Hybrid flowshop with unrelated machines, sequence-dependent setup time, availability constraints and limited buffers

  • Authors:
  • Victor Yaurima;Larisa Burtseva;Andrei Tchernykh

  • Affiliations:
  • CESUES Superior Studies Center, Carretera a Sonoyta Km. 6.5, San Luis Rio Colorado, Sonora 83450, Mexico;Autonomous University of Baja California, Calle de la Normal, Col. Insurgentes Este, Mexicali, B.C 21270, Mexico;CICESE Research Center, Carretera Tijuana - Ensenada Km. 107, Ensenada, B.C 22860, Mexico

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2009

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Abstract

This paper presents a genetic algorithm for an important production scheduling problem. Since the problem is NP-hard, we focus on suboptimal scheduling solutions for the hybrid flowshop with unrelated machines, sequence-dependent setup time, availability constraints, and limited buffers. The production environment of a television assembly line for inserting electronic components is considered. The proposed genetic algorithm is a modified and extended version of the algorithm for a problem without limited buffers. It takes into account additional limited buffer constraints and uses a new crossover operator and stopping criteria. Experimental results carried out on real production settings show an improvement in scheduling when the proposed algorithm is used.