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arXiv · 2010.16369

Distributionally Robust Newsvendor with Moment Constraints

Derek Singh·Shuzhong Zhang
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Abstract

This paper expands the work on distributionally robust newsvendor to incorporate moment constraints. The use of Wasserstein distance as the ambiguity measure is preserved. The infinite dimensional primal problem is formulated; problem of moments duality is invoked to derive the simpler finite dimensional dual problem. An important research question is: How does distributional ambiguity affect the optimal order quantity and the corresponding profits/costs? To investigate this, some theory is developed and a case study in auto sales is performed. We conclude with some comments on directions for further research.

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Derek Singh, Shuzhong Zhang. 2020-10-30. Distributionally Robust Newsvendor with Moment Constraints. https://arxiv.org/abs/2010.16369

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