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...

Full description

Saved in:
Bibliographic Details
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1026-0226
1607-887X
DOI:10.1155/2022/3597014