Chain retail industry production and marketing MES integration system based on Internet of Things technology

Abstract

The invention discloses a chain retail industry production and marketing MES integration system based on the Internet of Things technology, and belongs to the technical field of the Internet of Things technology, data are collected in all links of a production workshop, a warehouse, a logistics distribution center, a retail store and the like, the data are transmitted through a wired or wireless communication network, the collected data are transmitted to a central database or a cloud platform, and the central database or the cloud platform is connected with the Internet of Things technology. The data analysis and processing module is used for analyzing and processing data transmitted to the central system, potential information and rules in the data are mined by applying a big data analysis technology, a machine learning algorithm and the like, and logistics distribution management arranges logistics distribution of products according to sales orders and inventory conditions through an integrated system. Logistics distribution management is composed of real-time monitoring and intelligent scheduling, inventory management optimization, distribution center layout optimization, information collaboration and sharing, intelligent packaging and loading and unloading and reverse logistics management, and real-time monitoring and intelligent scheduling are composed of comprehensive real-time monitoring and intelligent path planning and scheduling.

Description

Technical Field

[0001] The present invention relates to an integrated production and sales MES system for the chain retail industry based on Internet of Things technology, belonging to the technical field of Internet of Things technology. Background Art

[0002] The full name of the MES system is the Manufacturing Execution System, which is a computerized system used for real-time monitoring, tracking, and controlling the production process. The MES system can integrally manage the production process, resources, and data on the production line to improve production efficiency and quality and reduce production costs.

[0003] For example, the MES system based on the Internet of Things disclosed in the application number: 202011408449.3 includes: a number of first Internet of Things terminals, which are connected to the equipment in the enterprise one by one and are used to collect the parameter information of the equipment, and a server, which is respectively connected to the first Internet of Things terminals and is used to obtain the parameter information through the first Internet of Things terminals, analyze the operation status of the equipment based on the parameter information, and output an alarm when an abnormality occurs. The MES system based on the Internet of Things automatically obtains data based on each Internet of Things terminal to improve the data processing ability.

[0004] In the existing logistics distribution management system, the optimization speed and optimization direction of adjustment, management, layout, early warning, and monitoring in the operation process are not comprehensive enough. Therefore, an integrated production and sales MES system for the chain retail industry based on Internet of Things technology is needed to improve the above deficiencies. Summary of the Invention

[0005] The main purpose of the present invention is to provide an integrated production and sales MES system for the chain retail industry based on Internet of Things technology.

[0006] The object of the present invention can be achieved by adopting the following technical solutions:

[0007] The integrated production and sales MES system for the chain retail industry based on Internet of Things technology includes data collection, data transmission, data analysis and processing, production planning and scheduling, production execution and monitoring, sales and inventory management, logistics distribution management, system integration and collaboration, real-time monitoring and intelligent scheduling, inventory management optimization, distribution center layout optimization, information collaboration and sharing, intelligent packaging and loading and unloading, and reverse logistics management;

[0008] Data collection uses Internet of Things devices, such as sensors, RFID tags, intelligent meters, etc., to collect data in various links such as production workshops, warehouses, logistics distribution centers, and retail stores;

[0009] Data transmission transmits the collected data to the central database or cloud platform through a wired or wireless communication network;

[0010] Data analysis and processing analyzes and processes the data transmitted to the central system, using big data analysis techniques, machine learning algorithms, etc., to mine potential information and patterns in the data;

[0011] Logistics distribution management arranges the logistics distribution of products according to sales orders and inventory conditions through an integrated system;

[0012] Logistics distribution management consists of real-time monitoring and intelligent scheduling, inventory management optimization, distribution center layout optimization, information collaboration and sharing, intelligent packaging and loading / unloading, and reverse logistics management;

[0013] Real-time monitoring and intelligent scheduling consists of comprehensive real-time monitoring and intelligent path planning and scheduling.

[0014] Preferably, production planning and scheduling formulates production plans according to market demand forecasts and inventory levels through the MES integrated system, determining the types, quantities, and production schedules of the products to be produced;

[0015] Production execution and monitoring issues production plans and scheduling instructions to the equipment and personnel at the production site to guide production operations.

[0016] Preferably, sales and inventory management dynamically manages inventory according to real-time sales data and inventory data through the system;

[0017] The logistics distribution management integrated system arranges the logistics distribution of products according to sales orders and inventory conditions;

[0018] System integration and collaboration integrates the systems of various links such as production, sales, inventory, and logistics to achieve information sharing and collaborative work.

[0019] Preferably, inventory management optimization consists of precise inventory management and safety inventory warning;

[0020] Precise inventory management uses Internet of Things technology to achieve precise inventory counting and real-time monitoring of inventory;

[0021] The safety inventory warning sets reasonable safety inventory thresholds for each commodity according to historical sales data and market demand fluctuations.

[0022] Preferably, distribution center layout optimization consists of data analysis and site selection optimization and internal layout optimization of the distribution center;

[0023] Data analysis and site selection optimization re-evaluates and optimizes the location of the distribution center based on sales data, logistics transportation data, customer distribution information, etc. collected by the Internet of Things, using data analysis models;

[0024] The internal layout of the distribution center is optimized by using Internet of Things technology to monitor the flow of goods and the operation of equipment in the distribution center in real time, optimize the layout of goods storage and the configuration of logistics equipment, improve the space utilization rate of the distribution center and the goods handling efficiency, and reduce the residence time of goods in the distribution center.

[0025] Preferably, information collaboration and sharing consists of the integration of information upstream and downstream in the supply chain and the optimization of information communication among internal departments;

[0026] The integration of information upstream and downstream in the supply chain strengthens information collaboration and sharing with upstream and downstream enterprises in the supply chain such as suppliers, manufacturers, and retailers;

[0027] The optimization of information communication among internal departments breaks down the information barriers among various departments within the enterprise, and realizes real-time information sharing and collaborative work among departments such as sales, production, and logistics through the MES integration system.

[0028] Preferably, intelligent packaging and loading / unloading consists of the application of intelligent packaging technology and the application of automated loading / unloading equipment;

[0029] The application of intelligent packaging technology uses intelligent packaging materials and equipment, such as packaging with sensors, which can monitor the status of goods and environmental information in real time;

[0030] The application of automated loading / unloading equipment is equipped with automated loading / unloading equipment such as robots and automatic forklifts in the distribution center and transport vehicles.

[0031] Preferably, reverse logistics management consists of the optimization of reverse logistics processes and data-driven reverse logistics decision-making;

[0032] The optimization of reverse logistics processes establishes a perfect reverse logistics system, and uses Internet of Things technology to track and manage reverse logistics activities such as returns, exchanges, and recycling in real time;

[0033] Data-driven reverse logistics decision-making analyzes the data generated in the reverse logistics process, understands information such as reasons for returns and product quality problems, and provides a basis for product design, production process improvement, and sales strategy adjustment.

[0034] The beneficial technical effects of the present invention:

[0035] The MES integration system for production and sales in the chain retail industry based on Internet of Things technology provided by the present invention improves logistics distribution management in this application through real-time monitoring and intelligent scheduling, inventory management optimization, distribution center layout optimization, information collaboration and sharing, intelligent packaging and loading / unloading, and reverse logistics management;

[0036] Real-time monitoring and intelligent scheduling

[0037] Comprehensive real-time monitoring: By using Internet of Things devices such as GPS locators and vehicle sensors, conduct all-round real-time monitoring of transportation vehicles and goods. It can not only obtain the vehicle's location but also monitor the status of goods, such as temperature, humidity, vibration, etc., to ensure the safety and quality of goods during transportation.

[0038] Intelligent route planning and scheduling: Combine real-time traffic information, road conditions data, and the urgency of store demands. Optimize the delivery route through intelligent algorithms. At the same time, dynamically adjust the delivery tasks according to the vehicle's real-time location and load conditions to achieve efficient vehicle scheduling, improve delivery efficiency, and reduce transportation time and costs.

[0039] Inventory management optimization

[0040] Precise inventory management: Rely on Internet of Things technology to achieve precise inventory counting and real-time monitoring. Through technologies such as RFID tags, automatically identify the types and quantities of goods, reduce the errors and time costs of manual inventory counting. At the same time, be connected in real-time with sales data and production plans to achieve dynamic adjustment of inventory, avoiding out-of-stock or overstocking.

[0041] Safety stock warning: Set reasonable safety stock thresholds for each commodity based on historical sales data and market demand fluctuations. When the inventory level approaches the lower limit of the safety stock, the system automatically issues a warning to remind relevant personnel to replenish goods in a timely manner, ensuring the continuity of logistics distribution and avoiding out-of-stock phenomena caused by insufficient inventory.

[0042] Distribution center layout optimization

[0043] Data analysis and site selection optimization: Based on sales data, logistics transportation data, and customer distribution information collected by the Internet of Things, use data analysis models to re-evaluate and optimize the location of the distribution center. Consider factors such as traffic convenience, radiation range, and operating costs to improve delivery efficiency and reduce transportation costs.

[0044] Internal layout optimization of the distribution center: Use Internet of Things technology to monitor the flow of goods and the operation of equipment in the distribution center in real-time, optimize the layout of goods storage and the configuration of logistics equipment, improve the space utilization rate and goods handling efficiency of the distribution center, and reduce the residence time of goods in the distribution center.

[0045] Information collaboration and sharing

[0046] Information integration among upstream and downstream of the supply chain: Strengthen information collaboration and sharing with upstream and downstream enterprises in the supply chain, such as suppliers, producers, and retailers. Through Internet of Things technology, achieve seamless docking of systems among enterprises, and share information such as production progress, inventory levels, and transportation plans in real-time, improve the transparency and collaboration of the supply chain, and jointly optimize the logistics distribution process.

[0047] Internal Department Information Communication Optimization: Break down the information barriers between different departments within the enterprise. Through the MES integration system, achieve real-time information sharing and collaborative work among departments such as sales, production, and logistics. For example, the sales department promptly transmits customer order information to the logistics department, and the logistics department arranges the distribution plan in advance based on the production progress and inventory situation, improving the overall operational efficiency.

[0048] Intelligent Packaging and Loading / Unloading

[0049] Application of Intelligent Packaging Technology: Adopt intelligent packaging materials and equipment, such as packaging with sensors, which can monitor the status of goods and environmental information in real time. At the same time, according to the characteristics of the goods and transportation requirements, achieve the automation and intelligence of packaging, improve packaging efficiency and quality, and reduce packaging costs and losses.

[0050] Application of Automated Loading / Unloading Equipment: Equip distribution centers and transport vehicles with automated loading / unloading equipment, such as robots and automatic forklifts. Through Internet of Things technology, achieve collaborative operation between equipment, improve loading / unloading efficiency, reduce manual labor intensity and error rate, and accelerate the turnover speed of goods.

[0051] Reverse Logistics Management

[0052] Optimization of Reverse Logistics Process: Establish a perfect reverse logistics system, use Internet of Things technology to track and manage reverse logistics activities such as returns, exchanges, and recycling in real time, and optimize the reverse logistics process, including links such as return receipt, inspection, classification, repair, resale, or scrapping, to improve the efficiency and effectiveness of reverse logistics.

[0053] Data-Driven Reverse Logistics Decision-Making: By analyzing the data generated in the reverse logistics process, understand information such as reasons for returns and product quality problems, provide a basis for product design, production process improvement, and sales strategy adjustment. At the same time, based on the scale and cost of reverse logistics, reasonably plan the reverse logistics network to improve resource utilization rate and the economic benefits of the enterprise. Description of the Drawings

[0054] Figure 1 It is a schematic diagram of the system distribution improvement of a preferred embodiment of the chain retail industry production and sales MES integration system based on Internet of Things technology according to the present invention. Detailed Embodiment

[0055] To make the technical solutions of the present invention clearer and more definite for those skilled in the art, the present invention will be further described in detail below in conjunction with embodiments and drawings, but the embodiments of the present invention are not limited thereto.

[0056] The present invention is as Figure 1As shown in the figure, data is collected through Internet of Things devices such as sensors, RFID tags, and smart meters at various links such as production workshops, warehouses, logistics distribution centers, and retail stores. These data include information on raw materials, the operating status of production equipment, the production progress of products, inventory levels, logistics transportation information, and real-time sales data at the point of sale. Through wired or wireless communication networks, the collected data is transmitted to a central database or cloud platform. Common communication technologies include Ethernet, Wi-Fi, ZigBee, 4G / 5G, etc., to ensure that the data can be accurately and timely transmitted for subsequent analysis and processing;

[0057] Data transmission is to analyze and process the data transmitted to the central system. By using big data analysis techniques, machine learning algorithms, etc., potential information and patterns in the data are mined. For example, market demand is predicted by analyzing sales data, the health status of equipment is judged based on the operating data of production equipment, equipment failures are predicted, and inventory management strategies are optimized through inventory data;

[0058] Production planning and scheduling is to formulate a production plan according to market demand forecasts and inventory levels by the MES integrated system, determine the types, quantities, and production progress of products to be produced. At the same time, considering the actual operating conditions of production equipment and personnel allocation, the production tasks are reasonably scheduled to ensure the efficient and stable operation of the production process. For example, when a potential fault is found in a certain production equipment, the system will automatically adjust the production plan and allocate the relevant production tasks to other equipment to avoid affecting the overall production progress;

[0059] Production execution and monitoring is to issue production plans and scheduling instructions to the equipment and personnel at the production site to guide production operations. At the same time, the production process is monitored in real time through Internet of Things devices to obtain real-time operating data of production equipment, product quality data, etc., and anomalies in the production process such as quality defects and equipment failures are promptly detected and alarms are issued in a timely manner so that relevant personnel can take measures to handle them;

[0060] Sales and inventory management is to dynamically manage the inventory by the system according to real-time sales data and inventory data. When the inventory level is lower than the set threshold, the system automatically triggers the replenishment process to notify the purchasing department to purchase raw materials or the production department to produce products. At the same time, by analyzing sales data and market trends, the sales strategy of products is optimized, such as adjusting product prices, carrying out promotional activities, etc., to increase the sales volume and sales amount of products;

[0061] The integrated logistics and distribution management system arranges the logistics and distribution of products according to sales orders and inventory status. Through the Internet of Things technology, the location of logistics transport vehicles and the transportation status of goods are tracked in real time to ensure that the goods can be delivered to retail stores or customers on time and accurately. At the same time, the logistics and distribution routes are optimized to reduce logistics costs.

[0062] System integration and collaboration integrates systems in various links such as production, sales, inventory, and logistics to achieve information sharing and collaborative work, so that each department can understand the work status of other departments in real time, make adjustments and decisions in time, and improve the operational efficiency and competitiveness of the entire chain retail industry. For example, the sales department can adjust sales strategies in time according to production progress and inventory status; the production department can flexibly adjust production plans according to sales orders and market demand;

[0063] Logistics and distribution management is improved by real-time monitoring and intelligent scheduling, inventory management optimization, distribution center layout optimization, information collaboration and sharing, intelligent packaging and loading and unloading, and reverse logistics management;

[0064] Real-time monitoring and intelligent scheduling

[0065] Comprehensive real-time monitoring: Use IoT devices such as GPS locators and vehicle-mounted sensors to conduct all-round real-time monitoring of transport vehicles and goods. Not only can the vehicle location be obtained, but also the status of the goods, such as temperature, humidity, vibration, etc., to ensure the safety and quality of the goods during transportation.

[0066] Intelligent route planning and scheduling: Combined with real-time traffic information, road condition data and the urgency of store needs, intelligent algorithms are used to optimize delivery routes. At the same time, delivery tasks are dynamically adjusted according to the real-time location and load conditions of the vehicles to achieve efficient vehicle scheduling, improve delivery efficiency, and reduce transportation time and costs.

[0067] Inventory management optimization

[0068] Accurate inventory management: With the help of IoT technology, accurate inventory counting and real-time monitoring of inventory can be achieved. Through technologies such as RFID tags, the types and quantities of goods can be automatically identified, reducing the errors and time costs of manual inventory counting. At the same time, real-time connection with sales data and production plans can be achieved to achieve dynamic adjustment of inventory and avoid out-of-stock or backlogs.

[0069] Safety stock warning: Based on historical sales data and market demand fluctuations, a reasonable safety stock threshold is set for each commodity. When the inventory level approaches the lower limit of the safety stock, the system automatically issues a warning to remind relevant personnel to replenish stocks in time to ensure the continuity of logistics distribution and avoid out-of-stock situations due to insufficient inventory.

[0070] Distribution center layout optimization

[0071] Data Analysis and Location Optimization: Based on sales data, logistics transportation data, customer distribution information, etc. collected by the Internet of Things, use data analysis models to re-evaluate and optimize the location of the distribution center. Considerations include traffic convenience, radiation range, operating costs, etc. to improve distribution efficiency and reduce transportation costs.

[0072] Internal Layout Optimization of Distribution Center: Use Internet of Things technology to monitor the flow of goods and the operation of equipment in the distribution center in real time, optimize the layout of goods storage and the configuration of logistics equipment, improve the space utilization rate and goods handling efficiency of the distribution center, and reduce the residence time of goods in the distribution center.

[0073] Information Collaboration and Sharing

[0074] Information Integration among Upstream and Downstream of the Supply Chain: Strengthen information collaboration and sharing with upstream and downstream enterprises in the supply chain such as suppliers, manufacturers, and retailers. Through Internet of Things technology, achieve seamless docking of systems among enterprises, and share information such as production progress, inventory levels, and transportation plans in real time, improve the transparency and collaboration of the supply chain, and jointly optimize the logistics distribution process.

[0075] Optimization of Information Communication among Internal Departments: Break down the information barriers among different departments within the enterprise. Through the MES integration system, achieve real-time information sharing and collaborative work among departments such as sales, production, and logistics. For example, the sales department timely transmits customer order information to the logistics department, and the logistics department arranges the distribution plan in advance according to the production progress and inventory situation to improve the overall operation efficiency.

[0076] Intelligent Packaging and Loading / Unloading

[0077] Application of Intelligent Packaging Technology: Adopt intelligent packaging materials and equipment, such as packaging with sensors, which can monitor the status of goods and environmental information in real time. At the same time, according to the characteristics of goods and transportation requirements, achieve automation and intelligence of packaging, improve packaging efficiency and quality, and reduce packaging costs and losses.

[0078] Application of Automated Loading / Unloading Equipment: Equip the distribution center and transport vehicles with automated loading / unloading equipment, such as robots and automatic forklifts. Through Internet of Things technology, achieve collaborative operation among equipment, improve loading / unloading efficiency, reduce manual labor intensity and error rate, and accelerate the turnover speed of goods.

[0079] Reverse Logistics Management

[0080] Optimization of Reverse Logistics Process: Establish a perfect reverse logistics system, use Internet of Things technology to track and manage reverse logistics activities such as returns, exchanges, and recycling in real time, and optimize the reverse logistics process, including links such as return receipt, inspection, classification, repair, resale, or scrapping, to improve the efficiency and effectiveness of reverse logistics.

[0081] Data-driven reverse logistics decision-making: By analyzing the data generated in the reverse logistics process, understand information such as reasons for returns and product quality issues, provide a basis for product design, production process improvement, and sales strategy adjustment. At the same time, according to the scale and cost of reverse logistics, reasonably plan the reverse logistics network to improve resource utilization and the economic benefits of the enterprise.

[0082] As described above, it is only a further embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the scope disclosed by the present invention, according to the technical solution and concept of the present invention, makes equivalent substitutions or changes, all belong to the protection scope of the present invention.

Claims

1. An integrated production and sales MES system for the chain retail industry based on Internet of Things technology, characterized in that: It consists of data collection, data transmission, data analysis and processing, production planning and scheduling, production execution and monitoring, sales and inventory management, logistics distribution management, system integration and collaboration, real-time monitoring and intelligent scheduling, inventory management optimization, distribution center layout optimization, information collaboration and sharing, intelligent packaging and handling, and reverse logistics management; Data collection uses Internet of Things devices such as sensors, RFID tags, and intelligent meters to collect data at various links such as production workshops, warehouses, logistics distribution centers, and retail stores; Data transmission transfers the collected data to a central database or cloud platform through wired or wireless communication networks; Data analysis and processing analyze and process the data transmitted to the central system, and use big data analysis technologies, machine learning algorithms, etc. to mine potential information and rules in the data; Logistics distribution management arranges the logistics distribution of products according to sales orders and inventory conditions through an integrated system; Logistics distribution management consists of real-time monitoring and intelligent scheduling, inventory management optimization, distribution center layout optimization, information collaboration and sharing, intelligent packaging and handling, and reverse logistics management; Real-time monitoring and intelligent scheduling consists of comprehensive real-time monitoring and intelligent path planning and scheduling.

2. The integrated production and sales MES system for the chain retail industry based on the Internet of Things technology according to claim 1, wherein: Production planning and scheduling, based on market demand forecasts and inventory levels, the MES integrated system formulates production plans to determine the types, quantities, and production schedules of products to be produced; Production execution and monitoring issues production plans and scheduling instructions to the equipment and personnel at the production site to guide production operations.

3. The integrated production and sales MES system for the chain retail industry based on the Internet of Things technology according to claim 1, characterized in that: Sales and inventory management dynamically manages inventory based on real-time sales data and inventory data; The logistics distribution management integrated system arranges the logistics distribution of products according to sales orders and inventory conditions; System integration and collaboration integrates the systems of various links such as production, sales, inventory, and logistics to achieve information sharing and collaborative work.

4. The integrated production and sales MES system for the chain retail industry based on the Internet of Things technology according to claim 1, characterized in that: Inventory management optimization consists of precise inventory management and safety inventory warning; Precise inventory management uses Internet of Things technology to achieve precise inventory counting and real-time monitoring of inventory; The safety inventory warning component sets reasonable safety inventory thresholds for each commodity based on historical sales data and market demand fluctuations.

5. The integrated production and sales MES system for the chain retail industry based on the Internet of Things technology according to claim 1, characterized in that: Distribution center layout optimization consists of data analysis and site selection optimization and internal layout optimization of the distribution center; Data analysis and site selection optimization re-evaluates and optimizes the location of the distribution center based on sales data, logistics transportation data, and customer distribution information collected by the Internet of Things, using data analysis models; Internal layout optimization of the distribution center uses Internet of Things technology to monitor the flow of goods and the operation of equipment in the distribution center in real time, optimize the storage layout of goods and the configuration of logistics equipment, improve the space utilization rate and goods handling efficiency of the distribution center, and reduce the residence time of goods in the distribution center.

6. The integrated production and sales MES system for the chain retail industry based on the Internet of Things technology according to claim 1, characterized in that: Information collaboration and sharing consists of information integration between upstream and downstream of the supply chain and optimization of information communication between internal departments; Information integration between upstream and downstream of the supply chain strengthens information collaboration and sharing with upstream and downstream enterprises in the supply chain such as suppliers, manufacturers, and retailers; The optimization of internal departmental information communication breaks down the information barriers among different departments within the enterprise, and realizes the real-time sharing and collaborative work of information among departments such as sales, production, and logistics through the MES integration system.

7. The integrated production and sales MES system for the chain retail industry based on the Internet of Things technology according to claim 1, characterized in that: Intelligent packaging and loading / unloading consists of the application of intelligent packaging technology and automated loading / unloading equipment; The application of intelligent packaging technology uses intelligent packaging materials and equipment, such as packaging with sensors, which can monitor the status of goods and environmental information in real time; The application of automated loading / unloading equipment is equipped with automated loading / unloading equipment on distribution centers and transport vehicles, such as robots and automatic forklifts.

8. The integrated production and sales MES system for the chain retail industry based on Internet of Things technology according to claim 1, characterized in that: Reverse logistics management consists of the optimization of reverse logistics processes and data-driven reverse logistics decision-making; The optimization of reverse logistics processes establishes a sound reverse logistics system, and uses Internet of Things technology to track and manage reverse logistics activities such as returns, exchanges, and recycling in real time; Data-driven reverse logistics decision-making analyzes the data generated in the reverse logistics process to understand information such as reasons for returns and product quality problems, and provides a basis for product design, production process improvement, and sales strategy adjustment.

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