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Multi-resource investment strategies: Operational hedging under demand uncertainty
Institution:1. Lally School of Management, Rensselaer Polytechnic Institute, Troy, NY 12180, United States;2. Fordham University, Bank of Finland and University of Sydney, New York, NY 10023, United States;3. Muma College of Business, University of South Florida, Tampa, FL 33620, United States;4. The Peter J. Tobin College of Business, St. John''s University, Queens, NY 11439, United States;1. School of Industrial Engineering and Management, Oklahoma State University Stillwater, OK 74078, USA;2. Department of Industrial Engineering and Operations Research, University of California, Berkeley Berkeley, CA 94720, USA
Abstract:Consider a firm that markets multiple products, each manufactured using several resources representing various types of capital and labor, and a linear production technology. The firm faces uncertain product demand and has the option to dynamically readjust its resource investment levels, thereby changing the capacities of its linear manufacturing process. The cost to adjust a resource level either up or down is assumed to be linear. The model developed here explicitly incorporates both capacity investment decisions and production decisions, and is general enough to include reversible and irreversible investment. The product demand vectors for successive periods are assumed to be independent and identically distributed. The optimal investment strategy is determined with a multi-dimensional newsvendor model using demand distributions, a technology matrix, prices (product contribution margins), and marginal investment costs. Our analysis highlights an important conceptual distinction between deterministic and stochastic environments: the optimal investment strategy in our stochastic model typically involves some degree of capacity imbalance which can never be optimal when demand is known.
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