Many firms are challenged to make inventory decisions with limited data, and high customer service level requirements. This thesis focuses on heuristic solutions for inventory management problems in data-scarce environments, employing rigorous mathematical frameworks and taking advantage of the information that is available in practice but often ignored in literature. We define a class of inventory models and solutions with demonstrable value in helping firms solve these challenges.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/36014 |
| Date | 03 June 2019 |
| Creators | Wang, Le |
| Contributors | Joglekar, Nitin R. |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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