Multi-task intelligent scheduling method, device and equipment and storage medium

Abstract

The invention discloses a multi-task intelligent scheduling method, device and equipment and a storage medium, belongs to the technical field of logistics staff allocation, and particularly relates tothe technical field of staff allocation of traditional logistics service and novel logistics service multi-task mixing. The multi-task intelligent scheduling method comprises the steps that historical data of all tasks are acquired, and the completion ability of all tasks of all employees is evaluated according to the historical data; and obtaining the predicted quantity information of each task,carrying out scheduling analysis according to each piece of predicted quantity information and the evaluation result, a multi-task scheduling result is generated and the multi-task scheduling resultis outputted. The multi-task intelligent scheduling method can be applied to task allocation and employee allocation in a multi-task mixed mode in which traditional logistics service and novel logistics service are combined, a timely employee allocation scheme can be formed according to the change condition of the service amount in an actual working scene, the time utilization rate of employees isimproved, and the labor cost is saved.

Description

technical field [0001] The invention relates to the technical field of logistics staff deployment, in particular to the technical field of staff deployment in which traditional logistics business and new logistics business are multi-task mixed, specifically a multi-task intelligent scheduling method, device, equipment and storage medium. Background technique [0002] At present, on the basis of the traditional logistics delivery business, the logistics industry has developed and formed many new logistics businesses such as city delivery and food delivery. In the traditional logistics delivery business, the work tasks of employees are relatively single, and the task assignment and scheduling of employees based on a single business are relatively simple and fixed, that is, employees only serve task assignment and scheduling under a single business model. However, with the rise of many new logistics businesses such as city delivery and food delivery, the relatively simple and f...

AI Technical Summary

Problems solved by technology

In the traditional logistics delivery business, the work tasks of employees are relatively single, and the task assignment and scheduling of employees based on a single business are relatively simple and fixed, that is, employees only serve task assignment and scheduling under a single business model

However, with the rise of many new logistics businesses such as city delivery and food delivery, the relatively simple and fixed task assignment and scheduling mode of employees can no longer adapt to the development of the logistics industry.

[0003] First of all, in actual work scenarios, the business volume of employees will fluctuate regularly over time, and a relatively fixed staff configuration will often cause resource shortages or idle resources.

[0004] At the same time, with the rise of new logistics business, because different employees are only relatively fixedly responsible for a single task, which limits the possibility of employees engaging in other tasks with similar business skill requirements in an idle state

[0005] In addition, the task assignment and scheduling of existing employees cannot take into account the multi-tasking mixed mode of traditional business and new business. Smart scheduling of employees limits the business development of the company on the one hand, and on the other On the one hand, employees in the idle state have no task assignments, which also causes a waste of working time and limits the growth of employee income.

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