This paper attempts to establish a quantitative relationship between output indicators such as automated-guided vehicle (AGV) utilization and input variables like part arrival rate, processing times at machining centers, and various decision rules employed at AGV and Resources in a dynamic dedicated flexible manufacturing system (FMS). Dummy data are generated and the system is simulated to produce the output indicator for a given set of input variables and decision rules. Design and controlling of a FMS require much investment. So it is essential to make best decisions for selection of a FMS option. The proposed Principle Component Analysis is performed on a dataset that contains requirement of FMS alternatives.
Designing and Controlling the Performance of FMS: Application of Principle Component Analysis
Lect.Notes Mechanical Engineering
Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering ; Kapitel : 27 ; 215-223
2014-05-03
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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