Please use this identifier to cite or link to this item: https://doi.org/10.1021/ie9003688
Title: Entropy-based optimization of decentralized supply-chain networks
Authors: Sundar Raj, T. 
Lakshminarayanan, S. 
Issue Date: 7-Apr-2010
Source: Sundar Raj, T., Lakshminarayanan, S. (2010-04-07). Entropy-based optimization of decentralized supply-chain networks. Industrial and Engineering Chemistry Research 49 (7) : 3250-3261. ScholarBank@NUS Repository. https://doi.org/10.1021/ie9003688
Abstract: Supply-chain operations are intricate and complex due to exogenous and endogenous uncertainties. The prime weakness in a decentralized supply chain arises due to lack of consideration of the uncertainty generation and transmission between supply-chain entities. Ineffective internal strategies carry the uncertainties beyond the boundaries of the supply-chain entity and consequently affect predictability of supply-chain behavior, customer satisfaction, and cost. Previous attempts made to enhance the supply-chain performance by optimizing the replenishment strategy do not pay attention to the issue of increasing uncertainty and consequent operational complexity in the system. The storage and flow of uncertainty must therefore be controlled and managed effectively. The minimization of complexity in supply chains using Shannon's entropy-based measures by tweaking supply-chain decision parameters (replenishment parameters) is a unique aspect of this work. As a result, the predictability of the supply chain is improved. Four complexity management strategies (S-I to S-IV) are proposed and analyzed to understand their benefits under diverse business scenarios. Our investigations demonstrate that the strategy which aims to minimize an additive measure of information and material flow complexity outperforms other complexity management strategies under all business scenarios. © 2010 American Chemical Society.
Source Title: Industrial and Engineering Chemistry Research
URI: http://scholarbank.nus.edu.sg/handle/10635/63853
ISSN: 08885885
DOI: 10.1021/ie9003688
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

6
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

5
checked on Nov 18, 2017

Page view(s)

29
checked on Dec 17, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.