J
Jan A. Van Mieghem
Researcher at Northwestern University
Publications - 129
Citations - 5840
Jan A. Van Mieghem is an academic researcher from Northwestern University. The author has contributed to research in topics: Flexibility (engineering) & Investment (macroeconomics). The author has an hindex of 34, co-authored 123 publications receiving 5258 citations.
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Commissioned Paper: Capacity Management, Investment, and Hedging: Review and Recent Developments
TL;DR: In this paper, the authors review the literature on strategic capacity management concerned with determining the sizes, types, and timing of capacity investments and adjustments under uncertainty, and incorporate risk aversion in capacity investment and contrast hedging strategies involving financial versus operational means.
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Price Versus Production Postponement: Capacity and Competition
Jan A. Van Mieghem,Maqbool Dada +1 more
TL;DR: In this paper, a comparative analysis of possible postponement strategies in a two-stage decision model where firms make three decisions: capacity investment, production (inventory) quantity, and price is presented.
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Coordinating Investment, Production, and Subcontracting
Sesh Murthy,Rama Akkiraju,Richard Goodwin,Pinar Keskinocak,John Rachlin,Frederick Y. Wu,James Tien-Cheng Yeh,Robert M. Fuhrer,Santhosh Kumaran,Alok Aggarwal,Martin C. Sturzenbecker,Ranga Jayaraman,Robert Daigle,Jan A. Van Mieghem +13 more
TL;DR: In this paper, the authors analyze and present outsourcing conditions for three contract types: (1) price-only contracts where an ex-ante transfer price is set for each unit supplied by the subcontractor, (2) incomplete contracts, where both parties negotiate over the subcontracting transfer, and (3) state-dependent contracts for which they show an equivalence result.
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Investment Strategies for Flexible Resources
TL;DR: In this article, the optimal investment in flexible manufacturing capacity as a function of product prices (margins), investment costs and multivariate demand uncertainty is studied, and it is shown that it can be advantageous to invest in flexible resources even with perfectly positively correlated product demands.
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Dynamic Scheduling with Convex Delay Costs: The Generalized $c|mu$ Rule
TL;DR: In this article, a general single-server multiclass queueing system is considered and a scheduling policy that minimizes the total cumulative delay cost when the system operates during a finite time horizon is derived, and the optimality result holds for a countable number of classes and several homogeneous servers in a nonstationary, deterministic or stochastic environment where arrival and service processes can be general and interdependent.