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Title
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An Integrated Approach for the Operational Design of a CMS
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Sub-Title |
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Subject |
Cellular Manufacturing System, Grouping Efficacy, Makespan, Hybrid Genetic Algorithm
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Sub-Subject |
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Author |
Ayesha Maroof , Adnan Tariq ,Sahar Noor
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Publish Year |
2021 |
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Diss#. |
https://doi.org/10.22581/muet1982.2102 |
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Chapters |
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Pages |
265-275 |
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Text Language |
English |
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Accession |
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Library Section |
Research Article |
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Abstract |
Shorter product life cycles, unpredictable demand patterns and the ever-shrinking time to market, have been
constantly keeping the manufacturing firms under a lot of pressure. To face these challenges the manufacturing
organizations have been shifting to Cellular Manufacturing (CM) due to its benefits of reducing manufacturing
costs, increasing flexibility and delivering orders on time. Despite having several benefits, designing a Cellular
Manufacturing System (CMS) for a real-life application is a tough ask. The main challenge is the part-machine
grouping in cells. It becomes even more challenging when the group scheduling (GS) problem is handled
alongside the part-machine clustering. To take up this challenge, an integrated model is developed during this
research which handles the machine-part grouping and the GS problems, simultaneously. To optimize the
multiple objectives of maximizing Grouping Efficacy (GE) and minimizing Makespan (Cmax), concurrently, a
Hybrid Genetic Algorithm (
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