Scheduling method for sheet workshop in ship industry
By calculating processing priority coefficients and dynamically updating production schedules, the problem of structural complexity, delivery urgency, and process requirements not being comprehensively considered in the thin plate workshop was solved, thus achieving efficient production and optimized production processes in the thin plate workshop.
Patent Information
- Application Number
- CN202511740557.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-25
- Publication Date
- 2026-03-17
AI Technical Summary
The existing production scheduling method in the thin plate workshop fails to comprehensively consider the complexity of the segmented structure, the urgency of delivery, and the processing requirements, resulting in delays in the scheduling of key segments, bottlenecks in the process, and difficulties in dynamic adjustment, which affects production efficiency and cycle time.
By calculating processing priority coefficients, potential bottleneck processes can be identified, production scheduling can be dynamically updated, process chains can be optimized, and changes can be responded to quickly, ensuring reasonable resource allocation and production continuity.
It improved the production scheduling efficiency of the thin plate workshop, reduced delays and congestion, enhanced the scientific nature and flexibility of production planning, and shortened the construction cycle.
Smart Images
Figure CN121684141A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of production scheduling technology in thin plate workshops of the shipbuilding industry, and in particular to a production scheduling method for thin plate workshops in the shipbuilding industry. Background Technology
[0002] In the shipbuilding industry, the thin plate workshop is mainly responsible for the production and manufacturing of thin plate sections such as the superstructure and bulkheads of ships. These sections are usually characterized by complex structure, dense welds, and high requirements for deformation control. Their production scheduling is a key link connecting design, materials, and workshop execution, and directly affects the ship's construction cycle and construction cost.
[0003] The existing production scheduling methods in thin plate workshops mainly rely on the experience of planners for static and extensive scheduling, which generally have the following problems: (1) When determining the production sequence of multiple ship sections, the existing methods often rely solely on the delivery date or a simple first-come-first-served principle, failing to comprehensively consider the "structural complexity", "delivery urgency" and specific "processing requirements" of the sections. This may lead to delays in the overall progress of key sections due to scheduling delays, or insufficient resource reservations for complex sections, resulting in congestion in production and reducing the scientificity and efficiency of the overall scheduling; (2) The production line in the thin plate workshop consists of multiple processes such as blanking, cutting, bending, welding, and straightening. The existing scheduling methods usually treat each process as equivalent, making it impossible to determine the order of production before scheduling. Effectively identify potential bottleneck processes in the process chain and assess their load rate. When a process becomes an actual bottleneck, it will only respond passively, causing subsequent processes to wait for materials and semi-finished products to accumulate, seriously disrupting the initial plan and making the feasibility and stability of the production schedule insufficient; (3) Ship construction cycle is long, and during the process, "new sections", "delivery date advance" or "equipment failure" and other "production schedule change requirements" are very common. Once the existing static production schedule is formulated, it is difficult to adjust. It is difficult to make a quick and scientific dynamic response based on the "plan execution progress" and "remaining capacity of the workshop". Planners often need to spend a lot of time manually rescheduling, and the adjustment results are difficult to guarantee the best, often failing to meet the final delivery requirements, resulting in low production efficiency in the thin plate workshop. Summary of the Invention
[0004] To address the problems existing in the prior art, this invention provides a production scheduling method for thin plate workshops in the shipbuilding industry. The method includes:
[0005] Receive workshop production scheduling requirements, obtain information on ship sections to be scheduled for production and processing resource parameters, and determine the production scheduling time window; wherein, the processing resource parameters include the number of workstations, equipment processing efficiency, and personnel configuration intensity; based on the structural complexity, delivery urgency, and processing technology requirements of the ship sections to be scheduled for production, calculate the processing priority coefficient of each section's sub-pieces;
[0006] The processing chain of the wafer is disassembled, potential bottleneck processes in the chain are identified, and the load rate of the potential bottleneck processes is calculated. If the load rate is greater than a preset load threshold, the potential bottleneck process is determined to be a core bottleneck process. Based on the processing priority coefficient, the wafer is allocated processes to generate an initial production schedule.
[0007] When a production schedule change request is detected, the production schedule adjustment sensitivity is calculated based on the execution progress of the initial production schedule plan and the remaining capacity of the workshop. The production schedule plan is then dynamically updated according to the production schedule adjustment sensitivity to ensure that the updated production schedule plan meets the delivery requirements. The production schedule change request includes adding segments, changing deadlines, and adjusting processing resources.
[0008] Furthermore, the calculation process for the processing priority coefficient includes:
[0009] Extract the structural complexity factor of the ship section to be produced, whereby the structural complexity factor is the ratio of the weld length of the sheet to the preset weld reference value.
[0010] Calculate the delivery urgency factor, which is the ratio of the preset delivery cycle to the remaining available processing time;
[0011] Obtain the process adaptation factor corresponding to the processing requirements, wherein the process adaptation factor is the ratio of the number of special processes required for sheet processing to the total number of processes;
[0012] The structural complexity factor, delivery urgency factor, and process adaptability factor are weighted and summed according to preset weights to obtain the sheet processing priority coefficient.
[0013] Furthermore, the process chain for disassembling the sheet includes:
[0014] The processing flow of the sheet body is broken down into milling and panel assembly process, panel cutting process and longitudinal bone welding process, forming a closed-loop process chain;
[0015] Calculate the standard processing time for each process, whereby the standard processing time is the ratio of historical processing data for similar sheets to the processing efficiency of the equipment;
[0016] When the structural complexity factor of the sheet is greater than the preset complexity threshold, the standard processing time of the milling and splicing process is extended proportionally. The extension ratio is positively correlated with the structural complexity factor, and the extended standard processing time does not exceed the preset maximum processing time limit.
[0017] Furthermore, the calculation of the load rate of the potential bottleneck process includes:
[0018] The planned processing quantity of the potential bottleneck process within the production scheduling time window is counted, and the total planned processing time is obtained by combining the standard processing time of each piece.
[0019] Based on the ratio of the total planned processing time to the production scheduling time window, and in conjunction with the number of workstations, the theoretical maximum processing capacity of the potential bottleneck process is calculated.
[0020] The load factor is the ratio of the planned number of wafers to the theoretical maximum processing capacity.
[0021] Furthermore, the process allocation of the wafer based on the processing priority coefficient includes:
[0022] Sort all the wafers to be processed in descending order according to the processing priority coefficient, and prioritize the allocation of high-priority wafers to the idle workstations of the core bottleneck process;
[0023] Calculate the processing connection adaptability of adjacent high-priority wafers in the core bottleneck process. The connection adaptability is the ratio of the time difference between the processing completion time of the previous wafer and the preparation time of the next wafer to a preset connection benchmark value.
[0024] If the connection compatibility is greater than the preset compatibility threshold, the two pieces will be continuously assigned to the same workstation.
[0025] If the connection compatibility is less than or equal to the preset compatibility threshold, a buffer sheet is inserted. The processing priority coefficient of the buffer sheet is lower than that of the two current sheets, and the processing time of the buffer sheet does not exceed the time difference.
[0026] Furthermore, the triggering conditions for detecting production schedule change requirements include:
[0027] When a new segment is received, the capacity matching rate between the total processing volume of the new segment and the remaining capacity of the workshop is calculated. The remaining capacity of the workshop is the total amount of processing resources that are not occupied within the production scheduling time window. If the capacity matching rate is greater than 1, a production scheduling adjustment is triggered. If the capacity matching rate is less than or equal to 1, the new segment's wafers are directly inserted into the initial production scheduling plan according to the processing priority coefficient.
[0028] When the deadline is changed, the time difference between the changed deadline and the original planned delivery date is calculated. If the time difference is less than a preset time threshold, a production schedule adjustment is triggered.
[0029] Furthermore, the calculation of the production scheduling adjustment sensitivity includes:
[0030] Based on the average response time and satisfaction with the adjustment effect of the workshop's historical production scheduling adjustments, a sensitivity benchmark value is determined.
[0031] If the production schedule change requirement is to add a new segment, then the production schedule adjustment sensitivity is the product of the sensitivity benchmark value and the capacity adaptation rate. The higher the capacity adaptation rate, the higher the sensitivity.
[0032] If the production schedule change requirement is a change in the deadline, then the production schedule adjustment sensitivity is the inverse ratio of the sensitivity benchmark value to the time difference. The smaller the time difference, the higher the sensitivity.
[0033] When dynamically updating the production schedule, the adjustment range is positively correlated with the production schedule adjustment sensitivity. The higher the sensitivity, the faster the adjustment response speed, and the load rate of the core bottleneck process after adjustment does not exceed the preset load threshold.
[0034] Furthermore, after dynamically updating the production schedule, it also includes:
[0035] Calculate the average connection and compatibility of each process in the updated production schedule and the average load rate of the core bottleneck process;
[0036] If the average connectivity compatibility value is greater than the preset verification compatibility threshold, and the average load rate is less than the preset load threshold, then the updated production schedule is deemed valid.
[0037] If the average load rate is still greater than the preset load threshold, the number of temporary workstations for the core bottleneck process is increased. The increase is the ratio of the portion of the average load rate exceeding the threshold to the processing capacity per workstation, and the number of temporary workstations does not exceed half the number of fixed workstations.
[0038] Furthermore, when multiple ship sections are scheduled for production simultaneously, the calculation of the processing priority coefficient for each section's subsection includes:
[0039] A segmented delivery weight is introduced, which is the ratio of the delivery urgency of each segment to the sum of the delivery urgency of all pending production segments;
[0040] The sheet processing priority coefficient is the product of the weighted sum of the structural complexity factor, delivery urgency factor, and process adaptability factor and the segmented delivery weight.
[0041] All wafers to be produced are sorted uniformly according to the wafer processing priority coefficient, and processing resources are allocated to wafers with the highest coefficient first, so as to realize the collaborative scheduling of multi-segment wafers, and the processing order of wafers within the same segment remains relatively continuous.
[0042] Furthermore, the production scheduling process also includes effect evaluation and parameter optimization:
[0043] The actual load rate of the core bottleneck process, the actual adaptability of process connection, and the on-time completion rate of sheet processing are collected periodically, with the collection period being 1 / 10 of the production scheduling time window;
[0044] If the on-time completion rate is less than the preset on-time rate threshold, the preset load threshold and the preset adaptation threshold are adjusted based on the actual load rate and the actual adaptation degree of the process connection. The adjusted preset load threshold is the product of the original threshold and the ratio of the actual load rate, and the adjusted preset adaptation threshold is the product of the original threshold and the inverse ratio of the actual adaptation degree of the process connection.
[0045] The adjusted parameters are applied to the generation of subsequent production schedules to continuously optimize scheduling accuracy and execution efficiency.
[0046] This invention ensures high-priority tasks are processed first by calculating processing priority coefficients, reducing delivery delays; identifies potential bottleneck processes and calculates load rates, allocating resources or adjusting plans in advance to avoid congestion caused by bottlenecks and improve process smoothness; dynamically adjusts production scheduling plans based on execution progress and remaining capacity to quickly respond to changing needs and reduce the impact of interruptions; integrates processing resource parameters to make production scheduling plans more in line with actual capacity, improving resource utilization; and breaks down process chains and manages process sequences meticulously to optimize production processes, reduce waiting time, and thus improve the scheduling efficiency of the thin plate workshop.
[0047] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of the present invention, nor is it intended to restrict the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description
[0048] The above and other features, advantages, and aspects of the various embodiments of the present invention will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of the invention. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:
[0049] Figure 1 A flowchart illustrating a production scheduling method for a thin plate workshop in the shipbuilding industry according to an embodiment of the present invention is shown. Detailed Implementation
[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0051] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.
[0052] Figure 1 A flowchart illustrating a production scheduling method for a thin plate workshop in the shipbuilding industry according to an embodiment of the present invention is shown, the method comprising:
[0053] S101: Receive workshop production scheduling requirements, obtain information on ship sections to be scheduled and processing resource parameters, and determine the production scheduling time window; wherein, the processing resource parameters include the number of workstations, equipment processing efficiency, and personnel configuration intensity; based on the structural complexity, delivery urgency, and processing technology requirements of the ship sections to be scheduled, calculate the processing priority coefficient of each section's sub-pieces.
[0054] S102, disassemble the processing chain of the sheet body, identify potential bottleneck processes in the chain, and calculate the load rate of the potential bottleneck processes; if the load rate is greater than a preset load threshold, determine the potential bottleneck process as a core bottleneck process, allocate processes to the sheet body based on the processing priority coefficient, and generate an initial production schedule.
[0055] S103, when a production scheduling change requirement is detected, the production scheduling adjustment sensitivity is calculated based on the execution progress of the initial production scheduling plan and the remaining capacity of the workshop, and the production scheduling plan is dynamically updated according to the production scheduling adjustment sensitivity so that the updated production scheduling plan meets the delivery requirements; wherein, the production scheduling change requirement includes adding segments, changing the deadline, and adjusting processing resources.
[0056] In some embodiments, the calculation process of the processing priority coefficient includes: extracting the structural complexity factor of the ship section to be produced, wherein the structural complexity factor is the ratio of the weld length of the sheet to a preset weld reference value; calculating the delivery urgency factor, wherein the delivery urgency factor is the ratio of a preset delivery cycle to the remaining available processing time; obtaining the process adaptation factor corresponding to the processing requirements, wherein the process adaptation factor is the ratio of the number of special processes required for sheet processing to the total number of processes; and weighting and summing the structural complexity factor, delivery urgency factor, and process adaptation factor according to preset weights to obtain the sheet processing priority coefficient. According to embodiments of the present invention, the processing difficulty of the section is quantified by the structural complexity factor, and complex sections are processed first to avoid resource bottlenecks; urgent orders are identified by the delivery urgency factor, and tasks with near delivery dates are prioritized to reduce delays; special process requirements are considered by the process adaptation factor, and special equipment or skills are allocated in advance to reduce waiting time; and the weighted summation comprehensively balances complexity, urgency, and process factors, thereby improving the scheduling efficiency of the thin plate workshop.
[0057] In some embodiments, the disassembly of the processing chain of the sheet body includes: decomposing the processing flow of the sheet body into a milling and splicing process, a splicing and cutting process, and a longitudinal reinforcement welding process to form a closed-loop processing chain; calculating the standard processing time of each process, wherein the standard processing time is the ratio of historical processing data of similar sheets body to the processing efficiency of the equipment; when the structural complexity factor of the sheet body is greater than a preset complexity threshold, the standard processing time of the milling and splicing process is extended proportionally, the extension ratio is positively correlated with the structural complexity factor, and the extended standard processing time does not exceed the preset maximum processing time limit. According to the embodiments of the present invention, by disassembling the processing chain and forming a closed loop, the process sequence is optimized, the waiting time and bottlenecks between processes are reduced, and the production continuity is improved; the standard processing time is calculated based on historical data, which improves the accuracy of the production schedule and reduces the efficiency loss caused by uncertainty; the processing time is dynamically adjusted according to the structural complexity, making the plan more realistic, avoiding delays caused by high complexity, improving resource utilization and scheduling flexibility, and thus improving the production scheduling efficiency of the thin sheet workshop.
[0058] In some embodiments, the calculation of the load rate of the potential bottleneck process includes: counting the planned number of sheets to be processed in the potential bottleneck process within the production scheduling time window, and obtaining the total planned processing time by combining the standard processing time of each sheet; calculating the theoretical maximum throughput of the potential bottleneck process based on the ratio of the total planned processing time to the production scheduling time window, combined with the number of workstations; the load rate is the ratio of the planned number of sheets to the theoretical maximum throughput. According to embodiments of the present invention, by quantifying the load rate of the potential bottleneck process, its capacity utilization can be accurately assessed, enabling the production scheduling system to identify and avoid bottleneck congestion in advance, thereby optimizing resource allocation and task scheduling, and thus improving the production scheduling efficiency of the thin plate workshop.
[0059] In some embodiments, the process allocation of wafers based on the processing priority coefficient includes: sorting all wafers to be processed in descending order according to the processing priority coefficient, and preferentially allocating high-priority wafers to the idle workstations of the core bottleneck process; calculating the processing connection adaptability of adjacent high-priority wafers in the core bottleneck process, wherein the connection adaptability is the ratio of the time difference between the processing completion time of the previous wafer and the preparation time of the next wafer to a preset connection benchmark value; if the connection adaptability is greater than a preset adaptability threshold, then the two wafers are continuously allocated to the same workstation; if the connection adaptability is less than or equal to the preset adaptability threshold, then a buffer wafer is inserted, wherein the processing priority coefficient of the buffer wafer is lower than that of the current two wafers, and the processing time of the buffer wafer does not exceed the time difference. According to embodiments of the present invention, by prioritizing the allocation of high-priority sheets to core bottleneck processes, critical tasks are ensured to be processed quickly, reducing waiting time; by calculating the fit, the processing connection between sheets is optimized, reducing station idle time and improving equipment utilization; when the fit is insufficient, buffer sheets are inserted to fill the time gap, avoid station idleness, maintain production continuity, and thus improve the scheduling efficiency of the thin plate workshop.
[0060] In some embodiments, the triggering conditions for detecting production schedule change requirements include: when receiving information about a new segment, calculating the capacity fit rate between the total processing volume of the new segment and the remaining capacity of the workshop, where the remaining capacity of the workshop is the total amount of processing resources not occupied within the production schedule time window; if the capacity fit rate is greater than 1, then triggering a production schedule adjustment; if the capacity fit rate is less than or equal to 1, then directly inserting the new segment's wafers into the initial production schedule according to the processing priority coefficient; when the deadline changes, calculating the time difference between the changed deadline and the original planned delivery date, and if the time difference is less than a preset time threshold, then triggering a production schedule adjustment. According to embodiments of the present invention, by automatically detecting production scheduling change requirements, manual intervention is reduced and response speed is accelerated; based on the calculation of capacity fit rate and time difference, a data-driven approach is used to determine whether to trigger production scheduling adjustments, avoiding unnecessary plan changes and saving time and resources; when capacity is sufficient, new segments are directly inserted without disrupting the existing plan, improving task integration efficiency; adjustments are only triggered when capacity is insufficient or time is tight, preventing plan fluctuations caused by frequent adjustments, thereby improving the production scheduling efficiency of the thin plate workshop.
[0061] In some embodiments, the calculation of the production scheduling adjustment sensitivity includes: determining a sensitivity benchmark value based on the average response time and adjustment effect satisfaction of the workshop's historical production scheduling adjustments; if the production scheduling change requirement is a new segment, then the production scheduling adjustment sensitivity is the product of the sensitivity benchmark value and the capacity fit rate, and the higher the capacity fit rate, the higher the sensitivity; if the production scheduling change requirement is a change in the deadline, then the production scheduling adjustment sensitivity is the inverse ratio of the sensitivity benchmark value and the time difference, and the smaller the time difference, the higher the sensitivity; when dynamically updating the production scheduling plan, the adjustment range is positively correlated with the production scheduling adjustment sensitivity, the higher the sensitivity, the faster the adjustment response speed, and the load rate of the core bottleneck process after adjustment does not exceed the preset load threshold. According to embodiments of the present invention, by determining a sensitivity benchmark value based on historical data, production scheduling adjustments are made to better align with the actual responsiveness and satisfaction of the workshop, avoiding blind adjustments. For new segmented demands, sensitivity is positively correlated with capacity fit rate, ensuring that adjustments match current capacity and improving resource utilization efficiency. For changes in deadlines, sensitivity is inversely proportional to the time difference, prioritizing responses to urgent changes and reducing the risk of delays. The adjustment magnitude is positively correlated with sensitivity, allowing for rapid responses to high-sensitivity changes, shortening production scheduling delays, and thereby improving the production scheduling efficiency of the thin plate workshop.
[0062] In some embodiments, after dynamically updating the production schedule, the method further includes: calculating the average connection and adaptability of each process in the updated production schedule and the average load rate of the core bottleneck process; if the average connection and adaptability is greater than a preset verification and adaptability threshold and the average load rate is less than the preset load threshold, then the updated production schedule is determined to be valid; if the average load rate is still greater than the preset load threshold, then the number of temporary workstations for the core bottleneck process is increased, the increase being the ratio of the portion of the average load rate exceeding the threshold to the processing capacity per workstation, and the number of temporary workstations not exceeding half the number of fixed workstations. According to embodiments of the present invention, by calculating the average connection adaptability and the average load rate of the core bottleneck process, and setting threshold conditions, the updated production schedule is determined to be valid only when the process connection is smooth and the bottleneck load is reasonable, thereby reducing production interruptions and waiting time and improving overall production continuity. The core bottleneck process is the key to restricting overall capacity. By monitoring its load rate and dynamically adding temporary workstations, the bottleneck constraint is directly alleviated, the process handling capacity is improved, production backlog is avoided, and the order delivery cycle is shortened. The addition of temporary workstations is based on the quantitative calculation of the load rate exceeding the threshold and is limited to no more than half of the fixed workstations, avoiding resource waste and ensuring that resource investment accurately matches actual needs, thereby improving the production scheduling efficiency of the thin plate workshop.
[0063] In some embodiments, when multiple ship sections are scheduled for production simultaneously, the calculation of the processing priority coefficient of each section's sheet metal includes: introducing a section delivery weight, wherein the section delivery weight is the ratio of the delivery urgency of each section to the sum of the delivery urgency of all sections to be scheduled; the sheet metal processing priority coefficient is the product of the weighted sum of the structural complexity factor, the delivery urgency factor, and the process adaptability factor and the section delivery weight; all sheets to be scheduled are uniformly sorted according to the sheet metal processing priority coefficient, and processing resources are preferentially allocated to sheets with high coefficients to achieve collaborative production scheduling of multiple sections' sheets, while the processing order of sheets within the same section remains relatively continuous. According to embodiments of the present invention, by introducing segmented delivery weights, segments with high delivery urgency are prioritized, reducing the risk of delivery delays; the sheet processing priority coefficient comprehensively considers structural complexity, delivery urgency, and process compatibility factors, making production scheduling decisions more comprehensive and reasonable, and avoiding resource waste; all sheets to be scheduled are uniformly sorted to achieve multi-segment collaborative production scheduling, improving the utilization rate of processing resources and reducing idle time; the sheet processing sequence within the same segment remains relatively continuous, reducing switching and setup time, thereby improving the production scheduling efficiency of the thin plate workshop.
[0064] In some embodiments, the production scheduling process further includes effect evaluation and parameter optimization: periodically collecting the actual load rate of the core bottleneck process, the actual adaptability of process connections, and the on-time completion rate of sheet processing, with a collection period of 1 / 10 of the production scheduling time window; if the on-time completion rate is less than a preset on-time rate threshold, then based on the actual load rate and the actual adaptability of process connections, the preset load threshold and the preset adaptability threshold are adjusted; the adjusted preset load threshold is the product of the original threshold and the ratio of the actual load rate, and the adjusted preset adaptability threshold is the product of the original threshold and the inverse ratio of the actual adaptability of process connections; the adjusted parameters are applied to the generation of subsequent production schedules to continuously optimize scheduling accuracy and execution efficiency. According to embodiments of the present invention, by periodically collecting actual production data, real-time monitoring and rapid feedback are achieved to ensure that the production schedule is consistent with the actual production status. When the on-time processing rate is insufficient, the load threshold and adaptation threshold are automatically adjusted to make the parameters more in line with the actual production capacity, optimize resource allocation and process connection. Continuous parameter optimization forms a closed-loop control, constantly corrects the production schedule deviation, improves the planning accuracy, reduces bottleneck waiting and delays, and thus improves the production schedule efficiency of the thin plate workshop.
[0065] It should be understood that the various processes described above can be used to rearrange, add, or delete steps. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.
[0066] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.
Claims
1. A production scheduling method for a sheet mill in the shipbuilding industry, characterized by, The method comprises the following steps: receiving workshop scheduling requirements, obtaining segment information of a ship to be scheduled and processing resource parameters, and determining a scheduling time window; wherein the processing resource parameters include the number of workstations, equipment processing efficiency, and personnel configuration strength; based on the structural complexity, delivery urgency, and processing technology requirements of the segments of the ship to be scheduled, the processing priority coefficient of each segment is calculated; disassembling the processing procedure chain of the segment, identifying potential bottleneck procedures in the procedure chain, and calculating the load rate of the potential bottleneck procedure; if the load rate is greater than a preset load threshold, the potential bottleneck procedure is determined as a core bottleneck procedure, the procedure is allocated to the segment based on the processing priority coefficient, and an initial scheduling plan is generated; when a scheduling change requirement is detected, the scheduling adjustment sensitivity is calculated based on the execution progress of the initial scheduling plan and the remaining production capacity of the workshop, and the scheduling plan is dynamically updated according to the scheduling adjustment sensitivity, so that the updated scheduling plan meets the delivery requirements; wherein the scheduling change requirement includes adding a segment, changing a deadline, and adjusting a processing resource.
2. The production scheduling method for a sheet mill in the shipbuilding industry according to claim 1, characterized in that, The calculation process of the processing priority coefficient comprises: extracting a structural complexity factor of the segment of the ship to be scheduled, wherein the structural complexity factor is the ratio of the weld length of the segment to a preset weld reference value; calculating a delivery urgency factor, wherein the delivery urgency factor is the ratio of a preset delivery cycle to the remaining available processing time; obtaining a process adaptation factor corresponding to the processing technology requirement, wherein the process adaptation factor is the ratio of the number of special processes required for segment processing to the total number of processes; weighting and summing the structural complexity factor, the delivery urgency factor, and the process adaptation factor according to a preset weight to obtain the segment processing priority coefficient.
3. The production scheduling method for a sheet mill in the shipbuilding industry according to claim 2, characterized in that, The disassembling of the processing procedure chain of the segment comprises: disassembling the processing flow of the segment into a milling and plate joining procedure, a plate joining and cutting procedure, and a longitudinal bone welding procedure to form a closed-loop procedure chain; calculating the standard processing time of each procedure, wherein the standard processing time is the ratio of the historical processing data of similar segments to the equipment processing efficiency; when the structural complexity factor of the segment is greater than a preset complexity threshold, the standard processing time of the milling and plate joining procedure is extended by a proportional factor, and the proportional factor is positively correlated with the structural complexity factor, and the extended standard processing time does not exceed a preset maximum processing time limit.
4. The production scheduling method for a sheet mill in the shipbuilding industry according to claim 3, characterized in that, The calculation of the load rate of the potential bottleneck procedure comprises: counting the number of planned processing segments of the potential bottleneck procedure within the scheduling time window, and combining the standard processing time of each segment to obtain the total planned processing time; based on the ratio of the total planned processing time to the scheduling time window, and combining the number of workstations, the theoretical maximum processing capacity of the potential bottleneck procedure is calculated; the load rate is the ratio of the number of planned processing segments to the theoretical maximum processing capacity.
5. The scheduling method for a sheet mill in the shipbuilding industry according to claim 4, characterized in that, The procedure allocation to the segment based on the processing priority coefficient comprises: sorting all processing segments in descending order according to the processing priority coefficient, and preferentially allocating high-priority segments to idle workstations of the core bottleneck procedure; Calculate the processing connection fitness of adjacent high-priority segments at the core bottleneck process, the connection fitness being the ratio of the time difference between the processing completion time of the previous segment and the preparation time of the next segment and a preset connection reference value; If the connection fitness is greater than a preset fitness threshold, then the two segments are continuously allocated to the same station; If the connection fitness is less than or equal to the preset fitness threshold, then a buffer segment is inserted, the processing priority coefficient of the buffer segment being lower than that of the current two segments, and the processing time of the buffer segment not exceeding the time difference.
6. The production scheduling method for a sheet mill in the shipbuilding industry according to claim 5, characterized in that, The triggering conditions for detecting the production scheduling change requirement include: When receiving new segment information, calculate the capacity fitness of the total amount of segments in the new segment to the remaining capacity of the workshop, the remaining capacity of the workshop being the total amount of processing resources not occupied within the production scheduling time window; if the capacity fitness is greater than 1, then production scheduling adjustment is triggered; if the capacity fitness is less than or equal to 1, then the segments of the new segment are directly inserted into the initial production scheduling plan according to the processing priority coefficient; When the deadline is changed, calculate the time difference between the changed deadline and the original planned delivery date; if the time difference is less than a preset time threshold, then production scheduling adjustment is triggered.
7. The scheduling method for a sheet mill in the shipbuilding industry according to claim 6, characterized in that, The calculation of the production scheduling adjustment sensitivity includes: Determine a sensitivity reference value based on the average response time and adjustment effect satisfaction degree of historical production scheduling adjustment of the workshop; If the production scheduling change requirement is a new segment, then the production scheduling adjustment sensitivity is the product of the sensitivity reference value and the capacity fitness, the higher the capacity fitness, the higher the sensitivity; If the production scheduling change requirement is a deadline change, then the production scheduling adjustment sensitivity is the inverse ratio of the sensitivity reference value and the time difference, the smaller the time difference, the higher the sensitivity; When dynamically updating the production scheduling plan, the adjustment amplitude is positively correlated with the production scheduling adjustment sensitivity, the higher the sensitivity, the faster the adjustment response speed, and the load rate of the core bottleneck process after adjustment does not exceed the preset load threshold.
8. The scheduling method for a sheet mill in the shipbuilding industry according to claim 7, characterized in that, After dynamically updating the production scheduling plan, it further includes: Calculate the average connection fitness of each process in the updated production scheduling plan and the average load rate of the core bottleneck process; If the average connection fitness is greater than a preset verification fitness threshold, and the average load rate is less than the preset load threshold, then the updated production scheduling plan is determined to be valid; If the average load rate is still greater than the preset load threshold, then the number of temporary stations of the core bottleneck process is increased, the increase being the ratio of the part of the average load rate exceeding the threshold to the processing capacity per station, and the number of temporary stations not exceeding half of the number of fixed stations.
9. The scheduling method for a sheet mill in the shipbuilding industry according to claim 8, characterized in that, When there are multiple ship segments being scheduled at the same time, the calculation of the processing priority coefficient of the segments under each segment includes: Introduce a segment delivery weight, the segment delivery weight being the ratio of the delivery urgency of each segment to the total delivery urgency of all to-be-scheduled segments; The segment processing priority coefficient being the product of the weighted sum of the structural complexity factor, the delivery urgency factor, and the process fitness factor and the segment delivery weight; All the to-be-produced pieces are sorted according to the piece processing priority coefficient, and the pieces with high coefficients are preferentially allocated to processing resources, so that the pieces in multiple sections are cooperatively scheduled, and the processing sequence of the pieces in the same section is relatively continuous.
10. The scheduling method for a sheet mill in the shipbuilding industry according to claim 9, characterized in that, The scheduling plan execution process also includes effect evaluation and parameter optimization: The actual load rate of the core bottleneck process, the actual adaptation degree of process connection, and the piece processing completion punctuality rate are collected regularly, and the collection period is 1 / 10 of the scheduling time window; If the processing completion punctuality rate is less than the preset punctuality threshold, the preset load threshold and the preset adaptation threshold are adjusted based on the actual load rate and the actual adaptation degree of process connection; the adjusted preset load threshold is the product of the original threshold and the ratio of the actual load rate, and the adjusted preset adaptation threshold is the product of the original threshold and the inverse ratio of the actual adaptation degree of process connection; The adjusted parameters are applied to subsequent scheduling plan generation, and the scheduling accuracy and execution efficiency are continuously optimized.