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Managing Rentals with Usage-Based Loss

Vincent W. Slaugh (), Bahar Biller () and Sridhar R. Tayur ()
Additional contact information
Vincent W. Slaugh: School of Hotel Administration, Cornell University, Ithaca, New York 14853
Bahar Biller: Global Research Center, General Electric, Niskayuna, New York 12309
Sridhar R. Tayur: Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213

Manufacturing & Service Operations Management, 2016, vol. 18, issue 3, 429-444

Abstract: Motivated by innovative rental business models, we study a rental system with random loss of inventory due to use. We utilize a discrete-time model in which the inventory level is chosen before the start of a finite rental season, and customers not immediately served are lost. Demand, rental durations, and rental unit lifetimes are stochastic; sample path coupling allows us to derive structural results that hold under limited distributional assumptions. Considering different “recirculation” rules (i.e., which unit to select to meet a demand), we prove the concavity of the expected profit function and identify the optimal recirculation rule under two different models of a rental unit’s state: the number of times rented out or its condition. We develop two upper bounds on the number of lost rental units and two heuristics for the inventory decision. Numerical study shows the following: (1) accounting for rental unit loss can increase the expected profit by 7% for a single season; (2) the optimal inventory level in response to increasing loss probability is nonmonotonic; (3) both heuristics perform well; and (4) choosing the optimal recirculation rule over a commonly used policy can increase the profit-maximizing service level by up to six percentage points.

Keywords: service operations; capacity planning and investment; inventory theory and control; supply chain management; stochastic methods (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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http://dx.doi.org/10.1287/msom.2016.0576 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:18:y:2016:i:3:p:429-444

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