Production supply chain integrated management system based on industrial automation

Abstract

The invention relates to the technical field of industrial automation management, and discloses an industrial automation-based production supply chain integrated management system, which comprises a multi-dimensional acquisition module and an intelligent management module. According to the production supply chain integrated management system based on industrial automation, management data of all production lines, transaction data of all orders and fluctuation information of all influence factors are acquired through a multi-dimensional acquisition module and are classified to form a data set, and an intelligent management module analyzes the supply stability of the production lines and the marketing degree of products corresponding to the orders; the intelligent management module is used for setting a fixed monitoring period, analyzing the change trend of each influence factor and generating a monitoring data set, the multi-dimensional monitoring response speed is high, and then the supply stability of a production line and the sales degree of the products are evaluated; and the corresponding management suggestions are output according to the influence of the influence factors on the order delivery progress, so that the intelligent management anti-risk capability is high.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial automation management, and in particular to an integrated production supply chain management system based on industrial automation. Background Art

[0002] Industrial automation uses advanced mechanical devices, electrical systems, and computer technology to achieve autonomous control and optimized operation of the production process, replace manual labor with highly precise operations, greatly improve production efficiency, and bring products to market faster. At the same time, it ensures the high consistency and stability of product quality and reduces errors and defects caused by human factors. For example, in the field of automobile manufacturing, automated production lines can accurately complete parts welding, assembly, and other tasks to ensure that every car meets strict quality standards. The production supply chain covers a series of links from raw material procurement, production and processing, warehousing and logistics to sales and distribution. Its core is to transform raw materials into products that meet market demand and deliver them to customers in a timely manner through efficient collaboration and resource integration. A smooth production supply chain can reduce the operating costs of enterprises, such as reducing raw material inventory backlogs by optimizing procurement strategies, and reducing transportation costs by rationally planning logistics and distribution. It can also enhance the flexibility of enterprises to respond to market changes and quickly adjust production plans and supply arrangements when market demand fluctuates. When industrial automation is deeply integrated with the production supply chain and managed comprehensively, the significance is even more significant. This integrated management breaks down the barriers between traditional production and circulation, and enables real-time information sharing and seamless connection. The production data collected by automated equipment can be fed back to the supply chain management department in real time, so that it can accurately grasp information such as production progress and inventory levels, thereby more scientifically arranging raw material procurement and product distribution. For example, in electronic product manufacturing companies, material demand information on automated production lines can be transmitted to the procurement department in real time to ensure timely supply of key components and avoid production interruptions.

[0003] At present, the traditional production supply chain integrated management system is difficult to accurately evaluate the supply stability of different production lines, and the response to changes in market demand is delayed, resulting in slow adjustment of production plans and the output of products that are out of touch with market demand, causing inventory backlogs and waste of funds. In addition, due to the lack of flexible interruption response mechanisms and emergency plans, companies often face the risk of production stagnation when the supply chain is suddenly interrupted, exposing the dual shortcomings of risk resistance and dynamic adjustment capabilities. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a comprehensive production supply chain management system based on industrial automation, which has the advantages of fast multi-dimensional monitoring response speed, strong intelligent management and risk resistance, etc., and solves the problems of slow response to market demand changes and poor dynamic adjustment capabilities of traditional production supply chain comprehensive management systems.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a comprehensive production supply chain management system based on industrial automation, comprising a multi-dimensional acquisition module and an intelligent management module;

[0006] The multi-dimensional acquisition module is composed of a production data unit, a market data unit and a fluctuation data unit. The production data unit is connected to the supply chain management system through a network to collect a production data set, and the production data set includes the management data of all production lines. The market data unit is connected to the supply chain management system through a network to collect a market data set, and the market data set includes the transaction data of all orders. The fluctuation data unit is connected to the big data platform through a network to collect an impact data set, and the impact data set includes the fluctuation information of all influencing factors.

[0007] The intelligent management module consists of a production line evaluation unit, a market evaluation unit, a trend analysis unit and a supply management unit. The production line evaluation unit analyzes the supply stability of each production line based on the production data set and generates a corresponding stability coefficient. The market evaluation unit analyzes the popularity of the product corresponding to each order based on the market data set and generates a corresponding popularity index. The trend analysis unit is provided with a monitoring cycle of fixed duration. , combined with the impact data set, analyze the changing trend of each influencing factor and generate the corresponding monitoring data set , the supply management unit is set with a fixed range of stable thresholds and best-selling threshold , combined with the stability factor , Best-selling index and monitoring data set , evaluate the supply stability of the production line, the sales volume of the products, and the impact of influencing factors on the order delivery progress, and output corresponding management suggestions.

[0008] Preferably, the expression of the production data set is , to Indicates the first to the The management data of the production line includes the planned daily output, number of equipment failures, qualified quantity, number of repairs, quantity of available materials and quantity of required materials. Represents the daily output of a single production line.

[0009] Preferably, the expression of the market data set is , to Indicates the first to the The transaction data of the orders includes the number of transactions, the number of on-time deliveries and the average inventory quantity. Indicates the transaction amount of a single order.

[0010] Preferably, the influencing data set includes raw material prices, freight costs and transportation time.

[0011] Preferably, the stability coefficient The calculation process is as follows:

[0012] According to the production data set, extract the production line management data, and The planned daily output of the production line is marked as , will The number of equipment failures in the production line is marked as , will The qualified number of production lines is marked as , will The number of repairs for the production line is marked as , will The available material quantity for the production line is marked as , will The required material quantity of the production line is marked as , will The daily output of the production line is marked as ;

[0013]

[0014] In the formula, It indicates the ratio of daily output to planned daily output. represents the weight for the daily production ratio, Represents a standard value used to measure the number of equipment failures. Represents the weight of the ratio of the standard value to the number of equipment failures, Represents the weight of the ratio of qualified quantity to daily output, Represents the weight of the ratio of the number of repairs to the number of qualified products. Indicates Timely rate of material supply for production lines, Indicates the weight of the material supply timeliness rate, , , , and are constants, and , Indicates according to , , , and Weight, calculate the Stability factor of production line .

[0015] Preferably, the best-selling index The calculation process is as follows:

[0016] According to the market data set, extract the The transaction data of the order and The number of orders filled is marked as , will The on-time delivery quantity of orders is marked as , will The average inventory quantity of the product corresponding to the order is marked as , will The transaction amount of the order is marked as ;

[0017]

[0018] In the formula, Indicates The average transaction price of orders, Represents the weight of the average transaction price, Indicates The amount of orders delivered on time in product orders, Indicates On-time delivery rate of product orders, represents the weight for on-time delivery rate, Indicates The inventory turnover rate corresponding to each product order, represents the weight for inventory turnover rate, , and are constants, , Indicates according to , and Weight, calculate the Best-selling index of orders .

[0019] Preferably, the monitoring data set The calculation process is as follows:

[0020] According to the impact data set, statistical monitoring cycle The fluctuation information of all influencing factors is included, and the fluctuation information of raw material prices is marked as , to Indicates the first fluctuation to The price of raw materials during the fluctuation, and the fluctuation information of freight cost is marked as , to Indicates the first fluctuation to The freight cost when the time fluctuates is marked as , to Indicates the first fluctuation to The transportation time during the fluctuation;

[0021]

[0022]

[0023]

[0024]

[0025] In the formula, Indicates monitoring cycle The average price of raw materials, Indicates monitoring cycle The average freight cost is Indicates monitoring cycle The average transportation time is Indicates The price of raw materials during the first fluctuation, It means calculating the difference between the raw material price and the average value at each fluctuation. Indicates Freight costs during the first fluctuation, It means calculating the difference between the freight cost and the average value at each fluctuation. Indicates The transportation time during the fluctuation, It means calculating the difference between the transportation time and the average value for each fluctuation in sequence.

[0026] Preferably, the stability coefficient Below the stability threshold It indicates that the supply stability of the production line is poor and it is recommended to optimize the production plan in time.

[0027] Preferably, the best-selling index Below best-selling threshold When , it indicates that the sales volume of the product is low and it is recommended to optimize the marketing plan in time.

[0028] Preferably, the monitoring data set If any value shows an upward trend over time, it means that the corresponding influencing factor has seriously affected the order delivery progress.

[0029] Compared with the prior art, the present invention provides a comprehensive production supply chain management system based on industrial automation, which has the following beneficial effects:

[0030] 1. The present invention connects the supply chain management system and the big data platform through a multi-dimensional acquisition module network to obtain the management data of all production lines, the transaction data of all orders and the fluctuation information of all influencing factors, and classifies them into production data sets, market data sets and influencing data sets. The intelligent management module analyzes the supply stability of each production line based on the production data set and generates the corresponding stability coefficient , accurately identify weak links through weight allocation, and the intelligent management module analyzes the popularity of the corresponding products of each order based on the market data set, and generates the corresponding popularity index , accurately identify consumers' preferred products, realize on-demand production, avoid excessive stockpiling, and the intelligent management module is set with a fixed-length monitoring cycle , combined with the impact data set, analyze the changing trend of each influencing factor and generate the corresponding monitoring data set , quantify the impact of external factors on the supply chain, and multi-dimensional monitoring has a fast response speed.

[0031] 2. The present invention sets a stable threshold with a fixed range through the intelligent management module and best-selling threshold , combined with the stability factor , Best-selling index and monitoring data set , evaluate the supply stability of the production line, the popularity of the product, and the impact of factors on the order delivery progress, the stability coefficient Below the stability threshold When the supply stability of the production line is poor, it is recommended to optimize the production plan in time, such as reducing equipment downtime and adjusting material procurement strategies, so as to improve production capacity stability. Below best-selling threshold When the product is not popular enough, it means that the product is not popular enough. It is recommended to optimize the marketing plan in time, speed up inventory turnover, reduce the risk of unsalable products, and monitor the data group. When any value shows an upward trend over time, it means that the corresponding influencing factor has seriously affected the progress of order delivery, and early warning of logistics risks can be given, and the transportation plan or supplier cooperation model can be adjusted in advance. Intelligent management has strong risk resistance. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] Because traditional production supply chain integrated management systems are difficult to accurately evaluate the supply stability of different production lines, and are slow to respond to changes in market demand, production plans are slow to adjust, and products that are out of touch with market demand are easily produced, causing inventory backlogs and capital waste. In addition, due to the lack of flexible interruption response mechanisms and emergency plans, companies often face the risk of production stagnation when the supply chain is suddenly interrupted, exposing the dual shortcomings of risk resistance and dynamic adjustment capabilities. Therefore, a production supply chain integrated management system based on industrial automation is provided. Please refer to Figure 1 , a comprehensive management system for production supply chain based on industrial automation, including a multi-dimensional acquisition module and an intelligent management module;

[0035] The multi-dimensional acquisition module consists of production data unit, market data unit and fluctuation data unit, which builds a comprehensive data pool and solves the problem of information islands in the traditional supply chain. The production data unit collects the production data set through the network connection supply chain management system. The production data set includes the management data of all production lines. The expression of the production data set is , to Indicates the first to the The management data of the production line includes the planned daily output, number of equipment failures, qualified quantity, number of repairs, quantity of available materials and quantity of required materials. Indicates the daily output of a single production line;

[0036] The market data unit collects the market data set through the network connection supply chain management system. The market data set includes the transaction data of all orders. The expression of the market data set is , to Indicates the first to the The transaction data of the orders includes the number of transactions, the number of on-time deliveries and the average inventory quantity. Indicates the transaction amount of a single order;

[0037] The fluctuation data unit collects the impact data set through the network connection big data platform. The impact data set includes the fluctuation information of all influencing factors, including raw material prices, freight costs and transportation time;

[0038] The intelligent management module consists of a production line evaluation unit, a market evaluation unit, a trend analysis unit, and a supply management unit, which helps enterprises to intuitively grasp the production line efficiency, product market demand, and fluctuation trends of external factors. The production line evaluation unit analyzes the supply stability of each production line based on the production data set and generates a corresponding stability coefficient. , the calculation process is as follows:

[0039] According to the production data set, extract the production line management data, and The planned daily output of the production line is marked as , will The number of equipment failures in the production line is marked as , will The qualified number of production lines is marked as , will The number of repairs for the production line is marked as , will The available material quantity for the production line is marked as , will The required material quantity of the production line is marked as , will The daily output of the production line is marked as ;

[0040]

[0041] In the formula, It indicates the ratio of daily output to planned daily output, reflecting the degree of completion of the production plan. The higher the plan completion rate, the closer the production is to or reaches the expected target. represents the weight for the daily production ratio, It indicates the standard value used to measure the number of equipment failures. The more failures there are, the lower the reliability of the equipment is and the greater the impact on production is. Represents the weight of the ratio of the standard value to the number of equipment failures, Represents the weight of the ratio of qualified quantity to daily output, It represents the weight of the ratio of the number of returned products to the number of qualified products. The higher the return rate, the greater the fluctuation of product quality and the worse the stability of the production process. Indicates The material supply timeliness rate of the production line reflects the supplier's supply capacity and the efficiency of logistics transportation, which is crucial to the smooth implementation of the production plan. Indicates the weight of the material supply timeliness rate, , , , and are constants, and , Indicates according to , , , and Weight, calculate the Stability factor of production line , accurately identify weak links through weight allocation;

[0042] The market evaluation unit analyzes the sales of the corresponding products of each order based on the market data set and generates the corresponding sales index. , the calculation process is as follows:

[0043] According to the market data set, extract the The transaction data of the order and The number of orders filled is marked as , will The on-time delivery quantity of orders is marked as , will The average inventory quantity of the product corresponding to the order is marked as , will The transaction amount of the order is marked as ;

[0044]

[0045] In the formula, Indicates The average transaction price of orders, Represents the weight of the average transaction price, Indicates The amount of orders delivered on time in product orders, Indicates On-time delivery rate of product orders, represents the weight for on-time delivery rate, Indicates The inventory turnover rate corresponding to each product order, It indicates the weight of inventory turnover rate. By accurately calculating inventory turnover rate, enterprises can better understand their own inventory management, optimize inventory levels, improve capital utilization efficiency and operational benefits. , and are constants, , Indicates according to , and Weight, calculate the Best-selling index of orders , accurately identify consumers’ preferred products, realize on-demand production, and avoid excessive stockpiling;

[0046] The trend analysis unit is set with a fixed-length monitoring cycle , combined with the impact data set, analyze the changing trend of each influencing factor and generate the corresponding monitoring data set , the calculation process is as follows:

[0047] According to the impact data set, statistical monitoring cycle The fluctuation information of all influencing factors is included, and the fluctuation information of raw material prices is marked as , to Indicates the first fluctuation to The price of raw materials during the fluctuation, and the fluctuation information of freight cost is marked as , to Indicates the first fluctuation to The freight cost when the time fluctuates is marked as , to Indicates the first fluctuation to The transportation time during the fluctuation;

[0048]

[0049]

[0050]

[0051]

[0052] In the formula, Indicates monitoring cycle The average price of raw materials, Indicates monitoring cycle The average freight cost is Indicates monitoring cycle The average transportation time is Indicates The price of raw materials during the first fluctuation, It means calculating the difference between the raw material price and the average value at each fluctuation. Indicates Freight costs during the first fluctuation, It means calculating the difference between the freight cost and the average value at each fluctuation. Indicates The transportation time during the fluctuation, It means calculating the difference between the transportation time and the average value at each fluctuation in turn, quantifying the impact of external factors on the supply chain, and multi-dimensional monitoring with fast response speed;

[0053] The supply management unit is set with a fixed range of stable thresholds and best-selling threshold , combined with the stability factor , Best-selling index and monitoring data set , evaluate the supply stability of the production line, the popularity of the product, and the impact of factors on the order delivery progress, the stability coefficient Below the stability threshold When the supply stability of the production line is poor, it is recommended to optimize the production plan in time, such as reducing equipment downtime and adjusting material procurement strategies, so as to improve production capacity stability. Below best-selling threshold When the product is not popular enough, it means that the product is not popular enough. It is recommended to optimize the marketing plan in time, speed up inventory turnover, reduce the risk of unsalable products, and monitor the data group. When any value shows an upward trend over time, it means that the corresponding influencing factor has seriously affected the progress of order delivery, and early warning of logistics risks can be given, and the transportation plan or supplier cooperation model can be adjusted in advance. Intelligent management has strong risk resistance.

[0054] Embodiment 1:

[0055] In this experiment, a production line with a planned daily output of 1,000 pieces was selected as the experimental object. According to statistics, the number of equipment failures in this production line is 5 times, the number of qualified pieces is 950, the number of returned pieces is 30, the number of available materials is 980, the number of required materials is 1,000, and the daily output is 970. The stability coefficient of this production line is The calculation process is as follows:

[0056]

[0057]

[0058] In the formula, It indicates the ratio of daily output to planned daily output. represents the weight for the daily production ratio, Represents a standard value used to measure the number of equipment failures. Represents the weight of the ratio of the standard value to the number of equipment failures, Represents the weight of the ratio of qualified quantity to daily output, Represents the weight of the ratio of the number of repairs to the number of qualified products. Indicates Timely rate of material supply for production lines, Indicates the weight of the material supply timeliness rate, , , , and are constants, and ,according to , , , and Weight, calculate the stability coefficient of the production line Approx. , stable threshold Set to 0.8~1.5, after judgment, the stability coefficient of the production line Below the stability threshold , indicating that the supply stability of the production line is poor, and it is recommended to optimize the production plan in time.

[0059] Embodiment 2:

[0060] In this experiment, an order with a transaction amount of 10,000 yuan was selected as the experimental object. According to statistics, the transaction quantity of this order is 200 pieces, the number of on-time delivery is 180 pieces, the average inventory quantity is 400 pieces, and the best-selling index of this order is The calculation process is as follows:

[0061]

[0062]

[0063] In the formula, Indicates The average transaction price of orders, Represents the weight of the average transaction price, Indicates The amount of orders delivered on time in product orders, Indicates On-time delivery rate of product orders, represents the weight for on-time delivery rate, Indicates The inventory turnover rate corresponding to each product order, represents the weight for inventory turnover rate, , and are constants, ,according to , and Weight, calculate the best-selling index of the order for , best-selling threshold Set to 20 to 80, and the best-selling index of the production line is determined. Included in best-selling threshold , indicating that the product is popular and there is no need to optimize the marketing plan.

[0064] 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 comprehensive production supply chain management system based on industrial automation, characterized by: Including multi-dimensional acquisition module and intelligent management module; The multi-dimensional acquisition module is composed of a production data unit, a market data unit and a fluctuation data unit. The production data unit is connected to the supply chain management system through a network to collect a production data set, and the production data set includes the management data of all production lines. The market data unit is connected to the supply chain management system through a network to collect a market data set, and the market data set includes the transaction data of all orders. The fluctuation data unit is connected to the big data platform through a network to collect an impact data set, and the impact data set includes the fluctuation information of all influencing factors. The intelligent management module consists of a production line evaluation unit, a market evaluation unit, a trend analysis unit and a supply management unit. The production line evaluation unit analyzes the supply stability of each production line based on the production data set and generates a corresponding stability coefficient. The market evaluation unit analyzes the popularity of the product corresponding to each order based on the market data set and generates a corresponding popularity index. The trend analysis unit is provided with a monitoring cycle of fixed duration. , combined with the impact data set, analyze the changing trend of each influencing factor and generate the corresponding monitoring data set , the supply management unit is set with a fixed range of stable thresholds and best-selling threshold , combined with the stability factor , Best-selling index and monitoring data set , evaluate the supply stability of the production line, the sales volume of the products, and the impact of influencing factors on the order delivery progress, and output corresponding management suggestions.

2. The integrated production supply chain management system based on industrial automation according to claim 1 is characterized by: The expression of the production data set is , to Indicates the first to the The management data of the production line includes the planned daily output, number of equipment failures, qualified quantity, number of repairs, quantity of available materials and quantity of required materials. Represents the daily output of a single production line.

3. The integrated production supply chain management system based on industrial automation according to claim 2 is characterized by: The expression of the market data set is , to Indicates the first to the The transaction data of the orders includes the number of transactions, the number of on-time deliveries and the average inventory quantity. Indicates the transaction amount of a single order.

4. The integrated production supply chain management system based on industrial automation according to claim 3 is characterized by: The impact data sets include raw material prices, freight costs and transportation time.

5. The integrated production supply chain management system based on industrial automation according to claim 4 is characterized by: The stability factor The calculation process is as follows: According to the production data set, extract the production line management data, and The planned daily output of the production line is marked as , will The number of equipment failures in the production line is marked as , will The qualified number of production lines is marked as , will The number of repairs for the production line is marked as , will The available material quantity for the production line is marked as , will The required material quantity of the production line is marked as , will The daily output of the production line is marked as ; In the formula, It indicates the ratio of daily output to planned daily output. represents the weight for the daily production ratio, Represents a standard value used to measure the number of equipment failures. Represents the weight of the ratio of the standard value to the number of equipment failures, Represents the weight of the ratio of qualified quantity to daily output, Represents the weight of the ratio of the number of repairs to the number of qualified products. Indicates Timely rate of material supply for production lines, Indicates the weight of the material supply timeliness rate, , , , and are constants, and , Indicates according to , , , and Weight, calculate the Stability factor of production line .

6. The integrated production supply chain management system based on industrial automation according to claim 5 is characterized by: The best-selling index The calculation process is as follows: According to the market data set, extract the The transaction data of the order and The number of orders filled is marked as , will The on-time delivery quantity of orders is marked as , will The average inventory quantity of the product corresponding to the order is marked as , will The transaction amount of the order is marked as ; In the formula, Indicates The average transaction price of orders, Represents the weight of the average transaction price, Indicates The amount of orders delivered on time in product orders, Indicates On-time delivery rate of product orders, represents the weight for on-time delivery rate, Indicates The inventory turnover rate corresponding to each product order, represents the weight for inventory turnover rate, , and are constants, , Indicates according to , and Weight, calculate the Best-selling index of orders .

7. The integrated production supply chain management system based on industrial automation according to claim 6 is characterized by: The monitoring data set The calculation process is as follows: According to the impact data set, statistical monitoring cycle The fluctuation information of all influencing factors is included, and the fluctuation information of raw material prices is marked as , to Indicates the first fluctuation to The price of raw materials during the fluctuation, and the fluctuation information of freight cost is marked as , to Indicates the first fluctuation to The freight cost when the time fluctuates is marked as , to Indicates the first fluctuation to The transportation time during the fluctuation; In the formula, Indicates monitoring cycle The average price of raw materials, Indicates monitoring cycle The average freight cost is Indicates monitoring cycle The average transportation time is Indicates The price of raw materials during the first fluctuation, It means calculating the difference between the raw material price and the average value at each fluctuation. Indicates Freight costs during the first fluctuation, It means calculating the difference between the freight cost and the average value at each fluctuation. Indicates The transportation time during the fluctuation, It means calculating the difference between the transportation time and the average value for each fluctuation in sequence.

8. The integrated production supply chain management system based on industrial automation according to claim 7 is characterized by: The stability factor Below the stability threshold It indicates that the supply stability of the production line is poor and it is recommended to optimize the production plan in time.

9. The integrated production supply chain management system based on industrial automation according to claim 8, characterized in that: The best-selling index Below the best-selling threshold When , it indicates that the sales volume of the product is low and it is recommended to optimize the marketing plan in time.

10. The integrated production supply chain management system based on industrial automation according to claim 9, characterized in that: The monitoring data set If any value shows an upward trend over time, it means that the corresponding influencing factor has seriously affected the order delivery progress.

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