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DOI: 10.14569/IJACSA.2017.080314
PDF

GIS Utilization for Delivering a Time Condition Products

Author 1: Noha I. Sharaf
Author 2: Bahaa T.Shabana
Author 3: Hazem M. El-Bakry

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 3, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: As population is increasing rapidly all over the world, the need for delivering products is being more difficult especially for conditional products (products with life time). Many Customers require conditional products to be delivered to their locations. Distribution center may have multi depots (multi store branches) instead of one depot. Every depot has limited number of vehicles to minimize cost. Capacities of these vehicles are based on two dimensions (weight and volume). Geographic information system (GIS) is used for localizing customers’ destinations. Then OD Cost Matrix is used to assign every customer destination to the least cost depot to be served from it. Finally Network analyst is used to solve the vehicle routing problem generating final route directions for every vehicle and calculating the best time for lunch break of drivers automatically. This case study is applied on Mansoura city in Egypt.

Keywords: conditional products; distribution centers (depots); capacity of vehicle; vehicle routing problems (VRP); geographic information system (GIS); OD Cost Matrix; Network analyst

Noha I. Sharaf, Bahaa T.Shabana and Hazem M. El-Bakry, “GIS Utilization for Delivering a Time Condition Products” International Journal of Advanced Computer Science and Applications(IJACSA), 8(3), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080314

@article{Sharaf2017,
title = {GIS Utilization for Delivering a Time Condition Products},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080314},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080314},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {3},
author = {Noha I. Sharaf and Bahaa T.Shabana and Hazem M. El-Bakry}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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