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Managing Demand Risk in Tactical Supply Chain Planning for a Global Consumer Electronics Company
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In this article, the problem of managing demand risk in tactical supply chain planning for a particular global consumer electronics company is considered, where the company follows a deterministic replenishment-and-planning process despite considerable demand uncertainty.Abstract:
We consider the problem of managing demand risk in tactical supply chain planning for a particular global consumer electronics company. The company follows a deterministic replenishment-and-planning process despite considerable demand uncertainty. As a possible way to formally address uncertainty, we provide two risk measures, “demand-at-risk” (DaR) and “inventory-at-risk” (IaR) and two linear programming models to help manage demand uncertainty. The first model is deterministic and can be used to allocate the replenishment schedule from the plants among the customers as per the existing process. The other model is stochastic and can be used to determine the “ideal” replenishment request from the plants under demand uncertainty. The gap between the output of the two models as regards requested replenishment and the values of the risk measures can be used by the company to reallocate capacity among different products and to thus manage demand/inventory risk.read more
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TL;DR: This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability to help students develop an intuition on how to model uncertainty into mathematical problems.
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The Value of Information Sharing in a Two-Level Supply Chain
TL;DR: In this article, a simple two-level supply chain with nonstationary end demands is analyzed and the authors show that the value of demand information sharing can be quite high, especially when demands are significantly correlated over time.
Journal ArticleDOI
Managing Disruption Risks in Supply Chains
TL;DR: In this paper, the authors provide a conceptual framework that reflects the joint activities of risk assessment and risk mitigation that are fundamental to disruption risk management in supply chains, and consider empirical results from a rich data set covering the period 1995-2000 on accidents in the U. S. Chemical Industry.
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