Garment hanging production line disturbance accumulation scheduling method

Abstract

The invention discloses a disturbance accumulation scheduling method for a garment hanging production line, and relates to the technical field of garment production scheduling, and the method comprises the steps: firstly, judging the relation between the number of finished semi-finished products at a station and the total number, and calculating the delayed processing time and an accumulated value; calculating fault-tolerant time, and judging whether to rescheduling according to the relationship between the accumulated delay and the fault-tolerant time; traversing stations, and screening schedulable stations according to skill conditions of equipment and employees; for the stations meeting the conditions, the optimal priority is selected according to multi-dimensional judgment priorities such as the number of clothes hangers in a buffer area and the average processing time; according to the method, accurate triggering scheduling, scientific decision making and dynamic regulation guarantee that the production line is stable and efficient, an effective scheme is provided for disturbance resistance of the garment hanging production line, and the method is suitable for production scenes with explicit and implicit disturbance.

Description

Technical Field

[0001] This invention relates to a scheduling method, and more specifically, to a disturbance accumulation scheduling method for a garment hanging production line, belonging to the field of garment production scheduling technology. Background Technology

[0002] In actual production, garment hanging production lines face both explicit and implicit disturbances, such as worker absences, equipment malfunctions, and material shortages, as well as implicit disturbances like worker fatigue and operational time deviations. Ideal initial static work scheduling schemes are insufficient to address the uncertainties of actual production. While the timing of explicit disturbances is easily identifiable, and related scheduling studies are plentiful, implicit disturbances are varied and complex, accumulating gradually, and their close inter-process connections exacerbate the problem. Initially, the accumulation of implicit disturbances has limited impact on the production plan; however, once a critical point is reached, the production state deviates significantly from the initial scheduling plan, necessitating a rescheduling strategy. However, the threshold for triggering rescheduling due to implicit disturbances is ambiguous, easily leading to scheduling misjudgments or delayed responses, resulting in economic losses for the company. Therefore, accurately defining the timing of rescheduling and adopting appropriate rescheduling strategies are crucial requirements for garment hanging production lines to cope with accumulated disturbances. Summary of the Invention

[0003] The purpose of this invention is to focus on the problem of cumulative disturbance scheduling in garment hanging production lines and to construct a complete scheduling method.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0005] This invention discloses a method for cumulative scheduling of disturbances in a garment hanging production line, comprising the following steps:

[0006] Step 1: Determine the number of semi-finished parts U that have been completed at workstation j. j Is U less than the total number of semi-finished products p that need to be processed? j If p = , proceed to step six; otherwise, record the actual processing time for each semi-finished product from piece a to piece a+q-1 at workstation j, and calculate the delayed processing time t for each piece. yij =t sij -CT, where CT is the production line cycle time; and calculates the cumulative delayed processing time for workstation j processing the a-th to a+q-1-th semi-finished products. Where t tran The transport time to the next workstation; t saj It is the actual processing time when workstation j processes the a-th semi-finished product;

[0007] Step 2: Calculate the tolerance time T for the station where the subsequent processing step is located. R =CT·m, where m is the number of hangers in the buffer zone, and the cumulative delayed processing time T is determined. YDoes it exceed the tolerance time T of the station where the subsequent process is located? R That is, through Determine the value of the scheduling decision coefficient δ; if δ = 1, proceed to step three to determine the scheduling conditions; otherwise, do not perform rescheduling and return to step one; where δ is the scheduling decision coefficient.

[0008] Step 3: Traverse all workstations and determine if there are any workstations that meet the scheduling conditions, including equipment requirements and worker skill requirements;

[0009] Equipment requirements: The workstation should initially be fixed with 1-2 different types of equipment. After scheduling, the equipment types assigned to the workstation should include the equipment required for the rescheduled process.

[0010] Employee skill requirements: Worker skills are divided into three levels: A, B, and C, arranged from highest to lowest, following the principle of downward compatibility. The skill level of workers at the rescheduled workstation must not be lower than the skill level required for the rescheduled process. After the traversal is completed, if there is a workstation that meets the scheduling conditions, proceed to step four; otherwise, return to step one.

[0011] Step 4: Determine if the number of workstations meeting the scheduling conditions is equal to 1. If it is equal to 1, proceed directly to Step 5; otherwise, determine the scheduling priority for all workstations meeting the scheduling conditions, following these steps:

[0012] Prioritize scheduling to the workstation with the fewest coat hangers in the buffer zone;

[0013] If the number of clothes hangers in the buffer zone is the same, priority will be given to scheduling to the workstation with the shortest average actual processing time;

[0014] If the average actual processing time is the same, priority will be given to scheduling to the workstation with the lowest equipment failure rate;

[0015] If the equipment failure rates are the same, prioritize scheduling to the workstation with the shortest transportation time on the hanging production line; select the most suitable workstation according to the scheduling priority, and proceed to step five;

[0016] Step 5: Complete the cumulative disturbance rescheduling for workstation j and call up workstation U. j =U j -q, k = k + 1, where k is the number of times workstation j triggers rescheduling, and the data is transferred to workstation U. j =U j +q, return to step one, and continue processing the semi-finished product;

[0017] Step 6: Once all semi-finished products at workstation j have been processed, the scheduling process ends.

[0018] Preferably, in step one, q represents the number of semi-finished products in each rotating package.

[0019] Preferably, in step two, the value of δ is used to determine whether to reschedule. When δ = 1, it indicates that the cumulative impact of disturbance on workstation j exceeds the threshold, and reschedule is required.

[0020] Preferably, the principle of downward compatibility of employee skills in step three is as follows: A-level workers can perform the work processes of B or C-level workers, and B-level workers can perform the work processes of C-level workers.

[0021] Preferably, the scheduling priority determination in step four is to select the optimal workstation from multiple workstations that meet the scheduling conditions for scheduling.

[0022] Preferably, after the rescheduling is completed in step five, the process returns to step one to continuously monitor and adjust the production line processing.

[0023] The present invention relates to an application of a disturbance accumulation scheduling method for a garment hanging production line, characterized in that it can be applied to production scheduling scenarios where garment hanging production lines are affected by explicit and implicit disturbances, and ensures the stable and efficient operation of the production line by monitoring and scheduling the accumulation of disturbances.

[0024] Beneficial effects: 1) Precisely triggered scheduling: By setting a disturbance accumulation threshold judgment rule, the timing of rescheduling is accurately identified when the disturbance accumulates to exceed the fault tolerance time, avoiding production stoppage due to misjudgment or lag, ensuring stable operation of the production line and reducing economic losses.

[0025] 2) Scientific scheduling decision-making: Clearly define scheduling conditions from both equipment requirements and employee skill requirements to ensure scheduling feasibility; Multi-dimensional scheduling priority determination (number of coat hangers in the buffer zone, average actual processing time, equipment failure rate, and transportation time of the hanging production line) can select the best among multiple optional workstations, thereby improving scheduling rationality and production efficiency.

[0026] 3) Dynamic and continuous control: The scheduling process is executed in cycles. After completing one rescheduling, it returns to the initial judgment step, continuously monitoring and adjusting the production line processing process to adapt to dynamic disturbances in production, ensuring efficient and orderly production, and providing effective scheduling methods and theoretical support for the anti-disturbance of garment hanging production lines. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the scheduling process of the present invention. Detailed Implementation

[0028] 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.

[0029] The method of the present invention will be described in detail below in conjunction with the actual production scenario of a garment hanging production line:

[0030] 1. Parameter settings and initial conditions:

[0031] Suppose a garment hanging production line is considered as one processing unit, containing W processing stations and N workers, with station numbers j = 1, 2, ..., W. One order style is considered one processing task, completed through k processes. The standard time for process i is t. i The corresponding processing equipment is M i The parameters such as production line cycle time CT, number of hangers in the buffer zone m, number of semi-finished parts q in each rotation package, and total number of semi-finished products to be processed p (specific parameters are shown in the table below) are set according to actual production needs.

[0032]

[0033] Initially, the production line operates normally according to the initial work arrangement plan. There are enough hangers in the buffer zone of each workstation and no products are piled up. The workers have roughly the same level of skill and proficiency in each work process and can skillfully complete any process.

[0034] 2. Scheduling process execution

[0035] Step 1: Initial Judgment and Data Calculation: Assume station j = 1, the total number of semi-finished products to be processed p = 100, and the number of completed semi-finished products U1 = 30 < p. Then record the processing time t for each semi-finished product at station 1 from the a = 10th piece to the a + q - 1 = 14th piece (assuming q = 5). saj If the production line cycle time CT = 5 minutes / piece, the actual processing time t for a certain piece is... sa10 =6, then the delay processing time t sy10 =6-5=1, calculate the delayed processing time for each item in this interval, and calculate the cumulative delayed processing time. (Assume t) tran =1 minute), to obtain T Y Specific numerical values.

[0036] Step 2: Calculation and Scheduling of Fault Tolerance Time: Calculate the fault tolerance time T of the workstation where the subsequent process is located. R =CT·m, if m=3, then T R=5 × 3 = 15 minutes. The calculated T Y With T R Comparison, T Y =16>15, then δ=1, proceed to step three; if T Y If ≤15, then δ=0, return to step one to continue processing.

[0037] Step 3: Determine Scheduling Conditions: Iterate through all workstations and check equipment requirements and employee skill requirements. For example, workstation 2 initially has the equipment required for the rescheduled process, and the worker's skill level is A, meeting the skill level required for the rescheduled process (assuming the rescheduled process requires skill level B or above). Therefore, workstation 2 meets the scheduling conditions. If workstation 3 does not have the required equipment, or the worker's skill level is C (lower than the required B), then it does not meet the conditions. After iterating through all workstations and confirming that there are workstations that meet the conditions (such as workstation 2), proceed to Step 4.

[0038] Step 4: Determine scheduling priority: If there are multiple workstations that meet the scheduling conditions, such as workstation 2 and workstation 4, first compare the number of hangers in the buffer. Assuming that workstation 2 has 2 hangers in the buffer and workstation 4 has 3, then workstation 2 is selected first. If the number of hangers is the same, compare the average actual processing time, and so on, to determine the optimal scheduling workstation as workstation 2, and then proceed to step 5.

[0039] Step 5: Rescheduling and Looping: Complete the cumulative rescheduling of disturbances at workstation 1, remove workstation U1 = 30 - 5 = 25, k = k + 1 (assuming initial k = 0, then it becomes 1), remove workstation U2 = U2 + 5, and then return to step 1 to continue scheduling, monitoring and adjusting the subsequent semi-finished product processing.

[0040] Step Six: End Judgment: When the U of workstation j... j When p=100, all semi-finished products at this workstation are completed, and the scheduling process ends.

[0041] Finally, it should be noted that the present invention is not limited to the above embodiments, and many variations are possible. All variations that can be directly derived or conceived by those skilled in the art from the disclosure of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for cumulative scheduling of disturbances in a garment hanging production line, characterized in that, Includes the following steps: Step 1: Determine the number of semi-finished parts U that have been completed at workstation j. j Is U less than the total number of semi-finished products p that need to be processed? j If p = , proceed to step six; otherwise, record the actual processing time for each semi-finished product from piece a to piece a+q-1 at workstation j, and calculate the delayed processing time t for each piece. yij =t sij -CT, CT stands for assembly line cycle time; And calculate the cumulative delayed processing time for processing the a-th to a+q-1-th semi-finished products at station j. Where t tran The transport time to the next workstation; t saj It is the actual processing time when station J processes the a-th semi-finished product; Step 2: Calculate the tolerance time T for the station where the subsequent processing step is located. R =CT·m, where m is the number of hangers in the buffer zone, and the cumulative delayed processing time T is determined. Y Does it exceed the tolerance time T of the station where the subsequent process is located? R That is, through Determine the value of the scheduling decision coefficient δ; if δ = 1, proceed to step three to determine the scheduling conditions; otherwise, do not perform rescheduling and return to step one; where δ is the scheduling decision coefficient. Step 3: Traverse all workstations and determine if there are any workstations that meet the scheduling conditions, including equipment requirements and worker skill requirements; Equipment requirements: The workstation should initially be fixed with 1-2 different types of equipment. After scheduling, the equipment types assigned to the workstation should include the equipment required for the rescheduled process. Employee skill requirements: Worker skills are divided into three levels: A, B, and C, arranged from highest to lowest, following the principle of downward compatibility. The skill level of workers at the rescheduled workstation must not be lower than the skill level required for the rescheduled process. After the traversal is completed, if there is a workstation that meets the scheduling conditions, proceed to step four; otherwise, return to step one. Step 4: Determine if the number of workstations meeting the scheduling conditions is equal to 1. If it is equal to 1, proceed directly to Step 5; otherwise, determine the scheduling priority for all workstations meeting the scheduling conditions, following these steps: Prioritize scheduling to the workstation with the fewest coat hangers in the buffer zone; If the number of clothes hangers in the buffer zone is the same, priority will be given to scheduling to the workstation with the shortest average actual processing time; If the average actual processing time is the same, priority will be given to scheduling to the workstation with the lowest equipment failure rate; If the equipment failure rates are the same, prioritize scheduling to the workstation with the shortest transportation time on the hanging production line; select the most suitable workstation according to the scheduling priority, and proceed to step five; Step 5: Complete the cumulative disturbance rescheduling for workstation j and call up workstation U. j =U j -q, k = k + 1, where k is the number of times workstation j triggers rescheduling, and the data is transferred to workstation U. j =U j +q, return to step one, and continue processing the semi-finished product; Step 6: Once all semi-finished products at workstation j have been processed, the scheduling process ends.

2. The method for cumulative scheduling of disturbances in a garment hanging production line according to claim 1, characterized in that, In step one, q represents the number of semi-finished products in each rotation package.

3. The method for cumulative scheduling of disturbances in a garment hanging production line according to claim 1, characterized in that, In step two, the value of δ is used to determine whether to reschedule. When δ = 1, it indicates that the cumulative impact of disturbance on workstation j exceeds the threshold and reschedule is required.

4. The method for cumulative scheduling of disturbances in a garment hanging production line according to claim 1, characterized in that, The principle of downward compatibility of employee skills in step three is as follows: A-level workers can perform the work processes of B or C-level workers, and B-level workers can perform the work processes of C-level workers.

5. The method for cumulative scheduling of disturbances in a garment hanging production line according to claim 1, characterized in that, The scheduling priority determination in step four is to select the optimal workstation from multiple workstations that meet the scheduling conditions for scheduling.

6. The method for cumulative scheduling of disturbances in a garment hanging production line according to claim 1, characterized in that, After the rescheduling is completed in step five, the process returns to step one to continuously monitor and adjust the production line processing.

7. The application of the disturbance accumulation scheduling method for a garment hanging production line as described in any one of claims 1-6, characterized in that, It can be applied to production scheduling scenarios in garment hanging production lines affected by explicit and implicit disturbances, and ensures the stable and efficient operation of the production line by monitoring and scheduling the accumulation of disturbances.

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