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Multi-Depot Instances for Inventory Routing Problem Using Clustering Techniques

N. M. Noor and A. Shuib
Faculty of Computer and Mathematical Sciences, UiTM Shah Alam, Selangor, Malaysia
Abstract—This paper proposes the development of multi depot test instances using clustering technique, which are single linkage and complete linkage clustering. Current benchmark instances for inventory routing problem are based on single depot. Instances for multi depot problem are still lacking. Originally, there are more than 100 datasets available with different number of customers for that were developed randomly. However, all the datasets are meant for single depot. In this paper, 45 sets of data containing 100 customers were used to create 15 test datasets. These test dataset will be used for validation purposes once the model has been developed. Sample results from these test instances are presented. Results show that multi-depot instances can be obtained and that clustering techniques implemented helps to group the data into the desired numbers of clusters.

Index Terms—inventory routing problem, benchmark instances, multi depot

Cite: N. M. Noor and A. Shuib, "Multi-Depot Instances for Inventory Routing Problem Using Clustering Techniques," Journal of Industrial and Intelligent Information, Vol. 3, No. 2, pp. 97-101, June 2015. doi: 10.12720/jiii.3.2.97-101
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