First Major: Any TEN (10) courses of the following have to be completed for a First Major in OPERATIONS MANAGEMENT (OM) (10 X 3) 30 credit hours.
Second Major: Any SIX (6) courses of the following have to be completed for a Second Major in OPERATIONS MANAGEMENT (OM) (6 X 3) 18 credit hours.
Minor: Any FOUR (4) courses of the following have to be completed for a Minor in OPERATIONS MANAGEMENT (OM) (4 X 3) 12 credit hours.
|
Course Code |
Course Title |
Pre-requisite |
|
OMA-4001 |
Fundamentals of Quantitative Analysis |
20 core courses including BBA-3115 |
|
OMA-4002 |
Fundamentals of Operations Research |
20 core courses including BBA-3115 |
|
OMA-4003 |
Location Theory |
20 core courses including BBA-3115 |
|
OMA-4004 |
Simulation and Optimization |
20 core courses including BBA-3115 |
|
OMA-4005 |
Inventory Management |
20 core courses including BBA-3115 |
|
OMA-4006 |
Methods of Quality Control |
20 core courses including BBA-3115 |
|
OMA-4007 |
Managerial Forecasting |
20 core courses including BBA-3115 |
|
OMA-4008 |
Managerial Decision Analysis |
OMA-4007 |
|
OMA-4009 |
Quantitative Business Analysis |
OMA-4001 |
|
OMA-4010 |
Advanced Operations Research |
OMA-4002 |
|
OMA-4011 |
Special Topics in Quantitative Methods |
OMA-4001, OMA-4002 |
|
OMA-4012 |
Operations Strategy for Global Competition |
OMA-4002 |
|
OMA-4013 |
Product Strategy and Management |
20 core courses including BBA-3115 |
|
OMA-4014 |
Global Operations Management |
20 core courses including BBA-3115 |
|
OMA-4015 |
Advanced Operations Management |
20 core courses including BBA-3115 |
|
OMA-4016 |
Seminar in Operations Management |
OMA-4001, OMA-4002 |
|
OMA-4017 |
Supply Chain Management |
20 core courses including BBA-3115 |
|
OMA-4018 |
Revenue Management |
20 core courses including BBA-3115 |
|
OMA-4019 |
Advanced Project Management |
20 core courses including BBA-3115 |
|
OMA-4020 |
Advanced Total Quality Control |
20 core courses including BBA-3115 |
Introduces the methods of data presentation and analysis and their applications to business problems, including measures of data description, probability concepts and distributions and statistical decision theory. Also considers sampling theorem, hypothesis testing using different techniques.
A survey of operations research techniques with emphasis on problem formulation, model building, and model solution. Topics include mathematical programming, waiting-line models, simulation and decision theory.
Provides an overview of the basic models used in location analysis. Includes median centre and covering problems. Also covers brand positioning and voting theory. Considers both discrete and continuous models. Discussion of practical applications of location models.
Introduces the algorithms for optimization related to decision making in business environment. Emphasizes on the developing of simulation models and solving for the optimization of the real life problem through using the simulation technique.
Provides an overview of inventory systems and their impact on materials management. Considers the two fundamental inventory questions (when and how much to order) under variety of practical considerations. Includes topics such as: economic order quantity, just-in-time inventory systems, fixed-order size, fixed order interval, and deterministic and probabilistic systems. Discussion of practical applications of models.
Deals with the quality of production and inspection problems. Includes various types of Shewhert control charts and various types of acceptance sampling systems and procedures which are widely used in industries to improve product quality and to reduce costs. Sufficient theory is covered to supply practical working rules for the recognition of the limitations of methods, as well as their uses. Discussion of actual cases from industries.
Considers forecasting functions in an enterprise including quantitative and qualitative techniques and their characteristics, the selection and implementation of forecasting techniques. Emphasizes the basic concepts underlying different techniques and their suitability to various decision-making situations.
Deals with the analysis of decision problems under uncertainty, partial information, risk and competition. Considers the analytic hierarchy process, outranking procedures, and multi-attribute utility theory. Examines the construction and use of indifference curves for the solution of multi-stage decision problems, and numerical determination of stable solutions for problems with two competitors.
Presents a variety of applications of optimization models to business problems such as allocation, blending, and scheduling. Introduces concepts of production planning, inventory control, networks models and sequencing.
Continuation of the survey of topics and approach taken in OMA 4002. Problem formulation; model building and elementary mastery of state-of-the-art solution techniques are emphasized. Topics include integer programming, traveling sales representative problems, probabilistic programming, queuing, simulation and inventory theory.
Examines current issues in quantitative modeling and planning. Special emphasis placed on the managerial interpretation of results, and the problems of implementation.
Study of the development of competitive strategy for the operations functions, how that strategy relates to organizational strategy and how the operations function can contribute to an organizations competitive capabilities in the global market place.
Designed to thread product management and its relationships with business policies and procedures; the development of multi product strategies, means of developing such strategies and methods of commercialization.
A study of issues and problems related to managing global operations and current practices. Topics include international operations comparisons, international operations improvement and competitive leverage, issues critical to global operations, international cross-functional coordination, coordinating international material flow, coordinating international process and product design, among others.
Applications of the tools and techniques of operations management. Extensive use of case method.
Series of advanced seminars in Operations Management.
This course provides an overview of research in supply chain management (SCM). It has three parts. The first part reviews basic tools of SCM research through selected readings in economics, IT and operations research. The second part reviews the literature in SCM, covering topics such as inventory models, information sharing, information distortion, contract design, value of integration, performance measurement, risk management, and the use of markets for procurement. The last part is devoted to recent advances in SCM research.
Systems for revenue management - also called "yield management" or "revenue optimization" - combine the use of information technology, statistical forecasting, and mathematical optimization to make tactical decisions about pricing and product availability. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different fares, with fare availability changing as time advances and uncommitted capacity declines. This course will focus on the mathematical models that underlie contemporary revenue management practice, and on current research areas. The format will mix lecture and discussion with presentation of papers from the research literature.
This course is designed to focus on the applications of theoretical knowledge of Project Management. The project relating to both manufacturing and service industries are included in this course. The Advanced Project Management course formulated to cover project selection, planning, operations, resources management, scheduling, documentation, quality and budget control, time management and staffing. Emphasis will be given on quantitative and software base time, quality and budget control to complete the project in time.
This course is designed to provide with the efficient quality management tools to the learner. The aim of this course is to improve the operating performance of both manufacturing and service industries. Formulation of TQM matrices and its application, quantitative tools for quality measurement, benchmark for quality improvement, statistical tools for operating process evaluation and control, standardization of process operations will be discussed in this course. The learning of Software applications will be highly emphasized to improve quality of process operations. The ultimate target of this course is to teaching to use competitive tools to stay in the business.
This course is designed to focus on the applications of theoretical knowledge of Project Management. The project relating to both manufacturing and service industries are included in this course. The Advanced Project Management course formulated to cover project selection, planning, operations, resources management, scheduling, documentation, quality and budget control, time management and staffing. Emphasis will be given on quantitative and software base time, quality and budget control to complete the project in time.
This course is designed to provide with the efficient quality management tools to the learner. The aim of this course is to improve the operating performance of both manufacturing and service industries. Formulation of TQM matrices and its application, quantitative tools for quality measurement, benchmark for quality improvement, statistical tools for operating process evaluation and control, standardization of process operations will be discussed in this course. The learning of Software applications will be highly emphasized to improve quality of process operations. The ultimate target of this course is to teaching to use competitive tools to stay in the business.