| Article ID: | iaor20171384 |
| Volume: | 27 |
| Issue: | 2 |
| Start Page Number: | 239 |
| End Page Number: | 261 |
| Publication Date: | Apr 2017 |
| Journal: | International Journal of Services and Operations Management |
| Authors: | Hassan Adnan, Soleimaninanadegany Amin, Galankashi Masoud Rahiminezhad |
| Keywords: | combinatorial optimization, heuristics: genetic algorithms, allocation: resources |
In spite of the vast amount of researches on product allocation to distribution centres, allocating different products by considering different scenarios to plan the cross docking and warehouse operations is less investigated. To fill this gap, this research was conducted rationally to allocate different products to a distribution centre aligned with analysing different scenarios. The research case study was a distribution centre located in the South East of Asia supplying 19 different products (Li et al., 2008). A genetic algorithm was used to allocate different products to both cross dock and warehouse considering processing cost, demand, capacity and related constraints.