An efficient computational model for unequal-area dynamic facility layout problems considering input/output locations under algorithms case
Recently, the adaptability of production systems is crucial for various facilities or departments, focusing on minimizing the cost associated with material flow in facility layout problems. To address these challenges, an examination of dynamic problems becomes imperative. This paper presents a math...
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| Published in | Sadhana (Bangalore) Vol. 49; no. 3; p. 211 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New Delhi
Springer India
09.07.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0973-7677 0256-2499 0973-7677 |
| DOI | 10.1007/s12046-024-02550-8 |
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| Abstract | Recently, the adaptability of production systems is crucial for various facilities or departments, focusing on minimizing the cost associated with material flow in facility layout problems. To address these challenges, an examination of dynamic problems becomes imperative. This paper presents a mathematical model designed explicitly for dynamic facility layout problems (DFLP) characterized by fixed shapes and unequal areas. The model incorporates input and output points, allowing flexibility in their placement within facilities, and treats material handling system input/output (I/O) points as decision variables. The proposed approach utilizes an Improved Particle Swarm Optimization algorithm (IPSO) and an Improved Genetic Algorithm (IGA) to solve the resulting mixed integer nonlinear programming (MINLP) model. Both a theoretical problem and a real-world case are employed to assess the effectiveness of the suggested algorithms. The outcomes demonstrate that the proposed algorithm outperforms the compared algorithms in identifying optimal solutions. |
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| AbstractList | Recently, the adaptability of production systems is crucial for various facilities or departments, focusing on minimizing the cost associated with material flow in facility layout problems. To address these challenges, an examination of dynamic problems becomes imperative. This paper presents a mathematical model designed explicitly for dynamic facility layout problems (DFLP) characterized by fixed shapes and unequal areas. The model incorporates input and output points, allowing flexibility in their placement within facilities, and treats material handling system input/output (I/O) points as decision variables. The proposed approach utilizes an Improved Particle Swarm Optimization algorithm (IPSO) and an Improved Genetic Algorithm (IGA) to solve the resulting mixed integer nonlinear programming (MINLP) model. Both a theoretical problem and a real-world case are employed to assess the effectiveness of the suggested algorithms. The outcomes demonstrate that the proposed algorithm outperforms the compared algorithms in identifying optimal solutions. |
| ArticleNumber | 211 |
| Author | Attari, Mahdi Yousefi Nejad Ghadim, Vahid Abbasgholi Pour Ala, Ali Seyedi, Seyed Bardia |
| Author_xml | – sequence: 1 givenname: Seyed Bardia surname: Seyedi fullname: Seyedi, Seyed Bardia organization: Department of Industrial Engineering, Bonab Branch, Islamic Azad University – sequence: 2 givenname: Mahdi Yousefi Nejad orcidid: 0000-0002-5219-042X surname: Attari fullname: Attari, Mahdi Yousefi Nejad organization: Department of Industrial Engineering, Bonab Branch, Islamic Azad University – sequence: 3 givenname: Vahid Abbasgholi Pour orcidid: 0000-0003-1438-639X surname: Ghadim fullname: Ghadim, Vahid Abbasgholi Pour organization: Department of Industrial Engineering, Bonab Branch, Islamic Azad University – sequence: 4 givenname: Ali orcidid: 0000-0003-4552-4732 surname: Ala fullname: Ala, Ali email: kanban@sjtu.edu.cn organization: Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Departments of Industrial Engineering and Management, Shanghai Jiao Tong University |
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| Cites_doi | 10.1016/j.cie.2007.11.019 10.1016/j.ejor.2017.01.049 10.1016/S0377-2217(97)00220-8 10.1109/59.867163 10.1016/j.arcontrol.2007.04.001 10.1080/00207540500057506 10.1080/00207540050205550 10.1002/aic.12637 10.1080/01605682.2021.1920345 10.1109/ACCESS.2022.3163287 10.1057/palgrave.jors.2600720 10.1016/j.ijthermalsci.2011.11.013 10.1080/00207543.2020.1712490 10.1080/00207543.2012.752589 10.1016/j.jmsy.2019.09.004 10.1080/00207543.2022.2037778 10.2478/fcds-2022-0006 10.1016/j.engappai.2024.108053 10.3390/su12198277 10.3390/app11041758 10.1109/ACCESS.2020.3021753 10.1016/j.asoc.2018.10.012 10.1109/ACCESS.2019.2941442 10.1021/acs.jced.9b00688 10.1016/j.autcon.2022.104713 10.1016/j.engappai.2019.103445 10.1016/j.ejor.2018.01.001 10.1016/j.cor.2019.02.009 10.1016/j.cie.2016.12.018 10.1007/s11590-020-01621-z 10.1016/j.cor.2018.11.002 10.3390/app11156676 10.1016/j.asoc.2022.108725 10.1007/s00170-011-3614-x 10.1007/s10660-021-09521-9 10.1080/03155986.2017.1396709 10.1016/j.heliyon.2023.e16714 10.1007/s12008-024-01742-0 |
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| Copyright | Indian Academy of Sciences 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Indian Academy of Sciences 2024. |
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| Keywords | unequal-area dynamic mixed integer non-linear input and output points heuristics algorithms Facility layout problems |
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| SubjectTerms | Algorithms Design Engineering Facilities management Flexible manufacturing systems Genetic algorithms Heuristic Integer programming Layouts Linear programming Materials handling Mathematical models Mixed integer Nonlinear programming Optimization algorithms Particle swarm optimization |
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