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An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines

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Intelligent Information and Database Systems (ACIIDS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1178))

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Abstract

Reconfigurable manufacturing systems (RMSs) are designed to satisfy for the requirements of a part family by amending changes in its hardware and software components rapidly in response to the quick fluctuations in the market demands. In the present work, a key RMS planning aspect has been considered and corresponding methodology and solutions are proposed for solving the problem. A Multiple Part Families Manufacturing (MPFM) problem has been considered for RMS. It involves selection of optimal reconfiguration policy while switching from production of one part family to another. This policy involves the evaluation of optimal sequences to be adopted for MPFM, which are evaluated on the basis of performance measures like number of reconfiguration set-ups involved, total reconfiguration cost and total reconfiguration time, while switching from one RSPFL set-up to another.

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Funding

The project/research was financed in the framework of the project Lublin University of Technology-Regional Excellence Initiative, funded by the Polish Ministry of Science and Higher Education (contract no. 030/RID/2018/19).

Author information

Authors and Affiliations

  1. College of Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

    Masood Ashraf & Ali S. AlArjani

  2. Faculty of Mechanical Engineering, Department of Production Computerisation and Robotisation, Lublin University of Technology, Lublin, Poland

    Arkadiusz Gola

  3. Department of Mechanical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, India

    Faisal Hasan

Authors
  1. Masood Ashraf
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  2. Arkadiusz Gola
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  3. Faisal Hasan
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  4. Ali S. AlArjani
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Corresponding author

Correspondence to Arkadiusz Gola .

Editor information

Editors and Affiliations

  1. Kielce University of Technology, Kielce, Poland

    Paweł Sitek

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Pietranik

  3. Wrocław University of Science and Technology, Wrocław, Poland

    Marek Krótkiewicz

  4. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Chutimet Srinilta

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Ashraf, M., Gola, A., Hasan, F., AlArjani, A.S. (2020). An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines. In: Sitek, P., Pietranik, M., Krótkiewicz, M., Srinilta, C. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-15-3380-8_12

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  • DOI: https://doi.org/10.1007/978-981-15-3380-8_12

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  • Print ISBN: 978-981-15-3379-2

  • Online ISBN: 978-981-15-3380-8

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