Traditional Inventory Models in an E-Retailing Setting: A Two-Stage Serial System with Space Constraints

In an e-retailing setting, the efficient utilization of inventory, storage space, and labor is paramount to achieving high levels of customer service and company profits. To optimize the storage space and labor, a retailer will split the warehouse into two storage regions with different densities. One region is for picking customer orders and the other to hold reserve stock. As a consequence, the inventory system for the warehouse is a multi-item two-stage, serial system. We investigate the problem when demand is stochastic and the objective is to minimize the total expected average cost under some space constraints. We generate an approximate formulation and solution procedure for a periodic review, nested ordering policy, and provide managerial insights on the trade-offs. In addition, we extend the formulation to account for shipping delays and advanced order information.

[1]  Awi Federgruen,et al.  Allocation policies and cost approximations for multilocation inventory systems , 1984 .

[2]  Paul H. Zipkin,et al.  Approximations of Dynamic, Multilocation Production and Inventory Problems , 1984 .

[3]  P. Jackson Stock allocation in a two-echelon distribution system or “What to do until your ship comes in” , 1988 .

[4]  Paul H. Zipkin,et al.  Estimating the Performance of Multi-Level Inventory Systems , 1988, Oper. Res..

[5]  A. G. Lagodimos,et al.  Stock allocation in a two-echelon distribution system , 1994 .

[6]  Craig C. Sherbrooke,et al.  Metric: A Multi-Echelon Technique for Recoverable Item Control , 1968, Oper. Res..

[7]  Uday S. Rao,et al.  Properties of the Periodic Review (R, T) Inventory Control Policy for Stationary, Stochastic Demand , 2003, Manuf. Serv. Oper. Manag..

[8]  Herbert E. Scarf,et al.  Optimal Policies for a Multi-Echelon Inventory Problem , 1960, Manag. Sci..

[9]  Yu-Sheng Zheng On properties of stochastic inventory systems , 1992 .

[10]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .

[11]  A. Federgruen Chapter 3 Centralized planning models for multi-echelon inventory systems under uncertainty , 1993, Logistics of Production and Inventory.

[12]  Arthur F. Veinott,et al.  Analysis of Inventory Systems , 1963 .

[13]  Felipe K. Tan Optimal Policies for a Multi-Echelon Inventory Problem with Periodic Ordering , 1974 .

[14]  Sven Axsäter,et al.  Chapter 4 Continuous review policies for multi-level inventory systems with stochastic demand , 1993, Logistics of Production and Inventory.

[15]  Stephen C. Graves,et al.  A Multi-Echelon Inventory Model for a Repairable Item with One-for-One Replenishment , 1985 .

[16]  Frederick John Naden The analysis of an inventory system , 1964 .

[17]  Robin Roundy,et al.  A 98%-Effective Lot-Sizing Rule for a Multi-Product, Multi-Stage Production / Inventory System , 1986, Math. Oper. Res..

[18]  Jacques Desrosiers,et al.  94%-Effective Policies for a Two-Stage Serial Inventory System with Stochastic Demand , 1999 .

[19]  Linus Schrage,et al.  “Centralized Ordering Policies in a Multi-Warehouse System with Lead Times and Random Demand” , 2004 .

[20]  Leroy B. Schwarz,et al.  A Simple Continuous Review Deterministic One-Warehouse N-Retailer Inventory Problem , 1973 .

[21]  Sven Axsäter,et al.  Simple Solution Procedures for a Class of Two-Echelon Inventory Problems , 1990, Oper. Res..