| Title: | A modified bi-objective NSGA-II approach to sustainability in reconfiguration planning of dynamic cellular manufacturing systems |
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| Authors: | ID Sibanda, M. M. (Author)
ID Padayachee, J. (Author) |
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| Files: |  APEM19-2_197-208.pdf (883,45 KB)
MD5: 540E0741C012FF25CA0568E279534297
 https://apem-journal.org/Archives/2024/Abstract-APEM19-2_197-208.html
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | Manufacturing plant layouts are developed to facilitate optimal process flow. Modern manufacturing systems must meet present production demands and be adaptable to changes in process flow in the future. Dynamic Cellular Manufacturing Systems (DCMS) increase the flexibility of layouts by reconfiguring cell structure and equipment distribution, to effectively adjust part routings for optimal process flow. Frequent reconfiguring of plant layout may not always be feasible or economical, however, when new product releases are planned, reconfiguring the plant layout to optimise the work-flow may be extremely beneficial. This paper presents a Non-dominated Sorting Genetic Algorithm (NSGA-II) approach to solving a DCMS problem in a sustainable, and responsible manner. A bi-objective integer programming model was developed over multiple planning horizons with fluctuating product demands. This model aims to achieve sustainability by reducing the cost of production, mitigating the environmental impact of production, and minimise negative social impacts on labourers that work in such environments. A penalty function approach was used to enforce the model constraints during optimisation. This study details trade-offs between the economic factors of a DCMS, the environmental implications of reconfiguring such a system, and the social impacts of reconfigurations on the workforce. |
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| Keywords: | sustainable manufacturing, cellular manufacturing systems, plant layout reconfiguration, optimisation, non-dominated sorting genetic algorithm, NSGA-II, penalty approach, bi-objective integer programming |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 17.01.2024 |
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| Article acceptance date: | 20.07.2024 |
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| Publication date: | 29.08.2024 |
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| Publisher: | Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering |
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| Year of publishing: | 2024 |
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| Number of pages: | str. 197-208 |
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| Numbering: | Vol. 19, no. 2 |
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| PID: | 20.500.12556/DKUM-96821  |
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| UDC: | 658.5 |
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| ISSN on article: | 1854-6250 |
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| COBISS.SI-ID: | 266584323 |
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| DOI: | 10.14743/apem2024.2.501 |
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| Publication date in DKUM: | 29.01.2026 |
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| Views: | 173 |
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| Downloads: | 1 |
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| Metadata: |    |
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| Categories: | Misc.
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