Material Supply Network Optimization in the Energy and Utility Industry

Haitao Li ()
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Haitao Li: University of Missouri

A chapter in Handbook of Smart Energy Systems, 2023, pp 1155-1173 from Springer

Abstract: Abstract The energy and utility industry has a significant need for efficient and resilient material supply networks in today’s competitive markets and volatile business environment. We identify three unique features and challenges in managing a utility company’s material supply network: contracting and business rules, rising and varying demands, and supply disruption risks. Mathematical programming based optimization models are presented to address them. A case study at a Fortune 500 utility company is presented to showcase the application of an integrated location-inventory optimization model and its capability for data-drive decision-support. Future research opportunities are discussed.

Keywords: Material supply network design; Facility location; Inventory optimization; Supply disruption; Mixed-integer programming; Stochastic programming (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_151

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DOI: 10.1007/978-3-030-97940-9_151

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