Spatio-Temporal Clustering for Optimizing Time-Sensitive Product Deliverie

Authors

  • Nicholas Chamansingh Department of Computer Science, The University of the West Indies, Trinidad
  • Patrick Hosein Department of Computer Science, The University of the West Indies, Trinidad
  • Elena Dyer Massy Technologies Ltd., Trinidad

DOI:

https://doi.org/10.3126/ijorn.v8i1.51852

Keywords:

Clustering, Optimal Routing, Rate Prediction, Delivery Optimization

Abstract

We consider the problem of optimizing the near-periodic delivery of a product to customers with the additional constraint that there is an estimated deadline for delivery of the product. Delivery after the deadline is unacceptable while early delivery increases the frequency of deliveries which is also not desirable. While satisfying these customer constraints we wish to minimize the resources required by the delivery company to provide this service. In particular, we wish to minimize the total travel distance for delivery of products to customers since this reflects the associated costs of the service.

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Published

2019-12-31

How to Cite

Chamansingh, N., Hosein, P., & Dyer, E. (2019). Spatio-Temporal Clustering for Optimizing Time-Sensitive Product Deliverie. International Journal of Operational Research/Nepal, 8(1), 65–73. https://doi.org/10.3126/ijorn.v8i1.51852

Issue

Vol. 8 No. 1 (2019)

Section

Articles

License

Copyright (c) 2019 International Journal of Operational Research/Nepal

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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