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Prof. Dr. Joachim Arts
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| 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 |
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| Campus Office | B16B | ||||||||
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| Telephone | (+352) 46 66 44 6198 | ||||||||
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Joachim Arts is an 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.
Last updated on: Wednesday, 26 April 2023
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
2023
Data-driven preventive maintenance for a heterogeneous machine portfolio; ; ;
in Operations Research Letters (2023)
2022
A restless badit approach for capacitated condition based maintenance scheduling; ;
E-print/Working paper (2022)
Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation; ; ;
in Manufacturing and Service Operations Management (2022), 25(1), 235-253
The Decay Vendor: Timing Medical Radioisotope Production to Meet a Fixed Delivery Schedule;
E-print/Working paper (2022)
2021
Expediting in Two-Echelon Spare Parts Inventory Systems;
in Manufacturing and Service Operations Management (2021), 23(6), 1431-1448
Projected Inventory Level Policies for Lost Sales Inventory Systems: Asymptotic Optimality in Two Regimes;
E-print/Working paper (2021)
2020
The stochastic maintenance location routing allocation problem for rolling stock;
in International Journal of Production Economics (2020), 230
2019
Maintenance location routing for rolling stock under line and fleet planning uncertainty; ;
in Transportation Science (2019), 53(5), 1252-1270
2018
Economies of scale in recoverable robust maintenance location routing for rolling stock;
in Transportation Research. Part B, Methodological (2018), 117
Design of multi-component periodic maintenance programs with single-component models;
in IISE Transactions (2018)
2017
A multi-item approach to repairable stocking and expediting in a fluctuating demand environmentin European Journal of Operational Research (2017), 256(1), 102-115
The asymptotic hazard rate of sums of discrete random variables; ;
in Statistics and Probability Letters (2017), 125
Fleet readiness: Stocking spare parts and high tech assets;
in IISE Transactions (2017), 49(4), 429-441
2016
Repairable stocking and expediting in a fluctuating demand environment: Optimal policy and heuristics; ;
in Operations Research (2016), 64(6), 1285-1301
2015
Maintenance spare parts planning and control: A framework for control and agenda for future research; ; ; ;
in Production Planning and Control (2015), 26(5), 407-426
2014
2013
Aggregate overhaul and supply chain planning for rotables;
in Annals of Operations Research (2013), 224(1), 77-100
Analysis of a two-echelon inventory system with two supply modes;
in European Journal of Operational Research (2013), 225(2), 263-272
2011
Efficient optimization of the dual-index policy using Markov chains; ;
in IIE Transactions (2011), 43(8), 604-620
