How Much Demand Should Be Fulfilled?

We study the inventory replenishment of a product whose demand can be manipulated by restricting the supply. This research is motivated by a novel marketing tactic employed by manufacturers of fashion and luxury items. Such a tactic combines innovative marketing with deliberate understocking in an attempt to create shortages (i.e., waitlists) that add to the allure and sense of exclusivity of a product and stimulate its demand. We model the problem as a finite-horizon, periodic-review system where demand in each period is a decreasing function of the net ending inventory in the previous period. Although the optimal structure can be complex in general, under certain conditions we are able to characterize the optimal policy as a state-dependent, monotone, base-stock policy. We compare this policy with the optimal policy for the case in which demand is independent of the net inventory. We also show that understocking is optimal in various scenarios. We then propose a novel strategy, called the inventory-withholding strategy, to further explore the wait-list effect by making customers wait even when there is inventory on hand to satisfy them. Our numerical experiments study the impact of various model parameters in combination with the wait-list effect on the optimal policy and the corresponding expected profits.

[1]  W. Lovejoy Stopped Myopic Policies in Some Inventory Models with Generalized Demand Processes , 1992 .

[2]  Evan L. Porteus On the Optimality of Generalized s, S Policies , 1971 .

[3]  Lionel Weiss,et al.  The Inventory Problem , 1953 .

[4]  D. Heath,et al.  Modelling the evolution of demand forecasts with application to safety stock analysis in production distribution systems , 1994 .

[5]  Jing-Sheng Song,et al.  Inventory Planning with Forecast Updates: Approximate Solutions and Cost Error Bounds , 2006, Oper. Res..

[6]  Christopher S. Tang,et al.  Introduction to the Special Issue on Marketing and Operations Management Interfaces and Coordination , 2004, Manag. Sci..

[7]  Yunzeng Wang,et al.  Periodic‐review inventory models with inventory‐level‐dependent demand , 1994 .

[8]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[9]  Katy S. Azoury Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution , 1985 .

[10]  Yigal Gerchak,et al.  Optimal control approach to production systems with inventory-level-dependent demand , 2002, IEEE Trans. Autom. Control..

[11]  Christopher S. Tang,et al.  The Value of Information Sharing in a Two-Level Supply Chain , 2000 .

[12]  Paul H. Zipkin,et al.  Inventory Control with Information About Supply Conditions , 1996 .

[13]  S. Resnick A Probability Path , 1999 .

[14]  Stergios B. Fotopoulos,et al.  Safety stock determination with correlated demands and arbitrary lead times , 1988 .

[15]  R. Güllü On the value of information in dynamic production/inventory problems under forecast evolution , 1996 .

[16]  W. H. Hausman,et al.  Optimal centralized ordering policies in multi-echelon inventory systems with correlated demands , 1990 .

[17]  Herbert E. Scarf,et al.  Inventory Models of the Arrow-Harris-Marschak Type with Time Lag , 2005 .

[18]  J. Kiefer,et al.  The Inventory Problem: II. Case of Unknown Distributions of Demand , 1952 .

[19]  James A. Kahn Inventories and the volatility of production , 1986 .

[20]  G. Reyman State reduction in a dependent demand inventory model given by a time series , 1989 .

[21]  Suresh P. Sethi,et al.  Optimality of (s, S) Policies in Inventory Models with Markovian Demand , 1995, Oper. Res..

[22]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[23]  Tetsuo Iida,et al.  Approximate Solutions of a Dynamic Forecast-Inventory Model , 2006, Manuf. Serv. Oper. Manag..

[24]  H. Scarf Some remarks on bayes solutions to the inventory problem , 1960 .

[25]  K. Arrow,et al.  Optimal Inventory Policy. , 1951 .

[26]  Hau L. Lee,et al.  Optimal Policies and Approximations for a Serial Multiechelon Inventory System with Time-Correlated Demand , 2003, Oper. Res..

[27]  Hau L. Lee,et al.  Lot Sizing with Random Yields: A Review , 1995, Oper. Res..

[28]  J. Eliashberg,et al.  Marketing-production joint decision-making , 1993 .

[29]  Bruce L. Miller,et al.  Scarf's State Reduction Method, Flexibility, and a Dependent Demand Inventory Model , 1986, Oper. Res..

[30]  Kamran Moinzadeh,et al.  A Supply Chain Model with Reverse Information Exchange , 2005, Manuf. Serv. Oper. Manag..

[31]  H. Scarf Bayes Solutions of the Statistical Inventory Problem , 1959 .

[32]  Stephen C. Graves,et al.  TWO-STAGE PRODUCTION PLANNING IN A DYNAMIC ENVIRONMENT , 1985 .

[33]  W. Lovejoy Myopic policies for some inventory models with uncertain demand distributions , 1990 .

[34]  Oliver Alfred Gross,et al.  On the Optimal Inventory Equation , 1955 .

[35]  Anantaram Balakrishnan,et al.  "Stack Them High, Let 'em Fly": Lot-Sizing Policies When Inventories Stimulate Demand , 2004, Manag. Sci..

[36]  Jing-Sheng Song,et al.  Inventory Control in a Fluctuating Demand Environment , 1993, Oper. Res..

[37]  Howard E. Thompson,et al.  Optimality of Myopic Inventory Policies for Certain Dependent Demand Processes , 1975 .

[38]  Lawrence M. Wein,et al.  Analysis of a Forecasting-Production-Inventory System with Stationary Demand , 2001, Manag. Sci..