Insights into inventory sharing in service parts logistics systems with time-based service levels

Service parts logistics systems are usually characterized by very low random demand, high part cost, and target time-based service levels, all of which lead inventory planners to utilize inventory sharing or ''emergency lateral transshipments'' across multiple stocking locations. Using a stylized model with one central warehouse and multiple local stocking locations, we seek insights into the behavior of an inventory sharing system with time-based service level considerations. The goal of inventory sharing is to satisfy a demand in case a local facility is out of stock, by meeting the demand with a direct delivery from another location that can provide the service within the time window necessary for the target service level. We adapt an existing model from the literature for such a system and study its performance in terms of cost and service level. In addition, we evaluate two-location and three-location scenarios to study the effect of having additional stocking locations.

[1]  Craig C Sherbrooke Multi-Echelon Inventory Systems with Lateral Supply: A Technical Note, , 1988 .

[2]  Whm Henk Zijm,et al.  Spare parts management at complex technology-based organizations: an agenda for research , 2001 .

[3]  John A. Muckstadt,et al.  Analysis and Algorithms for Service Parts Supply Chains , 2008 .

[4]  L. J. Thomas,et al.  Are Multi-Echelon Inventory Methods Worth Implementing in Systems with Low-Demand-Rate Items? , 1980 .

[5]  Paul R. Kleindorfer,et al.  Near-Optimal Service Constrained Stocking Policies for Spare Parts , 1989, Oper. Res..

[6]  MORRIS A. COHEN,et al.  Service parts logistics: a benchmark analysis , 1997 .

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

[8]  Hau L. Lee A multi-echelon inventory model for repairable items with emergency lateral transshipments , 1987 .

[9]  Yunzeng Wang,et al.  Identifying Opportunities for Improving Teradyne's Service-Parts Logistics System , 1999, Interfaces.

[10]  Patrik Alfredsson,et al.  Modeling emergency supply flexibility in a two-echelon inventory system , 1999 .

[11]  Avijit Banerjee,et al.  Cost-parametric analysis of lateral transshipment policies in two-echelon supply chains , 2005 .

[12]  Sven Axsäter,et al.  Modelling Emergency Lateral Transshipments in Inventory Systems , 1990 .

[13]  Mehmet Ferhat Candas Benefits of Considering Inventory in Logistics Network Design Problems with Time-based Service Constraints ∗ , 2005 .

[14]  Dirk Van Oudheusden,et al.  Inventory pooling of repairable spare parts with non-zero lateral transshipment time and delayed lateral transshipments , 2005, Eur. J. Oper. Res..

[15]  Kamran Moinzadeh,et al.  An (S - 1, S) Inventory System with Emergency Orders , 1991, Oper. Res..

[16]  Craig C. Sherbrooke,et al.  VARI-METRIC: Improved Approximations for Multi-Indenture, Multi-Echelon Availability Models , 1986, Oper. Res..

[17]  Paul R. Kleindorfer,et al.  Multi-item service constrained (s, S) policies for spare parts logistics systems , 1992 .

[18]  Paul R. Kleindorfer,et al.  Optimizer: IBM's Multi-Echelon Inventory System for Managing Service Logistics , 1990 .

[19]  Jovan Grahovac,et al.  Sharing and Lateral Transshipment of Inventory in a Supply Chain with Expensive Low-Demand Items , 2001, Manag. Sci..

[20]  George Tagaras,et al.  EFFECTIVENESS OF STOCK TRANSSHIPMENT UNDER VARIOUS DEMAND DISTRIBUTIONS AND NONNEGLIGIBLE TRANSSHIPMENT TIMES , 2009 .

[21]  J. Muckstadt A Model for a Multi-Item, Multi-Echelon, Multi-Indenture Inventory System , 1973 .

[22]  Paul R. Kleindorfer,et al.  Optimal stocking policies for low usage items in multi‐echelon inventory systems , 1986 .

[23]  Dirk Cattrysse,et al.  Stocking decisions for repairable spare parts pooling in a multi-hub system , 2005 .

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