Shakya, Sid and Kassem, Summer and Mohamed, Ahmed and Hagras, Hani and Owusu, Gilbert (2013) Enhancing Field Service Operations via Fuzzy Automation of Tactical Supply Plan. In: Transforming Field and Service Operations. Springer Berlin Heidelberg, pp. 101-114. ISBN 9783642449697. Official URL: https://doi.org/10.1007/978-3-642-44970-3
Shakya, Sid and Kassem, Summer and Mohamed, Ahmed and Hagras, Hani and Owusu, Gilbert (2013) Enhancing Field Service Operations via Fuzzy Automation of Tactical Supply Plan. In: Transforming Field and Service Operations. Springer Berlin Heidelberg, pp. 101-114. ISBN 9783642449697. Official URL: https://doi.org/10.1007/978-3-642-44970-3
Shakya, Sid and Kassem, Summer and Mohamed, Ahmed and Hagras, Hani and Owusu, Gilbert (2013) Enhancing Field Service Operations via Fuzzy Automation of Tactical Supply Plan. In: Transforming Field and Service Operations. Springer Berlin Heidelberg, pp. 101-114. ISBN 9783642449697. Official URL: https://doi.org/10.1007/978-3-642-44970-3
Abstract
Tactical supply planning (TSP) is an integral part of the end-to-end field resource planning process. It takes as input, constrained demand from the strategic plan at monthly (or quarterly) level, decomposes it to daily or weekly level and plans the capacity accordingly to meet the expected demand. The plan is then executed and sent to a work allocation system for on-the-day scheduling of individuals tasks to resources. A tactical supply plan ensures that there are enough resources available in the field on any given day. It highlights underutilised resources and offers recommendations on how best to deploy surplus resources. As such, TSP focuses on improving customer satisfaction by minimising operational cost and maximising right-first-time (RFT) objectives. In this chapter, we describe opportunities and challenges in automating tactical supply planning and present a fuzzy approach to address the challenges. The motivation is to minimise the effort required for producing a resource plan. More importantly, our objective is to leverage computation intelligence to produce optimised supply plan in order to increase RFT and the customer satisfaction.
Item Type: | Book Section |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 22 Jul 2015 15:21 |
Last Modified: | 04 Jun 2024 23:21 |
URI: | http://repository.essex.ac.uk/id/eprint/14413 |