Heuristic algorithms for scheduling hybrid flow shops with machine blocking and setup times

Resumo

We investigate a new variant of the hybrid flow shop problem (HFSP) considering machine blocking and both sequence-independent and sequence-dependent setup times. Since the HFSP is NP-hard, we propose heuristic algorithms along with priority rules based on the traditional SPT and LPT rules. We carried out computational experiments on simulated problem instances to test the performance of the priority rules. The objective function adopted was makespan minimization, and we used the rate of success and the relative deviation as performance criteria. The results indicate superiority of LPT-based rules. On instances with sequence-independent setup times, the LP rule, which is based on the non-increasing sorting of total processing times, outperformed other rules in most tested instances. In instances with sequence-dependent setup times, the LPS rule, which is based on the non-increasing sum of processing time and average setup times, outperformed other rules in most tested instances.

Publicação
Journal of the Brazilian Society of Mechanical Sciences and Engineering
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João V. Moccellin
Depro/UFC

Pós-doutorado no Operations Research Program da North Carolina State University – USA (1986). Livre-Docente em Pesquisa Operacional Escola de Engenharia de São Carlos, Universidade de São Paulo (1992). Foi docente da Escola de Engenharia de São Carlos da Universidade de São Paulo de agosto/1975 a fevereiro/2011, ocupando o cargo de Professor Titular no período de maio/1994 a fevereiro/2011. Atualmente é Professor Adjunto do Departamento de Engenharia de Produção da Universidade Federal do Ceará. Tem experiência na área de Engenharia de Produção, com ênfase em Pesquisa Operacional e Programação da Produção.