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Advances in Simulation, Product Design and Development pp 327–337Cite as

Design of Row-based Machine Layout—A Case Study

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Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

Abstract

The layout problem of machines is the determination of the relative location of machines in the available space to minimize the total material handling cost. Machine layout problems are cumbersome and are non-polynomial in nature. Generally, metaheuristics give closer to optimal solution but not precise solution. Since machine layout problems are complex it is, therefore, necessary to obtain the solution by more than one technique like genetic algorithm and ant colony algorithms. The objective of the present study is a case study of Lakshmi Engineering Workshop is taken and optimum arrangement of machines which yield minimum total transportation cost is found out by applying genetic algorithm and ant colony algorithm techniques in a multi-row machine layout. By adopting present method, the cost for the optimum layout decreased by 38% when compared with the existing layout cost.

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Author information

Authors and Affiliations

  1. R.V.R & J.C. College of Engineering, Guntur, Andhra Pradesh, 522019, India

    Chandanam Srinivas & Bijjam Ramgopal Reddy

  2. Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, 522508, India

    Ravela Naveen

Authors
  1. Chandanam Srinivas
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  2. Ravela Naveen
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  3. Bijjam Ramgopal Reddy
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Corresponding author

Correspondence to Chandanam Srinivas .

Editor information

Editors and Affiliations

  1. Manufacturing Engineering Section, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

    M. S. Shunmugam

  2. Department of Manufacturing Engineering, College of Engineering, Guindy, Anna University, Chennai, Tamil Nadu, India

    M. Kanthababu

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Srinivas, C., Naveen, R., Ramgopal Reddy, B. (2020). Design of Row-based Machine Layout—A Case Study. In: Shunmugam, M., Kanthababu, M. (eds) Advances in Simulation, Product Design and Development. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9487-5_25

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  • DOI: https://doi.org/10.1007/978-981-32-9487-5_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9486-8

  • Online ISBN: 978-981-32-9487-5

  • eBook Packages: EngineeringEngineering (R0)

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