Capacitated two-indenture models for repairable item systems

Exact and Approximate Analysis of Multi-Echelon, Multi-Indenture Spare Parts Systems with Commonality

“…Based on approaches by Buzacott et al [6], Avsar and Zijm [3] recently developed approximate procedures to handle the case in which each repair center is modeled as a finite capacity queuing network, thus allowing a more careful study of the interplay between available repair capacity, inventory levels and resulting leadtimes. While in this paper they deal with a single item, a second paper [32] discusses the multi-indenture situation. The study of multiple items, each with a material breakdown structure, in a divergent multiechelon structure is a natural further extension of this line of research.…”

A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective

“…For spare parts that possess distinctive characteristics, using several criteria as a basis for classification is particularly useful. This has led researchers to suggest different types of multi-criteria approaches for spare part inventory classification [165]. A well-known method used as a tool for classifying spare parts is the analytical hierarchy process (AHP) (see, e.g., [113,114,115]).…”

“…Van der Heijden et al [40] provide a method for the joint optimization of spare parts inventories and throughput times of repair and transportation for multi-echelon, multi-indenture spare part networks. Additional related papers with finite repair capacity considerations can be found in Sleptchenko et al [120], Zijm and Avşar [165] and Tiemessen and Van Houtum [166].…”

Approximation neighborhood evaluation for the design of the logistics support of complex engineering systems

“…They also present a procedure for the simultaneous optimization of spare parts and maintenance resources. Zijma and Avşar (2003) analyze a two-indenture repairable item system, and propose an approximation model as weel as a greedy optimization approach to meet a given target service level at minimal cost. Basten et al (2011b,a) further develop Basten et al (2009) by limiting the resources capacity, and ensuring that the components to be repaired at each location are less than the installed capacity of the resources.…”