Provide a Multi-Objective Mathematical Model to Minimize Ergonomically Based Job Rotation Scheduling Costs

Document Type : Original Article

Authors
Mohammad Javad Ershadi 1
Mehrzad Faghani 2
1 Associate Professor at Iranian Research Institute for Information Science & Technology (IRANDOC), Tehran, Iran
2 Department of Industrial Engineering / Faculty of Engineering / Islamic Azad University, Central Tehran Branch, Tehran, Iran
10.22034/jcmpd.2022.551788.1011
Abstract
Nowadays, business owners and entrepreneurs are constantly looking for ways to increase the flexibility of their employees to meet the goals of their organization to respond the diverse needs of their customers. Optimizing service delivery in production systems and providing appropriate work patterns can ultimately simplify service delivery and increase employee satisfaction. While job rotation is a good way to improve an organization's agility in responding to a variety of demands, addressing this issue without the right attitude will lead to issues such as running costs as well as ergonomics and employee motivation. Hence, in this study, a multi-objective mathematical model of employee scheduling with the goal of minimizing scheduling costs and personnel allocation, enhancing employee satisfaction, and job ergonomics. The Epsilon constraint method is used to solve this multi-objective optimization problem. The results of this study showed that using appropriate multi-objective models can provide optimal results in terms of job rotation tailored to employees' working conditions. Scheduling can also ultimately reduce costs and increase motivation, considering job rotation.
Keywords
job rotation
ergonomics
fatigue and production motivation
multi-objective mathematical model
Subjects