Prof. Dr. Joachim Arts

Joachim Arts

Associate professor, Tenure Track in Supply Chain Management and Logistics

Academic Area(s) Production, distribution & supply chain management / Quantitative methods in economics & management / Multidisciplinary, general & others / Mathematics
Research Topics Supply Chain Management
Faculty or Centre Faculty of Law, Economics and Finance
Department Department of Economics and Management
Postal Address Campus Kirchberg, Université du Luxembourg
6, rue Richard Coudenhove-Kalergi
L-1359 Luxembourg
Campus Office B16B
Telephone (+352) 46 66 44 6198
Social Media & Blogs

Joachim Arts is an associate professor at the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and holds visiting appointments at the Eindhoven University of Technology and the Center for Mathematics and Computer Science in Amsterdam.

Joachim's research interests are in operations research and its applications in supply chain, logistics, maintenance, and business analytics. Much of his research is practice driven as he works with companies such as ASML, Railway operators, Philips, and others.

His research has been published in journals such as Operations Research, European Journal of Operational Research, and IISE Transactions (formerly IIE Transactions).

Prior to joining LCL, Joachim was an assistant professor at Eindhoven University of Technology and a visiting scholar at the MIT Sloan school of management. He is a recipient of the European Doctoral Dissertation Award from the European Federation of Operations Research Societies and a veni career grant from the Netherlands foundation for scientific research.

Full CV

Last updated on: Wednesday, 22 January 2020

PhD level

Spring 2017, Data Science in Maintenance, Data Science Center, Eindhoven University of Technology


MSc level

Current, Inventory Management, University of Luxembourg

2015-2016, Advanced Maintenance and Service Logistics, Eindhoven University of Technology

2015-2016, Research Methods, Eindhoven University of Technology

2013-2014, Service Supply Chains for Capital Goods, Eindhoven University of Technology

2013-2014, Modeling and Analysis of Manufacturing Systems, Eindhoven University of Technology

2013, Guest lecturer, Supply Chain Operations Planning, Eindhoven University of Technology


BSc level

2016, Quality and Reliability Engineering, Eindhoven University of Technology

2015-2016, Quantitative Modeling and Analysis of Business Processes, Eindhoven University of Technology

2014, Maintenance and Service Logistics, Eindhoven University of Technology

Last updated on: 18 Sep 2017

Joachim's research usually starts from applications and is mostly quantitative in nature. He uses methods from both optimization (column generation, Benders decomposition) and stochastic modeling (Markov decision processes, queueing theory, Bayesian theory).

Application areas of particular interest include service part inventories, multi-echelon supply chains, dual sourcing and maintenance.

His work also includes theoretical contributions to stochastic analysis. His work has been published in leading academic journals such as Operations Research, European Journal of Operational Research, IISE Transactions, Statistics and Probability Letters, and Annals of Operations Research.

Last updated on: 18 Sep 2017

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Full Text
See detailA restless badit approach for capacitated condition based maintenance scheduling
Demirci, Ece; Arts, Joachim; Van Houtum, Geert-Jan

E-print/Working paper (2022)

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See detailExpediting in Two-Echelon Spare Parts Inventory Systems
Drent, Melvin; Arts, Joachim

in Manufacturing and Service Operations Management (2021), 23(6), 1431-1448

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See detailStrategic Behavior in a Serial Newsvendor Setting
Perez Becker, Nicole; Mantin, Binyamin; Arts, Joachim

E-print/Working paper (2021)

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See detailThe stochastic maintenance location routing allocation problem for rolling stock
Tönissen, Denise; Arts, Joachim

in International Journal of Production Economics (2020), 230

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See detailMaintenance location routing for rolling stock under line and fleet planning uncertainty
Tönissen, Denise; Arts, Joachim; Shen, Zuo-Jun

in Transportation Science (2019), 53(5), 1252-1270

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See detailEconomies of scale in recoverable robust maintenance location routing for rolling stock
Arts, Joachim; Tönissen, Denise

in Transportation Research. Part B, Methodological (2018), 117

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See detailA multi-item approach to repairable stocking and expediting in a fluctuating demand environment
Arts, Joachim

in European Journal of Operational Research (2017), 256(1), 102-115

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See detailThe asymptotic hazard rate of sums of discrete random variables
Arts, Joachim; van Houtum, G.-J.; Zwart, B.

in Statistics & Probability Letters (2017), 125

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See detailFleet readiness: Stocking spare parts and high tech assets
Basten, Rob; Arts, Joachim

in IISE Transactions (2017), 49(4), 429-441

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See detailRepairable stocking and expediting in a fluctuating demand environment: Optimal policy and heuristics
Arts, Joachim; Basten, R.; Van Houtum, G.-J.

in Operations Research (2016), 64(6), 1285-1301

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See detailMaintenance spare parts planning and control: A framework for control and agenda for future research
Driessen, M.; Arts, Joachim; Van Houtum, G.-J.; Rustenburg, J. W.; Huisman, B.

in Production Planning & Control (2015), 26(5), 407-426

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See detailSpare parts planning and control for maintenance operations
Arts, Joachim

in Civil-Comp Proceedings (2014), 104

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See detailAggregate overhaul and supply chain planning for rotables
Arts, Joachim; Flapper, S. D.

in Annals of Operations Research (2013), 224(1), 77-100

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See detailAnalysis of a two-echelon inventory system with two supply modes
Arts, Joachim; Kiesmüller, G. P.

in European Journal of Operational Research (2013), 225(2), 263-272

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See detailEfficient optimization of the dual-index policy using Markov chains
Arts, Joachim; Van Vuuren, M.; Kiesmüller, G.

in IIE Transactions (2011), 43(8), 604-620

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