Cycle Time Estimation of a Multiple Product Production Line: An Approach With Fuzzy and Chance-Constrained Programming

This paper presents an approach to estimate the cycle time of a multi-product production line composed of workstations that are subject to random failure and repair. We utilize chance constrained programming (CCP) to establish an upper bound for the stochastic variables and approximate them with int...

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Bibliographic Details
Published in:INFOR. Information systems and operational research Vol. 47; no. 2; pp. 93 - 103
Main Authors: Xu, Min, Abdul-Kader, Walid, Ganjavi, Ozhand
Format: Journal Article
Language:English
Published: Ottawa Taylor & Francis 01.05.2009
INFOR Journal
Canadian Operational Research Society
Subjects:
Assembly lines
chance constraint programming
cycle time estimation
Fuzzy linear programming
Linear programming
Stochastic models
Studies
unreliable production line
ISSN:0315-5986, 1916-0615
Online Access:Get full text
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Summary:This paper presents an approach to estimate the cycle time of a multi-product production line composed of workstations that are subject to random failure and repair. We utilize chance constrained programming (CCP) to establish an upper bound for the stochastic variables and approximate them with interval variables. Fuzzy linear programming (FLP) is utilized to incorporate the interval variables into the optimization model. We discuss and utilize some of the existing methods of determining production line efficiency as the line efficiency is a component of our proposed model. Numerical examples are presented and the results obtained by the modeling approach are then compared and validated with simulation results.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0315-5986
1916-0615
DOI:10.3138/infor.47.2.93