Planning collaborative advanced production scheduling system for cold drink factory
By designing and planning a collaborative advanced production scheduling system in a cold drink factory and optimizing production plans using greedy algorithms, the problem of inefficient production scheduling in the cold drink factory under the limitations of production volume, semi-finished product storage time limit and semi-finished product production time limit is solved, and efficient collaborative production scheduling and full utilization of production line resources are achieved.
Patent Information
- Application Number
- CN202510051755.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-14
- Publication Date
- 2025-05-09
AI Technical Summary
Due to the limitations of production volume, semi-finished product storage time limit and semi-finished product production time limit, cold drink factories cannot achieve effective planning and coordinated production schedule, resulting in low production efficiency and idle production lines.
A plan collaborative advanced production scheduling system was designed, including information acquisition module, order sorting module, process disassembly module, production line sorting module and integrated production scheduling module. Through greedy algorithms, production plans are optimized to ensure efficient operation of the production line.
It has achieved efficient coordinated production scheduling in cold drink factories, made full use of production line resources, shortened the waiting time for semi-finished products, improved production output and production line operation efficiency, and avoided the production line being idle due to the time difference in production process of semi-finished products.
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Figure CN119962903A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of automation control technology, and in particular to a planning and collaborative advanced production scheduling system for a cold drink factory. Background Art
[0002] Food enterprises are typical process manufacturing businesses. The characteristics of food production mainly include high-quality raw material selection and sophisticated process flow. Traditional production planning management relies on manual preparation of finished product production plans and semi-finished product production plans, and then the production process mainly relies on planning and scheduling personnel for scheduling and command. This production planning model has shown the shortcomings of manual management in the continuous development of food production. With the expansion of market demand, scheduling and organizing production through human brains has made the production connection between each workshop not rigorous, lacking unified command, and production information opaque.
[0003] Cold drink factories are also special among food factories. Semi-finished products of cold drinks such as egg rolls, chocolate, and milk ingredients involved in ice cream have specific storage requirements and storage time limits. They need to be produced as finished products as soon as possible after the semi-finished products are produced to ensure the taste and food safety of the finished products. The existing collaborative production scheduling is mostly applied to processed products such as mechanical parts and plastic products that can be stored for a long time, and the production scheduling effect is not good for cold drink factories with many restrictions. Summary of the invention
[0004] In order to solve the problems existing in the above-mentioned prior art, the present invention provides a planning and collaborative advanced scheduling system for cold drink factories, which solves the technical problem that existing cold drink factories cannot achieve effective planning and collaborative scheduling due to restrictions on production volume, semi-finished product storage time limit, semi-finished product production time limit, etc.
[0005] A planning and collaborative advanced production scheduling system for cold drink factories, comprising an information acquisition module, an order sorting module, a process disassembly module, a production line sorting module, and an integrated production scheduling module; the information acquisition module is used to obtain demand order information and production information of the current production line, the demand order information includes a delivery date and an order priority, the order sorting module is used to sort orders according to the demand order information, the process disassembly module is used to process-disassemble the top-ranked orders output by the order sorting module, and clarify the production steps; the production line sorting module is used to sort the production lines according to the current production situation; the integrated production scheduling module is used to design a production schedule based on the output results of the process disassembly module and the production line sorting module and issue it to the corresponding production line.
[0006] Furthermore, the production line includes multiple semi-finished product production lines and finished product production lines. The production line sorting module classifies each production line and sets corresponding priorities, including the production line that is currently executing the production plan, namely the Class A production line, the idle production line but with a production plan, namely the Class B production line, and the idle production line without a production plan, namely the Class C production line. The time when the Class A production line ends production is T A , the estimated idle time of Class B production line is T B ;
[0007] The A-type production line is T A Sort by T A The shorter the length, the higher the ranking.
[0008] The B production line is T B Sort by T B The longer it is, the higher it is sorted;
[0009] The specific production line priority ranking is Class C production line > Class B production line > Class A production line.
[0010] The specific output results are as follows:
[0011] {{C1, T α1 , P α1}, {C2, T α2 , P α2}, {C1, T α3 , P α3}...{C1, T αn , P αn}}
[0012] {{C2, T α1 , P α1}, {C2, T α2 , P α2}, {C1, T α3 , P α3}...{C1, T αn , P αn}} ...
[0014] {{C n , T α1 , P α1}, {C2, T α2 , P α2}, {C1, T α3 , P α3}...{C1, T αn , P αn}}
[0015] In the formula, C n is the nth semi-finished product production line, α=A,B,C,Tαn is the time of the nth production line in the αth type of production line, P αn is the priority of the nth production line of the αth type production line.
[0016] Furthermore, the output results of the process disassembly module include various semi-finished product types, corresponding production line types, production time required according to the demand order quantity, production priority, finished product types, production line types corresponding to finished product types, production time required according to the demand order quantity, and production priority. Specifically, the production order is determined according to the type of semi-finished products. For example, semi-finished products that can be temporarily stored after production will be produced first, and semi-finished products that need to be used in time after production will be produced after other semi-finished products are completed. If there are semi-finished products that need to be used in time, the finished products must be produced in time after all semi-finished products are completed.
[0017] The specific output results are as follows:
[0018] {{L 11 ,C 11 ,T 11 ,P 11},{L 12 ,C 12 ,T 12 , P 12},..{L 1n ,C 1n ,T 1n ,P 1n},{L1,C A ,T1,P1}}
[0019] {{L 21 ,C 21 ,T 21 ,P 21},{L 22 ,C 22 ,T 22 , P 22},..{L 2n ,C 2n ,T 2n ,P 2n},{L2,C A ,T2,P2}} ...
[0021] {{L N1 ,C N1 ,T N1 ,P N1},{L N2 ,C N2 ,T N2 , P N2},..{L Nn ,C Nn ,TNn ,P Nn},{L N ,C N ,T N ,P N}}
[0022] Where, L Nn The type of the nth semi-finished product required for the Nth type of finished product, C Nn is the production line corresponding to the nth type of semi-finished product required by the Nth type of finished product, T Nn is the production time of the nth semi-finished product required for the Nth type of finished product, P Nn The production priority of the nth semi-product of the Nth type of finished product.
[0023] Furthermore, the integrated production scheduling module is used to arrange and combine the production lines and various semi-finished products and finished product production requirements according to the output results of the production line sorting module and the process disassembly module, and use the greedy algorithm to find the optimal monthly production plan, and then generate a daily production plan based on the monthly production plan, and send the daily production plan to each production line workshop to guide production.
[0024] Furthermore, the objectives of the greedy algorithm include:
[0025] The largest number of orders completed each month:
[0026]
[0027] Where Y i is the demand order quantity completed on the i-th day, and n is the number of days in the month;
[0028] The semi-finished product has the shortest waiting time for the finished product:
[0029]
[0030] t k is the time to start producing finished products for the kth demand order, t kj is the production completion time of the jth semi-finished product in the kth demand order, and N is the maximum number of orders produced in the month;
[0031] The difference between order completion time and delivery time is the shortest:
[0032]
[0033] T y is the estimated delivery time for the yth demand order, t y is the production completion time of the yth demand order, and N is the maximum number of orders produced in the month;
[0034] Integration goal: Highest production line efficiency
[0035]
[0036] Where, T month The total working hours for the month.
[0037] Furthermore, the constraints of the greedy algorithm include:
[0038] Order completion time is less than or equal to delivery time:
[0039] t y ≤T y
[0040] T y is the estimated delivery time for the yth demand order, t y is the production completion time of the yth demand order, and N is the maximum number of orders produced in the month;
[0041] The storage time of a specific semi-finished product is less than or equal to the maximum storage time:
[0042] t k -t kj ≤T zan
[0043] In the formula, t k is the time to start producing finished products for the kth demand order, t kj is the production completion time of the jth semi-finished product in the kth demand order, T kjm The maximum time that the jth semi-finished product in the kth demand order can be temporarily stored.
[0044] Furthermore, it also includes an MRP module for summarizing and displaying the current production information and planned production information of the production line, order completion status and raw material inventory status in real time.
[0045] Furthermore, the MRP module can regularly calculate the raw material demand for a period of time in the future according to the production plan and compare it with the raw material inventory. If the raw material inventory is insufficient to meet the raw material demand of the daily production plan, a prompt message for purchasing raw materials will be issued.
[0046] Furthermore, the MRP module regularly verifies whether the raw material inventory consumption matches the completed production plan. If it does not match, it issues a prompt message indicating that the raw material consumption is incorrect.
[0047] The beneficial effects of the present invention include:
[0048] According to the production characteristics of the cold drink factory, various production lines are classified and counted. At the same time, the production needs of various semi-finished products and finished products are generated according to the demand orders. Then, the best permutation and combination are obtained through the designed greedy algorithm. On the premise of meeting the order demand and production demand, the production line is fully utilized to shorten the waiting time of semi-finished products as much as possible, increase production output, and maximize the operation efficiency of the production line, thereby avoiding idle production lines due to the time difference in the production process between semi-finished products and semi-finished products, and realizing efficient collaborative production scheduling. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 This is a structural diagram of a planning collaborative advanced production scheduling system for a cold drink factory involved in an embodiment of the present application. DETAILED DESCRIPTION
[0050] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.
[0051] A planning collaborative advanced scheduling system for cold drink factories, such as Figure 1 As shown, it includes an information acquisition module, an order sorting module, a process disassembly module, a production line sorting module, and an integrated production scheduling module; the information acquisition module is used to obtain the demand order information and the production information of the current production line, the demand order includes the delivery date and order priority, the order sorting module is used to sort the orders according to the demand order information, the process disassembly module is used to process the top orders output by the order sorting module, and clarify the production steps; the production line sorting module is used to sort the production lines according to the current production situation; the integrated production scheduling module is used to design the production schedule according to the output results of the process disassembly module and the production line sorting module and issue it to the corresponding production line.
[0052] Specifically, the system has one-click automatic scheduling, and can fine-tune the plan by manual adjustment to complete the production plan scheduling of the finished product workshop. The main scheduling interface displays the production plan of the molding workshop production line and the CIP cleaning plan of the finished product production line in the form of a Gantt chart. The main interface operation functions of the Gantt chart scheduling interface include output update, one-click scheduling, MRP, save and publish buttons, production plan up and down movement, manual scheduling, production plan splitting, production plan delay, production plan deletion and other function buttons.
[0053] The output results after production scheduling is completed: daily production plan details of finished product production line, cleaning calendar of finished product production line, summary of semi-finished product demand, summary of semi-finished product demand production line, details of semi-finished product demand, summary of raw material demand, summary of raw material demand production line, details of raw material demand.
[0054] While performing production scheduling calculations, the daily material requirements are automatically calculated, and the current material inventory information and warehouse material collection demand information are displayed in the MRP function.
[0055] Through the release function of finished product planning and scheduling, the finished product production line daily production plan is generated into finished product production line shifts or daily production plan.
[0056] In the finished product production scheduling function, the shift or daily production plan is decomposed into finished product production work orders. The finished product production work orders include: semi-finished product work orders, packaging work orders, and boxing work orders.
[0057] When the production plan is decomposed, the product production process standards are checked to see if they are complete. When decomposing, a unique finished product work order number is automatically generated.
[0058] Work order information includes: work order number, material, product segment, machine, shift, team, planned start and end time, planned output and other information.
[0059] After completing the decomposition of the finished product production plan, the finished product production work order is released to the finished product workshop through the release button to organize production.
[0060] Specifically, the cold drink in this embodiment is ice cream, and the semi-finished products required include egg rolls, chocolate, and milk. Among them, egg rolls can be stored for a long time in a specified manner after production, the storage time of chocolate after production should not be too long, and the time from the production of milk to the production of finished products cannot exceed a few days.
[0061] In another embodiment, the production line includes multiple semi-finished product production lines and finished product production lines. The production line sorting module classifies each production line and sets corresponding priorities, including the production line that is currently executing the production plan, namely the Class A production line, the idle production line but with a production plan, namely the Class B production line, and the idle production line without a production plan, namely the Class C production line, wherein the time when the Class A production line ends production is T A , the estimated idle time of Class B production line is T B ;
[0062] The A-type production line is T A Sort by T A The shorter the length, the higher the ranking.
[0063] The B production line is T B Sort by T B The longer it is, the higher it is sorted;
[0064] The specific production line priority ranking is Class C production line > Class B production line > Class A production line.
[0065] The sorting results are as follows:
[0066] {{C1, T α1 , P α1}, {C2, T α2 , P α2}, {C1, T α3 , P α3}...{C1, T αn , P αn}}
[0067] {{C2, T α1 , P α1}, {C2, T α2 , P α2}, {C1, T α3 , P α3}...{C1, T αn , P αn}} ...
[0069] {{C n , T α1 , P α1}, {C2, T α2 , P α2}, {C1, T α3 , P α3}...{C1, T αn , P αn}}
[0070] In the formula, C n is the nth semi-finished product production line, α=A,B,C,T αn is the time of the nth production line in the αth type of production line, P αn is the priority of the nth production line of the αth type production line.
[0071] In another embodiment, the output result of the process disassembly module includes each semi-finished product type, the corresponding production line type, the production time required according to the demand order quantity, the production priority, the finished product type, the production line type corresponding to the finished product type, the production time required according to the demand order quantity, and the production priority. Specifically, the production sequence is determined according to the semi-finished product type. For example, the semi-finished products that can be temporarily stored after production are produced first, and the semi-finished products that need to be used in time after production are produced after other semi-finished products are completed. If there are semi-finished products that need to be used in time, the finished products must be produced in time after all the semi-finished products are completed;
[0072] {{L 11 ,C11 ,T 11 ,P 11},{L 12 ,C 12 ,T 12 , P 12},..{L 1n ,C 1n ,T 1n ,P 1n},{L1,C A ,T1,P1}}
[0073] {{L 21 ,C 21 ,T 21 ,P 21},{L 22 ,C 22 ,T 22 , P 22},..{L 2n ,C 2n ,T 2n ,P 2n},{L2,C A ,T2,P2}} ...
[0075] {{L N1 ,C N1 ,T N1 ,P N1},{L N2 ,C N2 ,T N2 , P N2},..{L Nn ,C Nn ,T Nn ,P Nn},{L N ,C N ,T N ,P N}}
[0076] Where, L Nn The type of the nth semi-finished product required for the Nth type of finished product, C Nn is the production line corresponding to the nth type of semi-finished product required by the Nth type of finished product, T Nn is the production time of the nth semi-finished product required for the Nth type of finished product, P Nn The production priority of the nth semi-product of the Nth type of finished product.
[0077] In the formula, C n is the nth semi-finished product production line, α=A,B,C,T αn is the time of the nth production line in the αth type of production line, P αnis the priority of the nth production line of the αth type production line.
[0078] In another embodiment, the integrated production scheduling module is used to arrange and combine the production lines and various semi-finished products and finished product production requirements according to the output results of the production line sorting module and the process disassembly module, and use a greedy algorithm to find the optimal monthly production plan, and then generate a daily production plan based on the monthly production plan, and send the daily production plan to each production line workshop to guide production.
[0079] Specifically, query the demand orders for this month, and the system background program will check whether the semi-finished product BOM formula, production path configuration, and production capacity configuration are completed. The system will give a guided production volume based on the summary calculation of daily demand this month and create a semi-finished product production demand plan.
[0080] When decomposing the semi-finished product production plan, check whether the product production process standards are complete. Automatically generate a unique semi-finished product work order number when decomposing. The work order information includes: work order number, material, product segment, machine, shift, team, planned start and end time, planned output and other information.
[0081] In another embodiment, the production process of the semi-finished product is managed according to the production plan, specifically:
[0082] 1) Semi-finished product work order management: query the semi-finished product production work order issued by the semi-finished product production plan and scheduling. After the production team confirms the production work order of the current shift, they will collect materials and start production. During the production process, quality inspections will be carried out according to the production process standards, and the inspection process data will be recorded. When the production is completed, the production work order will be terminated, and the product quantity will be checked and entered. The semi-finished products will be transferred to the temporary storage tank specified in the semi-finished product work order for subsequent production and processing.
[0083] 2) Management of temporary storage work orders for semi-finished products. Query the temporary storage production work orders released by the semi-finished product production plan and scheduling. After the production team confirms the production work order of the current shift, the materials are transferred into the temporary storage tank after the semi-finished product work order is completed and the sterilization process begins. During the production process, quality inspections are carried out according to the production process standards and the inspection process data is recorded. After the inspection is qualified, the materials are put into production of finished products and the production output is reported after the semi-finished product consumption is completed.
[0084] 3) Semi-finished product production batch traceability, realizing forward and reverse traceability of raw materials of semi-finished product production batches.
[0085] 4) Semi-finished product cleaning management, query the cleaning work order issued by the semi-finished product advanced scheduling, the cleaning work order is specific to the equipment, shift, and team. The cleaning work order includes input, submission, cancellation, and verification functions.
[0086] In another embodiment, the objectives of the greedy algorithm include:
[0087] The largest number of orders completed each month:
[0088]
[0089] Where Y i is the demand order quantity completed on the i-th day, and n is the number of days in the month;
[0090] The semi-finished product has the shortest waiting time for the finished product:
[0091]
[0092] t k is the time to start producing finished products for the kth demand order, t kj is the production completion time of the jth semi-finished product in the kth demand order, and N is the maximum number of orders produced in the month;
[0093] The semi-finished products defined here are specific semi-finished products with a short storage period, and do not involve semi-finished products with a relatively long storage period.
[0094] The difference between order completion time and delivery time is the shortest:
[0095]
[0096] T y is the estimated delivery time for the yth demand order, t y is the production completion time of the yth demand order, and N is the maximum number of orders produced in the month;
[0097] Integration goal: Highest production line efficiency
[0098]
[0099] Where, T month The total working hours for the month.
[0100] In another embodiment, the constraints of the greedy algorithm include:
[0101] Order completion time is less than or equal to delivery time:
[0102] t y ≤T y
[0103] T y is the estimated delivery time for the yth demand order, t y is the production completion time of the yth demand order, and N is the maximum number of orders produced in the month;
[0104] The storage time of semi-finished products is less than or equal to the maximum storage time:
[0105] t k -t kj≤T zan
[0106] In the formula, t k is the time to start producing finished products for the kth demand order, t kj is the production completion time of the jth semi-finished product in the kth demand order, T kjm The maximum time that the jth semi-finished product in the kth demand order can be temporarily stored.
[0107] In another embodiment, an MRP module is also included for summarizing and displaying the current production information and planned production information of the production line, order completion status, and raw material inventory status in real time.
[0108] In another embodiment, the MRP module can periodically calculate the raw material demand for a period of time in the future according to the production plan and compare it with the raw material inventory. If the raw material inventory is insufficient to meet the raw material demand of the production day plan, a prompt message for purchasing raw materials is issued.
[0109] In another embodiment, the MRP module periodically verifies whether the raw material inventory consumption matches the completed production plan. If not, a prompt message indicating incorrect raw material consumption is issued.
[0110] In another embodiment, an energy management module is also included, including the following functions:
[0111] 1) Basic functions of energy management, realizing basic data configuration of energy type, energy pricing, energy level, point management, and metering instruments;
[0112] 2) Energy collection and monitoring function, realizing energy collection and monitoring, equipment collection and monitoring, and production line collection and monitoring;
[0113] 3) Energy consumption statistics gap function, realize monthly comprehensive analysis of energy consumption, daily comprehensive analysis of energy consumption, and realize drilling from monthly comprehensive analysis of energy consumption to daily analysis of energy consumption;
[0114] OEE management module, including the following functions:
[0115] 1) OEE basic configuration function, realizing loss classification and production line OEE basic data configuration;
[0116] 2) Shutdown record management function, realizing automatic or manual recording of production line shutdown;
[0117] 3) Production line OEE monitoring function, which displays the calendar time, planned downtime, downtime loss, performance loss, defect loss, load time, operation time, net operation time, effective operation time, time utilization, equipment utilization, quality qualification rate, comprehensive efficiency, OEE loss, and comprehensive productivity point data of the production line OEE;
[0118] 4) OEE comprehensive analysis function, realizing OEE monthly comprehensive comparative analysis and production line OEE daily comparative analysis; OEE monthly comprehensive comparative analysis drills into daily production line OEE analysis of the month, and production line daily OEE analysis drills into production line daily OEE model; production line OEE daily comparative analysis drills into production line daily OEE model;
[0119] The above-mentioned embodiments only express the specific implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the protection scope of the present application. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the technical solution concept of the present application, and these all belong to the protection scope of the present application.
Claims
1. A planning collaborative advanced production scheduling system for a cold drink factory, characterized in that: It includes an information acquisition module, an order sorting module, a process disassembly module, a production line sorting module, and an integrated production scheduling module; the information acquisition module is used to obtain demand order information and production information of the current production line, the demand order information includes delivery date and order priority, the order sorting module is used to sort orders according to demand order information, the process disassembly module is used to process-disassemble the top-ranked orders output by the order sorting module, and clarify the production steps; the production line sorting module is used to sort the production lines according to the current production situation; the integrated production scheduling module is used to design a production schedule based on the output results of the process disassembly module and the production line sorting module and issue it to the corresponding production line.
2. The planning collaborative advanced production scheduling system for cold drink factories according to claim 1 is characterized in that: The production line includes multiple semi-finished product production lines and finished product production lines. The production line sorting module classifies each production line and sets corresponding priorities, including the production line that is currently executing the production plan, namely the Class A production line, the idle production line but with a production plan, namely the Class B production line, and the idle production line without a production plan, namely the Class C production line. The time when the Class A production line ends production is T A , the estimated idle time of Class B production line is T B ; Class A production line according to T A Sort by T A The shorter the line, the higher the ranking; Class B production lines are arranged according to T B Sort by T B The longer it is, the higher it is ranked; the production line priority is sorted as Class C production line > Class B production line > Class A production line.
3. The planning collaborative advanced production scheduling system for a cold drink factory according to claim 1 is characterized in that: The output results of the process disassembly module include various semi-finished product types, corresponding production line types, production time required according to the demand order quantity, production priority, finished product types, production line types corresponding to finished product types, production time required according to the demand order quantity, and production priority. Specifically, the production order is determined according to the type of semi-finished products. Semi-finished products that can be temporarily stored after production will be produced first, and semi-finished products that need to be used in time after production will be produced after other semi-finished products are completed. If there are semi-finished products that need to be used in time, the finished products must be produced in time after all semi-finished products are completed.
4. The planning collaborative advanced production scheduling system for cold drink factories according to claim 1 is characterized in that: The integrated production scheduling module is used to arrange and combine the production lines and various semi-finished products and finished product production requirements according to the output results of the production line sorting module and the process disassembly module, and use the greedy algorithm to find the optimal monthly production plan, and then generate a daily production plan based on the monthly production plan, and send the daily production plan to each production line workshop to guide production.
5. The planning collaborative advanced production scheduling system for cold drink factories according to claim 4 is characterized in that: The goals of the greedy algorithm include: The largest number of orders completed each month: Where Y i is the demand order quantity completed on the i-th day, and n is the number of days in the month; The time that semi-finished products have to wait for finished products to be produced is the shortest: t k is the time to start producing finished products for the kth demand order, t kj is the production completion time of the jth semi-finished product in the kth demand order, and N is the maximum number of orders produced in the month; The difference between order completion time and delivery time is the shortest: T y is the estimated delivery time for the yth demand order, t y is the production completion time of the yth demand order, and N is the maximum number of orders produced in the month; Integration goal: Highest production line efficiency Where, T month The total working hours for the month.
6. The planning collaborative advanced production scheduling system for cold drink factories according to claim 4 is characterized in that: The constraints of the greedy algorithm include: Order completion time is less than or equal to delivery time: t y ≤T y T y is the estimated delivery time for the yth demand order, t y is the production completion time of the yth demand order, and N is the maximum number of orders produced in the month; The storage time of a specific semi-finished product is less than or equal to the maximum storage time: t k -t kj ≤T kjm Where, t k is the time to start producing finished products for the kth demand order, t kj is the production completion time of the jth semi-finished product in the kth demand order, T kjm The maximum time that the jth semi-finished product in the kth demand order can be temporarily stored.
7. The planning collaborative advanced production scheduling system for cold drink factories according to claim 1 is characterized in that: It also includes an MRP module, which is used to summarize and display the current production information and planned production information of the production line, order completion status and raw material inventory status in real time.
8. The planning collaborative advanced production scheduling system for a cold drink factory according to claim 7, characterized in that: The MRP module can regularly calculate the raw material demand for a period of time in the future according to the production plan and compare it with the raw material inventory. If the raw material inventory is insufficient to meet the raw material demand of the daily production plan, a prompt message for purchasing raw materials will be issued.
9. The planning collaborative advanced production scheduling system for a cold drink factory according to claim 7, characterized in that: The MRP module regularly verifies whether the raw material inventory consumption matches the completed production plan. If it does not match, it will issue a prompt message indicating that the raw material consumption is incorrect.
Citation Information
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