Premium
A systematic approach to determine the optimal maintenance policy for an automated manufacturing system
Author(s) -
Chien T. William,
Lin Chinho,
Sphicas Georghios
Publication year - 1997
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/(sici)1099-1638(199707)13:4<225::aid-qre106>3.0.co;2-x
Subject(s) - taguchi methods , metamodeling , fractional factorial design , cellular manufacturing , queueing theory , preventive maintenance , computer science , orthogonal array , manufacturing engineering , industrial engineering , engineering , reliability engineering , operations research , factorial experiment , machine learning , software engineering , computer network
We propose a systematic approach to determine the optimal maintenance policy for an automated manufacturing system which includes a flexible manufacturing cell (FMC) and several automated machine shops. The systematic approach combines simulation, fractional factorial design, noise or outer array of Taguchi design, regression metamodelling, and classical queueing analysis. A useful expression of the fractional utilization of the manufacturing system is derived and incorporated into formulating and solving the corresponding decision problem. The systematic approach provides an effective implementation procedure to handle practical maintenance problems found in a complex manufacturing environment. © 1997 John Wiley & Sons, Ltd.