Dr. Abdelghani Bouras

Dr. Abdelghani Bouras

 King Saud University, Industrial Engineering Dept, P.O. Box. 800, 11421 Riyadh, Kingdom of Saudi Arabia.

Tel. 00966 11 467 68 31

Email: bouras@ksu.edu.sa

 1991–1996    Doctorate of Operations research, Université Joseph Fourier, Grenoble, France.

1994–1995   Certificate of the second postgrade course of Operations research, Université Joseph Fourier (France) and Ecole Polytechnique Fédérale de Lausanne (EPFL – Switzerland).

1990–1991    Diplôme d’Etude Approfondies (French Masters) of Operations research, Université Joseph Fourier, France. 

1985–1990    Engineer of Operations Research, USTHB, Algiers.

 1985              Baccalaureate of Sciences.

·  November 2012 – February 2013: Saudi General Security (KSA).

·  January 2010 – to present: Consultant to King Faisal Specialized Hospital and Research center (KFSHRC)

·  April 2001 – August  2003 Modeler-Market Analyst at ELECTRABEL (Suez group)

·  September 1998 – March 2001 Operation research analyst-developer at Cockerill-Sambre (Usinor Group).

·  September 1996- August 1998 Post-doc position at Grenoble University

n KSU – College of Engineering  (January 2006- present)

Associate Professor of Operations Research at KSU- College of Engineering - Industrial Engineering department

o Bachelor level:

· Operations research I: Modeling and graphical solutions, simplex, transportation and assignment problems, network problems. 

· Operations research II: Revised simplex, parametric, integer, goal, dynamic and non-linear programming 

· Operations research II (New program): integer, dynamic and non-linear programming, Markov chains, queuing. 

· Operations management III: Basic factory dynamics, variability basics, MRP, supply chain planning, JIT and Lean operations 

o PhD level:

· Advanced Applications in Industrial optimization: Advanced algorithms including: Newton method, Modification of Newton's Method, Quasi-Newton method, Gradient method, Levenberg-Marquardt and Trust Region Methods, Sub gradient Optimization Methods, Steepest ascent method; Combined algorithms; Penalty and barrier methods; Methods of Feasible Directions.

· Logistics and Supply Chain Management. This course examines the following subjects:

    § Supply chain network design including raw material (RM), work in process (WIP), final good (FGI), and Spare parts Management;

    § Assembly systems management;

   § Modeling the Integrated production, inventory and distribution problems   

o  Master level: 

· Engineering Optimization I: Modeling techniques for selected case studies, and linear and nonlinear programming applications in engineering, Duality and optimality conditions, Revised primal and dual simplex methods, Sensitivity analysis, Interior point methods, Convex sets and functions, Algorithms for unconstrained and constrained optimizations, application for large size applications.

· Engineering Optimization II: General integer programming (branch and bound, branch and cut Gomory cuts), heuristics, improvement methods (simulated annealing, tabu search, genetic algorithms and ant colonies). 

· MBA – Operations management, College of Business Administration (Arabic and English Programs),  Strategic options for long, intermediate and short terms, Flow processes, Total quality management, forecasting, inventory management, Demand management, Capacity planning, project management, Inventory Models (for MRP), JIT, MRP, Scheduling, Quality management (TQM).

· MS-IS (MASTER'S  DEGREE  PROGRAM IN INFORMATION SYSTEMS) - Business Process Re-engineering and Restructuring, What is business process reengineering, Guidelines, Planning phase, Redesign phase, Transition phase, implementation phase. Total quality management (TQM) techniques, How TQM and Re-engineering differ. Desktop computing and LANs, How re-engineering improves an organization’s efficiency. The ISO 9000 and TQM, Achieving TQM and the ISO 9000 directives.

· Applied Engineering Management Program (AEMP) ( jointly with  Missouri University of Science and Technology) - Advanced Engineering Management Science

Emphasis is placed on modeling, decision making, solving of managerial problems utilizing management science techniques. Problems are analyzed, modeled and solved using such techniques as linear, goal, dynamic programming, simulation, statistical analysis or other non-linear models. Solutions will involve the use computer software.

· Master of Business Administration (MBA, option operations) - Operations Planning and Control, linear programming and heuristic problem solving. Systems for scheduling operations and managing inventories. MRP and JIT for managing dependent demand inventories for engineered products.

n Al Akhawayn University in Ifrane – Morocco (August 2003- January 2006)

Associate Professor in Operations Management – Quantitative Methods (management science) at School of Business Administration- Al Akhawayn University

o  Master level: 

· Operations Management (Executive MBA): Strategic options for long, intermediate and short terms, Flow processes, Total quality management, forecasting, inventory management, Demand management, Capacity planning, project management, Inventory Models (for MRP), JIT, MRP, Scheduling, Quality management (TQM), and Human resources in operations management (work and performance measurement).

· Logistics and supply chain management (Executive MBA): Logistics/Supply Chain Strategy and Planning, Product, Customer Service, Control, Organization, contracts. 

· Business decision making and management for (MBA): use of optimization methods: Integer, Linear and Non Linear programming, Transportation, transshipment and assignment problems, network flow models, Multicriteria decision making (goal programming), inventory, project management, decision analysis, queues, forecasting …

· Business statistics (Executive MBA): use of probability distributions, sampling and sampling distributions, interval estimation, and hypothesis testing. Use of the material (Excel based) accompanying the textbook to acquire a maximum of practice.

o  Bachelor  level: 

· Operations Management: Strategic options for long, intermediate and short terms, Flow processes, Total quality management, forecasting, inventory management, Demand management, Capacity planning, project management, Inventory Models (for MRP), JIT, MRP, Scheduling, Quality management (TQM), and Human resources in operations management (work and performance measurement).

· Quantitative methods (Business statistics): Basic tools for collecting, analyzing, presenting, and interpreting data. Probability distributions, sampling and sampling distributions, interval estimation, and hypothesis testing.

nULG – Université de Liège, Belgium (January 1999 – August 2003)

Assistant professor of production management at the School of Business and Management at Liège University

Production Management : Strategic options for long, medium and short terms, Quality, Production Planning (use of LP models), Inventory Models (for MRP), Capacity Planning, JIT, MRP, Scheduling,  (level Bac+4)

nUniversité Joseph Fourier, Grenoble, France (1995 -1997)

Assistant in Operations Research: Linear (and Integer) programming, Transport and Assignment problems, Network Flows, post-optimization (Sensitivity Analysis), MPL+Cplex Software  .. (level Bac+3).

· Nurse scheduling at hospitals in Kingdom of Saudi Arabia, Co-Investigator. 

· Design and implementation of mobile botnet detection system for wireless cellular networks. Co-Investigator. To be re-submitted on March 2014.

· “A new optimization model for techno-economic studies in the case of solar energy”, Principal investigator, Sustainable Energy Technologies (SET), King Saud University. 

· “On the use of Simulated annealing for balancing Hydraulic turbine “, Principal investigator, Deanship of Scientific Research, Research Center, KSU. 

·  Former Head of examination unit (three years), College of Engineering.

· Member of the registration committee for the 7th Saudi Engineering Conference www.saudiec7.com from 2 to 5/12/2007

· Member of the IE committee for the “proposed academic plan for a highly competitive college of engineering”.

· Chairman of the IE website committee. I have developed the entire IE website.

· During my stay at Al Akhawayn University, I was member of several committees (MBA, evaluation, Academic Advisory council …) at the school of Business. I have also contributed in designing new programs in Operations management and Supply chain management/logistics for the engineering school.

· Member of NCAAA committee (1 year).

· Member of IE program review committee.

· Member of OR team to review operations research courses for ABET accreditation.

· Large scale models, network optimization, scheduling, linear, non-linear and goal programming, sensitivity analysis, heuristics, graph Theory, complexity, …

· Attended a training on “Petroleum Economics “, April 9 -12, 2002, Institut Français du Pétrole, Ruel Malmaison, France.

· Some practice on RHYTHM Mill Scheduler for Casters (I2 technologies software: 3 days training)

· Mathematical programming software (optimization, programming …): MATLAB, GAMS, CPLEX/ILOG, LINGO/LINDO, MPL, AMPL, AIMMS, C, C++ …

· Fluent in English, Arabic and French (speaking, reading and writing).

· Good knowledge of real-world problems, Total quality management, management by objectives, gas and electricity models, production planning, JIT, MRP, inventory models, sequencing, business statistics…

See Publications page

 "Industrialization & Supply Chain Excellence, an Academic perspective", 2nd Annual Supplier Conference (Global Expertise, Local Industry - Working together for supply chain excellence), organized by BAE Systems,  Riyadh, Saudi Arabia, November 28, 2011

• “Operations research applications in metal industry”, IE-chapter at SCE, www.iec-ksa.org , Riyadh Palace, 26 May 2008.

• “A Mixed-Linear Transportation Model for Managing Raw Material Supplies using Multi-Origin Contracts”, KACST, Riyadh, workshop on transportation dynamics, 29 May, 2007

 The quadratic assignment problem (QAP) is a special type of the facility layout problem, where we have to minimize the distance and the flow between sites and factories.

We use the algebraic formulation of the QAP and we deal with distance matrices and the flow matrices B of small rank.

Different known problems are shown to be instances of QAP with this particular form, as for instance the traveling salesman problem, the problem to assign blades on a cylinder or hydraulic turbine problem and the storage of files on hard disk.

Our particular formulation, based on the eigenvalues and the eigenvectors of A and B, allows us to deal with instances for which A or B is of rank one. We show that, if A and B are of rank one and unrestricted in sign, the problem is NP-hard (reduction from equipartition problem). Since this problem is intractable, we identify several NP-hard instances by a lifting procedure for the rank procedure from 1 to r and of B from 1 to s.

Another proof is done on the QAP complexity for given instances (reduction from even-odd partition problem). The problem remains very difficult for small ranks of A and B. We give exact solutions if A and B have special structures, whereas the general case is NP-hard. Then, we propose a heuristic method based on matrix approximation by matrices with small rank, in particular rank one.  Numerical tests are provided and show interesting results for some instances. We review the most interesting lower bounds and we introduce several new ones for the rank 1 (one) matrices A and B.

 Miscelaneous

 From June 1 to July 14 2005: Visiting Professor at Leibniz Laboratory, Operations research team, Université Joseph Fourier, Grenoble, France.

 Referees

 Available upon request.