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Profile

College / Department

College of Engineering
Department of Industrial Engineering

Teaching areas

Operations Research, Supply Chain Management, Logistics, Facilities Planning and Design, Engineering Economics

Research areas

Operations Research, Optimization, Supply Chain Network Design, Location Analysis, Convex Analysis

Education

MS, University of Paris I Sorbonne and Ecole Polytechnique, France
PhD, Universite de Bourgogne, France.

Professional experience

American University of Sharjah, UAE, 2014 - Present
King Fahd University of Petroleum and Minerals, Dhahran, KSA
The University of Birmingham, School of Mathematics, UK

Memberships

Member and certified instructor of American Production and Inventory Control Society (APICS);Member of EURO Working Group on Locational Analysis (EWGLA);

Contact

mndiaye@aus.edu
+971 6 515 4929

Dr. Malick Ndiaye

Associate Professor
PhD in Operations Research, University of Bourgogne, France

Malick M. Ndiaye has worked for King Fahd University of Petroleum and Minerals (KFUPM) and the Management Mathematics Program at the University of Birmingham, UK. His research areas cover operations research, supply chain management, and location theory and its applications to GIS. His research has received grants funded by the Capital Region of Brussels, Belgium; the University of Birmingham; and KFUPM. He is a Certified Supply Chain Professional from the American Association for Operations Management (APICS) and a qualified APICS trainer.

Publications

S. Arifusalam, S. Salhi and M. Ndiaye, “New MAXCAP Related Problems: Formulation and Model Solutions ”, Computers & Industrial Engineering, Volume 85, (2015), 248-259.
S. Arifusalaamm and M. Ndiaye, “Mapping Distance Estimation Functions by Means of Single Means of City Parameters”, The Arabian Journal for Science and Engineering, (2013) 38:1281–1287.
S. Arifusalam, S. Salhi and M. Ndiaye, “Customer Allocation in Maximum Capture Problems”, Journal of Mathematical Modelling and Algorithms, 11(3): 281-293 (2012).
M. Ndiaye, “Material Selection and Process Design Optimization Framework under Closed-Loop Supply Chain”, Advanced Materials Research, 445 (2012) 601-606.
S. Arifusalam, S. Salhi and M. Ndiaye, “The Maximum Capture Problem: Models and solution approaches”, LAP LAMBERT Academic Publishing (2010).
A. Jourani, C. Michelot and M. Ndiaye, “Efficiency for Continuous Facility Location Problems with attraction and repulsion”, Annals of Operations Research, 167-1(2009) 43-60.
M. Ndiaye and Hesham K Alfares, “Health Care Facility Location Model for Moving Population” Computers and Operations Research, 35 (2008) 2154-2161.

Conference Presentations

J. Alzahrani and M. Ndiaye, " Operating Rooms Scheduling at Samso", Euro Mini Conference on Improving Healthcare: new challenges, new approaches, Coimbra, Portugal, April 2015.
Saeed Osman M., Ndiaye M. and Shamayleh A., “Dynamic Scheduling for Batch Data Processing in Parallel Systems”. In Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems, pages 221-225, 2014
M. Ndiaye, “Customer Behaviour Modelling in the Maximum Capture Model”, IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2009.
S. Arifusalam, S. Salhi and M. Ndiaye, “Competitive Discrete Facility Location Problem with Residual Demand and Distance Threshold”, EURO XXIII Conference, July 5 - 8, 2009 in Bonn, Germany.
A. E. Haroun, M. Ndiaye and G. A. M. Johari, “Optimal Location for a New Ladies Branch Using a Combined Analytical Hierarchy Approach and Goal Programming”, Euro Working Group On Locational Analysis, Alicante, Spain, 17-19 September 2008

Awards and Honors

Distinguished Service Award, Systems Engineering Department, 2008.
Distinguished Teaching Award, Systems Engineering Department, 2007.
Laureate of the EURO Summer Institute on Location Analysis, 1995.

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