Cyclic prediction and replenishment double-channel supply chain system

Abstract

The invention discloses a double-channel supply chain system for cyclicity prediction and replenishment, and relates to the field of supply chain method accessory devices, and the double-channel supply chain system specifically comprises a closed-loop information tracing system. A circular economy index sharing system; a digital collaborative platform system; a third-party mechanism authentication and evaluation system; according to the double-channel supply chain system for cyclical prediction and replenishment, when the double-channel supply chain is systematically used by using cyclical prediction, inventory record errors can be timely found and corrected by periodically and cyclically checking the inventory condition, the phenomenon of excessive inventory or stockout caused by inaccurate data is reduced, and the work efficiency is improved. The accuracy of inventory management is improved; the circulation detection is beneficial to the real-time understanding of the sales dynamic state and the stock state of each channel, and the replenishment decision is made according to the data, so that the stock level can be adjusted more finely, the unnecessary stock overstock is reduced, the storage cost is reduced, the customer demand is ensured to be met, and the stockout loss is avoided.

Description

Technical Field

[0001] The present invention relates to the field of supply chain method attachments, and in particular to a dual-channel supply chain system for cyclical forecasting and replenishment. Background Art

[0002] As people's consumption awareness continues to increase, the requirements for clothing are also constantly increasing, and the clothing industry has ushered in tremendous development. The clothing supply chain refers to the core enterprise (clothing brand), starting from the designer's design draft, through the integration of fabrics and accessories and ready-made clothing, making samples and final bulk goods, and finally delivering the clothing to consumers through the sales network, connecting suppliers (fabric and accessories suppliers), garment factories, brand agents and distributors to the final consumer users into a whole functional network chain structure. In recent years, the development of e-commerce has enabled many clothing manufacturers to open up online sales channels in order to sell products directly to consumers. After opening up online sales channels, it is also necessary to reorganize the online supply chain, making the supply chain of clothing companies become a dual-channel supply chain model that coexists online and offline.

[0003] This model combines the convenience of e-commerce and the experience of physical stores. The online channel refers to the sale of goods and services through the Internet, which allows consumers to browse and purchase goods anytime and anywhere, enjoy a fast transaction process and possible door-to-door delivery services. The offline channel refers to traditional face-to-face sales methods involving physical stores, specialty stores, dealers, etc. Consumers can directly touch and try products in these places, and get instant help and services from sales staff to meet immediate shopping needs or enjoy on-site experience. The existing dual-channel supply chain supply and replenishment methods often use QR strategies. QR strategies are a method used to supply and replenish dual-channel supply chains in daily life.

[0004] In the existing research methods, channel demand is not only affected by the price of the channel itself but also by the cross-price of the two channels. Let D r is the demand of offline channels, D o is the demand of online channel, and the offline price is P r , the online price is P o , 1-θ is the customer's preference for offline channels, θ is the customer's preference for online channels, A is the original total demand; α is the price sensitivity coefficient of demand, β is the cross-price sensitivity coefficient, α>β, the price of different channels has an impact on the demand of different channels, so (1-θ)A is the demand level of offline channels, θA is the demand level of online channels, and the demand functions of the two channels are as follows: D r =(1-θ)A-αP r +βP o ;D o =θA-αPo +βP r .

[0005] When using the QR strategy, retailers set an order point (Q) and order quantity (R). When the inventory level drops to Q, an order is placed to replenish it to the R level. This method requires accurate demand forecasting and the support of an efficient inventory management system. In the use of existing QR strategies, it is found that the online and offline inventory and sales data may not be completely synchronized, resulting in information asymmetry, affecting the accuracy of replenishment decisions, and there may be conflicts of interest between different channels, making coordination difficult, resulting in low working efficiency of the method. Summary of the invention

[0006] The purpose of the present invention is to provide a dual-channel supply chain system for cyclical forecasting and replenishment, which overcomes the shortcomings of the prior art and solves the problems existing in the prior art.

[0007] To solve the above problems, the technical solutions adopted by the present invention are as follows:

[0008] A dual-channel supply chain system for cyclical forecasting and replenishment, the system comprising:

[0009] S1: Closed-loop information traceability system;

[0010] Conduct closed-loop supply chain information tracing, using the Internet of Things, radio frequency identification and barcode technology to establish a full-chain information tracing system from raw material procurement, production, distribution to final recycling, so that all participants can obtain real-time data on product flow;

[0011] The automatic collection, processing and analysis of real-time data requires reducing information transmission delays and distortions, enhancing supply chain transparency, and using blockchain technology to ensure the immutability and transparency of information. The distributed ledger model of the blockchain technology is:

[0012] Blocki=Hash(PreviousBlocki-1)+Datai+NonceBlocki=Hash(PreviousBlocki-1)+Datai+Nonce,

[0013] Among them, Blocki represents the i-th block, Hash is the hash function, Datai is the block data, and Nonce is a random number;

[0014] S2: Circular economy indicator sharing system;

[0015] Implement circular economy indicator sharing and develop a comprehensive set of circular economy evaluation indicators, including resource recovery rate, reuse rate, and waste discharge. Share these data indicators within the supply chain so that enterprises at each node can understand the circular performance of the entire supply chain and coordinate effective resource allocation and recycling strategies;

[0016] S3: Digital collaborative platform system;

[0017] Create a digital collaboration platform, build an integrated digital platform to optimize algorithms and analyze data, so that manufacturers, online retailers, offline retailers and recyclers can exchange information, share forecast data, and coordinate inventory and replenishment plans on the same platform;

[0018] The demand forecasting model algorithm on the digital collaborative platform is:

[0019] X t =c+∑i=1pφ i X t -i+∑j=1qθ j ∈ t -j+∈ t X t =c+∑i=1pφ i X t -i+∑j=1qθ j ∈ t -j+∈ t ,

[0020] Among them, X t is the value of the time series at time point t, φ i and θ j is the model parameter, c is the constant term, and ∈ is the error term;

[0021] S4: Certification and evaluation system by third-party organizations;

[0022] Introduce third-party certification and assessment agencies to provide independent inspection, certification and assessment services to verify the authenticity of recycled materials in the supply chain, the quality of recycled products and the reliability of environmental claims.

[0023] Preferably, the closed-loop information traceability system in S1 includes: clarifying the traceability purpose, determining the traceability scope, analyzing the existing information system and data management capabilities, identifying integration needs, using one-item-one-code technology to assign a unique identification code to each product or package, and designing a traceability code structure.

[0024] Preferably, the traceability code contains necessary information such as batch number, production date, and place of origin. Data collection equipment is deployed at each node of the supply chain. A traceability software platform is developed or selected to ensure that the traceability system is seamlessly connected with existing information systems such as ERP, WMS, and MES to achieve automatic data transmission and optimize the supply chain process. Traceability information can be accurately and timely entered at each link. Personnel at each link of the supply chain are trained on the operation of the traceability system. The system is implemented in stages, with pilot projects first and then promotion. Timely adjustments and optimizations are made, and a regular audit mechanism is established.

[0025] Preferably, the closed-loop information traceability system also includes realizing information system integration of online and offline channels, carrying out real-time data sharing, improving inventory transparency, reducing redundant inventory, adopting advanced forecasting algorithms, such as machine learning models, combining historical sales data, seasonal trends, promotional activities and other factors, predicting demand in each channel, implementing collaborative replenishment strategies, and conducting inventory management.

[0026] Preferably, the control strategy of inventory management includes applying multi-level inventory control theory, combining customer transfer rates and demand fluctuations between channels, dynamically adjusting inventory levels, analyzing customer demand characteristics in different regions and channels, optimizing inventory layout, and reducing logistics costs and delivery time.

[0027] Preferably, the radio frequency identification technology is suitable for scenarios requiring long-range, fast reading and simultaneous tracking of a large number of items.

[0028] Preferably, the barcode technology also includes using Reed-Solomon error correction code in coding schemes such as QR codes to improve the accuracy of data reading.

[0029] Preferably, improving the accuracy of the prediction algorithm also includes integrating sales data from online and offline channels, social media data, consumer behavior data, etc., and using big data analysis technology to identify consumption trends and preference changes.

[0030] Preferably, the prediction algorithm also includes optimizing pricing strategies by using A / B testing, price elasticity analysis, etc., stimulating demand through targeted promotional activities, and avoiding conflicts between channels.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] (1) When using cyclic forecasts to systematically use a dual-channel supply chain, regular cyclical checks on inventory status can be used to promptly detect and correct inventory record errors, reduce excess inventory or out-of-stock situations caused by inaccurate data, and thus improve the accuracy of inventory management;

[0033] (2) Cycle detection helps to understand the sales dynamics and inventory status of each channel in real time. Replenishment decisions based on this data can adjust inventory levels more finely, reduce unnecessary inventory backlogs, reduce storage costs, and ensure that customer needs are met and out-of-stock losses are avoided;

[0034] (3) In a rapidly changing market demand environment, cycle detection can quickly identify demand fluctuations, enabling the supply chain to respond more quickly to market changes, adjust supply plans in a timely manner, shorten replenishment cycles, and improve the flexibility and agility of the supply chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The figure is a schematic diagram of the overall operation process of a dual-channel supply chain system with cyclic forecasting and replenishment. DETAILED DESCRIPTION

[0036] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0037] Please refer to Figure 1 As shown, the present invention is a dual-channel supply chain system for cyclical forecasting and replenishment, the system comprising:

[0038] S1: Closed-loop information traceability system;

[0039] Conduct closed-loop supply chain information tracing, using the Internet of Things, radio frequency identification and barcode technology to establish a full-chain information tracing system from raw material procurement, production, distribution to final recycling, so that all participants can obtain real-time data on product flow;

[0040] RFID technology is suitable for scenarios that require long-range, fast reading and simultaneous tracking of a large number of items. It is suitable for scenarios that require long-range, fast reading and simultaneous tracking of a large number of items.

[0041] Barcode technology also includes the use of Reed-Solomon error correction codes in coding schemes such as QR codes to improve the accuracy of data reading;

[0042] The automatic collection, processing and analysis of real-time data requires reducing information transmission delays and distortions, enhancing supply chain transparency, and using blockchain technology to ensure the immutability and transparency of information. The distributed ledger model of the blockchain technology is:

[0043] Blocki=Hash(PreviousBlocki-1)+Datai+NonceBlocki=Hash(PreviousBlocki-1)+Datai+Nonce,

[0044] Among them, Blocki represents the i-th block, Hash is the hash function, Datai is the block data, and Nonce is a random number;

[0045] S2: Circular economy indicator sharing system;

[0046] Implement circular economy indicator sharing and develop a comprehensive set of circular economy evaluation indicators, including resource recovery rate, reuse rate, and waste discharge. Share these data indicators within the supply chain so that enterprises at each node can understand the circular performance of the entire supply chain and coordinate effective resource allocation and recycling strategies;

[0047] S3: Digital collaborative platform system;

[0048] Create a digital collaboration platform, build an integrated digital platform to optimize algorithms and analyze data, so that manufacturers, online retailers, offline retailers and recyclers can exchange information, share forecast data, and coordinate inventory and replenishment plans on the same platform;

[0049] The demand forecasting model algorithm on the digital collaborative platform is:

[0050] X t =c+∑i=1pφ i X t -i+∑j=1qθ j ∈ t -j+∈ t X t =c+∑i=1pφ i X t -i+∑j=1qθ j ∈ t -j+∈ t ,

[0051] Among them, X t is the value of the time series at time point t, φ i and θ j is the model parameter, c is the constant term, and ∈ is the error term;

[0052] Improving the accuracy of the prediction model algorithm also includes integrating sales data from online and offline channels, social media data, consumer behavior data, etc., and using big data analysis technology to identify consumption trends and preference changes;

[0053] The prediction model algorithm also includes the use of A / B testing, price elasticity analysis and other means to optimize pricing strategies, stimulate demand through targeted promotions, and avoid conflicts between channels;

[0054] S4: Certification and evaluation system by third-party organizations;

[0055] Introduce third-party certification and assessment agencies to provide independent inspection, certification and assessment services to verify the authenticity of recycled materials in the supply chain, the quality of recycled products and the reliability of environmental claims.

[0056] The closed-loop information traceability system in S1 includes: clarifying the purpose of traceability, determining the scope of traceability, analyzing the existing information system and data management capabilities, identifying integration needs, using the one-to-one code technology to assign a unique identification code to each product or package, designing the traceability code structure, the traceability code contains batch number, production date, origin and other necessary information, deploying data collection equipment at each node of the supply chain, developing or selecting a traceability software platform, ensuring that the traceability system is seamlessly connected with existing information systems such as ERP, WMS, MES, etc., realizing automatic data transmission, optimizing the supply chain process, accurately and timely entering traceability information at each link, conducting traceability system operation training for personnel at each link of the supply chain, implementing in stages, piloting first and then promoting, making timely adjustments and optimizations, and establishing a regular audit mechanism.

[0057] The closed-loop information traceability system also includes the integration of information systems of online and offline channels, real-time data sharing, improved inventory transparency, reduction of redundant inventory, the use of advanced forecasting algorithms such as machine learning models, combined with historical sales data, seasonal trends, promotional activities and other factors to predict demand in various channels, implement collaborative replenishment strategies, and conduct inventory management.

[0058] The control strategies for inventory management include applying multi-level inventory control theory, combining customer transfer rates and demand fluctuations between channels, dynamically adjusting inventory levels, analyzing customer demand characteristics in different regions and channels, optimizing inventory layout, and reducing logistics costs and delivery time.

[0059] The present invention is a dual-channel supply chain system for cyclical forecasting and replenishment, which has the following beneficial effects compared with the prior art:

[0060] (1) When using cyclic forecasts to systematically use a dual-channel supply chain, regular cyclical checks on inventory status can be used to promptly detect and correct inventory record errors, reduce excess inventory or out-of-stock situations caused by inaccurate data, and thus improve the accuracy of inventory management;

[0061] (2) Cycle detection helps to understand the sales dynamics and inventory status of each channel in real time. Replenishment decisions based on this data can adjust inventory levels more finely, reduce unnecessary inventory backlogs, reduce storage costs, and ensure that customer needs are met and out-of-stock losses are avoided;

[0062] (3) In a rapidly changing market demand environment, cycle detection can quickly identify demand fluctuations, enabling the supply chain to respond more quickly to market changes, adjust supply plans in a timely manner, shorten replenishment cycles, and improve the flexibility and agility of the supply chain.

[0063] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A dual-channel supply chain system for cyclical forecasting and replenishment, characterized in that: The system comprises: S1: Closed-loop information traceability system; Conduct closed-loop supply chain information tracing, using the Internet of Things, radio frequency identification and barcode technology to establish a full-chain information tracing system from raw material procurement, production, distribution to final recycling, so that all participants can obtain real-time data on product flow; The automatic collection, processing and analysis of real-time data requires reducing information transmission delays and distortions, enhancing supply chain transparency, and using blockchain technology to ensure the immutability and transparency of information. The distributed ledger model of the blockchain technology is: Blocki=Hash(PreviousBlocki-1)+Datai+NonceBlocki=Hash(PreviousBlocki-1)+Datai+Nonce, Among them, Blocki represents the i-th block, Hash is the hash function, Datai is the block data, and Nonce is a random number; S2: Circular economy indicator sharing system; Implement circular economy indicator sharing and develop a comprehensive set of circular economy evaluation indicators, including resource recovery rate, reuse rate, and waste discharge. Share these data indicators within the supply chain so that enterprises at each node can understand the circular performance of the entire supply chain and coordinate effective resource allocation and recycling strategies; S3: Digital collaborative platform system; Create a digital collaboration platform, build an integrated digital platform to optimize algorithms and analyze data, so that manufacturers, online retailers, offline retailers and recyclers can exchange information, share forecast data, and coordinate inventory and replenishment plans on the same platform; The demand forecasting model on the digital collaborative platform is: X t =c+∑i=1pφ i X t -i+∑j=1qθ j ∈ t -j+∈ t X t =c+∑i=1pφ i X t -i+∑j=1qθ j ∈ t -j+∈ t , Among them, X t is the value of the time series at time point t, φ i and θ j is the model parameter, c is the constant term, and ∈ is the error term; S4: Certification and evaluation system by third-party organizations; Introduce third-party certification and assessment agencies to provide independent inspection, certification and assessment services to verify the authenticity of recycled materials in the supply chain, the quality of recycled products and the reliability of environmental claims.

2. A dual-channel supply chain system for cyclical forecasting and replenishment according to claim 1, characterized in that: The closed-loop information traceability system in S1 includes: clarifying the traceability purpose, determining the traceability scope, analyzing the existing information system and data management capabilities, identifying integration needs, using the one-to-one-code technology to assign a unique identification code to each product or package, and designing the traceability code structure.

3. A dual-channel supply chain system for cyclical forecasting and replenishment according to claim 2, characterized in that: The traceability code contains necessary information such as batch number, production date, and place of origin. Data collection equipment is deployed at each node of the supply chain. A traceability software platform is developed or selected to ensure that the traceability system is seamlessly connected with existing information systems such as ERP, WMS, and MES, to achieve automatic data transmission, optimize the supply chain process, and accurately and timely enter traceability information at each link. Personnel at all links of the supply chain are trained on the operation of the traceability system. The system is implemented in stages, with pilot projects first and then promotion. Timely adjustments and optimizations are made, and a regular audit mechanism is established.

4. The dual-channel supply chain system for cyclical forecasting and replenishment according to claim 2, characterized in that: The closed-loop information traceability system also includes realizing information system integration of online and offline channels, conducting real-time data sharing, improving inventory transparency, reducing redundant inventory, adopting advanced forecasting algorithms, such as machine learning models, combining historical sales data, seasonal trends, promotional activities and other factors to predict demand in various channels, implement collaborative replenishment strategies, and conduct inventory management.

5. The dual-channel supply chain system for cyclical forecasting and replenishment according to claim 4, characterized in that: The control strategy of inventory management includes applying multi-level inventory control theory, combining customer transfer rate and demand fluctuation between channels, dynamically adjusting inventory levels, analyzing customer demand characteristics in different regions and channels, optimizing inventory layout, and reducing logistics costs and delivery time.

6. The dual-channel supply chain system for cyclical forecasting and replenishment according to claim 1, characterized in that: The RFID technology is suitable for scenarios requiring long-range, fast reading and simultaneous tracking of a large number of items.

7. The dual-channel supply chain system for cyclical forecasting and replenishment according to claim 1, characterized in that: The barcode technology also includes using Reed-Solomon error correction codes in coding schemes such as QR codes to improve the accuracy of data reading.

8. The dual-channel supply chain system for cyclical forecasting and replenishment according to claim 4, characterized in that: Improving the accuracy of the prediction algorithm also includes integrating sales data from online and offline channels, social media data, consumer behavior data, etc., using big data analysis technology to identify consumption trends and preference changes, and improving the accuracy of demand prediction.

9. A dual-channel supply chain system for cyclical forecasting and replenishment according to claim 8, characterized in that: The prediction algorithm also includes the use of A / B testing, price elasticity analysis and other means to optimize pricing strategies, stimulate demand through targeted promotional activities, and avoid conflicts between channels.

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