Optimizing Field Productivity by Mobile Warehouse Deployment Using Evolutionary Algorithms

Siddhartha Shakya, Beum Seuk Lee, Gilbert Owusu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Service organizations such as telecom or utility companies require uninterrupted availability of spare parts to maintain their service. It is very important for them to have right spares available at the right time at the right place. Spare parts are normally kept in a warehouse and it is crucial that the warehouses are also located in the right place, where they can provide maximum value to the business. Warehouses are increasingly getting smaller and mobile in their nature, which can be quickly deployed and redeployed to different locations in a very short time. Finding the optimal deployment locations of the warehouses quickly can be challenging, especially when there are a large number of storages involved. In this work, we present an evolutionary algorithm based approach to deploy a large number of mobile warehouses. The resulting tool can be periodically utilized to relocate them to different locations according to changing business requirements, at the same time providing a significantly better quality of design in comparison to a typical traditional manual mechanism. The presented solution is incorporated into a system called Intuit Strategic Planner that is operational at a major UK telecom and has contributed to a significant cost saving for the business.

Original languageBritish English
Title of host publication2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1652-1659
Number of pages8
ISBN (Electronic)9781728124858
DOIs
StatePublished - Dec 2019
Event2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019 - Xiamen, China
Duration: 6 Dec 20199 Dec 2019

Publication series

Name2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019

Conference

Conference2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
Country/TerritoryChina
CityXiamen
Period6/12/199/12/19

Keywords

  • evolutionary algorithms
  • facility deployment
  • inventory management
  • real world applications

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