Scheduling method based on hospital logistics transportation system tasks

Abstract

The invention relates to a hospital logistics transportation task-based scheduling method, which comprises the following steps of: 1) extracting a transportation type, release time and a current on-duty employee number of a transportation task, and related data of received but unfinished tasks 2) obtaining the total execution number and the cumulative execution time of each on-duty employee task and the total per capita execution number and the cumulative execution time in the logistics transportation data by taking the recent year time and the published transportation task type as ranges; 3)obtaining skilled indexes; 4) obtaining average execution time of each transport task type by taking the most recent year as a range; 5) calculating conflict time and average conflict time according to the condition that each employee on duty receives the task; 6) obtaining a busy index, and 7) calculating a matching index according to the skilled index and the busy index so as to schedule the transportation task to the employee having the highest matching index, The method is reasonable, and the efficiency and rationality of the hospital logistics transportation center for scheduling the transportation task can be effectively improved.

Description

technical field [0001] The invention relates to data mining and task scheduling of a hospital logistics transport system, in particular to a task scheduling method based on a hospital logistics transport system. Background technique [0002] Hospital logistics transportation is an important part of medical logistics in modern medical institutions. It takes patients as the center and provides logistics transportation services for medical institutions, mainly covering escort, material procurement, transshipment, central warehouse and other businesses. Due to the increasing business volume of modern medical institutions, the in-depth internal comprehensive reform and the emergence of the responsibility system, it is imminent to establish a more efficient, fast and safe logistics transportation system to ensure the normal operation of medical institutions. With the popularization and development of Internet of Things technology, information technology, and big data technology in...

AI Technical Summary

Problems solved by technology

At present, the artificial manual scheduling mode is still widely used in the medical logistics transportation business. Due to the high complexity of the business and the artificial and objective constraints of this mode, it is difficult to coordinate the scheduling of the transportation business, it is difficult to be scientific, and it is difficult to be efficient.

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