Human Resource Scheduling in Project Management Using the Simulated Annealing Algorithm with the Human Factors Engineering Approach

Manpower scheduling means assigning a work pattern (shift day) according to the wants and needs of the system and the workforce with the goal of minimum cost. Many production and service systems require multiple scheduling. This problem is generally NP-complete, and it takes a long time to solve it...

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Published in:Discrete dynamics in nature and society 2022, Vol.2022 (1)
Main Authors: Hafezi Zadeh, Nooshin, Movahedi, Mohammad Mehdi, Shayannia, Sayed Ahmad
Format: Article
Language:English
Subjects:
Algorithms
Annealing
Blockchain
Costs
Demographics
Departments
Design
Employees
Ergonomics
Fatigue
Geophysics
Heuristic
Heuristic methods
Heuristic resource scheduling
Human engineering
Human factors
Human resources
Hydrocarbons
Integer programming
Job rotation
Lean manufacturing
Linear programming
Literature reviews
Minimum cost
Nurses
Oil exploration
Petroleum engineering
Planning
Project management
R&D
Research & development
Research methodology
Schedules
Scheduling
Simulated annealing
Simulation
Supply chains
Task scheduling
Workers
Workforce
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Movahedi, Mohammad Mehdi
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description Manpower scheduling means assigning a work pattern (shift day) according to the wants and needs of the system and the workforce with the goal of minimum cost. Many production and service systems require multiple scheduling. This problem is generally NP-complete, and it takes a long time to solve it through the current method. Today, several innovative methods have been proposed to solve such problems. In this paper, the simulated annealing method (SA) has been used. The problem in this study is in an oil extraction project for human resource scheduling, which consists of three human resource groups in four task types in oil exploration operations, including geology, geophysics, petrophysics, and oil engineering. To solve the human resource scheduling problem, a meta-heuristic algorithm called simulated annealing algorithm was applied, and the result indicated that the allocated human resource was scheduled with the least fatigue implementing the proper job rotation.
doi_str_mv 10.1155/2022/3597014
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source Wiley Online Library Open Access; Publicly Available Content Database
subjects Algorithms
Annealing
Blockchain
Costs
Demographics
Departments
Design
Employees
Ergonomics
Fatigue
Geophysics
Heuristic
Heuristic methods
Heuristic resource scheduling
Human engineering
Human factors
Human resources
Hydrocarbons
Integer programming
Job rotation
Lean manufacturing
Linear programming
Literature reviews
Minimum cost
Nurses
Oil exploration
Petroleum engineering
Planning
Project management
R&D
Research & development
Research methodology
Schedules
Scheduling
Simulated annealing
Simulation
Supply chains
Task scheduling
Workers
Workforce
title Human Resource Scheduling in Project Management Using the Simulated Annealing Algorithm with the Human Factors Engineering Approach
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