@inbook{41e457e25fce4b5eaaf2fac53c6f800c,
title = "Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints",
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.",
keywords = "energy efficiency, hybrid flowshop scheduling with blocking constraint, makespan, Multi-objective iterated greedy, NSGA-II, Pareto front",
author = "Ahmed Missaoui and Cemalettin Ozturk and Barry O'Sullivan",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023 ; Conference date: 03-07-2023 Through 06-07-2023",
year = "2023",
doi = "10.1109/CoDIT58514.2023.10284309",
language = "English",
series = "9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2073--2078",
booktitle = "9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023",
address = "United States",
}
