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Joint Production and Maintenance Decision-Making in Mixed-Model Assembly Systems

[+] Author Affiliations
Xi Gu

University of Michigan, Ann Arbor, MI

Weihong Guo

Rutgers University, Piscataway, NJ

Paper No. MSEC2017-2940, pp. V003T04A013; 8 pages
doi:10.1115/MSEC2017-2940
From:
  • ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
  • Volume 3: Manufacturing Equipment and Systems
  • Los Angeles, California, USA, June 4–8, 2017
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5074-9
  • Copyright © 2017 by ASME

abstract

Mixed-model assembly systems (MMASs) have been well recognized for their ability to handle product variants, and thus are particularly useful to meet the requirement brought by mass personalization. However, operational decision-making in MMASs is challenging due to the system complexity. Production selection and maintenance are two important operational decisions. In this paper, we investigate the joint production and maintenance policies in MMASs that consist of both common and variant operation stations. Markov Decision Process (MDP) is used to formulate the problem and numerical examples are presented to illustrate the structure of the policy in an MMAS that produces two types of product variants.

Copyright © 2017 by ASME

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