Leveraging AI for Asset and Inventory Optimisation
Sid Shakya, Anne Liret, Gilbert Owusu
Chapter from the book: Wang Y. & Pettit S. 2022. Digital Supply Chain Transformation: Emerging Technologies for Sustainable Growth.
Chapter from the book: Wang Y. & Pettit S. 2022. Digital Supply Chain Transformation: Emerging Technologies for Sustainable Growth.
This chapter considers how Artificial Intelligence (AI) can be used to optimise assets and inventory. It looks at how a business such as BT deals with the key resources that service organizations such as telecommunications companies maintain: their assets and inventories. In the discussion the authors address both strategic and operational dimensions of the deployment challenge for such companies. From a strategic perspective there is a need to deploy fixed assets for optimal performance; at the same time, from an operational perspective, there is a need to replenish inventory to be able to deliver services in line with customer service level agreements. This creates a ‘combinatorial optimization problem’ which, it is suggested, makes AI a useful technology for solving such problems for operational use.
Shakya, S et al. 2022. Leveraging AI for Asset and Inventory Optimisation. In: Wang Y. & Pettit S (eds.), Digital Supply Chain Transformation. Cardiff: Cardiff University Press. DOI: https://doi.org/10.18573/book8.c
This chapter distributed under the terms of the Creative Commons Attribution + Noncommercial + NoDerivatives 4.0 license. Copyright is retained by the author(s)
This book has been peer reviewed. See our Peer Review Policies for more information.
Published on Aug. 23, 2022