Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints

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Date
2023-07
Authors
Missaoui, Ahmed
Ozturk, Cemalettin
O'Sullivan, Barry
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Volume Title
Publisher
IEEE
Published Version
10.1109/codit58514.2023.10284309
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Abstract
The social context in relation to energy policies, energy supply, and sustainability concerns, as well as advances in more energy-efficient technologies is driving a need for a change in the manufacturing industry. In this paper, a hybrid ftowshop production system with blocking constraints is investigated from both sustainability and productivity dimensions. For an efficient solution to this proven NP-hard problem, we implemented a multi-objective iterated greedy algorithm first time to minimize the makespan and total energy consumption simultaneously. We provide small, medium, and large instances to benchmark our approach against non-dominated sorting genetic algorithm-II (NSGA-II) which shows efficiency of the proposed methodology.
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Keywords
Multi-objective iterated greedy , Hybrid flowshop scheduling with blocking constraint , Energy efficiency , Makespan , NSGA-II , Pareto front , Productivity , Manufacturing industries , Greedy algorithms , Production systems , Job shop scheduling , NP-hard problem
Citation
Missaoui, A., Ozturk, C. and O’Sullivan, B. (2023) ‘Energy-efficient multi-objective hybrid flowshop scheduling problem with blocking constraints’, in 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), Rome, Italy, 03-06 June. IEEE, (6 pp). https://doi.org/10.1109/CoDIT58514.2023.10284309
Link to publisher’s version
https://doi.org/10.1109/CoDIT58514.2023.10284309
URI
https://hdl.handle.net/10468/15183
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