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A produce‐to‐stock system with advance demand information and secondary customers
Authors:Seyed MR Iravani  Tieming Liu  KL Luangkesorn  David Simchi‐Levi
Institution:1. Department of Industrial Engineering and Management Science, Northwestern University, Evanston, IllinoisDepartment of Industrial Engineering and Management Science, Northwestern University, Evanston, Illinois;2. School of Industrial Engineering and Management, Oklahoma State University, Stillwater, Oklahoma;3. Department of Industrial Engineering and Management Science, Northwestern University, Evanston, Illinois;4. Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, Massachusetts
Abstract:We consider a manufacturer (i.e., a capacitated supplier) that produces to stock and has two classes of customers. The primary customer places orders at regular intervals of time for a random quantity, while the secondary customers request a single item at random times. At a predetermined time the manufacturer receives advance demand information regarding the order size of the primary customer. If the manufacturer is not able to fill the primary customer's demand, there is a penalty. On the other hand, serving the secondary customers results in additional profit; however, the manufacturer can refuse to serve the secondary customers in order to reserve inventory for the primary customer. We characterize the manufacturer's optimal production and stock reservation policies that maximize the manufacturer's discounted profit and the average profit per unit time. We show that these policies are threshold‐type policies, and these thresholds are monotone with respect to the primary customer's order size. Using a numerical study we provide insights into how the value of information is affected by the relative demand size of the primary and secondary customers. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007
Keywords:produce‐to‐stock  advance order information  value of information  Markov Decision Process
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