Paper Info
Title
Two-Phase Selection Framework That Considers Production Costs Of Suppliers And Quality Requirements Of Buyers
Abstract
Buyers are faced with selecting the optimal supplier, while suppliers are left to consider production costs. In this study, we developed a two-phase selection framework that allows buyers to evaluate the performance of suppliers while taking production costs into account for value maximisation. This scheme is a win-win solution capable of promoting long-term relationships between buyers and suppliers. Under the assumption of normality, the first phase involves constructing a new Six Sigma quality capability analysis chart (SSQCAC) which takes production costs into account. The objective is to evaluate all potential suppliers using the 100 x (1-alpha)% upper confidence limit (UCL) of an integrated Six Sigma quality index (SSQI) Q(PIh) when dealing with products with smaller-the-better (STB), larger-the-better (LTB), or nominal-the-best (NTB) quality characteristics. According to interval estimation theory, this method can have a significant impact on the consumption of resources; i.e. the production costs of the supplier can be decreased by reducing the production quality to below that required by the buyer. The proposed method also filters out unsuitable suppliers in order to simplify the decision problem and reduce computational demands and operational risks/costs without compromising the quality of the final product. In the second phase, a detailed analysis is conducted using Euclidean distance measure to select the optimal supplier from among the remaining candidates. We conducted a real-world case study to evaluate the efficacy of the proposed method. We also conducted comparisons with existing methods to demonstrate the advantages of the proposed method and its managerial implications. Suggestions for future study are also provided.
Year
DOI
Venue
2019
10.1080/00207543.2019.1566663
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Keywords
DocType
Volume
supplier selection, Six Sigma quality index, process capability index, Euclidean distance
Journal
57
Issue
ISSN
Citations 
20
0020-7543
0
PageRank 
References 
Authors
0.34
22
3
Name
Order
Citations
PageRank
Chun-Ming Yang100.68
K.S. Chen2409.35
K.S. Chen3409.35