Resource-constrained two-echelon inventory models for repairable item systems

In this paper, we consider two-echelon maintenance systems with repair facilities both at a number of local service centers (called bases) and at a central location. Each repair facility may be considered to be a job shop and is modeled as a (limited capacity) open queuing network, while any transport from the central facility to the bases (and vice versa) is modeled as an ample server. At all bases as well as at the central repair facility, ready-for-use spare parts are kept in stock. Once an item in the field fails, it is returned to one of the bases and replaced by a ready-for-use item from the spare parts stock, if available. The returned failed item is either repaired at the base or shipped to and repaired at the central facility. In the case of local repair, the item is added to the local base stock as a ready-for-use item after repair. If a repair at the central facility is needed, the base orders an item from the central spare parts stock to replenish its local stock, while the failed item is added to the central stock after repair. Orders are satisfied on a first-come-first-serve basis while any requirement that cannot be satisfied immediately either at the bases or at the central facility is backlogged.

[1]  Eb Erik Diks,et al.  Multi-echelon systems: A service measure perspective , 1996 .

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

[3]  W. Zijm,et al.  European Journal of Operational Research Materials Coordination in Stochastic Multi-echelon Systems , 2022 .

[4]  Michael C. Fu,et al.  Models for multi-echelon repairable item inventory systems with limited repair capacity , 1997 .

[5]  John A. Buzacott,et al.  Stochastic models of manufacturing systems , 1993 .

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

[7]  Craig C. Sherbrooke,et al.  Optimal Inventory Modeling of Systems: Multi-Echelon Techniques (INTL SERIES IN OPERATIONS RESEARCH & MANAGEMENT SCIENCE) , 1992 .

[8]  Jhcm Jos Verrijdt,et al.  Design and control of service part distribution systems , 1997 .

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

[10]  Richard M. Soland,et al.  A Closed Queueing Network Model for Multi-Echelon Repairable Item Provisioning. , 1983 .

[11]  D. Gross On the Ample Service Assumption of Palm's Theorem in Inventory Modeling , 1982 .

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

[13]  John A. Buzacott,et al.  Service Level in Multistage MRP and Base Stock Controlled Production Systems , 1992 .

[14]  Yves Dallery,et al.  An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems , 1996, Oper. Res..

[15]  S. Albright An approximation to the stationary distribution of a multiechelon repairable‐item inventory system with finite sources and repair channels , 1989 .

[16]  Donald Gross,et al.  A network decomposition approach for approximating the steady-state behavior of Markovian multi-echelon reparable item inventory systems , 1987 .

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