Introduces basic essential topics in descriptive and inferential statistics with emphasis on applications in business. Covers basic concepts of probability and probability distributions, estimation theory, test of hypotheses, analysis of variance (ANOVA), simple and multiple regression analysis, and introduces nonparametric statistics. Equivalent to CRP 505 Not to be taken for credit with CRP 505 in the MBA degree plan.

Probability and probability distributions; estimation theory and hypothesis testing; simple and multiple regression; analysis of variance; nonparametric and modeling techniques. Application of statistical concepts to business problems and the use of statistics in the decision making context.

Linear Programming and its extensions: the Simplex algorithm, duality theory, post-optimality analysis, transportation and assignment models; network models: PERT/CPM; dynamic programming inventory control with deterministic and probabilistic models; queuing theory. The use of the Operations Research and Operations Management Computer Business Programs Library will be emphasized. Prerequisites: OM 501, OM 502 COLLEGE OF INDUSTRIAL MANAGEMENT

The course is concerned with a wide variety of managerial decision-making models currently used in the field of operations management. Throughout the course, algebraic formulation and spreadsheets modeling will be used side-by-side to help develop conceptual thinking skills and how they are applied and interpreted. Emphasis will be on primal and dual Linear and Linear Programming, Integer Programming, Multi-objective, Transportation, Assignment, Transportation, and other Network Optimization models. Students are expected to use the spreadsheet modeling extensively throughout the semester to solve, analyze and interpret the management science scenarios

Process Management; Business Process Re-Engineering; Total Quality Management; International Quality Standards such as ISO 9000, Statistical Process Control; Work Force Management and Scheduling: Capacity Planning; Aggregate Planning; Location Decisions; Layout Planning; Purchasing and Materials Management; Inventory Management Systems: Probabilistic and Deterministic Inventory Models; JIT, MRP and MRP II. Prerequisite: OM 511

Pre-Requisites: OM511

Provides an overview of several operations and supply chain management concepts including process design and analysis; productivity competitiveness, operations strategy, forecasting, inventory management, quality management, scheduling capacity planning logistics and locations decisions, and project management. By focusing on the roles of different parties involved in operations and their interactions, the course will help developing the managerial insights for the supply chain management.

Introduction to inventory and materials management, production and inventory planning systems, master scheduling of production, production capacity planning, production scheduling, forecasting and demand management, inventory management systems for independent demand (both deterministic and stochastic demands), inventory management systems for dependent demand items such as aggregate planning, materials requirement planning or MRP for push inventory control, just in time or JIT for pull inventory control, etc. Computer applications for inventory management, real world case studies and industry-focused course projects will be used as major artifacts in the learning process.

Focuses on principles and methods of business forecasting, including; short and long-term industry forecasting, evaluation of reliability of existing forecasting techniques, national and international business trends, the role of business forecasting in managerial planning, and the use of time series models including exponential smoothing and Box-Jenkins (ARIMA) techniques for business and economics forecasting.

Topics may include: Decision-making under uncertainty. Decision Trees. Multicriteria decision-making. Data Envelopment Analysis (DEA). Analytical Hierarchy Process (AHP). Prerequisite: OM 511

Emphasizes activity network, managing resources, and creating control mechanism that minimize risk. Project leadership is explored in the context of building effective project teams and maintaining stakeholder relationship. Topics include basic project management concepts including time and resource constraints, planning, scheduling, work break down structure, Gantt Charts, network diagrams, and project control. (Equivalent to EM550) Not to be taken for credit with EM 550

Application of computer simulation to the analysis and design of management decision systems. Design of simulation experiments in business research. Prerequisite: OM 511

Analysis of business organizations as integrated inventory systems. Inventory theory and model building as tools for management decision-making. General discussion of inventory models, with emphasis on characterizing the terms of optional policies and efficient computational methods. Prerequisite: OM 512

Addresses strategic and tactical issues pertaining to an organization's global supply chain and logistics activities. Topics include designing global supply chains, sourcing, evaluating international suppliers, outsourcing, logistics, financial management issues, relationship management, information management, inventory management, and integration and performance measures. Relies on cases to understand and solve problems related to the management of global supply chains and logistics.

Pre-Requisites: OM511*

Co-Requisites: OM 511

Topics would include strategic role of procurement, procurement strategy, procurement policies and procedures, strategic supplier relationship and partnering, legal and contractual management, supplier selection and evaluation, cost management, global sourcing, negotiations, contract management, category management. Case studies in Strategic Sourcing..

Modern ERP Applications. Topics would include: Information Systems, ERP System Overview, ERP Supply Chain Key Application Setups, ERP Inventory Management, ERP Purchasing Management, ERP Supply Chain Reports, Managing ERP Projects, and ERP Case Studies.

Utilizes analytic methods such as spreadsheet modelling, nonlinear optimization, multi-objective programming, and Monte Carlo simulation in decision-making. Students learn to develop mathematical models that can be used to improve decision making within an organization, sharpen their ability to structure problems and to perform logical analyses, translate descriptions of decision problems into formal models and investigate those models in an organized fashion, Identify settings in which models can be used effectively, and apply modelling concepts in practical situations. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, operations, and marketing.

Tools and theories of strategy analysis, analysis and preparation of plans for how business units create and sustain competitive advantage, devising plans for how a SC Strategy can be realized and connected to the Business Strategy, describing why and how SC can be designed to enhance the competitiveness of modern industrial firms, identifying opportunities and threats through internal and externals analyses, performing economic trade-offs, identifying tools and models for strategic analyses, using the SCOR Model to map processes in a supply chain, understanding pros and cons of different change strategies, setting up a Supply Chain Strategy, etc.

Basic quantitative techniques used in the analysis of business decision problems are introduced. Techniques covered include descriptive and inferential statistics, linear programming, decision trees, queuing theory and simulations.

An overview of several operations and supply chain management concepts including process design and analysis; productivity competitiveness, operations strategy, forecasting, inventory management, quality management, scheduling, capacity planning, logistics and locations decisions, and project management. By focusing on the roles of different parties involved in operations and their interactions, the course will help developing the managerial insights for the supply chain management.

Provides managerial concepts in supply chain management. The major issues and strategies in supply chain will be identified for better understanding of performance. The major content of the course is divided into three modules: supply chain integration, supply chain decisions, and supply chain management and control. A variety of instructional tools including lectures, case discussions, and group projects and presentations are employed.

A research proposal must be submitted in writing by the student and be approved by the supervising faculty member and the MBA Chairman prior to registration. The student is required to conduct a research study in the area of operations management that is business related and adheres to all elements of sound business research. The study methods and findings must be presented orally and in writing in a manner that is consistent with acceptable standards of research communication.

The course is offered on a student-to-faculty basis. For a student to register in such a course with a specific faculty member, a clear Research Plan of the intended research work during the course is required to be approved by the Graduate Committee of the department and reported to the Deanship of Graduate Studies. At the end of the course, the student should submit a final report.