DocumentCode
2417235
Title
Establish An Adaptive (s,S) Production System Under Imperfect Production Conditions By Fuzzy Analytic Hierarchy Process
Author
Chen, Yee-Ming ; Lin, Chun-Ta ; Lo, Chih-Yao ; Wu, Chen-Feng ; Chang, Yu-Teng
Author_Institution
Yuan-Ze Univ., Taoyuan
fYear
0
fDate
0-0 0
Firstpage
962
Lastpage
968
Abstract
Traditionally, the EPQ model is the most widely used method to solve the production problem. This model is based on ideal production process conditions, with the final products within the specifications and without any defects and the result is significantly different from the actual production system. In reality, a manufacturer encounters a number of uncertainties, such as quality variance, equipment unreliability, and defects and shortage incurred from imperfect production planning, implementation, and processing. Over the past few decades, majority of related EQP studies, based on a single factor or multiple factors, were too complicated to use. This publication is intended to investigate the possible alternatives on imperfect production and quality variance in the production environment by using Fuzzy AHP to evaluate the most critical alternatives. The EPQ model based on these critical factors will determine the alternatives for the optimum Economic Production Quantity, meanwhile an adaptive (s, S) production system can be determined accordingly.
Keywords
adaptive systems; fuzzy set theory; industrial economics; production planning; statistical analysis; EPQ model; adaptive production system; equipment unreliability; fuzzy analytic hierarchy process; optimum economic production quantity; production planning; production process condition; quality variance; Adaptive systems; Cost function; Environmental economics; Fuzzy systems; Manufacturing processes; Production planning; Production systems; Raw materials; Uncertainty; Waste materials;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9488-7
Type
conf
DOI
10.1109/FUZZY.2006.1681827
Filename
1681827
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