Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends

Omega ◽  
2014 ◽  
Vol 45 ◽  
pp. 119-135 ◽  
Author(s):  
Mehmet Mutlu Yenisey ◽  
Betul Yagmahan
2021 ◽  
pp. 1-11
Author(s):  
M. Emin Baysal ◽  
Ahmet Sarucan ◽  
Kadir Büyüközkan ◽  
Orhan Engin

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.


Omega ◽  
2018 ◽  
Vol 77 ◽  
pp. 143-153 ◽  
Author(s):  
Daniel Alejandro Rossit ◽  
Fernando Tohmé ◽  
Mariano Frutos

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