Production scheduling method based on wooden furniture process standard and product BOM

Abstract

The invention discloses a production scheduling method based on wooden furniture process standards and product BOM, and relates to the technical field of wooden furniture production scheduling. The production scheduling method based on the wooden furniture process standard and the product BOM comprises the following steps: S101, establishing a standard process model according to a wooden furniture production process; s102, obtaining information to be produced; s103, carrying out productivity evaluation on each process node; s104, making a corresponding scheduling adjustment measure according to a scheduling detection result; s105, outputting a preliminary scheduling detection result, and calculating a scheduling result adjustment value according to the scheduling parameters; s106, productivity evaluation and scheduling detection are carried out again according to the scheduling result adjustment value; and S107, the adjusted scheduling parameter information is acquired, and the scheduling parameters are analyzed. The problem of how to dynamically and efficiently adjust the production schedule to adapt to variable production requirements and complex production processes is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of wooden furniture production scheduling, in particular to a production scheduling method based on wooden furniture process standards and product BOM. Background Art

[0002] As the market demand for wooden furniture increases, consumers' requirements for personalization and customization of furniture are also increasing. These demands have driven the wooden furniture manufacturing industry to shift to a more flexible and efficient production model. However, traditional production scheduling methods often have difficulty coping with complex and changing order requirements, resulting in low production efficiency, waste of resources and increased production costs.

[0003] Current wooden furniture manufacturers are facing many challenges, such as the complexity of production processes, the high responsiveness requirements for diversified products, and the flexible adjustment capabilities of production lines. In this environment, companies are in urgent need of an advanced production scheduling technology that can quickly respond to market changes, optimize resource allocation, and reduce production cycles. In addition, existing scheduling systems mostly use static scheduling methods and lack dynamic adjustment mechanisms, which are insufficient to cope with sudden changes and emergency orders in production.

[0004] Furthermore, the integrated application of process standards and product BOM information is particularly critical in the production of wooden furniture. Effective process standards and detailed BOM information can help companies plan materials and schedule production more accurately, but how to integrate this information into a dynamic and adaptive scheduling system is a problem that many current production management systems have failed to solve.

[0005] Therefore, in response to the above problems, a production scheduling method based on wooden furniture process standards and product BOM is urgently needed. Summary of the invention

[0006] In order to solve the above-mentioned problems of the prior art, the present invention provides a production scheduling method based on wooden furniture process standards and product BOM, which solves the problem of how to dynamically and efficiently adjust the production schedule to adapt to changing production needs and complex production processes.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a production scheduling method based on wooden furniture process standards and product BOM, including: S101, establishing a standard process model according to the wooden furniture production process, and identifying and managing the process nodes to achieve rapid identification and correspondence of the process standards; establishing a process circulation time database according to the standard process model; establishing a production calendar database according to the production plan; S102, obtaining information to be produced, and extracting the circulation time of the corresponding process node from the circulation time database; S103, conducting capacity evaluation on each process node , perform scheduling detection according to the capacity assessment results, and evaluate the feasibility of the current scheduling plan; S104, make corresponding scheduling adjustment measures according to the scheduling detection results; S105, output the preliminary scheduling detection results, review the scheduling results and adjust the scheduling parameters, record the change in the adjustment parameters, and calculate the scheduling result adjustment value according to the scheduling parameters; S106, re-perform capacity assessment and scheduling detection according to the scheduling result adjustment value, and generate a new scheduling plan; S107, obtain the adjusted scheduling parameter information and analyze the scheduling parameters, and make corresponding adjustment and optimization measures according to the analysis results.

[0008] Furthermore, the specific process of obtaining the information to be produced is: obtaining the information to be produced from the production calendar database, and the information to be produced includes: daily working hours, current number of products in process, product demand, available production days and product BOM information.

[0009] Furthermore, the specific process of extracting the circulation time of the corresponding process node from the circulation time database is: obtaining product BOM information, and extracting the number of working units of each process node, the single-piece circulation time of the process node, and the process node circulation time required for the product based on the obtained product BOM information.

[0010] Furthermore, the capacity assessment is performed on each process node, and the specific process of scheduling detection is as follows: obtaining the daily working hours, the number of working units at each process node, the circulation time of a single piece at the process node, and the current number of work-in-progress, and calculating the capacity assessment value through comprehensive calculation of the daily working hours, the number of working units at each process node, the circulation time of a single piece at the process node, and the current number of work-in-progress, and performing capacity assessment based on the capacity assessment value; obtaining the capacity assessment value, the product demand, the circulation time of the process node required for the product, the available production days, the number of scheduling-related data points, and the number of capacity assessment-related data points, and obtaining the scheduling detection value through comprehensive calculation of the capacity assessment value, the product demand, the circulation time of the process node required for the product, the available production days, the number of scheduling-related data points, and the number of capacity assessment-related data points.

[0011] Furthermore, the specific method of obtaining the production capacity assessment value is as follows: ; In the formula, represents the production capacity assessment value, Indicates daily working hours, Indicates the number of work units at each process node, represents the current number of work-in-progress at process node i, Represents the single piece circulation time of process node i.

[0012] Furthermore, the specific method of obtaining the scheduling detection value is as follows: ; In the formula, Indicates the schedule detection value. represents the production capacity assessment value, represents the demand quantity of product j, Indicates the circulation time of process node j required for product j, Indicates the number of available production days, Indicates the number of scheduling related data points, Indicates the number of data points related to capacity assessment.

[0013] Furthermore, the specific process of making corresponding scheduling adjustment measures according to the scheduling detection results is: real-time comparison of the scheduling detection value and the scheduling detection threshold. When the scheduling detection value is less than or equal to the scheduling detection threshold, it is considered that the production capacity meets the demand and the production schedule is planned; when the scheduling detection value is greater than the scheduling detection threshold, it proves that the production capacity is insufficient and executes the next step.

[0014] Furthermore, the specific process of calculating the scheduling result adjustment value according to the scheduling parameters is: obtaining the adjustment parameter change amount and the total number of adjustment-related evaluation items, and obtaining the scheduling result adjustment value by comprehensive calculation of the adjustment parameter change amount and the total number of adjustment-related evaluation items.

[0015] Furthermore, the specific method for obtaining the scheduling result adjustment value is as follows: ; In the formula Indicates the adjustment value of the scheduling result. Indicates the amount of adjustment parameter change. represents the weight coefficient of the adjustment parameter, Indicates the total number of related evaluation items to be adjusted.

[0016] Furthermore, the specific process of obtaining the adjusted scheduling parameter information and analyzing the scheduling parameters, and making corresponding adjustment optimization measures based on the analysis results is: obtaining the adjustment parameter information, analyzing the parameters, and when the adjustment involves the production calendar and circulation time, the adjustment results are fed back to the data reviewer; after the reviewer confirms, the corresponding circulation time database and production calendar database are updated to optimize the accuracy of the production schedule.

[0017] The beneficial effects of the present invention are embodied in: (1) The present invention, by implementing the methods from S101 to S107, can dynamically adjust the production schedule according to real-time production demand and process changes, thereby achieving high flexibility in production scheduling and effectively solving the problem of the scheduling system in the prior art that responds slowly to changes.

[0018] (2) The present invention, through detailed capacity evaluation and scheduling detection (S103 and S104), can accurately match production resources with order requirements, thereby maximizing resource utilization and minimizing waste, effectively solving the problems of improper resource allocation and serious waste in the prior art.

[0019] (3) The present invention improves production efficiency and shortens production cycle by quickly identifying process standards and product BOM information (S101 and S102) and performing real-time scheduling adjustments (S104 and S106), thereby effectively solving the problems of low production efficiency and long production cycle in the prior art.

[0020] (4) The present invention ensures the accuracy and reliability of the scheduling results by continuously tracking and adjusting the scheduling parameters (S105 to S107), thereby achieving the stability and predictability of the production process, and effectively solving the problems of frequent scheduling errors and unstable production in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of the production scheduling method based on wooden furniture process standards and product BOM provided by the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1The embodiment of the present invention provides a technical solution: an intelligent monitoring and early warning system for forestry pests and diseases based on the Internet of Things, including S101, establishing a standard process model according to the wooden furniture production process, and identifying and managing the process nodes to achieve rapid identification and correspondence of process standards; establishing a process circulation time database according to the standard process model; establishing a production calendar database according to the production plan; S102, obtaining information to be produced, and extracting the circulation time of the corresponding process node from the circulation time database; S103, conducting capacity evaluation for each process node, performing scheduling detection according to the capacity evaluation result, and evaluating the feasibility of the current scheduling plan; S104, making corresponding scheduling adjustment measures according to the scheduling detection result; S105, outputting preliminary scheduling detection results, reviewing the scheduling results and adjusting the scheduling parameters, recording the adjustment parameter changes, and calculating the scheduling result adjustment value according to the scheduling parameters; S106, re-performing capacity evaluation and scheduling detection according to the scheduling result adjustment value, and generating a new scheduling plan; S107, obtaining the adjusted scheduling parameter information and analyzing the scheduling parameters, and making corresponding adjustment optimization measures according to the analysis results.

[0024] Specifically, the specific process of obtaining the information to be produced is as follows: the information to be produced includes daily working hours, which is the basic information for determining the number of available production hours per day, which directly affects the capacity calculation and resource allocation. At the same time, the database also provides the current number of work-in-progress. This data helps the scheduling system understand the amount of work being done on site, so as to plan new production tasks more accurately. In addition, product demand is a key indicator for evaluating production line load and optimizing production scheduling, reflecting the intensity of market demand for different products. The number of available production days is directly related to the timeliness and practical operability of the entire production plan, which takes into account the impact of holidays, maintenance days or other non-production days. Finally, the product BOM information provides the necessary production materials, components and assembly details, which is the basic information to ensure the smooth progress of the production process.

[0025] In this implementation scheme, the process of obtaining information to be produced provides comprehensive and detailed data support for production scheduling, greatly enhancing the transparency and responsiveness of production management. By accurately collecting daily working hours, current number of work-in-progress, product demand, available production days, and product BOM information, this step ensures that all production activities can be optimized and scheduled based on actual working conditions and market demand. This not only improves production efficiency, reduces waiting time and material waste, but also enhances the company's adaptability to market changes. Accurate information to be produced makes production plans more in line with actual needs, ensures that resources are effectively utilized, and reduces uncertainty and risks in the production process. In addition, a systematic information collection and management process also helps to improve decision-making quality and make production scheduling more scientific and reasonable.

[0026] Specifically, the specific process of extracting the circulation time of the corresponding process node from the circulation time database is: obtaining the product BOM information, which lists in detail the raw materials, components and assembly sequence required to produce each product. This step is crucial because it provides the basis for subsequent data extraction. Subsequently, based on the obtained product BOM information, the system further extracts the number of work units for each process node, which includes the number of operators and equipment required for each node, which directly affects production efficiency and cycle. Next, the single-piece circulation time of the process node is calculated in detail. This data shows the time required for a single product component or material to pass through a specific process node, which is crucial for the scheduling algorithm to predict the overall production time. Finally, the system combines the above data to calculate the overall process node circulation time required for the product. This information is critical to ensuring the continuity and smoothness of the entire production process.

[0027] In this implementation scheme, the process of extracting the circulation time of the corresponding process node from the circulation time database is crucial to ensuring the accuracy of production scheduling and process optimization. By systematically acquiring and analyzing product BOM information, this step effectively extracts the number of work units, single-piece circulation time, and overall process node circulation time of each process node, which are the basis for formulating efficient production plans. This process directly affects the configuration and scheduling of the production line, ensuring that production activities can proceed smoothly according to the predetermined time and quality standards. By accurately measuring and applying circulation time, this method not only optimizes resource allocation, but also significantly improves production efficiency and reduces production delays and excessive costs caused by scheduling errors. Overall, this step provides a scientific data support framework that makes production management more precise, thereby greatly improving the response speed and market adaptability of the entire production system.

[0028] Specifically, the capacity of each process node is evaluated, and the scheduling test is performed based on the capacity evaluation results. The specific process is to obtain the daily working hours, the number of work units at each process node, the single-piece circulation time at the process node, and the current number of work-in-progress. This information provides basic data for capacity evaluation. The daily working hours show the length of time available for production each day, the number of work units reflects the production capacity of each process node, and the single-piece circulation time and the number of work-in-progress directly affect the total production time and efficiency of the node.

[0029] By combining these data, the capacity assessment value of each process node is calculated. This assessment value is a key indicator to measure whether each process node can meet production needs, taking into account production efficiency and potential bottlenecks. After the capacity assessment is completed, the system will use the capacity assessment value, product demand, the circulation time of the process node required by the product, the number of available production days, and the number of data points related to scheduling and the number of data points related to capacity assessment for further analysis. The integrated processing of these data makes it possible to calculate the scheduling detection value, which is used to determine the feasibility and optimization degree of the existing production plan.

[0030] In this implementation plan, the steps of capacity assessment and scheduling detection for each process node are crucial to improving production efficiency and ensuring the smooth operation of the production process. This step enables the production management team to accurately calculate the capacity assessment value of each process node by collecting key data such as daily working hours, number of work units, single-piece circulation time, and current number of work-in-progress in detail. This comprehensive assessment takes into account production efficiency, resource utilization, and potential bottlenecks, providing data support for subsequent production scheduling. Using these assessment values, combined with information such as product demand and production calendar, the scheduling detection values ​​are further calculated to help management make scientific decisions to adjust and optimize production scheduling. This not only ensures the actual executability of the production plan, but also greatly improves the rational allocation and utilization of resources, thereby effectively reducing waste and improving the overall efficiency of the production line and the ability to respond to the market.

[0031] Specifically, the specific method of obtaining the capacity assessment value is as follows: ; In the formula, represents the production capacity assessment value, Represents daily working hours, which refers to the total number of working hours available for production in a day. It directly determines the amount of work that can be completed by the process node in a day. Indicates the number of work units at each process node. A work unit may include the required operators, machines and other resources. It reflects the production capacity of the process node. The current number of WIP at process node i reflects the number of products currently being processed but not yet completed on the production line. This parameter directly affects the available capacity of the node. It represents the single-piece circulation time of process node i, that is, the time required to complete a product or component at this node.

[0032] In this implementation scheme, through the precise capacity assessment formula, this step can effectively quantify the actual capacity of each process node, providing scientific data support for production scheduling. In this formula, daily working hours are directly related to the basic calculation of production capacity, the number of work units reflects the production configuration capacity of each process node, the current number of work-in-progress provides real-time data on the production load being processed, and the single-piece circulation time measures the specific time required to complete a single unit of product. This comprehensive calculation method not only ensures the accuracy of production scheduling, but also helps identify potential production bottlenecks, making production plans more in line with actual production capacity. In addition, by continuously monitoring and adjusting these parameters, companies can respond to market changes more flexibly, optimize resource allocation, and improve production efficiency, thereby achieving the goal of reducing costs and increasing market response speed.

[0033] Specifically, the specific method for obtaining the scheduling detection value is as follows: ; In the formula, Indicates the scheduling detection value. This indicator is used to evaluate whether the current production schedule can meet production needs. It represents the capacity assessment value, reflecting the actual capacity of each process node. Indicates the demand quantity of product j, which directly affects the load of production scheduling. Indicates the circulation time of process node j required for product j, which is the time required to complete the product. Indicates the number of available production days, which is the total number of days available for production within the plan and is related to the overall production capacity. Indicates the number of scheduling related data points, It indicates the number of data points related to capacity assessment. The selection of these data points is usually adjusted according to the actual situation of the production line and historical data.

[0034] In this implementation scheme, by implementing the calculation formula of the scheduling detection value, this step significantly improves the scientificity and rationality of the production scheduling. This formula quantitatively evaluates whether the existing scheduling scheme can meet the production demand by comparing the ratio of the total demand to the total production capacity. This method not only helps to predict and identify potential production bottlenecks, but also enables the production management team to adjust the schedule in time to adapt to changes in actual production capacity and market demand. By weighing the demand for each product and the circulation time of the process node with the capacity assessment value and available production days of each process node, the formula provides an intuitive measure to determine the efficiency and effectiveness of the production scheduling. Such a measure not only improves the transparency of production, but also enhances the rational allocation and utilization of resources in the production process, thereby ensuring the smooth progress of production activities and the on-time delivery of products, and significantly improving the response speed of the entire production system.

[0035] Specifically, the specific process of making corresponding scheduling adjustment measures according to the scheduling detection results is: real-time comparison of the scheduling detection value and the scheduling detection threshold. When the scheduling detection value is less than or equal to the scheduling detection threshold, it means that the current production capacity is sufficient to meet the set production demand, so the production schedule is confirmed to be valid and can continue to be executed without adjustment. In this case, the production line will proceed according to the original plan to ensure that the production and delivery of the product are completed on time.

[0036] However, when the scheduling detection value is greater than the scheduling detection threshold, it indicates that the existing production capacity is insufficient to cope with the current production demand. At this time, the system will automatically trigger an alarm and report the situation to the production management team, prompting them to take measures to adjust the production schedule. This may include increasing work shifts, adjusting the configuration of the production line, temporarily increasing labor, or reallocating production resources to increase production capacity. In addition, this step may also involve in-depth analysis of specific process nodes to determine the specific causes of capacity shortages and possible solutions.

[0037] In this implementation scheme, the process of making corresponding scheduling adjustment measures according to the scheduling detection results significantly enhances the adaptability and flexibility of production scheduling. By comparing the real-time monitoring scheduling detection value with the preset threshold, this mechanism ensures that production activities can respond to changes in production capacity in a timely manner, thereby effectively responding to fluctuations in production demand. When the scheduling detection value is lower than or equal to the threshold, the system confirms that the current production capacity can meet the demand and maintain the continuity of the production plan; once the detection value exceeds the threshold, it immediately prompts insufficient production capacity and quickly guides the production management team to take measures, such as adjusting work shifts, optimizing resource allocation or reallocating tasks, to increase production capacity or reduce demand pressure. This not only improves production efficiency, but also reduces waste caused by capacity mismatch, ensuring that enterprises can improve their response speed to market changes and customer satisfaction while maintaining cost-effectiveness. In addition, this step enhances the controllability and predictability of the production process.

[0038] Specifically, the specific process of calculating the adjustment value of the scheduling result based on the scheduling parameters is as follows: First, obtain the change in the adjustment parameters, which includes the specific modified values ​​of all scheduling parameters that need to be changed, such as working hours, production line speed or resource allocation. These changes are determined based on the degree of mismatch between current production demand and predicted capacity, with the aim of ensuring that each change accurately reflects the actual impact on the production process. Next, it is necessary to obtain the total number of adjustment-related evaluation items, which refers to the number of all process nodes or production units affected by the parameter adjustment. This number provides a macro perspective, showing the breadth and depth of the adjustment, and helps to assess the scale and impact of the overall adjustment.

[0039] In this implementation scheme, the adjustment value of the scheduling result can be obtained by combining the change amount of the adjustment parameter with the total number of adjustment-related evaluation items. This adjustment value is a comprehensive indicator that reflects the overall effectiveness and expected effect of the adjustment measures and is used to guide the final modification of the production schedule. This calculation not only ensures the rationality and effectiveness of the adjustment measures, but also helps management evaluate whether the adjusted schedule can better meet production needs, thereby improving production efficiency, reducing resource waste, and optimizing the operating efficiency of the entire production process. This process effectively supports the dynamic management and continuous optimization of production scheduling through precise calculations and scientific methods, ensuring that production activities are optimally matched with market demand and resource supply.

[0040] Specifically, the specific method for obtaining the scheduling result adjustment value is as follows: ; In the formula Indicates the adjustment value of the scheduling result, which is used to evaluate the effect of the overall adjustment measures. Indicates the change in adjustment parameters, which specifically refers to the increase or decrease in the scheduling parameters, such as the adjustment of working hours or changes in resource allocation. The weight coefficient of the adjustment parameter is obtained from the production calendar database. The value range of the weight factor is usually set between 0.1 and 10 to emphasize the importance of certain adjustments according to the actual situation. Represents the total number of adjustment-related evaluation items, that is, the number of process nodes or production units involved in the adjustment.

[0041] In this implementation scheme, the total weighted adjustment in the numerator can be obtained by multiplying and accumulating the change in each adjustment parameter with its corresponding weight coefficient. The denominator is the sum of all weight coefficients. The purpose of this is to standardize the weighted adjustment to ensure that the calculation of the adjustment value is fair and comparable. This calculation method can accurately reflect the comprehensive effect of different scheduling adjustment measures, so that management can intuitively understand the overall impact of the adjustment measures and make further decisions. In this way, scheduling adjustments are not only based on quantitative data, but also take into account the actual importance of each adjustment, greatly improving the accuracy and practicality of scheduling adjustments. This systematic calculation method provides a powerful tool for production scheduling to adapt to complex and changing production needs and environmental changes.

[0042] Specifically, we obtain the adjusted scheduling parameter information and analyze the scheduling parameters, and make corresponding adjustment optimization measures based on the analysis results. The specific process is as follows: First, we obtain all relevant adjustment parameter information, which may cover multiple aspects such as production line speed adjustment and working time change. Then, the professional team will conduct an in-depth analysis of these parameters to examine the potential impact of each adjustment on the production process. This analysis is particularly important when the adjustment involves key factors such as production calendar and circulation time, because these factors are directly related to production efficiency and cost control.

[0043] After the analysis is completed, the adjustment results will be fed back to the data reviewer. This step is to ensure that all adjustment measures are based on accurate data and reasonable forecasts. The reviewer will conduct a detailed review based on the provided adjustment plan and analysis results to ensure that the adjustment measures are not only scientific and reasonable, but also can effectively solve the actual problems in the production process. Once the adjustment plan is reviewed, the relevant production calendar and circulation time database will be updated. This update not only reflects the adjusted scheduling requirements, but also optimizes the accuracy and responsiveness of the entire production schedule.

[0044] In this implementation plan, the adjusted scheduling parameter information is obtained and analyzed, and then the key database is updated through the data review process. This step is crucial to improving the accuracy and efficiency of the entire production schedule. This process ensures that all adjustment measures are based on detailed data analysis and strict review, thereby optimizing the settings of the production calendar and circulation time. After updating these key parameters, the responsiveness and adaptability of the entire production system are significantly improved, allowing the production process to respond more flexibly to changes in market demand and fluctuations in the production environment. In addition, through this refined management, the production plan is more scientific and reasonable, reducing production delays and resource waste caused by improper scheduling, while enhancing the company's ability to respond to uncertain factors, thereby improving production efficiency and economic benefits. This strategy not only improves the practical operability of production scheduling, but also ensures that the company can maintain efficient operation in a highly competitive market.

[0045] In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "top", "bottom", "inside", "outside", "inner side", "outer side" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Among them, "inside" refers to an internal or enclosed area or space. "Periphery" refers to the area surrounding a specific component or a specific area.

[0046] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0047] In the description of the embodiments of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "assemble" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0048] In the description of the embodiments of the present invention, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0049] In the description of the embodiments of the present invention, it should be understood that "-" and "~" represent the range between two values, and the range includes the endpoints. For example: "AB" represents a range greater than or equal to A and less than or equal to B. "A~B" represents a range greater than or equal to A and less than or equal to B.

[0050] In the description of the embodiments of the present invention, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " herein generally indicates that the associated objects before and after are in an "or" relationship.

[0051] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A production scheduling method based on wooden furniture process standards and product BOM, characterized in that: include: S101, establish a standard process model based on the wooden furniture production process, and manage the process nodes in a labeled manner to achieve rapid identification and correspondence of process standards; Establish a process flow time database based on the standard process model; establish a production calendar database based on the production plan; S102, obtaining information to be produced, and extracting the circulation time of the corresponding process node from the circulation time database; S103, perform capacity assessment on each process node, perform scheduling detection based on the capacity assessment results, and evaluate the feasibility of the current scheduling plan; S104, making corresponding scheduling adjustment measures according to the scheduling detection result; S105, outputting preliminary scheduling test results, reviewing scheduling results and adjusting scheduling parameters, recording the change in adjustment parameters, and calculating scheduling result adjustment values ​​according to scheduling parameters; S106, re-evaluating the capacity and checking the schedule according to the scheduling result adjustment value, and generating a new scheduling plan; S107, obtaining adjusted scheduling parameter information and analyzing the scheduling parameters, and making corresponding adjustment optimization measures according to the analysis results.

2. The production scheduling method based on wooden furniture process standards and product BOM according to claim 1, characterized in that: The specific process of obtaining the information to be produced is as follows: The production information to be produced is obtained from the production calendar database, including: daily working hours, current number of work-in-progress, product demand, available production days and product BOM information.

3. The production scheduling method based on wooden furniture process standards and product BOM according to claim 1, characterized in that: The specific process of extracting the circulation time of the corresponding process node from the circulation time database is as follows: Obtain product BOM information, and extract the number of work units at each process node, the single-piece circulation time at the process node, and the process node circulation time required for the product based on the obtained product BOM information.

4. The production scheduling method based on wooden furniture process standards and product BOM according to claim 1, characterized in that: The specific process of conducting capacity assessment for each process node and performing scheduling detection according to the capacity assessment result is as follows: Obtain the daily working hours, the number of work units at each process node, the single-piece circulation time at the process node, and the current number of work-in-progress products. The capacity assessment value is calculated based on the daily working hours, the number of work units at each process node, the single-piece circulation time at the process node, and the current number of work-in-progress products. Perform capacity assessment based on the capacity assessment value. The capacity assessment value, product demand, product process node flow time required, available production days, number of scheduling-related data points and number of capacity assessment-related data points are obtained, and the scheduling detection value is obtained by comprehensive calculation of the capacity assessment value, product demand, product process node flow time required and available production days, number of scheduling-related data points and number of capacity assessment-related data points.

5. The production scheduling method based on wooden furniture process standards and product BOM according to claim 4 is characterized in that: The specific method for obtaining the capacity assessment value is as follows: ； In the formula, represents the production capacity assessment value, Indicates daily working hours, Indicates the number of work units at each process node, represents the current number of work-in-progress at process node i, Represents the single piece circulation time of process node i.

6. The production scheduling method based on wooden furniture process standards and product BOM according to claim 4 is characterized in that: The specific method of obtaining the scheduling detection value is as follows: ； In the formula, Indicates the schedule detection value. represents the production capacity assessment value, represents the demand quantity of product j, Indicates the circulation time of process node j required for product j, Indicates the number of available production days, Indicates the number of scheduling related data points, Indicates the number of data points related to capacity assessment.

7. The production scheduling method based on wooden furniture process standards and product BOM according to claim 1, characterized in that: The specific process of making corresponding scheduling adjustment measures according to the scheduling detection results is as follows: Compare the scheduling detection value with the scheduling detection threshold in real time. When the scheduling detection value is less than or equal to the scheduling detection threshold, it is considered that the production capacity meets the demand and the production scheduling plan is implemented; When the scheduling detection value is greater than the scheduling detection threshold, it proves that the production capacity is insufficient and the next step is executed.

8. The production scheduling method based on wooden furniture process standards and product BOM according to claim 1, characterized in that: The specific process of calculating the scheduling result adjustment value according to the scheduling parameters is as follows: The adjustment parameter change amount and the total number of adjustment-related evaluation items are obtained, and the scheduling result adjustment value is obtained by comprehensive calculation of the adjustment parameter change amount and the total number of adjustment-related evaluation items.

9. The production scheduling method based on wooden furniture process standards and product BOM according to claim 1, characterized in that: The specific method for obtaining the scheduling result adjustment value is as follows: ； In the formula Indicates the adjustment value of the scheduling result. Indicates the amount of adjustment parameter change. represents the weight coefficient of the adjustment parameter, Indicates the total number of related evaluation items to be adjusted.

10. The production scheduling method based on wooden furniture process standards and product BOM according to claim 1, characterized in that: The specific process of obtaining the adjusted scheduling parameter information, analyzing the scheduling parameters, and making corresponding adjustment optimization measures according to the analysis results is as follows: Obtain adjustment parameter information and analyze the parameters. When the adjustment involves the production calendar and circulation time, feedback the adjustment results to the data reviewer; After confirmation by the auditor, the corresponding circulation time database and production calendar database will be updated to optimize the accuracy of production scheduling.

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