1)Time Series Forecasting for Business


This is an introductory course to time series analysis. Various forecasting techniques are presented. This includes time series regression models, time series decomposition models, exponential smoothing methods, and Box-Jenkins methods for modeling and forecasting time series data. Computers will be used to obtain solutions to these problems. Formulation and analysis of business applications will be emphasized. Time series analysis, model identification, and estimations are done with computer software (Excel and/or MINITAB or SPSS).



2) Statistical Quality Control 


Statistical quality control refers to the use of statistical methods in the monitoring and maintaining of the quality of products and services. Topics include fundamental of statistics, definition of quality, deming’s fourteen points, total quality management (TQM), deming’s chain reaction, causes of variation in quality, different types of quality control, scope of quality control. Shewhart’s control chart technique, control chart with or without a given standard, control charts for variables and attributes, process capability analysis. consumer’s risk, producer’s risk, single and double sampling inspection plans, acceptable quality level (AQL), average outgoing quality limit (AOQL), average sample number (ASN), operating characteristic (OC) curve, average outgoing quality (AOQ) curve, average total inspection (ATI) curve. .


3) Purchasing Management


Purchasing management is the heart and soul of supply chain interaction since “the chain” starts with finding, selecting and managing effective and efficient suppliers of materials, equipment and services. Topics include the progression to professional supply management, purchasing descriptions and specifications, outsourcing, sourcing, negotiation, contract formation and legal issues, ethics & social responsibilities.


4) Productivity Measurement and Improvement


Productivity is concerned with equipment utilization, conserving materials and energy, and reducing human efforts. Topics include: productivity, work methods design, process analysis, activity charts, operations analysis, and setting time standards


5) Logistics Management


This course covers a wide range of topics in logistics management (such as distribution networks, transportation, location, warehousing, order fulfillment, global logistics, modeling, and planning). The students are introduced to a set of approaches for designing and planning logistics channels and efficiently integrating manufacturers, suppliers, and distributors across the supply chains. The course will cover basic strategic, tactical and operational issues in logistics management besides introducing some contemporary issues topics such as omni-channel networks.


6) Service Operations Management


This case course explores the dimensions of successful service firms. It prepares students for enlightened management and suggests creative entrepreneurial opportunities. Outstanding service organizations are managed differently than their "merely good" competitors. Actions are based on totally different assumptions about the way success is achieved. The results show not only in terms of conventional measures of performance but also in the enthusiasm of the employees and quality of customer satisfaction. Beginning with the service encounter, service managers must blend marketing, technology, people, and information to achieve a distinctive competitive advantage. Cases and projects will be used to expose students to the practical of service. The student will form teams to undertake a project to develop a solution to a real or close-to-real life problem in a task-by-task approach as the class progresses. Presentations or interim briefing will be required from student teams. The text will provide a reference for information, and the students are expected to do their own research through the library and the internet. Students must learn how to manage the use of their Time.

7) Supply Chain Management


This course would provide students with concepts, insights, practical tools and techniques for the management of supply chain. It covers design, planning, operation, and improvement of supply chain. Topics covered are supply chain strategies, sales & operations planning, information sharing and risk pooling, sourcing decisions, coordinated product and supply chain design, Information Technology in Supply chain, supply chain sustainability and improvement. Where appropriate, the global nature of the supply chain will be emphasized.


8) Quality Management


This course will examine the functions and design tools for developing quality systems for products and services. The basic concepts and approaches of quality related policies, quality problem identification or recognition, their analysis, and methods of solving them. The course will be a mixture of lectures and problem-oriented group projects. The student will form teams to undertake a project to develop a total quality solution to a real or close-to-real life problem in a task-by-task approach as the class progresses. Presentations or interim briefing will be required from student teams. The text will provide a reference for information, and the students are expected to do their own research through the library and the internet. Students must learn how to manage the use of their Time.

9) Project Planning and Control


The major proportion of important work in all areas is structured and accomplished using projects in the modern world. The study of project management has become essential for all professionals today. In the area of operations management, project management methodologies have been employed to achieve success in product and process design, supply chain, and quality projects among others. This course introduces essential concepts of project management and useful tools often used by project managers. The terminology used throughout the course conforms to the nomenclature used by the PMBoK (Project Management Body of Knowledge) which one of the widely followed standard by project organizations worldwide. Along the lines of PMBoK, the course is structured around the nine project management knowledge areas and five project management processes. Financial and people aspects of project management are covered in the course. The quantitative aspect of project management is also emphasized through topics such as earned value management and estimation.

10) Warehouse Management


The purpose of this course is to introduce students to concepts and practices used in modern storage facilities in order to improve operating costs, space utilization, productivity, throughput, and customer service. The main focus of the course is on the management and operation of storage facilities. However, some design issues related to layout and material handling are also discussed due to their impact on operations.


11) Principles of Management Science


This course presents quantitative methods necessary for decision making in business. The topics covered include introductory concepts in linear programming (LP), especially the solution of a LP model graphically and/or via software (Excel solver/ Lindo) before conducting a post-optimality analysis. Next, extensions to integer programming are discussed prior to applications to specific distribution problems. Formulation and analysis of more complex business applications will also be emphasized. Computers will be used to obtain solutions to some of these problems.


12) Special Topics in Operations Management


This course discusses basics of Operations Management in Healthcare (OMHC). It highlights some challenges in healthcare environment. SQU Hospital Operations management is discussed as a case study in the course.  Healthcare facility layout and resources planning are covered as well. Some tools of Quality Manangement such as; TQM and Six Sigma are explained. Each four students are requsted to conduct one main Lean Management projects at SQU Hospital. Furthermore, healthcare supply chain management and healthcare accreditation are discussed in the course.


13) Applied Optimization Methods


Mathematical programming techniques for optimization are studied with a view to applying them in solving operations management problems. Both exact and approximate solution approaches are considered. The course also covers multiobjective decision problems and techniques for solving them, as well as fundamentals of data envelopment analysis and game theory.

14) Inventory Management


This course covers the fundamental principles of inventory control. Inventory management measurements and techniques will be explained. The financial importance of inventory management and control and its relationship to company financial statements will be reviewed. The basic inventory models are explained for a single item with deterministic independent demand. More advanced models are introduced for different stochastic inventory settings.

15) Operations management 


Operations management is the study of all activities that involve the processing of the inputs of a business and deliver its outputs. Topics include competiveness and operations strategy, quality management, forecasting, layout, inventory management, aggregate planning, project management, and supply chain management. Use of computers and integration of modern management science methods in operations management are emphasized.