Dr Mohammad AlDurgam

Assistant Professor
DrDurgam2.jpg
 
Office: 22-345
Phone: 966-13-860-7099
Fax: 966-13-860-2965
Email: aldurgam(at)kfupm.edu.sa
 
 
Curriculum Vitae
 
Education
·         PhD, Industrial & Systems Engineering, KFUPM., Saudi Arabia, 2009
·         MSc, Industrial Engineering, The University of Jordan., Jordan, 2005
·         BSc, Industrial Engineering, The University of Jordan., Jordan, 1997
 
Teaching
·         ISE 201: Introduction to Industrial and Systems Engineering
·         ISE 205: Engineering Probability and Statistics I
·         ISE 303: Operations Research I
·         ISE 307: Engineering Economic Analysis
·         ISE 320: Statistical Quality Control
·         ISE 325: Engineering Statistics II
·         ISE 402: Production Systems and Inventory Control 
·         ISE 405: Stochastic Systems Simulation
·         ISE 405 lab: simulation with Arena software
·         ISE 502: Probabilistic modeling
·         ISE 606: Directed Research
 
Research Interests
·         Fully and Partially Observed Markov Deciosion Processes and applications (supply chain management, maintenance, and quality)
·         Project Management
·         Simulation of industrial and bussiness processes
 
Selected Publications
·         Ben-Daya, M., Hassini, E., M., Hariga, M., AlDurgam, M. (2013). Consignment and Vendor Managed Inventory in Single-Vendor Multiple Buyers Supply Chain. International Journal of Production Research, 51 (5), pp. 1347-1365.
·         AlDurgam, M. and Duffuaa, S. (2013). Optimal Joint Maintenance and Operation Policies to Maximize Overall Systems Effectiveness. International Journal of Production Research, 51 (5), pp. 1319-1330.
·         AlDurgam, M. and Elshafei, M. (2012). Optimal Process Targeting of Multi-Inputs,           
Multi-Stages and Multi-Characteristics Production Systems. International Journal of Production Research, 50 (22), pp. 6329-6338.
·         AlDurgam, M. and Barghash, M. A. (2008). Generalized Framework for Simulation-Based Decision Support for Manufacturing. Production Planning and Control, 19 (5), pp. 518-534.