Scheduling method of multi-labor target

A goal and employee technology, applied in the computer field, can solve problems such as laborious, complicated job setting, failure to consider employment goals and scheduling fairness, etc., to achieve improved scheduling efficiency, clear goal orientation, and low scheduling operation costs Effect

Pending Publication Date: 2020-01-21
SHANGHAI SIIC LONGCHUANG SMARTER ENERGY TECH CO LTD
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  • Application Information

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Problems solved by technology

However, the constraints of the ILP model for quantitative scheduling do not take into account the "early, middle and late" mechanism of employment objectives and the fairness of scheduling, etc., and it is difficult to comprehensively consider the needs of enterprise employment as the center, complementary value-added, balanced equality, s...

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  • Scheduling method of multi-labor target
  • Scheduling method of multi-labor target
  • Scheduling method of multi-labor target

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Embodiment

[0018] In actual employee scheduling, constraints mainly include work intensity requirements, night shift requirements, employee satisfaction with the working environment, working time preferences, and scheduling fairness. The goal of the scheduling problem is to satisfy a series of labor constraints and company resource requirements within a scheduling cycle (week or month), so that the cost of the entire company is minimized and job satisfaction is maximized.

[0019] The scheduling problem is subject to three key assumptions:

[0020] (1) The constraints of the scheduling model must conform to the current labor laws and regulations of our country and the actual working conditions of each company;

[0021] (2) The employee's own requirements should be met as much as possible, which is very important for the research on shift scheduling;

[0022] (3) It is not necessary to consider all employees on duty in the employee scheduling model. Those interns and part-time employees...

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Abstract

The invention relates to a scheduling method of a multi-labor target. The method comprises the following steps: setting constraint conditions which must be satisfied by employees in a scheduling environment as strong constraint conditions, and setting conditions satisfied by the employees as much as possible in the scheduling environment as weak constraint conditions, establishing an employee scheduling model by taking the minimum cost of the whole company and the highest satisfaction of employee work as target functions, and obtaining an employee scheduling result by solving the employee scheduling model. Compared with the prior art, under the condition of no artificial participation, periodic scheduling can be automatically carried out according to personnel labor targets and constraintconditions, target guidance is clear, and intelligent scheduling is realized. Objective, transparent and big data decisions are adopted, so that the scheduling operation cost is low. Scheduling is executed in batches, and scheduling efficiency is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a shift scheduling method for multiple employment targets. Background technique [0002] At present, the research on employee scheduling issues in China started relatively late, mainly based on the following rules: scheduling according to function mode and holistic nursing mode; scheduling according to fixed, flexible, "multi-shift system" and "morning, middle and evening"; Scheduling and other simple manual scheduling mode. However, the constraints of the ILP model for quantitative scheduling do not take into account the "early, middle and late" mechanism of employment objectives and the fairness of scheduling, etc., and it is difficult to comprehensively consider the needs of enterprise employment as the center, complementary value-added, balanced equality, stable mechanism, and human nature. Therefore, it lacks an effective model optimization mechanism. Especially in large...

Claims

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Application Information

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IPC IPC(8): G06F17/10G06Q10/10
CPCG06F17/10G06Q10/1097
Inventor 李毅蒋秋明
Owner SHANGHAI SIIC LONGCHUANG SMARTER ENERGY TECH CO LTD
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