Household appliance production management system

Abstract

The invention discloses a household appliance production management system, which automatically inputs orders through a sales order input module to reduce manual errors, realizes online order approval and real-time state check through an order approval and follow-up module to provide basis for inventory query and processing and improve order processing efficiency, and realizes real-time inventory query and processing through an inventory query and processing module to improve production efficiency. The production plan approval and follow-up module ensures that a plan is reasonable through online approval, a production planner carries out scientific production scheduling, raw material purchasing is linked with the production scheduling module, production delay is avoided, the production line distribution module reasonably distributes production lines, production process monitoring is enhanced, and production efficiency is improved. The product production and quality inspection module carries out final assembly and quality inspection after production is completed, the product quality is ensured, qualified products are put in storage after quality inspection, closed-loop monitoring of production management is completed, the whole system process is automatic and intelligent, and the enterprise operation efficiency and the product quality are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of home appliance management, and particularly relates to a home appliance production management system. BACKGROUND

[0002] In the home appliance manufacturing industry, with the increasing market competition and the continuous improvement of consumer requirements for product quality and delivery speed, enterprises are facing great production management challenges. The traditional home appliance production management mode has the following defects: (1) low sales order processing efficiency: the entry, approval and follow-up process of sales orders usually relies on manual operation, which is prone to information entry errors, approval delays and other problems, resulting in long order processing cycle and decreased customer satisfaction; (2) inaccurate inventory management: inventory query and processing rely on manual or semi-automated systems, making it difficult to grasp inventory dynamics in real time, and prone to inventory accumulation or shortage, increasing enterprise operating costs; (3) unreasonable production planning and scheduling: the formulation and scheduling process of production planning lack scientific basis and often rely on experience, resulting in uneven allocation of production resources, low production efficiency and inability to meet market demand; (4) difficulty in monitoring production process: lack of effective monitoring and quality inspection means in the production process, making it difficult to ensure product quality and production progress, resulting in low product qualification rate and delayed delivery. SUMMARY

[0003] Therefore, the present application provides a home appliance production management system, which can effectively solve the defects of low sales order processing efficiency, inaccurate inventory management, unreasonable production planning and scheduling, and difficulty in monitoring the production process.

[0004] The technical scheme of the present application is as follows:

[0005] A home appliance production management system comprises:

[0006] A sales order entry module for entering sales orders into the production system according to the content of the sales contract;

[0007] An order approval and follow-up module for approving and following up sales orders;

[0008] An inventory query and processing module for querying the inventory system and determining whether production needs to be scheduled or produced according to the inventory of order products: if the inventory is sufficient, the sales delivery is performed; otherwise, a production plan sheet is generated;

[0009] A production plan approval and follow-up module for approving and following up production plan sheets;

[0010] A raw material procurement and production scheduling module for determining whether raw material procurement is needed according to the inventory of raw materials: if the raw materials are insufficient, the procurement department is notified to procure raw materials; otherwise, the production management department is notified to schedule production;

[0011] A production engineering sheet generation module is configured to automatically generate a production engineering sheet based on product information of the production plan sheet and a system product bill of materials;

[0012] A production line allocation module is configured to allocate production lines for product components and accessories in workshops based on production processes, man-hours, and equipment conditions of product materials, and dispatch the production engineering sheet to corresponding production lines in the workshops;

[0013] A product production and quality inspection module is configured to produce products based on the production engineering sheet and a production schedule, and complete production, quality inspection, and warehousing of the products after all production lines in the workshops complete production of the products.

[0014] As a further optional solution of the household appliance production management system, the sales order input module comprises:

[0015] A contract amount calculation sub-module is configured to calculate a total amount of the sales contract based on a product unit price, a quantity, and a possible discount rate in the sales contract according to a contract amount calculation formula, and input the total amount as first part of information of the sales order into the production system;

[0016] A delivery period calculation sub-module is configured to calculate a remaining time to a delivery period based on a delivery time agreed in the sales contract and a current date according to a delivery period offset formula, and input the remaining time as second part of information of the sales order into the production system;

[0017] A sales order generation sub-module is configured to automatically generate a sales order by integrating results of the contract amount calculation sub-module and the delivery period calculation sub-module, and a customer name, a product model, and a product specification in the sales contract, and input the sales order into the production system.

[0018] As a further optional solution of the household appliance production management system, the order approval and follow-up module comprises:

[0019] An order approval sub-module is configured to approve the input sales order;

[0020] A priority calculation sub-module is configured to calculate a priority index of each sales order based on a contract amount, a delivery period offset, a customer importance level, and a historical order fulfillment rate of the sales order;

[0021] An order allocation sub-module is configured to automatically allocate the sales order according to the priority index of the sales order calculated by the priority calculation sub-module;

[0022] A follow-up state tracking sub-module is configured to update a state of the order during the follow-up, and feed back the updated state information to the system in real time.

[0023] As a further optional solution of the household appliance production management system, the inventory query and processing module comprises:

[0024] An inventory query submodule is configured to query the inventory quantity, the safety inventory threshold, and the in-transit inventory quantity of each product in the inventory system in real time.

[0025] A historical sales data analysis submodule is configured to analyze the sales quantity of each product in a preset historical period of time and calculate the average sales rate.

[0026] A future sales prediction submodule is configured to predict the predicted sales quantity of each product in a future period of time based on the historical sales data, market trends, and promotion activity plans.

[0027] An inventory decision formula calculation submodule is configured to combine the current inventory quantity, the safety inventory threshold, the in-transit inventory quantity, the average sales rate, and the future predicted sales quantity, and calculate the inventory demand index according to an inventory decision formula.

[0028] An inventory processing decision submodule is configured to automatically determine whether the inventory is sufficient according to the inventory demand index obtained by the inventory decision formula calculation submodule, and if the inventory is sufficient, to perform sales delivery through inventory allocation; otherwise, to generate a production plan and input the production plan into the system production plan.

[0029] An inventory state updating submodule is configured to update the inventory quantity and related state information in the inventory system in real time after the inventory processing decision.

[0030] As a further optional solution of the household appliance production management system, the production plan approval and follow-up module comprises:

[0031] A production plan approval submodule is configured to approve the input production plan.

[0032] A production plan rationality evaluation submodule is configured to calculate a rationality index of each production plan according to a production plan rationality evaluation formula based on the product type, the production quantity, the production cycle, the raw material demand, and the current raw material inventory in the production plan, and the rationality index is used to evaluate the feasibility and efficiency of the production plan.

[0033] A priority sorting algorithm submodule is configured to calculate the priority of each production plan based on the rationality index, the order delivery period offset, and the customer priority.

[0034] A production plan allocation submodule is configured to automatically allocate and follow up the production plan according to the production plan priority obtained by the priority sorting algorithm submodule.

[0035] The follow-up state monitoring and adjustment submodule is configured to monitor production progress, raw material supply and equipment state in real time during the follow-up process, adjust the production plan according to the actual situation, and update the state information of the production plan sheet.

[0036] As a further optional solution of the household appliance production management system, the raw material procurement and production scheduling module comprises:

[0037] The raw material inventory query submodule is configured to query the raw material inventory system in real time to obtain the inventory quantity of each raw material at present;

[0038] The raw material demand prediction submodule is configured to calculate the predicted demand quantity of each raw material in a future period of time based on the product type, production quantity, product bill of materials and historical raw material consumption data in the production plan sheet, through a raw material demand prediction formula;

[0039] The raw material procurement decision submodule is configured to combine the current inventory quantity of the raw material inventory query submodule and the predicted demand quantity of the raw material demand prediction submodule, compare the two quantities, and determine whether raw material procurement is needed;

[0040] The production scheduling optimization algorithm submodule is configured to, when raw materials are sufficient, calculate the efficiency index of different production scheduling schemes based on the production plan sheet, product bill of materials, equipment capacity, work time quota and current production progress, through a production scheduling optimization algorithm;

[0041] The scheduling plan generation and distribution submodule is configured to derive an optimal production scheduling scheme according to the efficiency index of different production scheduling schemes, generate a detailed scheduling plan, and distribute the scheduling plan to the production management department for scheduling execution;

[0042] The procurement and scheduling state tracking submodule is configured to track the raw material procurement progress and production scheduling progress in real time.

[0043] As a further optional solution of the household appliance production management system, the production engineering sheet generation module comprises:

[0044] The production plan sheet analysis submodule is configured to analyze the product type, production quantity and delivery period information in the production plan sheet;

[0045] The product bill of materials matching submodule is configured to match the corresponding product bill of materials in the system product bill of materials according to the product type in the production plan sheet;

[0046] The production engineering sheet generation formula application submodule is configured to combine information from the production plan sheet analysis submodule and the product bill of materials matching submodule, calculate the production engineering sheet complexity index of the production product by using a production engineering sheet complexity index formula, and generate a production engineering sheet including detailed production steps, required materials, equipment requirements, and work quota information based on the production engineering sheet complexity index;

[0047] The production engineering sheet output and distribution submodule is configured to output the production engineering sheet as an electronic document or a paper document and distribute the production engineering sheet to a corresponding workshop production management department.

[0048] As a further optional solution of the household appliance production management system, the production line allocation module includes:

[0049] The product information analysis submodule is configured to analyze detailed production steps, required materials, equipment requirements, and work quota information in the production engineering sheet;

[0050] The production line capacity evaluation submodule is configured to evaluate the current state of each production line;

[0051] The production line allocation formula application submodule is configured to combine information from the product information analysis submodule and the production line capacity evaluation submodule, calculate the adaptability of each production line to the production of a specific product part or accessory by using a production line allocation formula, and calculate the adaptability of each production line to the production of a specific product part or accessory by using a production line allocation formula;

[0052] The production line allocation optimization submodule is configured to, based on the adaptability index of each production line obtained by the production line allocation formula application submodule, combine the delivery period requirement in the production plan, and allocate the most suitable production line for each product part or accessory by using an optimization algorithm.

[0053] The allocation result output and notification submodule is configured to output the production line allocation result as an electronic document or a paper document and notify a corresponding workshop production line.

[0054] As a further optional solution of the household appliance production management system, the product production and quality inspection module includes:

[0055] The production task receiving and analysis submodule is configured to receive a production engineering sheet and analyze detailed production steps, required materials, equipment requirements, and work quota information included in the production engineering sheet;

[0056] The production progress tracking submodule is configured to track the completion of each production process in real time, record actual production time, and calculate a production progress percentage;

[0057] The production efficiency evaluation submodule is configured to, based on data from the production progress tracking submodule, calculate a production efficiency index of each product by using a production efficiency evaluation formula.

[0058] An online quality inspection submodule is configured to perform online quality inspection on key processes and semi-finished products in the production process, record the quality inspection results, and determine whether the products are qualified according to preset quality standards;

[0059] A quality inspection pass rate prediction submodule is configured to predict the final quality inspection pass rate of the products in the current production batch based on historical quality inspection data of the online quality inspection submodule and through a self-created quality inspection pass rate prediction formula;

[0060] A finished product final inspection submodule is configured to perform comprehensive quality inspection on finished products after production, record the final quality inspection results, and compare and analyze the final quality inspection results with the predicted quality inspection pass rate;

[0061] A production and quality inspection data feedback submodule is configured to feedback the production efficiency index, the predicted quality inspection pass rate, and the actual quality inspection results.

[0062] The sales order input module can quickly and accurately input sales orders into the production system according to the content of the sales contract in an automated manner, reducing the possibility of manual input errors. The order approval and follow-up module realizes online approval and follow-up of the order, allowing real-time viewing of the order status and timely understanding of the order approval progress, providing accurate basis for subsequent inventory query and processing, thereby improving the overall processing efficiency of the sales order. The inventory query and processing module allows order clerks to query the inventory system in real time to obtain the inventory status of the order products. This real-time nature ensures the accuracy of the inventory data and avoids production or shipment delays due to lagging inventory information. The system automatically determines whether production needs to be scheduled or produced based on the inventory status. When the inventory is sufficient, the system directly performs sales warehouse delivery. When the inventory is insufficient, the system generates a production plan. This intelligent decision support reduces human intervention and improves the accuracy and efficiency of inventory management. The production plan approval and follow-up module ensures the rationality and feasibility of the production plan through online approval by the general manager. Based on the approved production plan and combined with the raw material inventory status, scientific production scheduling is performed. The raw material procurement and production scheduling module realizes the linkage between raw material procurement and production scheduling. Based on the raw material inventory status, it determines whether raw materials need to be purchased to ensure smooth production scheduling and avoid production delays due to insufficient raw materials. The production line distribution module reasonably distributes production lines based on product material production processes, working hours, and equipment conditions, and assigns production engineering sheets to corresponding workshop assembly lines for product production. This refined management approach strengthens the monitoring of the production process, ensuring that products are produced on time and to quality standards. The product production and quality inspection module performs final assembly and comprehensive quality inspection after production to ensure that the products meet quality standards. The products that pass the quality inspection go through the finished product warehouse process, completing the closed-loop monitoring of the entire production management process. BRIEF DESCRIPTION OF DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0064] Figure 1 It is a schematic diagram of the composition of the household appliance production management system of the present application.

[0065] Figure 2 It is a schematic diagram of the composition of the sales order entry module in the present application.

[0066] Figure 3 It is a schematic diagram of the composition of the order approval and follow-up module in the present application.

[0067] Figure 4 It is a schematic diagram of the composition of the inventory query and processing module in the present application.

[0068] Figure 5 It is a schematic diagram of the composition of the production plan approval and follow-up module in the present application.

[0069] Figure 6 It is a schematic diagram of the composition of the raw material procurement and production scheduling module in the present application.

[0070] Figure 7 It is a schematic diagram of the composition of the production engineering sheet generation module in the present application.

[0071] Figure 8 It is a schematic diagram of the composition of the production line allocation module in the present application.

[0072] Figure 9 It is a schematic diagram of the composition of the product production and quality inspection module in the present application. DETAILED DESCRIPTION

[0073] The technical solutions in the embodiments of the present application will be described clearly and completely below. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0074] REFERENCE Figures 1 to 9 A household appliance production management system, comprising a sales order entry module, an order approval and follow-up module, an inventory query and processing module, a production plan approval and follow-up module, a raw material procurement and production scheduling module, a production engineering sheet generation module, a production line allocation module, and a product production and quality inspection module.

[0075] a sales order entry module for entering sales order into production system according to the content of sales contract, in some embodiments, the sales order entry module comprises:

[0076] a contract amount calculation sub-module for calculating the total amount of sales contract based on the unit price (P) of products, quantity (Q) and possible discount rate (D, D value range is 0 to 1, indicating the proportion after discount) in sales contract, through the formula: contract amount (C) = Σ (P_i*Q_i*D_i) (where i represents different product items) to calculate the total amount of sales contract, and the total amount as the first part of the information of sales order into production system;

[0077] a delivery time calculation sub-module for calculating the remaining time from the delivery time according to the delivery time (T_delivery) and the current date (T_current) in the sales contract, through the formula: delivery time offset (ΔT) = T_delivery - T_current, and the remaining time as the second part of the information of sales order into production system;

[0078] a sales order generation sub-module for integrating the results of contract amount calculation sub-module and delivery time calculation sub-module, and other key information (such as customer name, product model, specifications, etc.) in sales contract, automatically generating sales order, and entering the order into the production system for subsequent order approval and follow-up module.

[0079] Specifically, the contract amount calculation submodule can automatically calculate the total amount of the sales contract based on the product unit price, quantity and possible discount rate in the sales contract according to the contract amount calculation formula, which reduces the possibility of manual calculation errors and improves the accuracy of contract amount calculation. The calculated total amount is entered as the first part of the sales order into the production system, providing an accurate data basis for subsequent financial accounting, production planning, etc. The delivery period calculation submodule calculates the remaining time to the delivery period based on the delivery time agreed in the sales contract and the current date through the delivery period offset formula. This calculation method enables the enterprise to keep track of the progress of the delivery period in real time, providing a time reference for production arrangement, logistics distribution, etc. The remaining time is entered as the second part of the sales order into the production system, and the enterprise can set different warning levels according to the length of the remaining time. When the remaining time approaches or falls below a certain threshold, the system can automatically issue a warning to remind relevant personnel to take timely measures to ensure timely delivery. The sales order generation submodule integrates the results of the contract amount calculation submodule and the delivery period calculation submodule, as well as the customer name, product model and product specifications in the sales contract, to automatically generate a sales order. This integrated processing method greatly improves the efficiency of sales order generation, reducing the time spent on manual entry and information organization. The sales order entry module realizes the full automation of contract amount calculation, delivery period calculation and sales order generation, reducing manual intervention and repetitive labor and improving the overall process efficiency. Information is shared and worked on in real time between the submodules, ensuring the accuracy and timeliness of the sales order information and providing strong data support for subsequent production planning, procurement, inventory management, etc., improving the collaborative efficiency within the enterprise.

[0080] The order approval and follow-up module is used to approve and follow up on the sales order. In some embodiments, the order approval and follow-up module includes:

[0081] The order approval submodule is used to approve the entered sales order, including but not limited to the accuracy, completeness of the order information and whether it meets the company's sales policy.

[0082] The priority calculation submodule calculates the priority index of each sales order based on multiple key parameters of the sales order, including but not limited to contract amount (C), delivery period offset (ΔT), customer importance level (R, value range 1-5, 1 being the lowest and 5 being the highest) and historical order fulfillment rate (H, value range 0-1, representing the percentage of fulfillment), through the priority calculation formula: Order Priority Index (OPI) = αC + β(1 / ΔT) + γR + δH (where α, β, γ, δ are weight coefficients and α + β + γ + δ = 1, and the values of each coefficient are adjusted according to business needs).

[0083] An order allocation submodule automatically allocates sales orders to corresponding order clerks for follow-up according to the order priority index derived by the priority calculation submodule, with orders of higher priority being preferentially allocated to order clerks with more experience or lighter loads;

[0084] A follow-up status tracking submodule is configured to update the status of an order during follow-up, including but not limited to production progress, logistics information, customer feedback, and the like, and to feed back the updated status information to the system in real time.

[0085] Specifically, the order approval submodule ensures that the approval process of sales orders by the order department manager complies with uniform standards, with the approval content covering the accuracy and completeness of order information and whether it complies with the company's sales policy, effectively avoiding the problem of inconsistent approval standards due to human factors. Through an electronic approval process, the transmission of paper documents and manual review time are reduced, significantly improving the efficiency of order approval and speeding up the order processing speed. The priority calculation submodule considers multiple key parameters such as contract amount, delivery period offset, customer importance level, and historical order fulfillment rate, and derives an order priority index through a scientific priority calculation formula, providing an objective basis for order allocation. According to the order priority index, the order allocation submodule can automatically allocate orders to corresponding order clerks for follow-up, ensuring that orders of higher priority are given priority for processing, while taking into account the experience and load of order clerks to achieve optimal allocation of human resources. The follow-up status tracking submodule allows order clerks to update the status of an order in real time during follow-up, including production progress, logistics information, customer feedback, and the like, ensuring the real-time and accuracy of order information. The updated status information is fed back to the system in real time for inquiry by the order department manager and other relevant departments, promoting information sharing and collaborative work between departments and improving overall operational efficiency. This module realizes the automated processing of order approval, priority calculation, allocation, and follow-up, reducing manual intervention and repetitive labor and reducing operational costs. Through a scientific priority calculation formula and intelligent order allocation strategy, the scientificity and accuracy of decision-making are improved, further reducing operational risks.

[0086] An inventory query and processing module is configured to query an inventory system and determine whether production needs to be scheduled or products need to be produced based on the inventory of products in the order: if the inventory is sufficient, the products are sold and delivered from the warehouse; otherwise, a production plan is generated. In some embodiments, the inventory query and processing module includes:

[0087] An inventory query submodule is configured to query the inventory quantity (S), safety stock threshold (SS), and in-transit inventory quantity (IT) of each product in the inventory system in real time.

[0088] Historical sales data analysis submodule, for analyzing the sales quantity of each product in the past period (such as the last three months) (HS_i, i represents different time periods), and calculating the average sales rate (AR) = Σ(HS_i) / n (n is the number of time periods);

[0089] Future sales prediction submodule, for predicting the expected sales quantity of each product in the future period (such as the next month) (FS) based on historical sales data, market trends and promotion activity plans;

[0090] Inventory decision formula calculation submodule, for combining the current inventory quantity (S), safety stock threshold (SS), in-transit inventory quantity (IT), average sales rate (AR) and future expected sales quantity (FS), and calculating the inventory demand index (IDI) through the inventory decision formula: Inventory Demand Index (IDI) = (FS-(S+IT-SS)) / AR (when the result is negative, it indicates that the inventory is sufficient, when the result is positive and greater than the preset threshold, it indicates that the inventory is insufficient, and production or production needs to be arranged), to calculate the inventory demand index;

[0091] Inventory processing decision submodule, for automatically judging whether the inventory is sufficient according to the inventory demand index obtained by the inventory decision formula calculation submodule, and if the inventory is sufficient, the inventory is delivered for sales through inventory allocation; if the inventory is insufficient, a production plan is generated and entered into the system production plan;

[0092] Inventory status updating submodule, for updating the inventory quantity and related state information in the inventory system in real time after the inventory processing decision, to ensure the accuracy and real-time performance of the inventory data.

[0093] Specifically, the inventory query submodule allows real-time query of the inventory quantity, safety stock threshold and in-transit inventory quantity of each product in the inventory system, ensuring the real-time and transparency of the inventory information, providing accurate data basis for inventory decision-making, and reducing the phenomenon of inventory accumulation or shortage caused by information lag, thereby improving the inventory turnover rate; the historical sales data analysis submodule helps enterprises understand product sales trends by analyzing the sales quantity of each product in the past period of time and calculating the average sales rate, providing historical data support for inventory decision-making. Based on historical sales data, enterprises can adjust inventory strategies, such as setting more reasonable safety stock thresholds, to cope with sales fluctuations; the future sales forecast submodule improves the accuracy of sales forecasting by considering historical sales data, market trends and promotion activity plans to predict the expected sales quantity of each product in the future period of time. Accurate sales forecasting enables enterprises to respond to market changes in advance, such as adjusting production plans and procurement plans, to reduce inventory risks; the inventory decision formula calculation submodule calculates the inventory demand index by using the self-created inventory decision formula in combination with the current inventory quantity, safety stock threshold, in-transit inventory quantity, average sales rate and future expected sales quantity, providing a scientific basis for inventory handling decisions. Based on the inventory demand index, the inventory handling decision submodule can automatically determine whether the inventory is sufficient and make corresponding inventory handling decisions, such as sales delivery or production plan generation, thereby improving decision-making efficiency and accuracy; the inventory status update submodule updates the inventory quantity and related status information in the inventory system in real time after the inventory handling decision, ensuring the accuracy and real-time of the inventory data, which provides strong support for subsequent production plans, procurement plans, etc., and helps enterprises achieve fine and intelligent inventory management; this module reduces manual intervention and repetitive labor through automated and intelligent inventory management, improving overall operational efficiency. Accurate inventory decisions and real-time inventory status updates help enterprises reduce inventory costs, such as reducing inventory accumulation and avoiding loss of shortage, thereby improving the profitability of enterprises.

[0094] The production plan approval and follow-up module is used for approving production plan sheets and handing them over to production planners for follow-up. In some embodiments, the production plan approval and follow-up module includes:

[0095] The production plan approval submodule is used for approving the entered production plan sheets, and the approval content includes but is not limited to the rationality of the production plan, the feasibility of resource allocation, and whether it meets the company's production strategy.

[0096] The production plan rationality evaluation submodule is used to calculate the rationality index of each production plan based on the product category (K), production quantity (Q_p, p represents different products), production cycle (T_p), raw material demand (M_r, r represents different raw materials), and current raw material inventory (I_r) in the production plan sheet through the production plan rationality evaluation formula: plan rationality index (PRI) = Σ [(Q_p * T_p) / (M_r * (I_r + expected procurement arrival amount_r))] * weight_p (where weight_p is set according to the importance and urgency of the product, and Σ weight_p = 1), to evaluate the feasibility and efficiency of the production plan;

[0097] The priority sorting algorithm submodule is used to calculate the priority of each production plan based on the plan rationality index (PRI) obtained by the production plan rationality evaluation submodule, the order delivery period offset (ΔT_o), and the customer priority (C_p, set according to the importance and historical cooperation of the customer) through the priority sorting algorithm: production plan priority (PPP) = αPRI + β(1 / ΔT_o) + γ*C_p (where α, β, γ are weight coefficients, and α + β + γ = 1, adjust the coefficient values according to business needs), to guide the work order of the production planner;

[0098] The production plan allocation submodule is used to automatically allocate production plans to corresponding production planners for follow-up according to the production plan priority obtained by the priority sorting algorithm submodule, with high-priority production plans being allocated to experienced or less-burdened production planners first;

[0099] The follow-up state monitoring and adjustment submodule is used to monitor production progress, raw material supply, equipment status, etc. in real time during follow-up, and adjust the production plan according to the actual situation (such as extending or shortening the production cycle, adjusting the production quantity, etc.), while updating the state information of the production plan sheet.

[0100] Specifically, the production plan approval submodule ensures that the approval process of the production plan sheet follows uniform standards, and the approval content covers the rationality of the production plan, the feasibility of resource allocation, and whether it conforms to the company's production strategy, effectively improving the scientificity and standardization of approval decisions. Through strict approval processes, potential risks in the production plan, such as resource conflicts and unreasonable production cycles, can be identified and avoided in advance, ensuring the feasibility of the production plan. The production plan rationality evaluation submodule calculates a rationality index for each production plan sheet by considering multiple factors such as product types, production quantities, production cycles, raw material requirements, and current raw material inventory, using a self-created rationality evaluation formula. This achieves quantitative evaluation of production plan rationality. Based on the rationality index, the enterprise can optimize and adjust the production plan, such as adjusting production quantities, production cycles, or raw material procurement plans, to improve the feasibility and efficiency of the production plan. The priority sorting algorithm submodule considers multiple factors such as production plan rationality index, order delivery period offset, and customer priority, and calculates the priority of each production plan sheet through a scientific priority sorting algorithm, providing an objective basis for production plan allocation. According to the priority sorting results, the production plan allocation submodule can automatically assign production plan sheets to corresponding production planners for follow-up, ensuring that production plan sheets with high priority are processed first and achieving efficient use of production resources. The follow-up status monitoring and adjustment submodule allows production planners to monitor key information such as production progress, raw material supply, and equipment status in real time during the follow-up process, ensuring smooth execution of the production plan. According to actual conditions, production planners can adjust the production plan (such as extending or shortening the production cycle, adjusting the production quantity, etc.) in a timely manner to cope with uncertainties and changes in the production process, ensuring the flexibility and adaptability of the production plan. The updated production plan sheet status information is fed back to the system in real time for the production general manager and other relevant departments to query, improving information transparency and sharing. Through information sharing, it promotes the collaborative work between the production department and other relevant departments (such as procurement, logistics, sales, etc.), improving the overall operational efficiency.

[0101] For determining whether raw material procurement is needed according to the raw material inventory: if the raw material is insufficient, the procurement department is notified to procure raw materials; otherwise, the production management department is notified to arrange production. In some embodiments, the raw material procurement and production arrangement module includes:

[0102] A raw material inventory query submodule is configured to query a raw material inventory system in real time to obtain the current inventory quantity of each raw material (I_r, where r represents different raw materials);

[0103] The raw material demand prediction sub-module is configured to calculate the predicted demand of each raw material in a future period (e.g., in a production planning cycle) based on the product type (K), production quantity (Q_p), product bill of materials (BOM), and historical raw material consumption data in the production plan, through a raw material demand prediction formula: D_r = Σ(Q_p * BOM_r * (1 + safety stock coefficient)) (where BOM_r is the quantity of raw material r required for producing one unit of product, and the safety stock coefficient is set according to the stability of raw material supply and production volatility).

[0104] The raw material procurement decision sub-module is configured to combine the current inventory quantity (I_r) of the raw material inventory query sub-module and the predicted demand (D_r) of the raw material demand prediction sub-module, and compare the two quantities. If I_r < D_r, it is determined that the raw material is insufficient, and the procurement department needs to be notified to procure raw materials, with the procurement quantity being D_r - I_r. If I_r ≥ D_r, it is determined that the raw material is sufficient, and no procurement is needed.

[0105] The production scheduling optimization algorithm sub-module is configured to, when the raw material is sufficient, calculate the efficiency index of different production scheduling schemes based on the production plan, product bill of materials, equipment capacity (C_d, d representing different equipment), work time quota (T_w, w representing different processes), and current production progress, through a self-created production scheduling optimization algorithm: E_s = Σ[(Q_p / (C_d * T_w * equipment utilization rate_d))]*weight_p (where the equipment utilization rate_d is set according to the historical usage and maintenance status of the equipment, the weight_p is set according to the importance and urgency of the product, and Σweight_p = 1), to optimize production scheduling, improve production efficiency and resource utilization.

[0106] The scheduling plan generation and distribution sub-module is configured to generate a detailed scheduling plan based on the optimal production scheduling scheme obtained by the production scheduling optimization algorithm sub-module, and distribute it to the production management department for scheduling execution.

[0107] The procurement and scheduling status tracking sub-module is configured to track the progress of raw material procurement and production scheduling in real time, ensure that procurement and scheduling plans are carried out as planned, and timely feedback abnormal situations for production planner to adjust decisions.

[0108] Specifically, the raw material inventory query submodule allows production planners to query the raw material inventory system in real time, obtaining the current inventory quantity of each raw material and providing accurate data for procurement decisions. By monitoring raw material inventory in real time, enterprises can adjust inventory strategies in a timely manner to avoid overstocking or stockouts and reduce inventory costs. The raw material demand forecasting submodule calculates the forecasted demand for each raw material over a future period of time based on production planning sheets, product bill of materials, and historical raw material consumption data, improving the accuracy of forecasts. Accurate raw material demand forecasting enables enterprises to make advance production preparations, such as procuring raw materials in advance and arranging production plans, ensuring smooth production. The raw material procurement decision submodule automatically determines whether raw materials are sufficient by comparing current inventory quantities with forecasted demand and provides procurement recommendations, achieving intelligent and automated procurement decisions. Through intelligent procurement decisions, enterprises can reasonably control procurement quantities, avoid excessive procurement that leads to capital occupation and waste, and reduce procurement costs. The production scheduling optimization algorithm submodule calculates the efficiency index of different production scheduling schemes based on production planning sheets, product bill of materials, equipment capacity, work time quota, and current production progress, optimizing production scheduling and improving production efficiency. Through optimized production scheduling, enterprises can more reasonably allocate production resources such as equipment and manpower, improve resource utilization, and reduce production costs. The scheduling plan generation and distribution submodule automatically generates detailed scheduling plans based on the optimal production scheduling scheme obtained from the production scheduling optimization algorithm and distributes them to the production management department for scheduling execution, improving the efficiency of plan generation. Automated scheduling plan generation and distribution ensure the accuracy and consistency of production plans, reducing human error and communication costs. The procurement and scheduling status tracking submodule tracks raw material procurement progress and production scheduling progress in real time, ensuring that procurement and scheduling plans are carried out as planned. Through real-time tracking, enterprises can promptly identify and address abnormal situations during procurement and scheduling, such as delayed raw material supply and production equipment failure, ensuring production continuity and stability.

[0109] A production engineering sheet generation module is configured to automatically generate a production engineering sheet based on product information of a production planning sheet and a system product bill of materials. In some embodiments, the production engineering sheet generation module includes:

[0110] A production planning sheet analysis submodule is configured to analyze key information in a production planning sheet, such as product type (K), production quantity (Q_p), and delivery period (T_delivery).

[0111] A product bill of materials matching submodule is configured to match a corresponding product bill of materials (BOM) in a system product bill of materials based on product type (K) in a production planning sheet, including types (M_i, i represents different materials), quantities (N_i), and specification requirements of each component and raw material.

[0112] Production engineering sheet generation formula application sub-module, combining the information of production plan sheet analysis sub-module and product bill of materials matching sub-module, through production engineering sheet generation formula: production engineering sheet complexity index (C_e) = Σ (N_i * process complexity coefficient_i * man-hour quota_i, wherein process complexity coefficient_i is set according to the processing difficulty of parts or raw materials, and man-hour quota_i is the man-hour required for producing a unit quantity of parts or raw materials), the overall complexity of producing the product is calculated, and based on this, the production engineering sheet containing detailed production steps, required materials, equipment requirements, man-hour quota and other information is generated;

[0113] Resource allocation optimization sub-module, based on the production engineering sheet complexity index (C_e) obtained by the production engineering sheet generation formula application sub-module, combining the availability of current production resources (such as equipment, manpower, materials, etc.), through resource allocation optimization algorithm, the allocation of production resources is optimized to ensure the maximization of production efficiency and resource utilization rate;

[0114] Among them, the resource allocation optimization algorithm is represented as max (α*Eprod+β*Uresource);

[0115] Eprod represents production efficiency, which can be measured by production engineering sheet completion time, output and other indicators, Uresource represents resource utilization rate, which can be measured by equipment utilization rate, manpower utilization rate and other indicators, and α and β are weight coefficients for balancing the importance of production efficiency and resource utilization rate;

[0116] Production engineering sheet output and distribution sub-module outputs the production engineering sheet as an electronic document or a paper document, and distributes it to the corresponding workshop production department for its organization and production.

[0117] In particular, the production plan sheet parsing sub-module can accurately extract the product type, production quantity, delivery period and other key information in the production plan sheet, providing an accurate data basis for subsequent production engineering sheet generation. Through automatic parsing, errors that may occur when manually extracting information are reduced, improving the accuracy and reliability of the data. The product bill of materials matching sub-module can quickly match the corresponding product bill of materials in the system product bill of materials according to the product type in the production plan sheet, including the types, quantities and specification requirements of each component and raw material. Accurate bill of materials matching ensures the correctness and integrity of the required materials in the production process, avoiding production delays caused by missing or incorrect materials. The production engineering sheet generation formula application sub-module quantifies the overall complexity of producing the product by calculating the production engineering sheet complexity index, providing a scientific basis for the allocation of production resources. Based on the complexity index and other related information, this sub-module can generate a production engineering sheet containing detailed production steps, required materials, equipment requirements, and work quota information, providing comprehensive guidance for production. The resource allocation optimization sub-module optimizes the allocation of production resources based on the production engineering sheet complexity index and the availability of current production resources, using a resource allocation optimization algorithm to ensure the maximization of production efficiency and resource utilization. By optimizing resource allocation, enterprises can reduce resource waste and idle time, reducing production costs. The production engineering sheet output and distribution sub-module can output the production engineering sheet as an electronic or paper document to meet the needs of different production departments. Through an automated distribution process, it ensures that the production engineering sheet is timely and accurately distributed to the corresponding workshop production management departments for their organization and production, improving the efficiency of production management.

[0118] A production line allocation module is used by production managers to allocate production lines to product components and accessories based on product material production processes, work hours, and equipment conditions, and to distribute production engineering sheets to corresponding workshop production management departments. In some embodiments, the production line allocation module includes:

[0119] A product information parsing sub-module is used to parse the product type (K), component and accessory list (P_j, j represents different components or accessories), production process (S_j), work quota (T_j), and required equipment type (D_j) in the production engineering sheet.

[0120] A production line capacity assessment sub-module is used to assess the current state of each production line, including the number of available equipment (N_d, d represents different equipment types), equipment utilization rate (U_d), current production task volume (L_d), and maximum production capacity (C_d).

[0121] The production line distribution formula application sub-module combines the information of the product information analysis sub-module and the production line capacity evaluation sub-module, and calculates the adaptability of each production line to the production of specific product parts or accessories through a production line distribution formula: production line adaptability index (F_d) = Σ[(C_d-L_d) / (N_d*U_d*Σ(T_j*demand coefficient_j))]*weight_j (where the demand coefficient_j is set according to the urgency and importance of the parts or accessories, the weight_j is set according to the key degree of each part or accessory in the product, and Σweight_j = 1).

[0122] The production line distribution optimization sub-module, based on the production line adaptability index (F_d) obtained by the production line distribution formula application sub-module, combines the delivery time requirement (T_delivery) in the production plan, and distributes the most suitable production line for each part or accessory through an optimization algorithm, to ensure the dual satisfaction of production efficiency and delivery time.

[0123] The distribution result output and notification sub-module outputs the determined production line distribution result as an electronic or paper document, and notifies the corresponding workshop production department for its organization and production.

[0124] Specifically, the product information parsing submodule can accurately extract key information from production work orders, such as product types, parts and accessories lists, production processes, time quotas, and required equipment types. This provides a comprehensive and accurate data foundation for subsequent production line allocation. Automated parsing reduces errors that may occur during manual information extraction, improving data accuracy and reliability, and contributing to the accuracy of subsequent allocation decisions. The production line capacity assessment submodule comprehensively evaluates the current status of each production line, including key indicators such as the number of available equipment, equipment utilization rate, current production workload, and maximum production capacity. This provides a scientific basis for production line allocation. Through assessment, enterprises can understand the actual carrying capacity of each production line, providing data support for subsequent resource optimization. The production line allocation formula application submodule calculates the production line adaptability index, quantifying the suitability of each production line for producing specific product parts or... The compatibility of components provides an objective and quantifiable evaluation standard for production line allocation. Based on the compatibility index, enterprises can make more scientific and reasonable production line allocation decisions, improving production efficiency and resource utilization. The production line allocation optimization submodule combines the production line compatibility index and delivery time requirements, and uses optimization algorithms to allocate the most suitable production line to each component or accessory, ensuring both production efficiency and delivery time are met. Through optimized allocation, enterprises can reduce production delays caused by improper production line selection and improve the overall efficiency of production management. The allocation result output and notification submodule can output the determined production line allocation results as electronic or paper documents to meet the needs of different production departments. Through an automated notification process, it ensures that the allocation results can be promptly and accurately conveyed to the corresponding workshop production management departments for their use in organizing production, improving the response speed and collaboration capabilities of production management.

[0125] The product production and quality inspection module is used by the workshop production management department to assign products to the workshop assembly lines for production based on the production work order and schedule, until all assembly lines complete production, the products are assembled, inspected, and put into storage. In some embodiments, the product production and quality inspection module includes:

[0126] The production task receiving and parsing submodule is used to receive production work orders and parse the product type (K), production quantity (Q_p), production process (S_j) of each part or accessory, time quota (T_j) and quality standard (Q_s) contained therein.

[0127] The production progress tracking submodule tracks the completion status of each production process in real time, records the actual production hours (AT_j), and calculates the production progress percentage (Progress_p = Σ(completed process hours / total corresponding process hours) / total number of processes).

[0128] The production efficiency evaluation submodule calculates the production efficiency index of each product based on the data of the production progress tracking submodule through a self-created production efficiency evaluation formula: production efficiency index (PEI_p) = (Σ(T_j / AT_j) / total process number)*weight_t + Progress_p*weight_p, wherein weight_t and weight_p are set according to production management requirements, and weight_t + weight_p = 1, and the production efficiency index is used to evaluate the efficiency of the production process, wherein the specific value range of the production efficiency index (PEI_p) is [0, +∞), wherein when PEI_p = 0, it indicates that the actual production man-hours of each process are infinite, the production progress percentage is 0, the production process is completely stagnant, and the efficiency is the lowest; when PEI_p > 1, it indicates that the actual production man-hours are less than the man-hour quota, the production progress is faster, and the production efficiency is higher; the greater the value of PEI_p, the smaller the actual production man-hours relative to the man-hour quota, the faster the production progress, and the higher the efficiency of the production process;

[0129] The online quality inspection submodule performs online quality inspection on key processes and semi-finished products in the production process, records the quality inspection results (QC_result_k, k represents different inspection points), and determines whether they are qualified according to the preset quality standards;

[0130] The quality inspection pass rate prediction submodule predicts the final quality inspection pass rate of the current production batch of products based on the historical quality inspection data of the online quality inspection submodule through a self-created quality inspection pass rate prediction formula: quality inspection pass rate prediction value (PFQ_p) = [Σ(qualified quality inspection point number_k) / Σ(total quality inspection point number_k)]*adjustment coefficient (wherein the adjustment coefficient is set according to the historical quality inspection pass rate fluctuation and the current production conditions, and the value range of the adjustment coefficient is generally between 0.8 and 1.2, which is based on the analysis of historical data and the summary of production management experience, but it is not absolute, and the specific value needs to be adjusted according to the actual situation), wherein the value range of the final quality inspection pass rate is usually between 0% and 100%, 0% means that all products fail the inspection, and 100% means that all products pass the inspection, in actual production, due to various factors, the final quality inspection pass rate will usually fluctuate within this range, the higher the quality inspection pass rate, the more stable the product quality, and the better the production process control;

[0131] The finished product final inspection submodule performs comprehensive quality inspection on the finished products after production, records the final inspection results (Final_QC_result), and compares and analyzes them with the quality inspection pass rate prediction value;

[0132] The production and quality inspection data feedback submodule feeds the production efficiency index (PEI_p), the quality inspection pass rate prediction value (PFQ_p) and the actual quality inspection result (for example, the number and classification of unqualified products, the defect rate, the quality inspection pass rate, the rework rate, the scrap rate, the key process pass rate and the quality inspection time) to the production management personnel for production process optimization and quality control decision-making.

[0133] Specifically, the production task receiving and analyzing submodule can accurately receive and analyze the key information in the production engineering single, including product type, production quantity, production process, work hour quota and quality standard, etc., providing accurate data basis for subsequent production and quality inspection. Through automatic analysis, errors that may occur when information is extracted and interpreted by humans are reduced, improving the accuracy and reliability of the data. The production progress tracking submodule can track the completion of each production process in real time, record the actual production time and calculate the production progress percentage, enabling the production management personnel to intuitively understand the production progress. The production efficiency evaluation submodule calculates the production efficiency index of each product through a self-created production efficiency evaluation formula, providing a quantitative index for efficiency evaluation of the production process, which helps the production management personnel to timely discover and solve production bottleneck problems. The online quality inspection submodule performs online quality inspection on key processes and semi-finished products during the production process, records the quality inspection results and determines whether they are qualified according to the preset quality standards, realizing real-time control of quality and reducing the generation of unqualified products. The quality inspection pass rate prediction submodule predicts the final quality inspection pass rate of the current production batch of products based on historical quality inspection data through a self-created quality inspection pass rate prediction formula, providing a warning mechanism for the production management personnel and helping them to take measures to improve product quality in advance. The finished product final inspection submodule performs comprehensive quality inspection on finished products after production is completed, records the final quality inspection results and ensures the comprehensiveness and accuracy of product quality. By comparing and analyzing the final quality inspection results with the quality inspection pass rate prediction value, the production management personnel can understand the accuracy of the prediction model and adjust the prediction model or the production process accordingly, improving the precision of product quality control. The production and quality inspection data feedback submodule feeds the production efficiency index, the quality inspection pass rate prediction value and the actual quality inspection result to the production management personnel, providing comprehensive data support for production process optimization and quality control decision-making. Based on the feedback data, the production management personnel can more scientifically formulate production plans, adjust the production process, optimize resource allocation, improve production efficiency and product quality and reduce production costs.

[0134] The above merely describes preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A home appliance production management system, characterized in that, include: The sales order entry module is used to enter sales orders into the production system based on the content of the sales contract; The order approval and follow-up module is used to approve and follow up on sales orders; The inventory query and processing module is used to query the inventory system and determine whether production scheduling or production is needed based on the inventory status of the ordered products: if the inventory is sufficient, sales and shipment will be carried out. Otherwise, generate a production plan. The production plan approval and follow-up module is used to approve and follow up on production plan orders; The raw material procurement and production scheduling module is used to determine whether raw material procurement is necessary based on the raw material inventory: if raw materials are insufficient, the procurement department is notified to procure raw materials; otherwise, the production management department is notified to schedule production. The production work order generation module is used to automatically generate production work orders based on the product information in the production plan and the system's product bill of materials. The production line allocation module is used to allocate production lines in the assembly workshop to product parts and accessories based on the production process, working hours, and equipment conditions of the product materials, and to assign production work orders to the corresponding assembly line in the workshop. The product manufacturing and quality inspection module is used to assign products to the workshop assembly lines for production according to the production engineering order and schedule, until all workshop assembly lines have completed product production, and the products are finally assembled, inspected, and put into storage.

2. The home appliance production management system according to claim 1, characterized in that, The sales order entry module includes: The contract amount calculation submodule is used to calculate the total amount of the sales contract based on the product unit price, quantity and possible discount rate in the sales contract, according to the contract amount calculation formula, and enter the total amount as the first part of the sales order information into the production system. The delivery date calculation submodule is used to calculate the remaining time until the delivery date based on the delivery time agreed in the sales contract and the current date, using the delivery date offset formula, and then enters the remaining time as the second part of the sales order information into the production system. The sales order generation submodule integrates the results of the contract amount calculation submodule and the delivery date calculation submodule, as well as the customer name, product model and product specifications in the sales contract, to automatically generate a sales order and enter the sales order into the production system.

3. The home appliance production management system according to claim 2, characterized in that, The order approval and follow-up module includes: The order approval submodule is used to approve the entered sales orders; The priority calculation submodule is used to calculate the priority index of each sales order based on the contract amount, delivery date offset, customer importance level, and historical order fulfillment rate. The order allocation submodule is used to calculate the order priority index derived by the priority submodule and automatically allocate and follow up on sales orders. The follow-up status tracking submodule is used to update the order status during the follow-up process and feed the updated status information back to the system in real time.

4. The home appliance production management system according to claim 3, characterized in that, The inventory query and processing module includes: The inventory query submodule is used to query the inventory quantity, safety stock threshold, and in-transit inventory quantity of each product in the inventory system in real time. The historical sales data analysis submodule is used to analyze the sales volume of each product within a preset historical period and calculate the average sales rate. The Future Sales Forecasting submodule is used to forecast the expected sales volume of each product over a future period based on historical sales data, market trends, and promotional activity plans. The inventory decision formula calculation submodule is used to calculate the inventory demand index based on the inventory decision formula by combining the current inventory quantity, safety stock threshold, in-transit inventory quantity, average sales rate and future expected sales quantity. The inventory handling decision submodule is used to calculate the inventory demand index derived from the submodule based on the inventory decision formula, and automatically determine whether the inventory is sufficient: if the inventory is sufficient, sales and shipment are carried out through inventory transfer; otherwise, a production plan is generated and entered into the system production plan sheet. The inventory status update submodule is used to update the inventory quantity and related status information in the inventory system in real time after an inventory processing decision is made.

5. The home appliance production management system according to claim 4, characterized in that, The production plan approval and follow-up module includes: The production plan approval submodule is used to approve the entered production plan. The production plan rationality assessment submodule is used to calculate the rationality index of each production plan based on the product type, production quantity, production cycle, raw material demand and current raw material inventory in the production plan. The rationality index is used to assess the feasibility and efficiency of the production plan. The priority ranking algorithm submodule is used to calculate the priority of each production plan based on the rationality index, order delivery date offset, and customer priority. The production planning allocation submodule is used to automatically allocate and follow up on production plans based on the production plan priority obtained from the priority sorting algorithm submodule. The follow-up status monitoring and adjustment submodule is used to monitor production progress, raw material supply and equipment status in real time during the follow-up process, and adjust the production plan according to the actual situation, while updating the status information of the production plan.

6. The home appliance production management system according to claim 5, characterized in that, The raw material procurement and production scheduling module includes: The raw material inventory query submodule is used to query the raw material inventory system in real time and obtain the current inventory quantity of each raw material. The raw material demand forecasting submodule is used to calculate the forecasted demand for each raw material in the future period based on the product type, production quantity, product bill of materials and historical raw material consumption data in the production plan. The raw material procurement decision submodule is used to combine the current inventory quantity from the raw material inventory query submodule with the predicted demand quantity from the raw material demand forecast submodule, and determine whether raw material procurement is necessary by comparing the two. The production scheduling optimization algorithm submodule is used to calculate the efficiency index of different production scheduling schemes based on the production plan, product bill of materials, equipment capacity, time quota and current production progress when raw materials are sufficient. The production scheduling plan generation and allocation submodule is used to derive the optimal production scheduling plan based on the efficiency index of different production scheduling schemes, generate detailed production scheduling plans, and allocate them to the production management department for scheduling execution. The procurement and production scheduling status tracking submodule is used to track the progress of raw material procurement and production scheduling in real time.

7. The home appliance production management system according to claim 6, characterized in that, The production work order generation module includes: The Production Plan Parsing Submodule is used to parse the product type, production quantity, and delivery date information in the production plan. The product bill of materials matching submodule is used to match the corresponding product bill of materials in the system's product bill of materials based on the product types in the production plan. The Production Work Order Generation Formula Application Submodule combines information from the Production Plan Parsing Submodule and the Product Bill of Materials Matching Submodule to calculate the production work order complexity index of the product using the production work order complexity index formula. Based on the production work order complexity index, it generates a production work order that includes detailed production steps, required materials, equipment requirements, and time quota information. The Production Engineering Order Output and Distribution Submodule is used to output the Production Engineering Order as an electronic document or a paper document and distribute it to the corresponding workshop production management department.

8. The home appliance production management system according to claim 7, characterized in that, The production line allocation module includes: The product information parsing submodule is used to parse the detailed production steps, required materials, equipment requirements and time quotas in the production engineering order. The production line capacity assessment submodule is used to assess the current status of each production line; The production line allocation formula application submodule is used to combine information from the product information parsing submodule and the production line capacity assessment submodule to calculate the suitability of each production line for producing specific product parts or accessories using the production line allocation formula. The production line allocation optimization submodule is used to allocate the most suitable production line to each component or accessory based on the adaptability index of each production line obtained by the production line allocation formula application submodule, combined with the delivery date requirements in the production plan, through optimization algorithms. The allocation result output and notification submodule is used to output the production line allocation results as electronic or paper documents and notify the corresponding workshop production lines.

9. The home appliance production management system according to claim 8, characterized in that, The product manufacturing and quality inspection module includes: The production task receiving and parsing submodule is used to receive production work orders and parse the detailed production steps, required materials, equipment requirements and time quota information contained therein. The production progress tracking submodule is used to track the completion status of each production process in real time, record the actual production hours, and calculate the production progress percentage. The production efficiency assessment submodule is used to calculate the production efficiency index of each product based on the data from the production progress tracking submodule and the production efficiency assessment formula. The online quality inspection submodule is used to perform online quality inspection on key processes and semi-finished products during the production process, record the inspection results, and determine whether they are qualified according to preset quality standards. The quality inspection pass rate prediction submodule is used to predict the final quality inspection pass rate of the current production batch of products based on the historical quality inspection data of the online quality inspection submodule and through a self-created quality inspection pass rate prediction formula. The final inspection submodule is used to conduct comprehensive quality inspection of finished products after production is completed, record the final quality inspection results, and compare and analyze them with the predicted quality inspection pass rate. The production and quality inspection data feedback submodule is used to provide feedback on the production efficiency index, the predicted quality inspection pass rate, and the actual quality inspection results.

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