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PROBLEMATIC
- What is the best internal layout of your facility (process-oriented, product-oriented = production lines, cellular, or service)?
- What is the optimal number of production lines (assembly or disassembly) to be installed?
- Which flow pattern is best for your production line (straight, serpentine, U flow, circular, L flow, S flow)?
- How to determine the optimal number of workstations, workers and machines of your production line (assembly or disassembly)?
- Which worker to optimally assign to which workstation, to which machine and to which operations?
- What can you do to measure and optimize the performance of your production line (time, money, labour and environmental impact)?
- How can you optimally balance the workload of your production line?
- What is the best sequencing of the products and operations on the production line in order to optimize a given economical or environmental criterion?
- At what time and with which machine and/or operator the different operations on the different products will be performed in order to optimize a given economical or environmental criterion
- What is the best feeding strategy for the workstations of your production line?
- How can you improve the lot sizing strategy on your production line?
- What is the best recovery option for your End of Life products (reuse, remanufacturing, recycling, storage, disposal)?
COMPETENCIES
- Manufacturing systems FOR configuration, optimization, performance evaluation, production planning
- Multi-Criteria Decision Aiding and Analysis FOR multiple conflicting criteria evaluation in the decision to get more informed, adequate, reliable and better decisions.
- Combinatorial optimization, Mathematical modelling and programming TO model a large scope of problems encountered in industrial environments.
- Stochastic optimization and approximation FOR uncertainty integration when modelling and solving more realistic problems encountered in industrial environments.
- Exact solution algorithms, Simulation, Heuristic and metaheuristic approaches TO solve a large scope of problems encountered in industrial environments and for performance evaluation of the obtained solutions.
APPLICATIONS
- Production planning
- Facility layout
- Resource planning
- Specific manufacturing systems: assembly and disassembly lines
- Decision support systems
PUBLICATIONS
M.-Lounes Bentaha, O. Battaïa, A. Dolgui, S. Jack Hu, Dealing with uncertainty in disassembly line design, CIRP Annals - Manufacturing Technology, Volume 63, Issue 1, 2014, Pages 21-24
M.-Lounes Bentaha, O. Battaïa, A. Dolgui, S. Jack Hu, Second order conic approximation for disassembly line design with joint probabilistic constraints, European Journal of Operational Research, Volume 247, Issue 3, 2015, Pages 957-967.
M.-Lounes Bentaha, O. Battaïa, A. Dolgui, A sample average approximation method for disassembly line balancing problem under uncertainty, Computers & Operations Research, Volume 51, 2014, Pages 111-122.
A. Manceaux, H. B. El-Haouzi, W. R. Cherif-Khettaf, M.-Lounes Bentaha, Iterated local search for dynamic line rebalancing problem, Iterated local search for dynamic line rebalancing problem, IFAC-PapersOnLine, Volume 49, Issue 12, 2016, Pages 515–519.
M. Lounes Bentaha, Alexandre Dolgui , Olga Battaïa, , A bibliographic review of production line design and balancing under uncertainty, IFAC-PapersOnLine, Volume 48, Issue 3, 2015, Pages 70–75.
LINKS
- vf-OS
- ERASMUS
- PhD Thesis: Lounes
PROBLEMATIC
- What can you do to measure and improve your performance regarding key parameters (efficiency, effectiveness, environmental impact...)?
- Which supply strategy is best for you? (number, location, size of suppliers)?
- What is the optimal location of your facilities and warehouses?
- What is the optimal size of warehouses and facilities?
- Which transportation network is relevant?
- How to manage reverse logistics, and especially the collection of products at the end of their life?
- How to choose and implement the best strategy (lean, agility, liability)?
COMPETENCIES
- Multi-Criteria Decision Aiding and Analysis FOR quick, adequate and reliable decisions
- Supply Chain Management and optimization (Configuration, Evaluation) FOR cost efficiency and/or agility improvement
- Risks management FOR resilient supply chains
APPLICATIONS
- Global supply chain
- Specific processes, from manufacturing to warehousing or transportation
- Specific sectors (electronics, mechanics, humanitarian response to natural disasters... )
PUBLICATIONS
Aurelie Charles, Matthieu Lauras, Luk N. Van Wassenhove, Lionel Dupont. Designing an efficient humanitarian supply network; Journal of Operations Management, vol 47-48, pp.58 - 70, 2016
Aurelie Charles, Matthieu Lauras, andL.N. Van Wassenhove, “A model to define and assess the agility of supply chains: building on humanitarian experience”, International Journal of Physical Distribution & Logistics Management, vol. 40, pp. 722–741, 2010
Krittiya Saksrisathaporn, Aurelie Charles, Abdelaziz Bouras, Napaporn Reeveerakul. A web-based multi-criteria decision support system during humanitarian operation, SKIMA, Chiang Mai, Thailand. 2013
M.-Lounes Bentaha, A. Voisin, P. Marangé, O. Battaïa, A. Dolgui, Disassembly process planning under end-of-life product states, Journal Européen des Systèmes Automatisés, Lavoisier, Volume 49, Issue 4-5, 2016, Pages 579-605.
M.-Lounes Bentaha, Combinatorial design of disassembly lines under uncertainty, 4OR - A Quarterly Journal of Operations Research, Volume 13, Issue 4, 2015, Pages 445-446.
LINKS
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