EURO 2024 Copenhagen
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4027. Exact and metaheuristic methods for multi-objective energy aware hybrid flow shop scheduling problem with blocking and sequence-dependent setup times

Invited abstract in session WC-19: OR in Energy II, stream OR in Energy.

Wednesday, 12:30-14:00
Room: 44 (building: 116)

Authors (first author is the speaker)

1. Ahmed Missaoui
Computer science, University college Cork
2. Cemalettin Ozturk
Process, Energy & Transport, Munster Technological University
3. Barry O'Sullivan
School of Computer Science & IT, University College Cork

Abstract

The manufacturing sector is considered one of the most significant consumers of energy. Given the energy crisis, manufacturing industry is paying increasing attention to energy-efficient scheduling as a short/medium-term strategy for reducing energy consumption without requiring significant investments. In this paper, the Hybrid Flowshop Scheduling Problem with Blocking Constraints and Sequence Dependent Setup Times (BHFS-SDST) is addressed for the minimization of makespan and total energy consumption (TEC). A novel constraint programming (CP) model as an exact method is developed and its performance is compared with another exact method, mixed-integer linear programming formulation (MILP) and a multi-objective iterated greedy (MOIG) metaheuristic. The effectiveness of the proposed approaches is tested with randomly generated small, medium, and large benchmarks. Computational experiments demonstrate the efficiency of the developed methods in solving the BHFS-SDST problem.

Keywords

Status: accepted


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