Affiliations: [a]
Konya Technical University, Industrial Engineering Department, Konya, Turkey
| [b]
Karadeniz Technical University, Industrial Engineering Department, Trabzon, Turkey
Correspondence:
[*]
Corresponding author. Orhan Engin, Konya Technical University, Industrial Engineering Department, Konya, Turkey. E-mail: [email protected].
Abstract: The distributed permutation flow shop scheduling (DPFSS) is a permutation flow shop scheduling problem including the multi-factory environment. The processing times of the jobs in a real life scheduling problem cannot be precisely know because of the human factor. In this study, the process times and due dates of the jobs are considered triangular and trapezoidal fuzzy numbers for DPFSS environment. An artificial bee colony (ABC) algorithm is developed to solve the multi-objective distributed fuzzy permutation flow shop (DFPFS) problem. First, the proposed ABC algorithm is calibrated with the well-known DPFSS instances in the literature. Then, the DPFSS instances are fuzzified and solved with the algorithm. According to the results, the proposed ABC algorithm performs well to solve the DFPFS problems.
Keywords: Distributed fuzzy permutation flow-shop, artificial bee colony, multi-objective, fuzzy completion time, agreement index
