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

Ahmed Missaoui; Cemalettin Ozturk; Barry O'Sullivan

doi:10.1109/CoDIT58514.2023.10284309

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

Ahmed Missaoui
, Cemalettin Ozturk
, Barry O'Sullivan

Munster Technological University

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

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.

Original language	English
Title of host publication	9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2073-2078
Number of pages	6
ISBN (Electronic)	9798350311402
DOIs	https://doi.org/10.1109/CoDIT58514.2023.10284309
Publication status	Published - 2023
Event	9th International Conference on Control, Decision and Information Technologies, CoDIT 2023 - Rome, Italy Duration: 3 Jul 2023 → 6 Jul 2023

Publication series

Name	9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023

Conference

Conference	9th International Conference on Control, Decision and Information Technologies, CoDIT 2023
Country/Territory	Italy
City	Rome
Period	3/07/23 → 6/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

UCC Futures

Artificial Intelligence and Data Analytics

Keywords

energy efficiency
hybrid flowshop scheduling with blocking constraint
makespan
Multi-objective iterated greedy
NSGA-II
Pareto front

Access to Document

10.1109/CoDIT58514.2023.10284309

Cite this

Missaoui, A., Ozturk, C., & O'Sullivan, B. (2023). Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints. In 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023 (pp. 2073-2078). (9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT58514.2023.10284309

Missaoui, Ahmed ; Ozturk, Cemalettin ; O'Sullivan, Barry. / Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints. 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 2073-2078 (9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023).

@inproceedings{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",

}

Missaoui, A, Ozturk, C & O'Sullivan, B 2023, Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints. in 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023. 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023, Institute of Electrical and Electronics Engineers Inc., pp. 2073-2078, 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023, Rome, Italy, 3/07/23. https://doi.org/10.1109/CoDIT58514.2023.10284309

Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints. / Missaoui, Ahmed; Ozturk, Cemalettin; O'Sullivan, Barry.
9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 2073-2078 (9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints

AU - Missaoui, Ahmed

AU - Ozturk, Cemalettin

AU - O'Sullivan, Barry

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - energy efficiency

KW - hybrid flowshop scheduling with blocking constraint

KW - makespan

KW - Multi-objective iterated greedy

KW - NSGA-II

KW - Pareto front

UR - https://www.scopus.com/pages/publications/85177431016

U2 - 10.1109/CoDIT58514.2023.10284309

DO - 10.1109/CoDIT58514.2023.10284309

M3 - Conference proceeding

AN - SCOPUS:85177431016

T3 - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023

SP - 2073

EP - 2078

BT - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

Y2 - 3 July 2023 through 6 July 2023

ER -

Missaoui A, Ozturk C, O'Sullivan B. Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints. In 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 2073-2078. (9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023). doi: 10.1109/CoDIT58514.2023.10284309

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

Abstract

Publication series

Conference

UN SDGs

UCC Futures

Keywords

Access to Document

Other files and links

Fingerprint

Cite this