Bounitsis, Georgios L; Lee, Yena; Thyagarajan, Karthik; Pinto, Jose M; Papageorgiou, Lazaros G; Charitopoulos, Vassilis M; (2023) Distribution planning of medical oxygen supply chains under uncertainty. In: Kokossis, Antonios C and Georgiadis, Michael C and Pistikopoulos, Efstratios, (eds.) Computer Aided Chemical Engineering. (pp. 3387-3392). Elsevier: Amsterdam, The Netherlands.

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Abstract

Recently, supply chain operations of medical products were put to test over the extreme uncertainties that COVID-19 pandemic induced. For instance, medical oxygen distribution to hospitals involves complex decision making due to volatility, which concern both industrial gas manufacturers and healthcare managers. In this work, we address the production and inventory routing problem (PIRP) of medical oxygen under demand uncertainty. A two-stage stochastic programming (TSSP) formulation is proposed where inventory decisions are set as the here-and-now variables. Uncertainty is captured via a novel framework, which exploits demand's forecasts and is coupled with data-driven scenario generation approaches. The methodology is examined on a case-study of medical oxygen distribution to hospitals in the UK during COVID-19 pandemic.

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