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Bi-objective Unrelated Parallel Machine Joint Scheduling of Jobs and Preventive Maintenance with a Dynamic Speed-scaling Technique by Sadiqi Assia; Faouaz JEFFALI; El Barkany Abdellah; ElMostafa ZIANI; Jamal Bouchnaif is a Engineering article available to read on EtoBox.
What is Bi-objective Unrelated Parallel Machine Joint Scheduling of Jobs and Preventive Maintenance with a Dynamic Speed-scaling Technique about?
Nowadays, industries contribute to a substantial consumption of energy. This consumption leads to significant greenhouse gas emissions, energy dependence and ever-increasing costs for manufacturers. Controlling consumption and improving energy efficiency in industry are therefore major challenges in terms of environmental issues. In this context, this article examines an energy-efficient bi-objective unrelated parallel machine joint scheduling of jobs and preventive maintenance activities problem to minimize both makespan and total energy consumption. The parallel machines are speed-scaling. To solve the problem, we propose a bi-objective mixed integer linear programming (MILP) model. Since the problem involves assigning jobs to machines and selecting an appropriate processing speed level for each job, we characterize each individual by two vectors: a job-machine assignment vector and a speed vector. To the best of our knowledge, no papers considering both production scheduling and Preventive Maintenance periods with minimizing the bi-objective makespan and the total of energy consumption. The gap between theory and practice prevents the satisfying performance of the schedules in i
Who reads Bi-objective Unrelated Parallel Machine Joint Scheduling of Jobs and Preventive Maintenance with a Dynamic Speed-scaling Technique?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Sadiqi Assia; Faouaz JEFFALI; El Barkany Abdellah; ElMostafa ZIANI; Jamal Bouchnaif
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)