Optimization is great for many things but terrible at capturing uncertainty and implementing recommendations on its own. Implementing optimization recommendations still requires a big dose of, “Well, ...
This concentration is intended to prepare students for modeling and simulating various problems related to supply chain management, such as procurement, manufacturing, logistics and distribution, ...
This paper studies a single-item multi-period inventory model in which future prices of the purchased item are assumed to be determined by a Markovian stochastic process instead of being known with ...
Paritosh Shinde is advancing supply chain resilience at Reckitt with AI, simulation, digital twins, and climate-aware ...
This is a preview. Log in through your library . Abstract This paper considers the optimal deterministic inventory policy for a monopolist. The novel element concerns the consumers. Each has a time at ...
Shane A. Fiorenza, Daniel G. Steckhahn,and Meredith D. Betterton (2021). European Physical Journal E 44,105. DOI: 10.1140/epje/s10189-021-00097-8. BioRxiv link ...
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