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Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time

  • Hande Öztop
  • M. Fatih Tasgetiren
  • Deniz Türsel Eliiyi
  • Quan-Ke Pan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10956)

Abstract

Permutation flow shop scheduling problem (PFSP) is a well-known problem in the scheduling literature. Even though many multi-objective PFSPs are presented in the literature with the objectives related to production efficiency and customer satisfaction, studies considering energy consumption and environmental effects in scheduling is very seldom. In this paper, the trade-off between total energy consumption (TEC) and total flow time is investigated in a PFSP environment, where the machines are assumed to operate at varying speed levels. A multi-objective mixed integer linear programming model is proposed based on a speed-scaling strategy. Due to the NP-complete nature of the problem, an efficient multi-objective iterated greedy (IGALL) algorithm is also developed. The performance of IGALL is compared with model performance in terms of quality and cardinality of the solutions.

Keywords

Permutation Flowshop Scheduling Energy efficient scheduling Multi-objective optimization Iterated greedy algorithm Heuristic optimization 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Hande Öztop
    • 1
  • M. Fatih Tasgetiren
    • 2
  • Deniz Türsel Eliiyi
    • 1
  • Quan-Ke Pan
    • 3
  1. 1.Department of Industrial EngineeringYasar UniversityBornovaTurkey
  2. 2.Department of International Logistics ManagementYasar UniversityBornovaTurkey
  3. 3.State Key LaboratoryHuazhong University of Science and TechnologyWuhanPeople’s Republic of China

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