Paper Info
Title
A fuzzy-based decision support model for monitoring on-time delivery performance: A textile industry case study.
Abstract
This paper investigates uncertainties in complex supply chain situations and proposes a fuzzy-based decision support model for determining the chance of meeting on-time delivery in a complex supply chain environment. It integrates fuzzy logic principles and unitary structure-based supply chain model and enables addressing uncertainties associated with key inputs of on-time delivery performance for effective decision making process. The proposed pragmatic model deals with the fuzziness of the key inputs including, variations in demand forecasting, materials shortages and distribution lead time, and combines a fuzzy reasoning approach for monitoring on-time delivery of finished products. In systematically dealing with the uncertainties of complex supply chains, this model supports the minimizing of business losses that result from penalties and customer dissatisfaction, and the consequent reduced market share. Application of the proposed model is illustrated using a textile industry case study. (C) 2012 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2013
10.1016/j.ejor.2012.10.010
European Journal of Operational Research
Keywords
Field
DocType
Supply chain management,Integrated network,Fuzzy expert system
Delivery Performance,Demand forecasting,Fuzzy logic,Decision support system,Operations research,Supply chain management,Lead time,Supply chain,Market share,Operations management,Mathematics
Journal
Volume
Issue
ISSN
225
3
0377-2217
Citations 
PageRank 
References 
7
0.45
12
Authors
3
Name
Order
Citations
PageRank
Dilupa Nakandala1378.04
Premaratne Samaranayake2194.11
Henry C. W. Lau330133.27