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

dc.contributor.author Hande Oztop
dc.contributor.author M. Fatih Tasgetiren
dc.contributor.author D. T. Eliiyi
dc.contributor.author Quanke Pan
dc.contributor.editor D. Huang , K. Han , A. Hussain , M.M. Gromiha
dc.date.accessioned 2025-10-06T17:51:46Z
dc.date.issued 2018
dc.description.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 (IG<inf>ALL</inf>) algorithm is also developed. The performance of IG<inf>ALL</inf> is compared with model performance in terms of quality and cardinality of the solutions. © 2018 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/978-3-319-95957-3_79
dc.identifier.isbn 9789819698936, 9789819698042, 9789819698110, 9789819698905, 9789819512324, 9783032026019, 9783032008909, 9783031915802, 9789819698141, 9783031984136
dc.identifier.issn 16113349, 03029743
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051847462&doi=10.1007%2F978-3-319-95957-3_79&partnerID=40&md5=7a7a1a40ae14709f9a6a68b8150e218d
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9618
dc.language.iso English
dc.publisher Springer Verlag service@springer.de
dc.relation.ispartof 14th International Conference on Intelligent Computing ICIC 2018
dc.source Lecture Notes in Computer Science
dc.subject Energy Efficient Scheduling, Heuristic Optimization, Iterated Greedy Algorithm, Multi-objective Optimization, Permutation Flowshop Scheduling, Customer Satisfaction, Economic And Social Effects, Energy Utilization, Integer Programming, Intelligent Computing, Multiobjective Optimization, Scheduling, Energy-efficient Scheduling, Heuristic Optimization, Iterated Greedy Algorithm, Mixed Integer Linear Programming Model, Model Performance, Permutation Flow-shop Scheduling, Production Efficiency, Total Energy Consumption (tec), Energy Efficiency
dc.subject Customer satisfaction, Economic and social effects, Energy utilization, Integer programming, Intelligent computing, Multiobjective optimization, Scheduling, Energy-Efficient Scheduling, Heuristic optimization, Iterated greedy algorithm, Mixed integer linear programming model, Model performance, Permutation flow-shop scheduling, Production efficiency, Total energy consumption (TEC), Energy efficiency
dc.title Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time
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oaire.citation.endPage 759
oaire.citation.startPage 753
person.identifier.scopus-author-id Oztop- Hande (57194232319), Tasgetiren- M. Fatih (6505799356), Eliiyi- D. T. (14521079300), Pan- Quanke (15074237600)
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