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Cellular manufacturing system design considering machines reliability and parts alternative process routings

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  • Farouq Alhourani

Abstract

Cell formation is an important problem in the design of cellular manufacturing systems (CMS). Most cell formation methods appeared in the literature assume that each part has one process plan, and all machines are 100% reliable with unlimited capacity. However, this is not realistic in manufacturing systems. Considering machines reliability in addition to machines capacity and machine duplicates during the part route selection process help to obtain better machine grouping and minimum total cost for CMS. Considering these factors in addition to operations sequence and production volumes makes the problem more complex but more realistic. Most of the methods appeared in the literature to solve such problems use mathematical programming procedures that take large amount of computational efforts. Procedures using similarity coefficient method are more flexible in incorporating various important production data and lend easily to computer applications. A new similarity coefficient equation that incorporates all these production factors is developed. Also, a procedure that captures the similarity between machine groups and minimises the total CMS cost is developed. The procedure utilises functional cells to eliminate intercellular moves and achieve ‘one-piece flow’ practise. The methodology is compared with other methods in the literature and found to be more effective.

Suggested Citation

  • Farouq Alhourani, 2016. "Cellular manufacturing system design considering machines reliability and parts alternative process routings," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 846-863, February.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:3:p:846-863
    DOI: 10.1080/00207543.2015.1083626
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    Cited by:

    1. Hamzeh Soltanali & A.H.S Garmabaki & Adithya Thaduri & Aditya Parida & Uday Kumar & Abbas Rohani, 2019. "Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing," Journal of Risk and Reliability, , vol. 233(4), pages 682-697, August.
    2. Yihai He & Changchao Gu & Xiao Han & Jiaming Cui & Zhaoxiang Chen, 2017. "Mission reliability modeling for multi-station manufacturing system based on Quality State Task Network," Journal of Risk and Reliability, , vol. 231(6), pages 701-715, December.

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