Operations Management

Teaching

The purpose of the Operations management track

The purpose of the Operations Management track is to prepare future professionals to undertake complex and challenging tasks that will ensure efficient production and distribution of products and services while meeting customer expectations across the globe. In particular, this track provides to students the required knowledge and experience with respect to supply chain management, transportation and logistics, purchasing, inventory management, lean and quality management, and project management.

The OPS track focuses on:

  • building leadership skills to make the best strategies and business decisions,
  • strengthening analytical thinking talents and problem-solving skills, and
  • integrating green and sustainable practices in supply chains to enhance the use of green technologies and environmental collaboration with various economic actors.

Some Job prospects after graduating at the OPS track:

  • Supply chain manager
  • Logistic operations manager (including transportation, distribution, managing stocks)
  • Project manager
  • Quality and lean manager
  • Purchasing manager
  • Analyst, Supply and Demand Planner

Who is this specialization for?

  • Problem-solving leaders that are looking for new solutions to any problem that companies may face in highly competitive business environments.
  • Students who have sharp analytical skills, and like analyzing and interpreting data.
  • Future professionals who know how to manage stress while working in dynamic and international business environments.
  • Talented and motivated students who are looking for a challenging and interesting career.

Department’s pedagogy

The department’s pedagogy is based on theoretical fundamentals, case studies, simulation, learning through games, and practical work. The students learn how to solve complex practical problems by using various qualitative and quantitative techniques and approaches such as case studies, optimization, statistical methods, simulation and software. In particular, different Software packages are used such as Microsoft Project, Anylogic, Prendo Simulation, Palisade Precision Tree, SPSS, LEKIN, Excel Solver and VBA, just to name a few.

Our professors have been regularly developing applied case studies. Below you will find some selected case studies of our staff.

  • Mlinar T., (2019), Distribution network design in e-commerce, The Case Centre, case study 619-0011-1
  • Boute R., Van Steendam T., Creemers S., (2017), B-Kay Tech: Horizontal Collaboration in Logistics, The Case Centre, case study 9B17D017
  • Newlands D. J., (2015), Reengineering a Mobile Phone Cover Supply Chain, Case Centre, case study 615-021-1
  • Di Martinelly C., Joliet R., (2013), Redesigning the Global Supply Chain Network in Fashion Retail: The Esprit Case, or How to Reconcile Operations and Financial Management, European Case Clearing House, case study 113-024-1

 

Research

Our department counts 9 permanent professors and 3 teaching and research assistants. Permanent staff within the department are affiliated to the CNRS research laboratory LEM, Lille Economie Management.

Research conducted by Operations Management Department is motivated by the complex problems in industry that drive companies to seek for new ways to build a strong competitive advantage.

Our staff focuses on developing new theoretical concepts and methodologies for better understanding of service and production processes and supply chain networks in competitive and uncertain environments. Research undertaken within the Department helps companies to improve their processes by providing a new design of products and supply chain networks, determining staffing requirements and a desirable resource allocation, and developing efficient scheduling policies.

Research has been applied in various business environments such as green supply chain management, healthcare, transportation and logistics, project management, revenue management, manufacturing, purchasing and inventory management and new product development.

Our faculty combines and integrates various decision support tools.  Our staff uses both qualitative analysis and quantitative methods such as case studies, optimization techniques, stochastic modelling, scheduling techniques and statistical analysis. Innovative nature of research at the department has been recognized internationally. Our faculty have been invited to present their results at various universities and conferences/seminars. As successful outcomes of the conducted research, articles are published in international peer-reviewed journals such as European Journal of Operational Research, International Journal of Production Economics, Annals of Operations Research, International Journal of Production Research, Computers & Operations Research, Omega, International Journal of Operations and Production Management, Computers and Industrial Engineering, Journal of Operational Research Society, just to name a few.

Below you will find some selected publications of our staff. For the full list of publications of each member of the group, please visit her/his page within Faculty Directory.

 Green Supply Chain Management:

  • Eskandarpour M., Dejax P., Miemczyk J., Péton O., (2015), Sustainable supply chain network design: An optimization oriented review, Omega, 54, pp. 11-32
  • Hong Z., Chu C., Zhang L., Yu Y., (2017), Optimizing an emission trading scheme for local governments: A Stackelberg game model and hybrid algorithm, International Journal of Production Economics, 193, pp. 172-182

Supply Chain Management:

  • Reihaneh M., Ghoniem A., (2018), A multi-start optimization-based heuristic for a food bank distribution problem, Journal of the Operational Research Society, 69(5), pp. 691-706
  • Yu Y., Hong Z., Zhang L., Liang L., Chu C., (2013), Optimal Selection of Retailers for a Manufacturing Vendor in a Vendor Managed Inventory System, European Journal of Operational Research, 225(2), pp. 273-284

Healthcare Management:

  • Di Martinelly C., Meskens N., (2017), A bi-objective integrated approach to building surgical teams and nurse schedule rosters to maximise surgical team affinities and minimise nurses’ idle time, International Journal of Production Economics, 191, pp. 323-334
  • Roland B., Di Martinelly C., Riane F., Pochet Y., (2010), Scheduling an operating theatre under human resource constraints, Computers and Industrial Engineering, 58(2), pp. 212-220

Transportation and Distribution:

  • Eskandarpour, M., Ouelhadj, D., Hatami, S., Juan, A. A., & Khosravi, B. (2019). Enhanced multi-directional local search for the bi-objective heterogeneous vehicle routing problem with multiple driving ranges. European Journal of Operational Research277(2), 479-491.
  • Reihaneh M., Ghoniem A., (2019), A branch-and-price algorithm for a vehicle routing with demand allocation problem, European Journal of Operational Research, 272(2), pp. 523–538
  • Padilla Tinoco S. V., Creemers S., Boute R., (2017), Collaborative shipping under different cost-sharing agreements, European Journal of Operational Research, 263(3), pp. 827-837

Product Development:

  • Van Den Broeke M., Robert B., Van Mieghem J., (2018), Platform Flexibility Strategies: R&D Investment versus Production Customization Tradeoff, European Journal of Operational Research, 270, pp. 475-486
  • Zhang L., (2015), A literature review on multitype platforming and framework for future research, International Journal of Production Economics, 168, pp. 1-12

Revenue Management and Capacity Plannning:

  • Melchiors P., Leus R., Creemers S., Kolisch R., (2017), Dynamic Order Acceptance and Capacity Planning in a Stochastic Multi-Project Environment with a Bottleneck Resource, International Journal of Production Research, 56:1-2, pp.459-475
  • Chevalier P., Lamas A., Lu L., Mlinar T., (2015), Revenue management with urgent orders, European Journal of Operational Research, 240(2), pp. 476-487

Demand forecasting, Production Planning & Scheduling:

  • Rostami S., Creemers S., Leus R., (2019), Precedence theorems and dynamic programming for the single-machine weighted tardiness problem, European Journal of Operational Research, 272(1), pp. 43-49
  • Van Den Broeke M., De Baets S., Vereecke A., Baecke P., Vanderheyden K., (2019), Judgmental forecast adjustments over different time horizons, Omega, 87, pp. 34-45

 Project Management:

  • Rostami S., Creemers S., Leus R., (2016), New strategies for stochastic resource- constrained project scheduling, Journal of Scheduling, 21(3), pp. 349-365
  • Creemers S., De Reyck B., Leus R., (2015), Project planning with alternative technologies in uncertain environments, European Journal of Operational Research, 242(2), pp. 465-476

 

Academic staff of the Department

 

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C
Stefan CREEMERS
CREEMERS Stefan
Ph.D. in Applied Economics, KU Leuven
D
Christine DI MARTINELLY
DI MARTINELLY Christine
Ph.D. in Economic and Management Sciences, Louvain School of Management
E
Majid ESKANDARPOUR
ESKANDARPOUR Majid
Ph.D., Management Sciences, Operations Management, Ecole des Mines de Nantes
M
Tanja MLINAR
MLINAR Tanja
Ph.D. in Economics and Management Science , Université catholique de Louvain
R
Mohammad REIHANEH
REIHANEH Mohammad
Ph.D., Operations Management, University of Massachusetts
Salim ROSTAMI
ROSTAMI Salim
Ph.D., Economics and Mathematics Sciences, Operations Management, KU Leuven
V
Maud VAN DEN BROEKE
VAN DEN BROEKE Maud
Ph.D. in Business Economics, KU Leuven
Z
Linda ZHANG
ZHANG Linda
Ph.D.in Industrial Engineering, Nanyang Technological University
IÉSEG