DocumentCode
2222445
Title
A simulated annealing approach to supplier selection aware inventory planning
Author
Turk, Seda ; Miller, Simon ; Ozcan, Ender ; John, Robert
Author_Institution
ASAP Research Group, School of Computer Science, University of Nottingham, UK
fYear
2015
fDate
25-28 May 2015
Firstpage
1799
Lastpage
1806
Abstract
Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. Also, appropriate inventory management is critical to the success of a supply chain operation. In recent years, there has been a growing interest in the area of selection of an appropriate vendor and creating good inventory planning using supplier selection information. In this paper, we consider both of these tasks in a two-stage approach employing Interval Type-2 Fuzzy Sets (IT2FS) and Simulated Annealing (SA). In the first stage, the supplier selection problem is solved by using IT2FS for ranking the suppliers. We present an inventory model incorporating information from the first stage that captures the influence of supplier risk on the total cost of supply chain operation. In the second stage, SA is used for solving the inventory planning problem based on this model improving on both supply chain operation cost and supplier risk. In this study, we evaluated our approach using different scenarios and scalarisation techniques for SA to handle two objectives, simultaneously.
Keywords
Fuzzy logic; Fuzzy sets; Gold; Planning; Pragmatics; Supply chains; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2015 IEEE Congress on
Conference_Location
Sendai, Japan
Type
conf
DOI
10.1109/CEC.2015.7257105
Filename
7257105
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