Robust Newsvendor Problem in Global Market: Stable Operation Strategy for a Two-Market Stochastic System
Xiaoli Yan

TL;DR
This paper develops a robust, closed-form operational strategy model for enterprises managing sales across two global markets with different seasons, risks, and exchange rate uncertainties, ensuring stable supply chain performance.
Contribution
It introduces a global robust newsvendor model with explicit solutions that account for market risks, demand relationships, and exchange rate impacts, enhancing operational stability.
Findings
Demand correlation and lack of demand info have minimal impact on strategy.
Reducing tariffs or logistics costs influences capacity planning.
Secondary market presence affects primary market capacity planning.
Abstract
The global markets provide enterprises with selling opportunities and challenges in stabilizing operational strategies. From the perspective of production management, it is important to improve the profitability of an enterprise by exploiting the different timing of the selling season in different markets to develop an operational strategy that is optimized and configured on a global scale. This paper examines the above issue with an insightful model of selling the product to two markets (a primary and a secondary market) with multiple risks of changes in the market environment and nonoverlapping selling seasons. We refer to this problem as the "global robust newsvendor" problem. We provide closed-form solutions of the optimal operation strategy for demand-independent and demand-related scenarios for the above two market stochastic systems. The closed-form solutions fully reflect the…
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Taxonomy
TopicsSupply Chain and Inventory Management · Risk and Portfolio Optimization
