Optimal part family and production module planning for reconfigurable manufacturing systems

Jian Liu, Wencai Wang, Derek M. Yip-Hoi, Li Tang

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

Manufactures are adopting Reconfigurable Manufacturing Systems (RMS) to better cope with frequently changing market conditions, which place tremendous demands on a system's flexibility as well as its cost-effectiveness. Considerable efforts have been devoted to the development of necessary tools for the system level design and performance improvement, resulting in approaches to designing a single RMS. In this paper, a methodology for cost-effective reconfiguration planning for multi-module-multi-product RMS's that best reflect the market demand changes is proposed. Formulated as an optimization procedure, reconfiguration planning is defined as the best reallocation of part families to production modules in an RMS and the best rebalancing of the whole system and each individual module to achieve minimum related cost and simultaneously satisfy the market demand. A Genetic Algorithm (GA) approach is proposed to overcome the computational difficulties caused by the problem complexity. Effectiveness of the proposed methodology is demonstrated with a case study.

Original languageEnglish (US)
StatePublished - Nov 28 2006
Externally publishedYes
EventInternational Conference on Manufacturing Science and Engineering, MSEC 2006 - Ypsilanti, MI, United States
Duration: Oct 8 2006Oct 11 2006

Other

OtherInternational Conference on Manufacturing Science and Engineering, MSEC 2006
CountryUnited States
CityYpsilanti, MI
Period10/8/0610/11/06

ASJC Scopus subject areas

  • Engineering(all)

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    Liu, J., Wang, W., Yip-Hoi, D. M., & Tang, L. (2006). Optimal part family and production module planning for reconfigurable manufacturing systems. Paper presented at International Conference on Manufacturing Science and Engineering, MSEC 2006, Ypsilanti, MI, United States.