Article ID: | iaor20172735 |
Volume: | 254 |
Issue: | 1 |
Start Page Number: | 533 |
End Page Number: | 552 |
Publication Date: | Jul 2017 |
Journal: | Annals of Operations Research |
Authors: | Deng Yong, Mahadevan Sankaran, Chan Felix, Zhang Xiaoge, Adamatzky Andrew |
Keywords: | combinatorial optimization, heuristics, investment, economics, financial, geography & environment, networks, design, programming: multiple criteria, simulation, biology |
A supplier of products and services aims to minimize the capacity investment cost and the operational cost incurred by unwanted byproducts, e.g. carbon dioxide emission. In this paper, we consider a sustainable supply chain network design problem, where the capacity and the product flow along each link are design variables. We formulate it as a multi‐criteria optimization problem. A bio‐inspired algorithm is developed to tackle this problem. We illustrate how to design a sustainable supply chain network in three steps. First, we develop a generalized model inspired by the foraging behaviour of slime mould