Task management-based maintenance tool quick access management method and system

Abstract

This invention relates to the field of warehouse layout optimization technology, and particularly to a method and system for rapid storage and retrieval management of maintenance tools based on task management. The method includes: acquiring tool requisition information and randomly generating multiple tool combination methods, calculating task correlations; analyzing the demand reduction index based on requisition frequency changes, and determining the degree of tool bias towards entrances and exits by combining requisition frequency, demand reduction index, and task correlations; calculating the loss saving degree of the current tool combination method under all arrangement methods, and determining whether the current arrangement is reasonable; if unreasonable, calculating the suitability of all arrangement methods based on the number of tools moved, the total moving distance, and the loss saving degree, and visually displaying the results to complete the management of rapid storage and retrieval of maintenance tools. This invention dynamically optimizes the storage location of tools through the demand reduction index and task correlations, reducing transportation losses, improving storage and management efficiency, and meeting the needs of high-efficiency warehousing.

Description

Technical Field

[0001] This invention relates to the field of warehouse layout optimization technology. In particular, it relates to a method and system for rapid storage and retrieval management of maintenance tooling based on task management. Background Technology

[0002] In the field of warehouse management for maintenance tools, with the dynamic changes in production tasks and the continuous improvement of efficiency requirements, optimizing warehouse layout has gradually become a key aspect of improving overall operational efficiency. By dynamically adjusting the layout of maintenance tools in the warehouse, it is possible to better adapt to changes in maintenance tasks, thereby achieving efficient resource utilization and effective cost control.

[0003] Dynamically arranging the layout of maintenance tooling in warehousing can significantly improve storage and retrieval efficiency and space utilization. By adjusting the layout in real time to adapt to changes in maintenance tasks, material handling time and routes can be reduced, labor costs can be lowered, and inventory turnover can be optimized. Dynamic layout also enhances flexibility, enabling rapid response to production plan adjustments or sudden demands, reducing idle resources, avoiding congestion and misplacement, thereby improving overall operational efficiency, reducing warehousing costs, and supporting lean manufacturing and continuous improvement.

[0004] However, traditional methods for arranging the storage layout of maintenance tools rely solely on the frequency of individual tools entering and leaving the warehouse, neglecting the transportation losses that occur when multiple tools are used together for the same maintenance task. This simplistic approach ignores the interrelationships between tools, resulting in excessively long storage and retrieval paths, increased transportation losses, and an inefficient layout that fails to meet the demands of modern production for efficient warehouse management. Summary of the Invention

[0005] To address the problems of traditional methods that rely solely on the inbound and outbound frequency of individual maintenance tools when arranging warehouse layouts, neglecting the transportation losses and interrelationships between multiple tools used for the same task, resulting in excessively long storage and retrieval paths, increased transportation losses, unreasonable layouts, and an inability to meet the demands of modern production for efficient warehouse management, this invention provides solutions in the following aspects.

[0006] In the first aspect, the task-management-based rapid access management method for maintenance tools includes: obtaining tool requisition information, randomly combining tools to generate multiple tool combination methods, and calculating the task association relationship of various tool combination methods; analyzing the tool demand reduction index based on changes in tool requisition frequency, and determining the degree of tool bias near the entrance / exit based on tool requisition frequency, demand reduction index, and task association relationship; calculating the loss saving degree of the current tool combination method under all arrangement methods, and judging whether the arrangement method at the current moment is reasonable; for unreasonable arrangement methods, calculating the suitability of all arrangement methods based on the number of tools that need to be moved, the total distance that each moved tool needs to move, and the loss saving degree, and visually displaying the suitability of different tool arrangement methods to complete the rapid access management of maintenance tools.

[0007] By acquiring tooling requisition information and randomly combining it, multiple tooling combination methods are generated. Task correlation is calculated, demand reduction index is analyzed, the weight of tooling near entrances and exits is determined, the rationality of the current arrangement is evaluated, and the appropriateness is calculated and visualized when it is unreasonable. This optimizes warehouse layout, reduces transportation losses, improves management efficiency, and meets the needs of modern production for efficient warehouse management.

[0008] Preferably, the step of obtaining the task association relationship includes:

[0009] Using the current time as the target time, and pre-setting the target time forward by several days as the analysis period, we obtain the number of times each tooling combination is used together and the corresponding time of use within the analysis period.

[0010] For each tooling combination, calculate the difference between all adjacent shared usage times, select the maximum difference, and normalize the product between the number of shared usages and the reciprocal of the maximum difference to obtain the task association relationship for each tooling combination.

[0011] By setting an analysis period, the number of times and time of common use of each tooling combination are obtained. The difference between adjacent use times is calculated and the maximum value is selected. The number of common use times is multiplied by the reciprocal of the maximum difference and then normalized. This quantifies the task association relationship of each tooling combination, provides data support for optimizing warehouse layout, and improves storage and retrieval efficiency.

[0012] Preferably, the calculation method for the demand reduction index includes:

[0013] Using the current time as the target time, the analysis period is set to the days prior to the target time. Several analysis periods are continuously obtained, and the usage frequency of each tool is obtained within these analysis periods. The difference in usage frequency between adjacent analysis periods is calculated, and the number of differences in usage frequency greater than 0 is counted. The product of the number of differences greater than 0 and the difference in usage frequency is used as the demand reduction index.

[0014] Preferably, the step of determining the degree of bias of the tooling near the entrance / exit includes:

[0015] Using the current time as the target time, count the number of tool combinations where the task association relationship of all tools is greater than a preset threshold at the target time;

[0016] The ratio between the product of the number of tooling combinations and the frequency of use, and the demand reduction index, is used as the degree of emphasis for each tooling near the entrance / exit.

[0017] Preferably, the method for calculating the degree of loss saving includes:

[0018] Taking the current time as the target time, obtain the tooling combination methods that include all tooling and whose task correlation is greater than a preset threshold at the target time, and obtain the average weight of all tooling near the entrance and exit in each tooling combination method.

[0019] Randomly arrange all arrangement methods of different tooling in the warehouse, calculate the shortest path length and the number of turning points in the transport direction of tooling in each arrangement method, and use the product of the shortest path length and the number of turning points in the transport direction as the loss value. Then, normalize the product of the loss value and the average of the weighting of each tooling combination method to obtain the degree of loss saving.

[0020] By identifying tooling combinations where the task correlation at a target time exceeds a preset threshold, the average weight distribution of tooling near entrances / exits in these combinations is calculated. Different tooling arrangements are randomly generated, and the product of the shortest path length and the number of transport direction turns for each arrangement is calculated as the loss value. This loss value is then normalized by multiplying it by the average weight distribution to obtain the loss saving rate. This process quantifies the loss saving rate under different arrangements, providing data support for optimizing warehouse layout, reducing transportation losses, and improving storage and retrieval efficiency.

[0021] Preferably, the method for calculating the suitability level includes:

[0022] The product of the number of tools that need to be moved and the total distance that each moved tool needs to move is multiplied by the reciprocal, and then normalized to obtain the suitability of all arrangement methods.

[0023] Preferably, determining whether the arrangement at the current moment is reasonable includes:

[0024] If the degree of loss saving is less than the preset loss threshold, then the current arrangement is problematic; otherwise, if it is greater than or equal to the preset loss threshold, then the current arrangement is reasonable.

[0025] Secondly, a task-management-based rapid access management system for maintenance tools includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the aforementioned task-management-based rapid access management method for maintenance tools is implemented.

[0026] The present invention has the following effects:

[0027] 1. This invention dynamically adjusts the storage location of tooling by comprehensively considering the frequency of tooling use, the demand reduction index, and the task correlation, ensuring that frequently used tooling combinations are close to entrances and exits, reducing the length of transportation paths and the number of directional turns, thereby significantly reducing transportation losses and improving storage and retrieval efficiency.

[0028] 2. By quantifying task relationships and loss-saving measures, this invention allows staff to more intuitively understand the usage of tooling combinations and the advantages and disadvantages of different arrangements, thereby enabling more effective warehouse management and decision-making. Regular analysis and adjustment of the layout ensure that the warehouse layout always adapts to changes in tooling usage, improving management flexibility and adaptability.

[0029] 3. This invention reduces the labor intensity of workers when storing and retrieving maintenance tools by enabling rapid storage and retrieval management, thereby improving work efficiency. The optimized warehouse layout and dynamic adjustment mechanism ensure the high efficiency and scientific nature of warehouse management, meeting the demands of modern production for efficient warehouse management. Attached Figure Description

[0030] Figure 1 This is a flowchart of steps S1-S3 in the task-based rapid access management method for maintenance tools according to an embodiment of the present invention.

[0031] Figure 2 This is a structural block diagram of the maintenance tooling rapid access management system based on task management, according to an embodiment of the present invention. Detailed Implementation

[0032] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0033] Reference Figure 1The task-management-based rapid access management method for maintenance tooling includes steps S1-S3, as detailed below:

[0034] S1: Obtain tooling requisition information, randomly combine tooling to generate multiple tooling combination methods, and calculate the task association relationship of each tooling combination method.

[0035] Information such as maintenance tools, recipients, task numbers, issuance times, and return times for each maintenance task is dynamically recorded to establish a complete ledger and stored in a database. This ensures the completeness and traceability of all maintenance task information, providing detailed data support for subsequent warehouse layout optimization.

[0036] The management system has access permissions to the maintenance tool storage and retrieval ledger to obtain information on the requisition of different tools, such as requisition time and quantity, which serves as a data reference for the warehouse layout optimization algorithm.

[0037] All tooling in the warehouse is randomly combined to obtain multiple tooling combinations, with the requirement that no two combinations are repeated, and the current time is taken as the target time. In this embodiment, the target time is obtained. Preset tooling combination method within 30 days The number of times the items were jointly claimed And the corresponding times when multiple items are jointly requisitioned.

[0038] For each tooling combination method Calculate the difference between all adjacent shared usage times, select the largest difference, and normalize the product between the number of shared usages and the reciprocal of the largest difference to obtain the task association relationship for each tooling combination method.

[0039] Specifically, the task relationships satisfy the subordinate relation formula:

[0040] ;

[0041] In the formula, Indicates the first The first moment Task association relationships for each tooling combination method Indicates the first The first moment The number of times each tooling combination is used together indicates that the tooling is used together more frequently in the task and that the task is more related. Indicates the first The first moment The maximum time interval between adjacent shared requisition times for each tooling combination is considered. A smaller time interval indicates more frequent use of these tools in the task and a stronger task correlation. The maximum-minimum normalization method is used to further analyze... After normalization, we get Its range is [0,1].

[0042] In other words, by identifying task relationships, it's possible to determine which tooling combinations are frequently used together in a task, thereby optimizing warehouse layout by placing these tooling combinations near entrances and exits to reduce transportation losses. Staff can also gain a more intuitive understanding of tooling combination usage, leading to more effective warehouse management and decision-making.

[0043] S2: Based on the changes in tooling usage frequency, analyze the tooling demand reduction index. Based on the tooling usage frequency, demand reduction index, and task correlation, determine the degree of tooling bias near the entrance / exit. Calculate the loss saving degree of the current tooling combination under all arrangement methods, and determine whether the current arrangement method is reasonable.

[0044] Using the current time as the target time, the analysis period is set back by a preset number of days. Several analysis periods are continuously acquired, and the usage frequency of each tooling within these periods is obtained. Calculate the difference in usage frequency between adjacent analysis time periods, and count the number of times the difference in usage frequency is greater than 0. The product of the number of items greater than 0 and the difference in usage frequency is used as the demand reduction index.

[0045] Specifically, in this embodiment, the analysis period is preset to 30 days prior to the target time, and data is continuously acquired. Each analysis period It can be adjusted according to the specific circumstances.

[0046] It should be noted that the purpose of counting the number of instances where the difference in usage frequency exceeds the preset threshold of 0 is to quantify the continuous usage of chemical equipment. The demand growth trend within a specific time period. Specifically, the number of times the frequency of tooling requisition increases between adjacent time periods helps determine whether the demand for tooling is gradually increasing. When, it indicates that at If the frequency of tooling use is higher in one period than in the previous period, it means that demand is increasing; conversely, if the frequency is lower, it means that demand is stabilizing or decreasing.

[0047] If the demand for tooling is increasing, in order to improve storage and retrieval efficiency and reduce transportation losses, these tools should be placed near the warehouse entrance and exit. If the demand for tooling is decreasing, in order to optimize warehouse space utilization, these tools should be moved deeper into the warehouse to make room for tooling with increased demand.

[0048] By periodically counting the number of items with a requisition frequency difference greater than 0, the storage location of tooling can be dynamically adjusted to adapt to changes in tooling demand. This method can flexibly respond to fluctuations in tooling demand, improving the efficiency and adaptability of warehouse management.

[0049] Using the current time as the target time, count the number of tool combinations where the task association relationship of all tooling at the target time is greater than a preset threshold of 0.8;

[0050] The ratio between the product of the number of tooling combinations and the frequency of use, and the demand reduction index, is used as the degree of emphasis for each tooling near the entrance / exit.

[0051] It should be noted that task association represents tooling. The frequency and degree of joint use with other tooling in a task indicate the high degree of relevance and frequent use of the tooling in the task. A stronger task correlation suggests a high degree of relevance and frequent use of the tooling, indicating future demand for it. The demand may persist or even increase, which helps identify which tooling is frequently used together in actual operation, thus forming a stable tooling combination.

[0052] Placing frequently used tools near entrances and exits can significantly reduce workers' walking time and labor intensity when retrieving tools, thereby improving work efficiency. Optimizing tool storage locations reduces transport path length and the number of directional turns, lowering the risk of loss and damage during transportation.

[0053] Further analysis reveals that the placement of various tooling items in the warehouse should not only consider the ease of access for individual tools but also the overall situation to minimize losses during storage and transportation. The specific steps are as follows:

[0054] Taking the current time as the target time, obtain the tooling combination methods that include all tooling and whose task correlation is greater than a preset threshold of 0.8. Each tooling combination method contains the degree of bias of multiple toolings near the entrance and exit. Obtain the average value of the degree of bias of all toolings near the entrance and exit in each tooling combination method.

[0055] Randomly arrange all arrangement methods of different tooling in the warehouse, calculate the shortest path length and the number of turning points in the transport direction of tooling in each arrangement method, and use the product of the shortest path length and the number of turning points in the transport direction as the loss value. Then, normalize the product of the loss value and the average of the weighting of each tooling combination method to obtain the degree of loss saving.

[0056] Specifically, the degree of loss saving satisfies the following relationship:

[0057] ;

[0058] In the formula, Indicates the first The first moment The tooling combination method in the first The degree of cost savings under each arrangement method Indicates the first The first moment The average weight distribution of all tooling fixtures near the entrance / exit in each tooling combination method. Indicates the first In the tooling combination method, the first The shortest path length for each arrangement. Indicates the first In the tooling combination method, the first The number of times the transportation direction changes for each arrangement method.

[0059] In other words, the shortest path length represents the shortest physical distance between two locations within the warehouse for the tooling. The number of transport direction turns indicates the number of times the direction needs to be changed during transport. The product of the shortest path length and the number of transport direction turns comprehensively reflects the time and effort spent during transport. The longer the path or the more directional turns, the greater the time and effort spent during transport. By reducing the shortest path length and the number of transport direction turns, the walking time and labor intensity when transporting tooling can be comprehensively assessed, thereby improving work efficiency.

[0060] When tooling combination method A greater emphasis on proximity to entrances and exits, coupled with a smaller shortest path length and fewer transport direction turns within the arrangement, indicates a higher tooling usage frequency and a closer storage location to the warehouse entrances and exits. This arrangement results in shorter transport paths and fewer directional turns for the tools, leading to less transport loss. This arrangement better aligns with the requirement that frequently used tools should be located near entrances and exits to significantly reduce transport losses.

[0061] S3: In cases where the arrangement is unreasonable, the suitability of all arrangement methods is calculated based on the number of tools that need to be moved, the total distance that each moved tool needs to be moved, and the degree of loss saving. The suitability of different tool arrangement methods is then visualized to complete the management of rapid access to maintenance tools.

[0062] The product of the number of tools that need to be moved and the total distance that each moved tool needs to move is multiplied by the reciprocal, and then normalized to obtain the suitability of all arrangement methods.

[0063] By combining the transportation losses and savings from tooling relocation, the suitability of possible arrangements is comprehensively assessed. Based on current tooling usage and changing demands, the storage location of tooling is dynamically adjusted to ensure optimized warehouse layout. Selecting the optimal arrangement reduces transportation losses from tooling relocation, improving warehouse management efficiency. It also reduces the labor intensity of workers moving tooling, increasing work efficiency.

[0064] If the degree of loss saving is less than the preset loss threshold of 0.6, then there is a problem with the current arrangement. Conversely, if it is greater than or equal to the preset loss threshold, then the current arrangement is reasonable.

[0065] In other words, the rapid access management system for maintenance tools analyzes the rationality of tool allocation at various times, identifying suitable allocation methods for unreasonable times. Tool requisition data and allocation suitability are transmitted to the database. The warehouse layout is analyzed every other day; if it is unreasonable, an SQL (Structured Query Language) query is used to obtain its suitability level, which is then presented to staff in tabular form for reference in optimizing the maintenance tool storage layout. SQL is the core language of Relational Database Management Systems (RDBMS) and is widely used in various database systems.

[0066] This invention significantly improves storage and retrieval efficiency and space utilization by dynamically arranging the warehouse layout of maintenance tools. It obtains the task relationships between different tools based on historical maintenance task records and determines changes in maintenance needs based on changes in tool usage frequency. Simultaneously, it considers the placement relationships of related tools in the layout and obtains appropriate tool arrangement adjustment methods based on transportation losses from the original storage location to the new location. This achieves efficient and flexible warehouse management, reduces labor and storage costs, and supports lean production and continuous improvement.

[0067] This invention also provides a task-management-based rapid access management system for maintenance tooling. For example... Figure 2 As shown, the system includes a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement the task-management-based rapid access management method for maintenance tooling according to the first aspect of the present invention. The system also includes other components well-known to those skilled in the art, such as a communication bus and a communication interface, the settings and functions of which are known in the art and will not be described further here.

[0068] It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept, and these all fall within the scope of protection of this invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for managing the quick access of a maintenance tool based on task management, characterized in that, The method comprises the following steps: Obtain the use information of the tooling, randomly combine the tooling, generate multiple tooling combination modes, and calculate the task association relationship of each tooling combination mode; Based on the change of the use frequency of the tooling, analyze the demand reduction index of the tooling, and determine the bias degree of the tooling near the entrance according to the use frequency of the tooling, the demand reduction index and the task association relationship; Calculate the loss saving degree of the current tooling combination mode under all arrangement modes, and determine whether the arrangement mode at the current time is reasonable; Take the current time as a target time, set the target time as an analysis time period, and continuously obtain a plurality of analysis time periods, obtain the use frequency of each tooling in the plurality of analysis time periods, calculate the difference value of the use frequency of adjacent analysis time periods, count the number of use frequency difference values greater than 0, and take the product of the number greater than 0 and the use frequency difference value as the demand reduction index; Take the current time as a target time, and count the number of tooling combination modes whose task association relationship is greater than a preset threshold at the target time; Obtain the bias degree of each tooling near the entrance by taking the ratio between the product of the number of tooling combination modes and the use frequency and the demand reduction index; Take the current time as a target time, obtain the tooling combination mode containing each tooling and having a task association relationship greater than a preset threshold at the target time, and obtain the average value of the bias degree of each tooling near the entrance in each tooling combination mode; Randomly arrange all arrangement modes of different toolings in the warehouse, calculate the shortest path length and the number of transportation direction changes of the tooling in the tooling combination mode during one transportation, take the product of the shortest path length and the number of transportation direction changes as the loss value, and take the product of the loss value and the average value of the bias degree of each tooling combination mode for normalization to obtain the loss saving degree; For the case that the arrangement mode is unreasonable, calculate the suitability of all arrangement modes based on the number of toolings that need to be moved and the total distance of each moved tooling, and visually display the suitability of different tooling arrangement modes to complete the management of the rapid access of the tooling for maintenance; Take the product of the number of toolings that need to be moved and the total distance of each moved tooling, take the reciprocal, multiply by the loss saving degree, and then normalize to obtain the suitability of all arrangement modes.

2. The task management-based access management method of the maintenance tooling according to claim 1, characterized in that, The step of obtaining the task association relationship comprises: Take the current time as a target time, set the target time as an analysis time period, and obtain the common use frequency and the corresponding common use time of each tooling combination mode in the analysis time period; For each tooling combination mode, calculate the difference value of all adjacent common use times, select the maximum difference value, and take the product of the common use frequency and the reciprocal of the maximum difference value for normalization to obtain the task association relationship of each tooling combination mode.

3. The task management-based access management method of claim 1, wherein, The step of determining whether the arrangement mode at the current time is reasonable comprises: If the loss saving degree is less than a preset loss threshold, the arrangement mode at the current time has a problem, otherwise, the arrangement mode at the current time is reasonable.

4. The management system for the quick access of the maintenance tooling based on the task management, characterized in that, The method comprises the following steps: A processor and a memory, the memory storing computer program instructions which, when executed by the processor, implement the task management-based rapid access management method for an overhaul tooling according to any one of claims 1-3.

Images