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A simulated annealing approach to supplier selection aware inventory planning

Turk, Seda; Miller, Simon; Özcan, Ender; John, Robert

Authors

Seda Turk

Simon Miller

Robert John



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.

Publication Date May 25, 2015
Peer Reviewed Peer Reviewed
Book Title 2015 IEEE Congress on Evolutionary Computation (CEC)
APA6 Citation Turk, S., Miller, S., Özcan, E., & John, R. (2015). A simulated annealing approach to supplier selection aware inventory planning. In 2015 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/CEC.2015.7257105
DOI https://doi.org/10.1109/CEC.2015.7257105
Publisher URL http://dx.doi.org/10.1109/CEC.2015.7257105
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
Additional Information Published in: 2015 IEEE Congress on Evolutionary Computation (CEC) proceedings, 25-28 May 2015, Sendai, Japan. IEEE, 2015, ISBN 9781479974924, pp. 1799-1806.
doi:10.1109/CEC.2015.7257105

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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