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Ayse Sena Eruguz
Researcher at Eindhoven University of Technology
Publications - 11
Citations - 253
Ayse Sena Eruguz is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Supply chain & Service level. The author has an hindex of 7, co-authored 11 publications receiving 186 citations. Previous affiliations of Ayse Sena Eruguz include École Centrale Paris & Erasmus University Rotterdam.
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A comprehensive survey of guaranteed-service models for multi-echelon inventory optimization
TL;DR: A comprehensive review of the GSM literature is conducted and classify the literature along three axes: extensions of the original GSM through the relaxation of certain modeling assumptions, solution methods developed for different supply chain structures, and industrial applications and the results obtained on real-world problems.
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A survey of maintenance and service logistics management
TL;DR: In this article, the authors present a classification of the maintenance and service logistics literature considering the key characteristics of a particular sector as a guideline, i.e., the maritime sector, and identify the potential future research directions and suggest a research agenda.
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Integrated maintenance and spare part optimization for moving assets
TL;DR: In this paper, an integrated maintenance and spare part optimization problem for a single critical component of a moving asset for which the degradation level is observable is considered, where the degradation is modeled as a function of the current operating mode, mostly dictated by the actual location of the moving asset.
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A review of operational spare parts service logistics in service control towers
TL;DR: An overview of operational spare parts planning in service control towers is provided and a classification framework to reveal the key aspects of operational planning decisions is proposed to provide an overview of the scientific literature.
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Optimising reorder intervals and order-up-to levels in guaranteed service supply chains
TL;DR: An improved direct approach using a global optimiser, bounding the decision variables in the NLIP model and considering the SOP solution as an initial solution is proposed to obtain near-optimal solutions with reasonable computational time.