Varying Repair Capacity in a Repairable Item System

Tracht, Kirsten; Funke, Lars; Schneider, Daniel

doi:10.1016/j.procir.2014.01.064

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…Stochastic models for the single-echelon problem are found in Zijm and Avsar [12], Wong et al [13], Wong et al [14], Wong et al [15], Chakravarty [16], Mirzahosseinian [17], Selçuk [18], and Tracht [19], among others. Zijm and Avsar [12] study a two-indenture maintenance system for a number of identical installations which are in use at a single site.…”

Section: Single-echelon Systemsmentioning

confidence: 99%

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A review of recent literature on repairable-item inventory systems

Mabini¹

2016

actamanil

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This review includes papers found in the literature for repairable item inventory systems since 1997. The idea is to complement related earlier reviews until 1997, which are mentioned in the paper for the benefit of the interested reader. The papers are classified into two groups, based broadly on the types of inventory systems: single echelon and multi-echelon systems. A number of modeling approaches found in the papers in both groups are noted.

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Section: Single-echelon Systemsmentioning

confidence: 99%

“…Meanwhile, the work of Tracht [19] applies to the repairable item system for expensive parts of machines. Here, the impact of varying repair capacity on the system is investigated.…”

Section: Single-echelon Systemsmentioning

confidence: 99%

A review of recent literature on repairable-item inventory systems

Mabini¹

2016

actamanil

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“…In his study of a repairable item system for expensive parts of machines, Tracht [8] investigates the impact of varying repair capacity on the system. He shows how the stock levels should be adjusted so that a maximum backorder level of waiting request is guaranteed for the entire year.…”

Section: Introductionmentioning

confidence: 99%

Controlling repairable inventories of critical items

Mabini¹

2022

actamanil

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The present paper is concerned with the problem of controlling repairable inventories of critical items, so that these items are available when they are needed. The context used is that of the rail transport, or train system. We present a nonlinear integer programming formulation for a single-level repairable inventory system. The formulation strives to minimize the sum of the expected annual costs of carrying inventories and of operational delay due to item unavailability on demand. We apply a constraint limiting the allowable probability of item availability to a pre-set minimum value. Using hypothetical data, we solve the model using a spreadsheet-based solver developed for this purpose. The formulation, taken for each item, is convex. Our model promises to be a useful tool for repairable-item inventory control in the railway industry, or in the transportation industry in general.

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