Integrated warehousing logistics personnel equipment investment estimation decision support method

Abstract

The application discloses an integrated warehouse logistics personnel equipment input estimation decision support method, relates to the technical field of intelligent warehouse logistics, and comprises the following steps: acquiring historical throughput, current inventory, order to be processed and planned business activity type data of a target warehouse logistics area; obtaining predicted throughput of each time unit in a target estimation period, correcting the predicted throughput, combining a preset work hour quota data table, calculating baseline personnel work hour demand and baseline equipment work hour demand; converting the baseline equipment work hour demand and the baseline personnel work hour demand into theoretical equipment input quantity and theoretical personnel input quantity of each time unit respectively, matching the theoretical equipment input quantity and the theoretical personnel input quantity with actual available equipment quantity and actual available personnel quantity, and generating an equipment time-sharing deployment plan and a personnel time-sharing scheduling plan. The application can improve the accuracy and matching of resource input estimation, reduce resource idling, and improve the operation efficiency and resource utilization level of a warehouse logistics system.

Description

Technical Field

[0001] This invention relates to the field of smart warehousing and logistics technology, and in particular to an integrated warehousing and logistics personnel and equipment input calculation and decision support method. Background Technology

[0002] With the development of e-commerce, high-frequency instant delivery, and intelligent manufacturing, warehousing and logistics systems are gradually exhibiting characteristics of high throughput, multiple product categories, and significant dynamic fluctuations. Warehousing operations are evolving from a traditional manual experience-driven model to a data-driven and intelligent decision-making model. Existing warehouse management systems typically achieve inventory management, order management, and operation execution control, and allocate and monitor operational tasks through warehouse management systems and warehouse execution systems. Meanwhile, some advanced systems have introduced throughput prediction models based on historical business data, combined with time quotas or operational efficiency indicators, to make preliminary estimates of personnel allocation or equipment scheduling. Furthermore, with the widespread application of automated equipment such as automated guided vehicles, stacker cranes, and conveyor systems, warehousing systems are gradually forming a "human-machine collaborative" composite operation mode. This places higher demands on the accuracy and dynamic adaptability of personnel and equipment collaborative input calculations, making resource input calculation and decision support technologies based on multi-source data fusion an important development direction in the field of smart warehousing.

[0003] However, existing technologies still have significant shortcomings in the calculation of personnel and equipment input. On the one hand, most resource allocation methods rely solely on static estimations based on historical average throughput or fixed empirical parameters, failing to comprehensively consider multi-dimensional influencing factors such as current inventory status, dynamic changes in pending orders, and future business activity plans. This leads to discrepancies between throughput forecasts and actual operational needs, thus affecting the rationality of personnel and equipment input. On the other hand, existing technologies typically calculate personnel and equipment configurations separately, lacking a unified mechanism for converting work hour requirements. They also fail to establish a correlation model between personnel and equipment work hour requirements based on unified throughput forecasts, making it difficult to achieve coordinated and optimized allocation of personnel and equipment resources. Furthermore, during resource allocation, existing technologies rarely consider dynamic demand changes in different time units within the target calculation period, lacking a time-segmented resource input calculation and matching mechanism. This results in time-segmented redundancy or insufficiency in resource input, reducing the overall operational efficiency and resource utilization of the warehousing system, and hindering the improvement of refined management and intelligent decision-making capabilities in the warehousing and logistics system. Summary of the Invention

[0004] In view of the problems existing in existing integrated warehousing and logistics personnel and equipment input calculation and decision support methods, this invention is proposed. Therefore, the problem to be solved by this invention is how to provide an integrated warehousing and logistics personnel and equipment input calculation and decision support method.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides an integrated warehousing and logistics personnel and equipment input calculation and decision support method, which includes: acquiring historical throughput, current inventory, pending order volume and planned business activity type data of the target warehousing and logistics area; The predicted throughput for each time unit within the target calculation period is obtained by weighting the historical average throughput, current inventory, and pending orders. The predicted throughput is then adjusted according to the planned business activity type. Combined with the preset time quota data table, the baseline man-hour requirement and baseline equipment time requirement for each time unit within the target calculation period are calculated. Based on the preset equipment configuration list and personnel configuration list, the baseline equipment working hours requirement and the baseline personnel working hours requirement are converted into the theoretical number of equipment units and the theoretical number of personnel to be put into each time unit. These are then matched with the actual number of available equipment units and the actual number of available personnel to generate an equipment time-sharing allocation plan and a personnel time-sharing scheduling plan, which are then sent to the management terminal for display.

[0006] As a preferred embodiment of the integrated warehousing and logistics personnel and equipment input calculation and decision support method of the present invention, wherein: obtaining the predicted throughput of each time unit within the target calculation period includes: The historical throughput sequence is statistically processed to calculate the historical average throughput for each time unit within the target measurement period, thus forming a historical average throughput sequence. Based on the historical average throughput sequence, the time distribution sequence of pending orders, and the current total inventory, the predicted throughput for each time unit is calculated, as follows: ; In the formula: Indicates the time unit within the target measurement period The predicted throughput; Representing time units The corresponding historical average throughput for the same period; This represents the number of orders to be processed corresponding to time unit t; This indicates the impact of the current total inventory on the inventory level after being allocated to a unit of time based on the target calculation period; , and This represents the weighting coefficients for historical throughput, order impact, and inventory impact.

[0007] As a preferred embodiment of the integrated warehousing and logistics personnel and equipment input calculation and decision support method of the present invention, the step of adjusting the predicted throughput according to the planned business activity type includes: Based on the time distribution sequence of business activity types, identify the type of business activity for each time unit; Based on the preset work intensity coefficient corresponding to the business activity type, the predicted throughput is corrected to form a business-corrected predicted throughput sequence.

[0008] As a preferred embodiment of the integrated warehousing and logistics personnel and equipment input calculation and decision support method of the present invention, wherein:

[0009] As a preferred embodiment of the integrated warehousing and logistics personnel and equipment input calculation and decision support method of the present invention, the baseline personnel man-hour requirements and baseline equipment man-hour requirements for each time unit within the calculation target calculation period include: Establish a time quota data table to link the unit throughput personnel time quota and equipment time quota corresponding to different business activity types; For each time unit, based on the business-adjusted forecast throughput and business activity type, extract the unit throughput personnel hour quota and unit throughput equipment hour quota from the hour quota data table, calculate the baseline personnel hour requirement and baseline equipment hour requirement, expressed as: ; ; In the formula: Representing time units The baseline employee working hours required; Representing time units The baseline equipment time requirements; Representing time units Business-adjusted forecast throughput; Representing time units Unit throughput per person-hour quota for the corresponding business activity type; Representing time units Equipment man-hour quota per unit throughput for the corresponding business activity type; Arrange the baseline man-hour requirements and baseline equipment man-hour requirements for each time unit in chronological order to form the man-hour requirement sequence and equipment man-hour requirement sequence within the target calculation period.

[0010] As a preferred embodiment of the integrated warehousing and logistics personnel and equipment input calculation and decision support method of the present invention, the step of converting the baseline equipment working hour requirement and the baseline personnel working hour requirement into the theoretical number of equipment units and the theoretical number of personnel input for each time unit includes: Establish an equipment configuration list, register all available equipment in the warehousing and logistics area, and record the standard working hours of each piece of equipment within a unit time unit to form a set of equipment unit time operation capacity parameters; Establish a personnel configuration list, register all available personnel in the warehousing and logistics area, and record the standard working hours of each personnel within a unit of time, forming a set of personnel unit time working capacity parameters; Based on the equipment time demand sequence and the set of equipment unit time operation capacity parameters, the theoretical number of equipment units to be put into operation in each time unit is calculated, expressed as: ; In the formula: Representing time units The theoretical number of units of equipment put into operation; This represents the standard operating hours of a single piece of equipment within a unit of time. Based on the personnel work hour demand sequence and the set of personnel work capacity parameters per unit time, the theoretical number of personnel to be deployed in each time unit is calculated, expressed as: ; In the formula: Representing time units The number of theoretical personnel involved; This represents the standard working hours of a single person within a unit of time.

[0011] As a preferred embodiment of the integrated warehousing and logistics personnel and equipment input calculation and decision support method of the present invention, the generation of equipment time-sharing allocation plan and personnel time-sharing scheduling plan includes: Obtain the actual number of available equipment and personnel; For each time unit, the theoretical number of equipment to be put into use is matched with the actual number of available equipment: if the theoretical number of equipment to be put into use is less than or equal to the actual number of available equipment, the corresponding number of equipment is allocated to that time unit. If the theoretical number of equipment to be put into operation is greater than the actual number of available equipment, then all available equipment will be allocated to that time unit and the equipment demand gap will be recorded. For each time unit, the theoretical number of personnel to be deployed is matched with the actual number of available personnel: if the theoretical number of personnel to be deployed is less than or equal to the actual number of available personnel, the corresponding number of personnel is allocated to that time unit; if the theoretical number of personnel to be deployed is greater than the actual number of available personnel, all available personnel are allocated to that time unit, and the personnel demand gap is recorded. Based on the time unit sequence, the equipment allocation results of each time unit are integrated to form an equipment time-sharing deployment plan sequence, and the personnel allocation results of each time unit are integrated to form a personnel time-sharing shift plan sequence.

[0012] In a second aspect, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of an integrated warehousing and logistics personnel and equipment input calculation and decision support method.

[0013] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements the steps of an integrated warehousing and logistics personnel and equipment input calculation and decision support method.

[0014] The beneficial effects of this invention are as follows: By constructing a predictive throughput model, the invention enables the calculation results to reflect the dynamic changes in warehousing operation load; by quantifying throughput demand into personnel and equipment time requirements through time quotas, it achieves a standardized mapping of business load to resource demand; and by combining actual resource allocation lists for time-sharing matching and allocation, it forms personnel scheduling and equipment allocation plans adapted to operational needs, improving the accuracy and matching of resource input calculations, reducing resource idleness and shortages, enhancing the operational efficiency and resource utilization level of the warehousing and logistics system, and strengthening the scientific nature and feasibility of management decisions. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A flowchart for a decision support method for calculating personnel and equipment input in integrated warehousing and logistics. Detailed Implementation

[0017] To make the above-mentioned objects, features, and advantages of the present invention more readily understood, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0018] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0020] Reference Figure 1 This is the first embodiment of the present invention, which provides an integrated warehousing and logistics personnel and equipment input calculation and decision support method, including: S1: Obtain historical throughput, current inventory, pending order volume, and planned business activity type data for the warehousing and logistics area; S2: Calculate the predicted throughput based on the historical average throughput, current inventory and pending orders, and adjust according to the business activity type. Combine the time quota data table to calculate the benchmark man-hour demand and benchmark equipment time demand for each period within the target calculation period. S3: Based on the equipment configuration list and personnel configuration list, convert the baseline working hour requirements into the theoretical number of equipment units and personnel to be deployed in each time period. Match the theoretical requirements with the actual available resources to generate equipment time-sharing allocation plans and personnel time-sharing scheduling plans. Integrate these into a unified input calculation and decision support information and send it to the management terminal for display.

[0021] Specifically, a data collection object identifier is established for the target warehousing and logistics area. The business data in the warehouse management system, order management system and operation management system corresponding to the warehousing and logistics area are uniformly linked. The target calculation period is used as the time benchmark. The historical operation records are time-aligned. The historical throughput data corresponding to the target calculation period is extracted from the historical database to form a historical throughput sequence. Each time unit corresponds to the total amount of actual inbound, outbound and in-warehouse handling.

[0022] Read the current inventory status data of the warehousing and logistics area, classify and summarize the inventory data, summarize the inventory according to the storage location dimension, and calculate the current total inventory of the warehousing and logistics area. The current total inventory is the sum of the quantities of all goods in the warehousing and logistics area at the start of the target calculation period.

[0023] The system extracts order data that has not yet been processed from the order management system, filters the order data by status, identifies all orders that are in the status of waiting to be picked, waiting to be sorted, waiting to be reviewed, and waiting to be shipped, and accumulates the quantity of goods involved in the orders to form the total number of orders to be processed. At the same time, the orders are divided into time segments according to the planned execution time of the orders, and each order quantity is mapped to the corresponding target calculation period time unit to form the time distribution sequence of orders to be processed.

[0024] The business plan data in the business management system is extracted, the types of business activities scheduled in the warehousing and logistics area within the target calculation period are identified, and the types of business activities are classified and labeled. The business activities are divided into inbound operation type, outbound operation type, transfer operation type and inventory operation type. Each type of business activity is mapped to the corresponding time unit within the target calculation period according to the planned execution time, forming a time distribution sequence of business activity types.

[0025] Statistical processing is performed on the historical throughput sequence to calculate the historical average throughput for each time unit within the target measurement period, forming a historical average throughput sequence. The historical average throughput represents the average throughput at the same time position as the target time unit in the historical period.

[0026] Based on the historical average throughput for the same period, the current total inventory, and the time distribution series of pending orders, the predicted throughput for each time unit is calculated, and the predicted throughput is expressed as: ; In the formula: Indicates the time unit within the target measurement period The predicted throughput; Representing time units The corresponding historical average throughput for the same period; This represents the number of orders to be processed corresponding to time unit t; This indicates the impact of the current total inventory on the inventory level after being allocated to a unit of time based on the target calculation period; , and This represents the weighting coefficients for historical throughput, order impact, and inventory impact.

[0027] Based on the time distribution sequence of business activity types, the predicted throughput is modified by business activity. For each time unit, the corresponding business activity type is identified, and the predicted throughput is modified according to the work intensity coefficient corresponding to the business activity type, forming a business-modified predicted throughput sequence, so that the predicted throughput reflects the changes in actual work demand under different business activity conditions.

[0028] Establish a time quota data table, linking the unit throughput human time quota and equipment time quota corresponding to different business activity types. For each time unit, based on the business-adjusted predicted throughput and the corresponding business activity type, extract the unit throughput human time quota and unit throughput equipment time quota from the time quota data table, and calculate the baseline human time requirement and baseline equipment time requirement for each time unit, expressed as: ; ; In the formula: Representing time units The baseline employee working hours required; Representing time units The baseline equipment time requirements; Representing time units Business-adjusted forecast throughput; Representing time units Unit throughput per person-hour quota for the corresponding business activity type; Representing time units The unit throughput equipment man-hour quota for the corresponding business activity type.

[0029] The baseline man-hour requirements and baseline equipment man-hour requirements for each time unit are arranged in chronological order to form a complete sequence of man-hour requirements and equipment man-hour requirements within the target calculation period, and stored as baseline requirement data for man-hour and equipment input calculation.

[0030] Establish an equipment configuration list, register all available equipment in the warehousing and logistics area, and record the standard working hours of each piece of equipment within a unit time unit to form a set of equipment unit time operation capacity parameters.

[0031] Establish a personnel configuration list, register all available personnel in the warehousing and logistics area, and record the standard working hours of each person within a unit of time, forming a set of personnel unit-time work capacity parameters.

[0032] Based on the baseline equipment time demand sequence and the set of equipment unit time operation capacity parameters, the theoretical number of equipment units to be put into operation in each time unit is calculated, expressed as: ; In the formula: Representing time units The theoretical number of units of equipment put into operation; This indicates the standard operating hours of a single piece of equipment within a unit of time.

[0033] Based on the baseline manpower demand sequence and the set of personnel unit time work capacity parameters, the theoretical number of personnel to be deployed in each time unit is calculated, expressed as: ; In the formula: Representing time units The number of theoretical personnel involved; This represents the standard working hours of a single person within a unit of time.

[0034] Obtain the actual number of available equipment and personnel. Match the theoretical number of equipment to be deployed in each time unit with the actual number of available equipment. When the theoretical number of equipment to be deployed is less than or equal to the actual number of available equipment, allocate the corresponding number of equipment to that time unit. When the theoretical number of equipment to be deployed is greater than the actual number of available equipment, allocate all available equipment to that time unit and record the equipment demand gap.

[0035] Match the theoretical number of personnel to be deployed with the actual number of available personnel in each time unit. When the theoretical number of personnel deployed is less than or equal to the actual number of available personnel, the corresponding number of personnel are allocated to that time unit. When the theoretical number of personnel deployed is greater than the actual number of available personnel, all available personnel are allocated to that time unit, and the personnel demand gap is recorded.

[0036] According to the time unit sequence, the equipment allocation results of each time unit are integrated to form an equipment time-sharing deployment plan sequence, and the personnel allocation results of each time unit are integrated to form a personnel time-sharing scheduling plan sequence.

[0037] The equipment time-sharing allocation plan sequence and the personnel time-sharing scheduling plan sequence are integrated into a unified structure to form a data set that includes time unit identifiers, predicted throughput, baseline personnel man-hour requirements, baseline equipment man-hour requirements, theoretical number of equipment units to be put into use, theoretical number of personnel to be put into use, actual number of equipment allocated, and actual number of personnel allocated. The data set is integrated into an integrated input calculation and decision support information and sent to the management terminal to display the personnel and equipment input status, thus completing the integrated warehousing and logistics personnel and equipment input calculation and decision support.

[0038] This embodiment also provides a computer device applicable to the integrated warehousing and logistics personnel and equipment input calculation and decision support method, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement all or part of the steps of the method described in the above embodiments of the present invention.

[0039] This embodiment also provides a storage medium storing a computer program thereon. When the computer program is executed by a processor, it performs the method in any optional implementation of the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0040] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0041] In summary, this invention constructs a predictive throughput model, enabling the calculation results to reflect the dynamic changes in warehousing workload; it quantifies throughput demand into personnel and equipment time requirements through time quotas, achieving a standardized mapping of business load to resource demand; and it combines actual resource allocation lists for time-sharing matching and allocation, forming personnel scheduling and equipment allocation plans adapted to operational needs. This improves the accuracy and matching of resource input calculations, reduces resource idleness and shortages, enhances the operational efficiency and resource utilization level of the warehousing and logistics system, and strengthens the scientific nature and feasibility of management decisions.

[0042] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An integrated warehousing and logistics personnel and equipment input calculation and decision support method, characterized by: include, Obtain historical throughput, current inventory, pending order volume, and planned business activity types data for the target warehousing and logistics area; The predicted throughput for each time unit within the target calculation period is obtained by weighting the historical average throughput, current inventory, and pending orders. The predicted throughput is then adjusted according to the planned business activity type. Combined with the preset time quota data table, the baseline man-hour requirement and baseline equipment time requirement for each time unit within the target calculation period are calculated. Based on the preset equipment configuration list and personnel configuration list, the baseline equipment working hours requirement and the baseline personnel working hours requirement are converted into the theoretical number of equipment units and the theoretical number of personnel to be put into each time unit. These are then matched with the actual number of available equipment units and the actual number of available personnel to generate an equipment time-sharing allocation plan and a personnel time-sharing scheduling plan, which are then sent to the management terminal for display.

2. The integrated warehousing and logistics personnel and equipment input calculation and decision support method as described in claim 1, characterized in that: The predicted throughput for each time unit within the target measurement period includes: The historical throughput sequence is statistically processed to calculate the historical average throughput for each time unit within the target measurement period, thus forming a historical average throughput sequence. Based on the historical average throughput sequence, the time distribution sequence of pending orders, and the current total inventory, the predicted throughput for each time unit is calculated, as follows: ； In the formula: Indicates the time unit within the target measurement period The predicted throughput; Representing time units The corresponding historical average throughput for the same period; This represents the number of orders to be processed corresponding to time unit t; This indicates the impact of the current total inventory on the inventory level after being allocated to a unit of time based on the target calculation period; , and This represents the weighting coefficients for historical throughput, order impact, and inventory impact.

3. The integrated warehousing and logistics personnel and equipment input calculation and decision support method as described in claim 1, characterized in that: The process of adjusting the predicted throughput based on the planned business activity type includes: Based on the time distribution sequence of business activity types, identify the type of business activity for each time unit; Based on the preset work intensity coefficient corresponding to the business activity type, the predicted throughput is corrected to form a business-corrected predicted throughput sequence.

4. The integrated warehousing and logistics personnel and equipment input calculation and decision support method as described in claim 1, characterized in that: The baseline man-hour requirements and baseline equipment man-hour requirements for each time unit within the calculation target period include: Establish a time quota data table to link the unit throughput personnel time quota and equipment time quota corresponding to different business activity types; For each time unit, based on the business-adjusted forecast throughput and business activity type, extract the unit throughput personnel hour quota and unit throughput equipment hour quota from the hour quota data table, calculate the baseline personnel hour requirement and baseline equipment hour requirement, expressed as: ； ； In the formula: Representing time units The baseline employee working hours required; Representing time units The baseline equipment time requirements; Representing time units Business-adjusted forecast throughput; Representing time units Unit throughput per person-hour quota for the corresponding business activity type; Representing time units Equipment man-hour quota per unit throughput for the corresponding business activity type; Arrange the baseline man-hour requirements and baseline equipment man-hour requirements for each time unit in chronological order to form the man-hour requirement sequence and equipment man-hour requirement sequence within the target calculation period.

5. The integrated warehousing and logistics personnel and equipment input calculation and decision support method as described in claim 1, characterized in that: The process of converting the baseline equipment working hour requirements and baseline personnel working hour requirements into the theoretical number of equipment units and the theoretical number of personnel for each time unit includes: Establish an equipment configuration list, register all available equipment in the warehousing and logistics area, and record the standard working hours of each piece of equipment within a unit time unit to form a set of equipment unit time operation capacity parameters; Establish a personnel configuration list, register all available personnel in the warehousing and logistics area, and record the standard working hours of each personnel within a unit of time, forming a set of personnel unit time working capacity parameters; Based on the equipment time demand sequence and the set of equipment unit time operation capacity parameters, the theoretical number of equipment units to be put into operation in each time unit is calculated, expressed as: ； In the formula: Representing time units The theoretical number of units of equipment put into operation; This represents the standard operating hours of a single piece of equipment within a unit of time. Based on the personnel work hour demand sequence and the set of personnel work capacity parameters per unit time, the theoretical number of personnel to be deployed in each time unit is calculated, expressed as: ； In the formula: Representing time units The number of theoretical personnel involved; This represents the standard working hours of a single person within a unit of time.

6. The integrated warehousing and logistics personnel and equipment input calculation and decision support method as described in claim 1, characterized in that: The time-sharing allocation plan for generating equipment and the time-sharing scheduling plan for personnel include: Obtain the actual number of available equipment and personnel; For each time unit, the theoretical number of equipment to be put into use is matched with the actual number of available equipment: if the theoretical number of equipment to be put into use is less than or equal to the actual number of available equipment, the corresponding number of equipment is allocated to that time unit. If the theoretical number of equipment to be put into operation is greater than the actual number of available equipment, then all available equipment will be allocated to that time unit and the equipment demand gap will be recorded. For each time unit, the theoretical number of personnel to be deployed is matched with the actual number of available personnel: if the theoretical number of personnel to be deployed is less than or equal to the actual number of available personnel, the corresponding number of personnel is allocated to that time unit; if the theoretical number of personnel to be deployed is greater than the actual number of available personnel, all available personnel are allocated to that time unit, and the personnel demand gap is recorded. Based on the time unit sequence, the equipment allocation results of each time unit are integrated to form an equipment time-sharing deployment plan sequence, and the personnel allocation results of each time unit are integrated to form a personnel time-sharing shift plan sequence.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the integrated warehousing and logistics personnel and equipment input calculation and decision support method according to any one of claims 1 to 7.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the integrated warehousing and logistics personnel and equipment input calculation and decision support method according to any one of claims 1 to 7.

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