Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2011.12.028
Title: Fuzzy multi-objective vendor selection under lean procurement
Authors: Yu, M.-C.
Goh, M. 
Lin, H.-C.
Keywords: Fuzzy
Lean procurement
Multi-objective programming
Soft time window
Vendor selection
Issue Date: 2012
Source: Yu, M.-C., Goh, M., Lin, H.-C. (2012). Fuzzy multi-objective vendor selection under lean procurement. European Journal of Operational Research 219 (2) : 305-311. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2011.12.028
Abstract: This paper investigates a fuzzy multi-objective vendor selection program under lean procurement based on cost minimization, delivery schedule violation minimization, and maximizing the quality level of the purchased quantity. Specifically, the paper incorporates the vendor production capacity uncertainty into the model to identify an appropriate selection policy for vendors under practical operating conditions. The use of a soft time-window mechanism for the vendor selection model enables decision makers to further incorporate a time based performance metric for vendor evaluation, based on the degree of urgency or need for a part. A solution algorithm using fuzzy AHP is proposed. The results of a numerical example suggest that decision makers prefer vendors who can promise tighter delivery schedules rather than on cost or quality. A sensitivity analysis of the soft time-window on the achievement of the lean procurement objectives is also conducted. © 2012 Elsevier B.V. All rights reserved.
Source Title: European Journal of Operational Research
URI: http://scholarbank.nus.edu.sg/handle/10635/43952
ISSN: 03772217
DOI: 10.1016/j.ejor.2011.12.028
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