Paper Info
Title
Establish An Adaptive (s, S) Production System Under Imperfect Production Conditions By Fuzzy Analytic Hierarchy Process.
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.
Year
DOI
Venue
2006
10.1109/FUZZY.2006.1681827
FUZZ-IEEE
Keywords
Field
DocType
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
Critical factors,Imperfect,Computer science,Adaptive system,Operations research,Fuzzy set,Scheduling (production processes),Production planning,Artificial intelligence,Economic production quantity,Fuzzy analytic hierarchy process,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
2
5
Name
Order
Citations
PageRank
Yee Ming Chen1648.33
Chun-Ta Lin2252.25
Chih-Yao Lo383.75
Chen-Feng Wu493.30
Yu-Teng Chang5165.17