Article ID: | iaor2009958 |
Country: | Netherlands |
Volume: | 54 |
Issue: | 3 |
Start Page Number: | 411 |
End Page Number: | 420 |
Publication Date: | Apr 2008 |
Journal: | Computers & Industrial Engineering |
Authors: | Yenisey Mehmet Mutlu, Yagmahan Betul |
Keywords: | heuristics: ant systems |
Flow shop scheduling problem consists of scheduling given jobs with same order at all machines. The job can be processed on at most one machine; meanwhile one machine can process at most one job. The most common objective for this problem is makespan. However, multi-objective approach for scheduling to reduce the total scheduling cost is important. Hence, in this study, we consider the flow shop scheduling problem with multi-objectives of makespan, total flow time and total machine idle time. Ant colony optimization algorithm is proposed to solve this problem which is known as NP-hard type.