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EM Elisa Alvarez

Researcher at University of Twente

Publications -  5
Citations -  351

EM Elisa Alvarez is an academic researcher from University of Twente. The author has contributed to research in topics: Spare part & Service level. The author has an hindex of 5, co-authored 5 publications receiving 341 citations.

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Journal ArticleDOI

Inventory reduction in spare part networks by selective throughput time reduction

TL;DR: A model in which standard throughput times (TPTs) for repair and transportation can be reduced at additional costs is constructed, and TPT reductions downstream in the spare part supply chain appear to be the most effective.
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The selective use of emergency shipments for service-contract differentiation

TL;DR: In this paper, the authors use selective emergency shipments of spare parts to differentiate logistic performance: they apply emergency shipments in out-of-stock situations for combinations of parts and customer classes that yield service levels close to the class-specific targets.
Journal ArticleDOI

Service differentiation in spare parts supply through dedicated stocks

TL;DR: It is shown that dedicated stocks have significant added value: the approach results in clear savings compared to a strategy of providing all customers with uniform service and the savings found are close to those with critical level policies, with dedicated stocks usually being much easier to implement in practice.
Journal ArticleDOI

Service differentiation through selective lateral transshipments

TL;DR: This work considers a multi-item spare parts problem with multiple warehouses and two customer classes, where lateral transshipments are used as a differentiation tool, and derives approximations for the mean waiting time per class in a single-item model with selective lateral transShipments.
Journal ArticleDOI

On two-echelon inventory systems with Poisson demand and lost sales

TL;DR: A simple, fast and accurate approach to approximate the service levels in a two-echelon, continuous review inventory system under Poisson demand and a one-for-one replenishment policy is given.