A Physarum-inspired approach to supply chain network design
Article
Zhang, X., Adamatzky, A., Yang, X., Yang, H., Mahadevan, S. and Deng, Y. 2016. A Physarum-inspired approach to supply chain network design. SCIENCE CHINA Information Sciences. 59 (5). https://doi.org/10.1007/s11432-015-5417-4
Type | Article |
---|---|
Title | A Physarum-inspired approach to supply chain network design |
Authors | Zhang, X., Adamatzky, A., Yang, X., Yang, H., Mahadevan, S. and Deng, Y. |
Abstract | A supply chain is a system which moves products from a supplier to customers, which plays a very important role in all economic activities. This paper proposes a novel algorithm for a supply chain network design inspired by biological principles of nutrients’ distribution in protoplasmic networks of slime mould Physarum polycephalum. The algorithm handles supply networks where capacity investments and product flows are decision variables, and the networks are required to satisfy product demands. Two features of the slime mould are adopted in our algorithm. The first is the continuity of flux during the iterative process, which is used in real-time updating of the costs associated with the supply links. The second feature is adaptivity. The supply chain can converge to an equilibrium state when costs are changed. Numerical examples are provided to illustrate the practicality and flexibility of the proposed method algorithm. |
Keywords | supply chain design; Physarum; capacity investments; network optimization; adaptivity |
Publisher | Springer |
Journal | SCIENCE CHINA Information Sciences |
ISSN | 1674-733X |
Electronic | 1869-1919 |
Publication dates | |
Online | 12 Apr 2016 |
May 2016 | |
Publication process dates | |
Deposited | 21 Apr 2016 |
Accepted | 30 Jun 2015 |
Submitted | 25 Mar 2014 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | The final publication is available at Springer via http://dx.doi.org/10.1007/s11432-015-5417-4 |
Additional information | Article number = 052203 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s11432-015-5417-4 |
Web of Science identifier | WOS:000375885400021 |
Language | English |
https://repository.mdx.ac.uk/item/8648w
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