Article ID: | iaor20162722 |
Volume: | 24 |
Issue: | 3 |
Start Page Number: | 363 |
End Page Number: | 378 |
Publication Date: | Jun 2016 |
Journal: | International Journal of Services and Operations Management |
Authors: | Shahsavari Ameneh |
Keywords: | combinatorial optimization, demand, location |
This paper proposes an extensive model for optimal design and reconfiguration of supply networks. The possibility of including consumers' locations in optimisation is addressed and various conditions such as uncertain (fuzzy) demands and geographical factors are considered. For optimisation task a novel method based on the motion of groups of charged particles is proposed. The proposed algorithm is specialised for supply network location and planning problems in which the resource and demand nodes are modelled as particles with opposite charges.