Operations Management (OMG)

OMG 402. Operations Management. 3 credits

Operations Management introduces the concepts and skills needed to design, manage, and improve service and manufacturing operations. The course develops a managerial perspective of the operations function and an appreciation of the role that operations plays in creating and maintaining a firm's competitive edge. The course introduces process analysis, performance measurement systems for operations, and production control systems. Quantitative models and case studies apply these skills to service process management, manufacturing, inventory control, supply chain management and project management. The course highlights the role of effective operations management in the strategic direction of the firm as well as the connections between operations and other functional areas.

OMG 411. Supply Chain Analytics. 3 credits

This course gives an overview of supply chain management in a wide variety of industries such as: groceries, style goods, consumer electronics and services. The impact of shifts from traditional channels to e-commerce will be emphasized. New initiatives introduced to address these new challenges, such as vendor managed inventory (VMI), variety postponement, cross docking, real options contracts and quick response, will be studied and applied both in class and assignments. Supporting software, such as Enterprise Resource Planning (ERP) and supply chain tools, will also be discussed.

OMG 412. Service Management. 3 credits

Success of service management critically depends on managing the integration of business processes with customers as well as all related support systems (technology, human resources, information flow). This integration presents a challenge to service managers who need to address significant variation in customer expectations and requirements while controlling costs and remaining competitive. This course provides a foundation for the analysis and improvement of businesses, paying particular attention to the service sector. The type of analysis learned in this course is required in virtually every industry as companies work to improve their bottom-line performance. The best way to improve performance is through a holistic approach, where the structure of processes, information and technological requirements, and the managerial implications, are considered concurrently.

OMG 413. Operations Strategy. 3 credits

For many firms, the operations function marshals the majority share of a firms assets and resources while producing products and services. Decision-making in operations can have a decisive effect on both the cost and the attractiveness of the firms outputs. Thus the management of operations activities is a critical factor in a firms competitive strategy. This is a course that explores operations related decisions in the context of overall business, operations, financial and marketing strategies. Strong emphasis is given to valuation of different operational strategies and NPV analysis. Many types of operations decisions are considered: location, capacity, sourcing, flexibility, and process choice. Risk management and financial evaluation of capital projects will be discussed. In addition to financial evaluation, students will analyze the fit of strategic choices in the competitive context a firm faces.

OMG 415. Process Improvement. 3 credits

This course will teach a systematic method for understanding and improving ongoing business processes. The techniques learned in this class provide a systematic method of asking questions, collecting data, and analyzing that data to learn how processes work (or are failing) and what can be changed to improve them. The statistical techniques you will learn are SPC (Statistical Process Control, used as a proactive tool for investigation rather than its traditional role as a reactive tool), MSA (Measurement Systems Analysis, for determining if your measurement system is capable), FMEA (Failure Modes and Effects Analysis), and DOE (Design of Experiments). In addition to these analysis tools, there will be a strong emphasis on the process of data acquisition. To support the process of acquiring the right data and learning the analysis tools, you will do a small outside project for the class and a series of in-class simulations. You will learn to use two additional tools that support the questioning that leads to good data acquisition: process mapping (of the process you will be improving) and thought process mapping (of the process you use to solve the client's problem).

OMG 416. Project Management. 3 credits

The topics treated in this course span a wide spectrum of issues, concepts, systems, and techniques for managing projects effectively in today's complex business environment. Students are led through a complete project life cycle, from requirements analysis and project definition to start-up, reviews, and phaseout. Important techniques for controlling project costs, schedules, and performance are studied. The course employs a combination of lectures, case analyses, business/project simulations, videos, Internet resources, and group discussions to develop the conceptual understanding and operational skills needed for effective managerial role performance.

OMG 437. Managing Health Care Operations. 3 credits

The health care industry is undergoing rapid growth as well as rapid structural changes. New technology, changing reimbursement mechanisms, and increased competition create many interesting management problems, not in the least in the area of health care operations. In this course, we will study the operations of various types of health care provider organizations (such as hospitals, HMOs, group practices, nursing homes, etc.) and other participants in the industry (such as insurance companies, pharmaceutical companies, suppliers and consulting companies). Topics that will be studied include: patient and provider scheduling, capacity management, providing services and supplies to health care providers, new product development and integrated delivery systems.

OMG 460. Special Topics in Operations Management. 3 credits

This course provides a critical study of selected topics in operations management focusing on best practice and the status of research efforts to date. Potential topics are: yield management, operations and information management issues in retail fashion and media, transportation management, or customers' relationship management.

OMG 461. Strategy & Business Systems Consulting Practicum. 3 credits

This course provides students with an introduction to strategy and business systems consulting. It is aimed at students who wish to explore career opportunities within the major consulting firms, but is also relevant for students considering a career as an independent consultant, or within a corporation's internal consulting group. The course focuses on three areas: (1) The Consulting Industry: Students will examine several types of consulting (e.g., strategic, operations, systems, human resource, and marketing) and understand where the major consulting firms position themselves. The career paths for graduates entering the industry, and the skills and values necessary for success as a consultant will be scrutinized. (2) The Business Systems Consulting Process: The creation of proposals, the winning of consulting engagements, and the preparation of contracts will be discussed. The typical stages of a business systems consulting engagement (e.g., problem framing, analysis design, gathering data, interpreting results, architectural solution, and presentation of recommendations) and managing different sorts of consulting projects (e.g., operational improvement, supply-chain optimization, quality improvement, strategy formulation, and organization design) will be examined. (3) Consulting Skills: The role of the consultant and the human dimension will be discussed (e.g., personal attributes of consultants, relationship building, and team building). Diagnostic tools and data gathering techniques (e.g., questionnaires and interviews) will be presented. Frameworks for problem solving, and communicating recommendations will also be introduced. The course examines a wide range of modern global business challenges and opportunities from both the consultant's and the manager's perspectives and provides a learning platform to integrate and practice the skills and knowledge learned.

OMG 501. PhD Seminar In OMG. 3 credits

These six PhD seminars are offered in the fall, winter and spring quarters, with major topics such as the following: distribution/ inventory theory; flexible-manufacturing systems; (production) batching, scheduling and sequencing; reliability/maintenance management; design/strategy; routing/vehicle scheduling; quality; production-control systems; and planning models. Topics for the joint CIS/OMG seminars include: computer-integrated manufacturing, network-based industries, performance evaluation of dynamic systems, business expert systems and artificial intelligence.

OMG 502. PhD Seminar In OMG. 3 credits

These six PhD seminars are offered in the fall, winter and spring quarters, with major topics such as the following: distribution/ inventory theory; flexible-manufacturing systems; (production) batching, scheduling and sequencing; reliability/maintenance management; design/strategy; routing/vehicle scheduling; quality; production-control systems; and planning models. Topics for the joint CIS/OMG seminars include: computer-integrated manufacturing, network-based industries, performance evaluation of dynamic systems, business expert systems and artificial intelligence.

OMG 503. PhD Seminar In OMG. 3 credits

These six PhD seminars are offered in the fall, winter and spring quarters, with major topics such as the following: distribution/ inventory theory; flexible-manufacturing systems; (production) batching, scheduling and sequencing; reliability/maintenance management; design/strategy; routing/vehicle scheduling; quality; production-control systems; and planning models. Topics for the joint CIS/OMG seminars include: computer-integrated manufacturing, network-based industries, performance evaluation of dynamic systems, business expert systems and artificial intelligence.

OMG 521. Advanced Research Sem. 3 credits

These six PhD seminars are offered in the fall, winter and spring quarters, with major topics such as the following: distribution/ inventory theory; flexible-manufacturing systems; (production) batching, scheduling and sequencing; reliability/maintenance management; design/strategy; routing/vehicle scheduling; quality; production-control systems; and planning models. Topics for the joint CIS/OMG seminars include: computer-integrated manufacturing, network-based industries, performance evaluation of dynamic systems, business expert systems and artificial intelligence.

OMG 522. Advanced Research Sem. 3 credits

These six PhD seminars are offered in the fall, winter and spring quarters, with major topics such as the following: distribution/ inventory theory; flexible-manufacturing systems; (production) batching, scheduling and sequencing; reliability/maintenance management; design/strategy; routing/vehicle scheduling; quality; production-control systems; and planning models. Topics for the joint CIS/OMG seminars include: computer-integrated manufacturing, network-based industries, performance evaluation of dynamic systems, business expert systems and artificial intelligence.

OMG 523. Advanced Research Sem. 3 credits

These six PhD seminars are offered in the fall, winter and spring quarters, with major topics such as the following: distribution/ inventory theory; flexible-manufacturing systems; (production) batching, scheduling and sequencing; reliability/maintenance management; design/strategy; routing/vehicle scheduling; quality; production-control systems; and planning models. Topics for the joint CIS/OMG seminars include: computer-integrated manufacturing, network-based industries, performance evaluation of dynamic systems, business expert systems and artificial intelligence.

OMG 531. Analysis Of Production Systems. 3 credits

The course introduces the theory of production and inventory systems, and discusses mathematical models used in designing and managing real-world systems. Topics include: aggregate production planning, static and dynamic approaches to operations scheduling, inventory control with known and uncertain demand, flexible and high-volume manufacturing systems, hierarchical production planning systems and manufacturing resource planning.