@inproceedings{d6d41cb9891a4cc9ba326e1ab92db0b1,
title = "Optimizing Field Productivity by Mobile Warehouse Deployment Using Evolutionary Algorithms",
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.",
keywords = "evolutionary algorithms, facility deployment, inventory management, real world applications",
author = "Siddhartha Shakya and Lee, {Beum Seuk} and Gilbert Owusu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019 ; Conference date: 06-12-2019 Through 09-12-2019",
year = "2019",
month = dec,
doi = "10.1109/SSCI44817.2019.9003172",
language = "British English",
series = "2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1652--1659",
booktitle = "2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019",
address = "United States",
}