Supply production management system and method of silicon-carbon negative electrode material for battery

Abstract

The invention relates to the technical field of supply production management, in particular to a supply production management system and method for a silicon-carbon negative electrode material for a battery, and the method comprises the steps: constructing a performance incidence matrix based on the performance of raw materials and the performance of a silicon-carbon negative electrode material finished product, calculating a supplier capability index, making a purchase plan, and carrying out the stock grading management of the raw materials. Constructing a graded safe inventory model; adjusting a production sequence according to the order priority index, implementing finished product inventory level-to-level management, and setting a target inventory turnover rate; performing performance detection on the raw materials in the production process, calculating the comprehensive quality score of the raw materials, and adjusting the grading safety inventory model; calculating a finished product comprehensive performance score of the finished product batch, and carrying out abnormity identification and warehousing; and calculating the comprehensive association strength between the finished product batches to construct a traceability chain, calculating the contribution degree of the raw material performance to the performance deviation of the abnormal finished product batches, and optimizing the supply production management process. And a more scientific and effective supply production management system is established.

Description

Technical Field

[0001] The present invention relates to the technical field of supply production management, and particularly to a supply production management system and method for silicon-carbon anode materials for batteries. Background Art

[0002] As one of the key materials for lithium-ion batteries, the theoretical specific capacity of silicon-carbon anode materials far exceeds that of traditional graphite anode materials, and it plays an important role in high-energy density application scenarios such as power batteries for electric vehicles and large-scale energy storage systems. However, the production process of silicon-carbon anode materials involves multiple raw materials, and there is a complex correlation between the performance parameters of each raw material and the performance of the final product, which poses high requirements for supply production management.

[0003] Currently, the supply production management of silicon-carbon anode materials mainly has the following problems: First, the traditional supplier management method mainly evaluates based on basic indicators such as price and delivery time, lacking a systematic analysis of the correlation between the performance of raw materials and the performance of finished products, and it is difficult to guarantee the stability of product quality from the source; Second, the existing inventory management strategies generally adopt a unified inventory standard and fail to implement differential management, easily resulting in insufficient inventory of high-performance materials or overstocking of low-performance materials; Then, in terms of quality traceability, the existing methods mainly rely on chronological association analysis of production batches, and the comprehensiveness is insufficient.

[0004] Although some enterprises have introduced enterprise resource planning systems for informatization management, these systems mainly focus on the standardization of business processes and the timely transmission of information, and cannot achieve intelligent decision-making based on data. Especially when facing problems such as the quality of raw materials and products and demand fluctuations, there is a lack of a scientific decision-making support mechanism. Therefore, there is an urgent need to establish an intelligent management system that can organically combine the performance of raw materials, the performance of finished products, and production management.

[0005] Therefore, a supply production management system and method for silicon-carbon anode materials for batteries are proposed. Summary of the Invention

[0006] The object of the present invention is to provide a supply production management system and method for a silicon-carbon anode material for batteries. By constructing a performance correlation matrix based on the performance of raw materials and the performance of the finished silicon-carbon anode material, calculating the supplier ability index and formulating a procurement plan, implementing hierarchical management of raw material inventory, constructing a hierarchical safety inventory model; adjusting the production order according to the order priority index, implementing hierarchical management of finished product inventory, and setting the target inventory turnover rate; detecting the performance of raw materials during the production process, calculating the comprehensive quality score of raw materials and adjusting the hierarchical safety inventory model; calculating the comprehensive performance score of the finished product batches, performing anomaly identification and warehousing; calculating the comprehensive correlation strength between finished product batches to construct a traceability chain, calculating the contribution degree of the raw material performance to the performance deviation of the abnormal finished product batches, optimizing the supply production management process, and establishing a more scientific and effective supply production management system

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A supply production management system for a silicon-carbon anode material for batteries, comprising:

[0009] A raw material management module, comprising: a supplier management unit, which calculates the supplier ability index based on the performance correlation matrix of the raw material performance and the finished product performance of the silicon-carbon anode material, and formulates a procurement plan; a raw material inventory management unit, which implements hierarchical management of raw material inventory based on the raw material performance and constructs a hierarchical safety inventory model;

[0010] A production management module, comprising: an order management unit, which calculates the order priority index and adjusts the production order; a finished product inventory management unit, which implements hierarchical management of finished product inventory based on the finished product performance of the silicon-carbon anode material and sets the target inventory turnover rate;

[0011] A quality management module, comprising: an incoming inspection unit, which detects the performance of raw materials during the production process, calculates the comprehensive quality score of raw materials, and adjusts the hierarchical safety inventory model; a finished product inspection unit, which calculates the comprehensive performance score of the finished product batches, performs anomaly identification and warehousing;

[0012] A traceability management module, comprising: a batch association unit, which calculates the comprehensive correlation strength between finished product batches and constructs a traceability chain; a performance traceability unit, which calculates the contribution degree of the raw material performance to the performance deviation of the abnormal finished product batches and optimizes the supply production management process.

[0013] Further, the supplier management unit specifically includes:

[0014] Based on historical production data, establish the performance correlation matrix of the raw material performance and the finished product performance of the silicon-carbon anode material;

[0015] The supplier ability index includes a supply performance index and a supply capacity index. The performance influence weight of the raw material performance on the finished product performance of the silicon-carbon anode material is calculated based on the performance correlation matrix. The supply performance index of the supplier is calculated according to the performance influence weight, and the supply capacity index is calculated based on the historical supply data of the supplier.

[0016] The procurement allocation ratio is calculated according to the supplier ability index, and a procurement plan is formulated according to the procurement allocation ratio.

[0017] Further, the raw material inventory management unit specifically includes:

[0018] The comprehensive performance score of the raw material for warehousing is calculated according to the raw material performance and the performance influence weight, and the hierarchical inventory safety coefficient is set according to the comprehensive performance score of the raw material for warehousing.

[0019] The hierarchical safety inventory is calculated according to the hierarchical inventory safety coefficient:

[0020]

[0021] Among them, Q k is the hierarchical safety inventory of raw material k, Z k is the hierarchical inventory safety coefficient, σ day is the standard deviation of the daily demand of raw material k, and L is the replenishment lead time.

[0022] Further, the order management unit specifically includes: calculating the order satisfaction according to the production capacity matching degree, the raw material guarantee degree and the delivery feasibility; for the orders with the order satisfaction greater than the satisfaction threshold, calculating the order priority index according to the order value degree, the order delivery degree and the historical order fulfillment rate; sorting the orders from large to small according to the order priority index.

[0023] Further, the finished product inventory management unit specifically includes: calculating the comprehensive performance score of the finished product according to the finished product performance of the silicon-carbon anode material and the finished product performance weight; setting the target inventory turnover rate according to the comprehensive performance score of the finished product; dynamically adjusting the production plan according to the deviation between the actual inventory turnover rate and the target inventory turnover rate.

[0024] Further, the incoming inspection unit specifically includes: detecting the performance of the raw materials in the production process, calculating the quality ability index of each raw material performance, calculating the comprehensive quality score of the raw materials based on the quality ability index and the performance influence weight, and adjusting the hierarchical inventory safety coefficient of the raw materials based on the comprehensive quality score of the raw materials.

[0025] Further, the finished product inspection unit specifically includes: calculating the comprehensive performance score of each finished product batch; identifying the abnormal finished product batches based on the comprehensive performance score of the finished products and conducting traceability, and warehousing the finished product batches without abnormalities.

[0026] Further, the batch association unit specifically includes: calculating the time association degree and performance association degree between every two finished product batches of the silicon-carbon anode material, calculating the comprehensive association strength according to the time association degree and the performance association degree, and establishing a forward traceability set and a backward traceability set for each finished product batch according to the comprehensive association strength to obtain the traceability chain.

[0027] Further, the performance traceability unit specifically includes: when the abnormal finished product batch is identified, calculating the performance deviation of the abnormal finished product batch; calculating the contribution degree of each raw material to the performance deviation based on the performance association matrix; according to the contribution degree of each raw material, calculating the abnormal association degree for all the finished product batches in the traceability chain of the abnormal finished product batch, and inspecting the corresponding finished product batches based on the abnormal association degree threshold.

[0028] A supply production management method for a silicon-carbon anode material for batteries includes the following steps:

[0029] Step S10. Based on the performance association matrix between the raw material performance and the finished product performance of the silicon-carbon anode material, calculate the supplier ability index and formulate a procurement plan; implement hierarchical management of raw material inventory based on the raw material performance and construct a hierarchical safety inventory model;

[0030] Step S20. Calculate the order priority index and adjust the production order; implement hierarchical management of finished product inventory based on the finished product performance of the silicon-carbon anode material and set the target inventory turnover rate;

[0031] Step S30. Conduct performance detection on the raw materials during the production process, calculate the comprehensive quality score of the raw materials, and adjust the hierarchical safety inventory model; calculate the comprehensive performance score of the finished product batches, conduct abnormality identification and warehousing;

[0032] Step S40. Calculate the comprehensive association strength between the finished product batches, construct the traceability chain; calculate the contribution degree of the raw material performance to the performance deviation of the abnormal finished product batch, and optimize the supply production management process.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] 1. An association matrix between the raw material properties and the finished product properties is established to quantitatively analyze the influence degree of the raw material properties on the finished product properties. Based on this, the supply performance index is calculated, which reflects the influence of the supplier's raw material properties on the quality of the final product; the supply capacity index is calculated to evaluate the supplier's stable supply capacity. Through the comprehensive evaluation of these two indexes, a scientific procurement allocation model is established, which can reasonably allocate the procurement share according to the comprehensive strength of the supplier. Quantifying the association relationship between the raw material properties and the finished product properties and applying it to the supplier management decision-making provides data support for supplier selection and procurement allocation, and helps to ensure the stability of product quality from the source.

[0035] 2. A performance-based hierarchical inventory management system is constructed, which combines the performance performance of raw materials and finished products with inventory management strategies. For raw materials, different hierarchical inventory safety factors are set according to their comprehensive performance scores, and a hierarchical safety inventory model is established; for finished products, differentiated target inventory turnover rates are set based on their comprehensive performance scores, and then by monitoring the deviation between the actual inventory turnover rate and the target value, the production plan is dynamically adjusted to achieve the linkage management of inventory and production. Introducing product performance indicators into inventory management decision-making realizes quality-oriented refined inventory management, making inventory management more targeted and effectively improving inventory management efficiency and resource utilization rate.

[0036] 3. By calculating the time correlation degree and performance correlation degree between different batches of products, a traceability chain based on the comprehensive correlation strength is constructed. When an abnormal batch is found, the system can calculate the contribution degree of various raw materials to the performance deviation based on the performance association matrix, and through the calculation of the abnormal correlation degree, achieve the accurate traceability of relevant batches. Incorporating the product performance performance into the traceability analysis makes the traceability results more explanatory and guiding. Significantly improves the positioning efficiency and accuracy of quality problems, provides strong data support for quality improvement, and helps to continuously improve the stability of product quality. Brief Description of the Drawings

[0037] Figure 1 It is a schematic structural diagram of a supply and production management system for a silicon-carbon anode material for batteries according to the present invention;

[0038] Figure 2 It is a schematic flow diagram of a supply and production management method for a silicon-carbon anode material for batteries according to the present invention;

[0039] Figure 3 It is a specific flow diagram of step S10 of the method according to the present invention. Detailed Embodiment

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0041] Please refer to Figures 1 to 3 , the present invention provides a supply production management system and method for a silicon-carbon anode material for batteries, and the technical solutions are as follows:

[0042] Embodiment 1:

[0043] This embodiment provides a supply production management system for a silicon-carbon anode material for batteries. As Figure 1 shown, it includes:

[0044] The raw material management module includes: a supplier management unit that calculates the supplier ability index based on the performance correlation matrix between the raw material performance and the finished product performance of the silicon-carbon anode material, and formulates a procurement plan; a raw material inventory management unit that implements hierarchical management of raw material inventory based on raw material performance and constructs a hierarchical safety inventory model;

[0045] The production management module includes: an order management unit that calculates the order priority index and adjusts the production order; a finished product inventory management unit that implements hierarchical management of finished product inventory based on the finished product performance of the silicon-carbon anode material and sets the target inventory turnover rate;

[0046] The quality management module includes: an incoming inspection unit that performs performance detection on the raw materials in the production process, calculates the comprehensive quality score of the raw materials, and adjusts the hierarchical safety inventory model; a finished product inspection unit that calculates the comprehensive performance score of the finished product batches, performs anomaly identification and warehousing;

[0047] The traceability management module includes: a batch association unit that calculates the comprehensive association strength between finished product batches and constructs a traceability chain; a performance traceability unit that calculates the contribution degree of the raw material performance to the performance deviation of the abnormal finished product batches and optimizes the supply production management process.

[0048] Further, the supplier management unit specifically includes:

[0049] Based on historical production data, establish the performance correlation matrix between the raw material performance and the finished product performance of the silicon-carbon anode material:

[0050]

[0051] where R ij is the i-th raw material performance X i and the j-th finished product performance Y of the silicon-carbon anode materialj The performance correlation degree, where cov() is the covariance formula, and are the standard deviations of X i and Y j respectively, and SN ij is the signal-to-noise ratio;

[0052] The supplier ability index includes a supply performance index and a supply capacity index. Based on the performance correlation matrix, calculate the performance impact weight of the raw material performance on the finished product performance of the silicon-carbon anode material. According to the performance impact weight, calculate the supply performance index of the supplier, and calculate the supply capacity index based on the historical supply data of the supplier;

[0053] Calculate the procurement allocation ratio according to the supplier ability index, and formulate a procurement plan according to the procurement allocation ratio.

[0054] By establishing a performance correlation matrix and a supplier ability evaluation system, the scientific evaluation and reasonable selection of suppliers are realized. Considering the performance impact weight of raw material performance on finished product performance makes the supplier evaluation more objective and accurate, the procurement allocation more reasonable, and effectively improves the raw material quality guarantee ability.

[0055] Furthermore, the performance impact weight calculation formula is:

[0056]

[0057] where W ki is the performance impact weight of the i-th raw material performance of raw material k, n k is the number of raw material performances of raw material k, and m is the number of finished product performances of the silicon-carbon anode material;

[0058] The supply performance index calculation formula is:

[0059]

[0060] where PI gk is the supply performance index of supplier g for raw material k, σ i and μ i are the standard deviation and mean of the i-th raw material performance respectively, X i and X i ′ are the measured value and target value of the i-th raw material performance respectively;

[0061] The supply capacity index is the daily average supply volume of the supplier in the past 6 months, and the unit of the daily average supply volume is tons / day;

[0062] The procurement allocation ratio calculation formula is:

[0063]

[0064] Among them, α gk is the procurement allocation ratio of raw material k from supplier g, and CI gk is the supply capacity index of supplier g for raw material k. and are respectively the maximum values of the supply performance index and the supply capacity index among all suppliers supplying raw material k. w1 and w2 are weight coefficients, and N k is the number of suppliers supplying raw material k.

[0065] Furthermore, the raw material inventory management unit specifically includes:

[0066] Calculate the comprehensive performance score of raw material warehousing according to the raw material performance and the performance influence weight, and set the hierarchical inventory safety factor according to the comprehensive performance score of raw material warehousing;

[0067] When the comprehensive performance score of raw material warehousing is greater than or equal to the first raw material performance threshold, set the first hierarchical inventory safety factor. When the comprehensive performance score of raw material warehousing is greater than or equal to the second raw material performance threshold and less than the first raw material performance threshold, set the second hierarchical inventory safety factor. When the comprehensive performance score of raw material warehousing is less than the second raw material performance threshold, set the third hierarchical inventory safety factor;

[0068] Calculate the hierarchical safety inventory according to the hierarchical inventory safety factor:

[0069]

[0070] Among them, Q k is the hierarchical safety inventory of raw material k, Z k is the hierarchical inventory safety factor, σ day is the standard deviation of the daily demand of raw material k, and L is the replenishment lead time.

[0071] Furthermore, the comprehensive performance score S k of raw material warehousing of raw material k has the following calculation formula

[0072] By establishing a hierarchical safety inventory model and combining raw material performance with inventory management, performance-based differential inventory management is achieved. By setting different hierarchical inventory safety factors, both supply security is ensured and inventory backlogs are avoided, improving the efficiency of inventory management.

[0073] Furthermore, the order management unit specifically includes: calculating the order satisfaction degree according to the production capacity matching degree, raw material guarantee degree, and delivery schedule feasibility; for orders with an order satisfaction degree greater than the satisfaction threshold, calculating the order priority index according to the order value degree, order delivery degree, and historical order fulfillment rate; sorting the orders from largest to smallest according to the order priority index.

[0074] Furthermore, the calculation formulas for the order satisfaction degree and the order priority index are as follows:

[0075]

[0076] Among them, OSI is the order satisfaction degree, ω1, ω2, and ω3 are the weight coefficients of the production capacity matching degree, raw material guarantee degree, and delivery schedule feasibility respectively, C avai and C used are the available production capacity and the used production capacity respectively, Q req is the order demand, T prod is the production time per unit product, min() is the minimum value function, K is the set of required raw materials, RMQ k and PQ k are the current inventory and the in-transit purchase quantity of raw material k respectively, R k is the demand for raw material k when producing a unit product, T date 、T safe and T pc are the remaining delivery time, safety lead time, and production cycle respectively; OPI is the order priority index, ω4, ω5, and ω6 are the weight coefficients of the order value degree, order delivery degree, and historical order fulfillment rate respectively, V is the order value, V max and are the maximum order value and the maximum remaining delivery time respectively, OFR is the historical order fulfillment rate of the customer.

[0077] A method for evaluating the order priority based on multi-dimensional indicators is proposed, which considers the production capacity matching degree, raw material guarantee degree, and delivery schedule feasibility, realizes the scientific scheduling of orders, and improves the feasibility and execution efficiency of the production plan.

[0078] Furthermore, the finished product inventory management unit specifically includes: calculating the comprehensive performance score of the finished product according to the performance of the silicon-carbon anode material finished product and the weight of the finished product performance; setting the target inventory turnover rate according to the comprehensive performance score of the finished product; dynamically adjusting the production plan according to the deviation between the actual inventory turnover rate and the target inventory turnover rate.

[0079] Furthermore, the calculation formula for the comprehensive performance score PPS of the finished product is Among them, Y j and Y j′ are the measured value and the target value of the performance of the jth finished silicon-carbon anode material, respectively, v j is the weight of the jth finished product performance;

[0080] When the comprehensive performance score of the finished product is greater than or equal to the first finished product performance threshold, set the first target inventory turnover rate. When the comprehensive performance score of the raw material in-warehouse is greater than or equal to the second finished product performance threshold and less than the first finished product performance threshold, set the second target inventory turnover rate. When the comprehensive performance score of the raw material in-warehouse is less than the second finished product performance threshold, set the third target inventory turnover rate.

[0081] Calculate the deviation ΔFTO of the actual inventory turnover rate FTO from the target inventory turnover rate FTO′ = (FTO - FTO′) / FTO′; when |ΔFTO| is less than or equal to 0.1, maintain the existing production plan; when ΔFTO is less than -0.1, reduce the production batch; when ΔFTO is greater than 0.1, increase the production batch.

[0082] The inventory turnover rate management mechanism based on the finished product performance realizes the collaborative optimization of production and inventory by dynamically adjusting the production plan, and improves the resource utilization efficiency.

[0083] Further, the in-feed inspection unit specifically includes: detecting the performance of the raw materials in the production process, calculating the quality ability index of each raw material performance, calculating the comprehensive quality score of the raw materials based on the quality ability index and the performance influence weight, and adjusting the hierarchical inventory safety factor of the raw materials based on the comprehensive quality score of the raw materials.

[0084] Further, the formula for calculating the quality ability index of the raw material performance is:

[0085]

[0086] where QCI i is the quality ability index of the ith raw material performance, USL i and LSL i are the upper and lower limits of the raw material performance respectively, and δ Xi are the mean and standard deviation of the raw material performance test results in the production process respectively;

[0087] The formula for calculating the comprehensive quality score of the raw materials is:

[0088]

[0089] where QS k is the comprehensive quality score of the raw material k, QCI i ′ is the target quality ability index of the ith raw material performance, n kThe quantity of raw material properties of raw material k, W ki is the performance influence weight of the i-th raw material property of raw material k;

[0090] If the comprehensive quality scores of two or more batches of raw materials in the recent three production batches are less than the preset raw material quality threshold, the safety inventory coefficient is reduced to reduce the inventory backlog risk of raw materials with unstable quality.

[0091] By calculating the quality ability index and comprehensive quality score of raw materials, the dynamic monitoring of raw material quality is realized, and combined with safety inventory management, the timeliness and effectiveness of quality control are improved.

[0092] Furthermore, the finished product inspection unit specifically includes: calculating the comprehensive performance score of each finished product batch; identifying the abnormal finished product batches based on the comprehensive performance score of the finished product and tracing them, and warehousing the finished product batches without abnormalities.

[0093] If the comprehensive performance score of a finished product batch is less than the preset performance abnormality threshold, it is an abnormal finished product batch.

[0094] Based on the finished product inspection mechanism of the comprehensive performance score, the timely identification and tracing of abnormal batches are realized, and the accuracy and efficiency of quality control are improved.

[0095] Furthermore, the batch association unit specifically includes: calculating the time correlation degree and performance correlation degree between every two finished product batches of the silicon-carbon anode material, calculating the comprehensive correlation strength according to the time correlation degree and the performance correlation degree, and establishing a forward traceability set and a backward traceability set for each finished product batch according to the comprehensive correlation strength to obtain the traceability chain.

[0096] Furthermore, the calculation formulas for the time correlation degree TCD, performance correlation degree PCD, and comprehensive correlation strength CCD between two finished product batches are:

[0097] TCD = exp(-|Δt| / T0);

[0098]

[0099] where exp() is the natural exponential function, Δt is the production time interval between two finished product batches, T0 is the time decay constant, m is the quantity of the finished product properties of the silicon-carbon anode material, v j is the weight of the j-th finished product property, ΔP j is the difference between two finished product batches in the j-th finished product property of the silicon-carbon anode material, Y j ′ is the target value of the j-th finished product property of the silicon-carbon anode material.

[0100] When the comprehensive correlation strength between the finished product batch a and the finished product batch b is greater than or equal to the preset correlation strength threshold, and the production time of the finished product batch a is before that of the finished product batch b, the finished product batch a is merged into the forward traceability set of the finished product batch b; when the comprehensive correlation strength between the finished product batch c and the finished product batch b is greater than or equal to the preset correlation strength threshold, and the production time of the finished product batch c is after that of the finished product batch b, the finished product batch c is merged into the backward traceability set of the finished product batch b.

[0101] The batch traceability method based on time correlation degree and performance correlation degree constructs a complete traceability chain, improving the accuracy and comprehensiveness of quality traceability.

[0102] Further, the performance traceability unit specifically includes: when the abnormal finished product batch is identified, calculating the performance deviation of the abnormal finished product batch; calculating the contribution degree of each raw material to the performance deviation based on the performance correlation matrix; according to the contribution degree of each raw material, calculating the abnormal correlation degree for all finished product batches in the traceability chain of the abnormal finished product batch, and testing the corresponding finished product batches based on the abnormal correlation degree threshold. Specifically: for the finished product batches with an abnormal correlation degree greater than the first correlation threshold, sampling and reinspection are carried out, and for the finished product batches with an abnormal correlation degree greater than the second correlation threshold and less than or equal to the first correlation threshold, quality monitoring is carried out.

[0103] Further, the calculation formulas for performance deviation, contribution degree, and abnormal correlation degree are:

[0104] ΔY j =(Y j -Y′ j ) / Y′ j ;

[0105]

[0106] Among them, ΔY j is the performance deviation on the performance j of the silicon-carbon anode material finished product, Y j and Y j ′ are respectively the measured value and the target value of the jth silicon-carbon anode material finished product performance, MI k is the contribution degree of the raw material k to the performance deviation, m is the number of silicon-carbon anode material finished product performances, n k is the number of raw material performances of the raw material k, BR is the abnormal correlation degree, N is the number of raw material types, is the judgment coefficient. If the current finished product batch and the abnormal finished product batch use the same batch of raw material k, then is equal to 1, otherwise is equal to 0.

[0107] By calculating the contribution degree and abnormal correlation degree of raw materials to performance deviation, the accurate positioning and systematic analysis of quality problems are realized, providing data support for quality improvement.

[0108] Through the construction of an integrated supply and production management system, the present invention realizes the full-process quality control from raw material procurement to finished product warehousing. The system conducts the correlation analysis between raw material performance and finished product performance throughout various links such as supplier management, inventory management, production management, and quality traceability, and establishes a data-driven decision-making support mechanism. It guides supplier selection and procurement allocation through a performance correlation matrix, improves resource utilization efficiency through hierarchical inventory management, realizes accurate quality traceability through batch correlation analysis, significantly improves the stability and traceability of product quality, and at the same time optimizes the operation efficiency of the supply chain, providing strong management support for the large-scale production of silicon-carbon anode materials for batteries.

[0109] Embodiment 2:

[0110] This embodiment provides a supply and production management method for silicon-carbon anode materials for batteries, used to implement the supply and production management system for silicon-carbon anode materials for batteries as Figure 2 shown, including the following steps:

[0111] Step S10. Based on the performance correlation matrix between raw material performance and the finished product performance of silicon-carbon anode materials, calculate the supplier ability index and formulate a procurement plan; implement hierarchical management of raw material inventory based on raw material performance and construct a hierarchical safety inventory model;

[0112] Step S20. Calculate the order priority index and adjust the production order; implement hierarchical management of finished product inventory based on the finished product performance of silicon-carbon anode materials and set the target inventory turnover rate;

[0113] Step S30. Conduct performance detection on the raw materials during the production process, calculate the comprehensive quality score of the raw materials, and adjust the hierarchical safety inventory model; calculate the comprehensive performance score of the finished product batches and conduct abnormal identification and warehousing;

[0114] Step S40. Calculate the comprehensive correlation strength between finished product batches and construct a traceability chain; calculate the contribution degree of raw material performance to the performance deviation of abnormal finished product batches and optimize the supply and production management process.

[0115] The raw materials required for producing silicon-carbon anode materials include graphite, silicon powder, carbon source, binder, etc. Table 1 shows the performance correlation matrix data of some key raw material performances and the key finished product performances of silicon-carbon anode materials.

[0116] Table 1 Example of performance correlation matrix data

[0117]

[0118] Table 2 shows the evaluation results of the capabilities of some suppliers and the distribution of the procurement ratios of some raw materials corresponding to different suppliers.

[0119] Table 2 Supplier Delivery Performance Index

[0120] Supplier number Raw material type Supply performance index Supply capacity index Procurement allocation ratio (%) S001 Artificial graphite 0.92 0.85 45 S002 Artificial graphite 0.88 0.72 35 S003 Artificial graphite 0.85 0.43 20 S004 Silicon powder 0.95 0.12 50 S005 Silicon powder 0.91 0.09 35 S006 Silicon powder 0.87 0.04 15 S007 Carbon source 0.93 0.18 55 S008 Carbon source 0.89 0.15 45

[0121] Table 3 shows the results of the correlation analysis of some finished product batches.

[0122] Table 3 Example of Correlation Analysis Results

[0123] Finished product batch pair Time interval (days) Time correlation Performance correlation Comprehensive correlation strength B2301 - B2302 1 0.97 0.95 0.96 B2301 - B2304 5 0.82 0.88 0.85 B2301 - B2307 10 0.58 0.72 0.65 B2302 - B2305 6 0.78 0.83 0.81

[0124] Furthermore, as Figure 3 shown, step S10 specifically includes:

[0125] Step S11. Based on historical production data, establish the performance correlation matrix between the raw material performance and the finished product performance of the silicon-carbon anode material:

[0126]

[0127] where R ij is the performance correlation degree between the i-th raw material performance X i and the j-th finished product performance Y j of the silicon-carbon anode material, cov() is the covariance formula, and are the standard deviations of X i and Y j respectively, and SN ij is the signal-to-noise ratio;

[0128] Step S12. The supplier capability index includes a delivery performance index and a delivery capacity index. Based on the performance correlation matrix, calculate the performance impact weight of the raw material performance on the finished product performance of the silicon-carbon anode material, calculate the delivery performance index of the supplier according to the performance impact weight, and calculate the delivery capacity index based on the historical delivery data of the supplier;

[0129] Step S13. Calculate the procurement allocation ratio according to the supplier capability index, and formulate a procurement plan according to the procurement allocation ratio;

[0130] Step S14. Calculate the comprehensive performance score of the raw material in storage according to the raw material performance and the performance impact weight, set the hierarchical inventory safety coefficient according to the comprehensive performance score of the raw material in storage, and calculate the hierarchical safety inventory according to the hierarchical inventory safety coefficient:

[0131]

[0132] where Qk is the classified safety stock of raw material k, Z k is the safety factor of classified inventory, σ day is the standard deviation of the daily demand of raw material k, and L is the replenishment lead time.

[0133] Further, step S20 specifically includes:

[0134] Calculate the order satisfaction degree according to the production capacity matching degree, raw material guarantee degree and delivery feasibility degree; for the orders with the order satisfaction degree greater than the satisfaction degree threshold, calculate the order priority index according to the order value degree, order delivery degree and historical order fulfillment rate; sort the orders from largest to smallest according to the order priority index;

[0135] Calculate the comprehensive performance score of the finished product according to the performance of the silicon carbon anode material finished product and the weight of the finished product performance; set the target inventory turnover rate according to the comprehensive performance score of the finished product; dynamically adjust the production plan according to the deviation between the actual inventory turnover rate and the target inventory turnover rate.

[0136] Further, step S30 specifically includes:

[0137] Conduct performance detection on the raw materials in the production process, calculate the quality ability index of each raw material performance, calculate the comprehensive quality score of the raw materials based on the quality ability index and performance influence weight, and adjust the classified inventory safety factor of the raw materials based on the comprehensive quality score of the raw materials;

[0138] Calculate the comprehensive performance score of each finished product batch; identify the abnormal finished product batches based on the comprehensive performance score of the finished product and conduct traceability, and put the finished product batches without abnormalities into storage.

[0139] Further, step S40 specifically includes:

[0140] Calculate the time correlation degree and performance correlation degree between every two finished product batches of the silicon carbon anode material, calculate the comprehensive correlation strength according to the time correlation degree and the performance correlation degree, establish a forward traceability set and a backward traceability set for each finished product batch according to the comprehensive correlation strength, and obtain the traceability chain;

[0141] When the abnormal finished product batch is identified, calculate the performance deviation of the abnormal finished product batch; calculate the contribution degree of each raw material to the performance deviation based on the performance correlation matrix; according to the contribution degree of each raw material, calculate the abnormal correlation degree for all the finished product batches in the traceability chain of the abnormal finished product batch, and test the corresponding finished product batches based on the abnormal correlation degree threshold.

[0142] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A supply production management system for silicon-carbon negative electrode materials for batteries, characterized in that: include: The raw material management module includes: the supplier management unit, which calculates the supplier capability index and formulates a procurement plan based on the performance correlation matrix between the raw material performance and the finished silicon-carbon anode material performance; the raw material inventory management unit, which implements the hierarchical management of raw material inventory based on the raw material performance and constructs a hierarchical safety inventory model; The production management module includes: an order management unit that calculates the order priority index and adjusts the production sequence; a finished product inventory management unit that implements finished product inventory classification management based on the performance of silicon-carbon anode material finished products and sets the target inventory turnover rate; The quality management module includes: the incoming material inspection unit, which performs performance testing on raw materials in the production process, calculates the comprehensive quality score of raw materials, and adjusts the hierarchical safety stock model; the finished product inspection unit, which calculates the comprehensive performance score of finished product batches, identifies anomalies, and puts them into storage; The traceability management module includes: a batch association unit, which calculates the comprehensive association strength between finished product batches and builds a traceability chain; a performance traceability unit, which calculates the contribution of raw material performance to the performance deviation of abnormal finished product batches and optimizes the supply production management process.

2. The supply production management system of a silicon-carbon negative electrode material for a battery according to claim 1, characterized in that: The supplier management unit specifically includes: Based on historical production data, establishing the performance correlation matrix between the raw material properties and the finished silicon-carbon negative electrode material properties; The supplier capability index includes a supply performance index and a supply capability index. The performance impact weight of the raw material performance on the performance of the silicon-carbon negative electrode material finished product is calculated based on the performance association matrix. The supply performance index of the supplier is calculated according to the performance impact weight. The supply capability index is calculated based on the supplier's historical supply data. The procurement allocation ratio is calculated according to the supplier capability index, and a procurement plan is formulated according to the procurement allocation ratio.

3. The supply production management system of a silicon-carbon negative electrode material for a battery according to claim 1, characterized in that: The raw material inventory management unit specifically includes: Calculate the comprehensive performance score of raw material warehousing according to the raw material performance and performance impact weight, and set the graded inventory safety factor according to the comprehensive performance score of raw material warehousing; Calculate the hierarchical safety stock based on the hierarchical stock safety factor: Among them, Q k is the hierarchical safety stock of raw material k, Z k is the safety factor of graded inventory, σ day is the standard deviation of the daily demand for raw material k, and L is the replenishment lead time.

4. The supply production management system of a silicon-carbon negative electrode material for a battery according to claim 1, characterized in that: The order management unit specifically includes: calculating order satisfaction based on production capacity matching, raw material security and delivery feasibility; for orders whose order satisfaction is greater than a satisfaction threshold, calculating the order priority index based on order value, order delivery and historical order fulfillment rate; and sorting the orders from large to small according to the order priority index.

5. The supply production management system of a silicon-carbon negative electrode material for a battery according to claim 1, characterized in that: The finished product inventory management unit specifically includes: calculating the comprehensive performance score of the finished product based on the finished product performance of the silicon-carbon negative electrode material and the finished product performance weight; setting the target inventory turnover rate based on the finished product comprehensive performance score; and dynamically adjusting the production plan based on the deviation between the actual inventory turnover rate and the target inventory turnover rate.

6. The supply production management system of a silicon-carbon negative electrode material for a battery according to claim 1, characterized in that: The incoming material inspection unit specifically includes: performing performance testing on raw materials in the production process, calculating the quality capability index of each raw material performance, calculating the comprehensive quality score of the raw materials based on the quality capability index and the performance impact weight, and adjusting the graded inventory safety factor of the raw materials based on the comprehensive quality score of the raw materials.

7. The supply production management system of silicon-carbon negative electrode materials for batteries according to claim 1, characterized in that: The finished product inspection unit specifically includes: calculating the finished product comprehensive performance score of each finished product batch; identifying the abnormal finished product batch based on the finished product comprehensive performance score and tracing it, and putting the finished product batch without abnormality into storage.

8. The supply production management system of silicon-carbon negative electrode materials for batteries according to claim 1, characterized in that: The batch association unit specifically includes: calculating the time correlation and performance correlation between every two finished product batches of silicon-carbon negative electrode materials, calculating the comprehensive correlation strength according to the time correlation and the performance correlation, and establishing a forward traceability set and a backward traceability set for each finished product batch according to the comprehensive correlation strength to obtain the traceability chain.

9. The supply production management system of silicon-carbon negative electrode materials for batteries according to claim 1, characterized in that: The performance tracing unit specifically includes: when the abnormal finished product batch is identified, calculating the performance deviation of the abnormal finished product batch; calculating the contribution of each raw material to the performance deviation based on the performance association matrix; according to the contribution of each raw material, calculating the abnormal correlation for all finished product batches in the traceability chain of the abnormal finished product batch, and inspecting the corresponding finished product batch based on the abnormal correlation threshold.

10. A method for supplying and producing silicon-carbon negative electrode materials for batteries, characterized in that: The following steps are involved: Step S10. Calculate the supplier capability index based on the performance correlation matrix of the raw material performance and the finished silicon-carbon negative electrode material performance, and formulate a procurement plan; Implement hierarchical management of raw material inventory based on raw material properties and build a hierarchical safety inventory model; Step S20. Calculate the order priority index and adjust the production sequence; Implement finished product inventory classification management based on the performance of silicon-carbon anode material finished products and set target inventory turnover rate; Step S30. Perform performance tests on raw materials in the production process, calculate the comprehensive quality score of raw materials, and adjust the hierarchical safety stock model; Calculate the comprehensive performance score of finished product batches, identify anomalies and enter storage; Step S40. Calculate the comprehensive correlation strength between finished product batches and build a traceability chain; Calculate the contribution of raw material properties to the performance deviation of abnormal finished product batches to optimize the supply production management process.

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