Course Descriptions

Operations and Supply Chain Management Courses

Faculty

Professors: Injazz Chen, Jen-yi Chen, Chia-Shin Chung, , Walter O. Rom; Oya I. Tukel (Chair); Associate Professor: Susan A. Slotnick; Associate Professor Emeritus: Ronald L. Coccari; Term Assistant Professors: Richard Miller; Visiting Assistant Professor:Robert Stoll;

OMS 201 Business Statistics I (3-0-3). Prerequisite: MTH 149. Application of statistical methods to business problems; topics include descriptive statistics, elementary probability, random variables and probability distributions, the binomial, Poisson, and normal and "t" distributions; estimation and hypothesis testing; type I and II errors and their control. Return to top

OMS 202 Business Statistics II (3-0-3). Prerequisite: OMS 201 or equivalent. Application of statistical methods to business problems; topics include chi-square analysis, the F distribution, one-way and two-way analysis of variance, correlation analysis, simple and multiple regression analysis, and introduction to forecasting with regression models; use of computer programs in solving statistical problems. Return to top

OMS 311 Introduction to Operations Management (3-0-3). Prerequisite: OMS 201or equivalent. Introduction to the design and management of manufacturing and service operations.  Students will learn to recognize the basic tradeoffs associated with operations management decisions, to identify and quantify operating characteristics of different manufacturing and service systems, and to apply a variety of tools and techniques used by operations managers. Topics include product and service design, lean operations, capacity planning, location decisions, warehouse operations, and supply chain management. Return to top

OMS 312 Supply Chain Analytics (4-0-4). Prerequisite: OMS 311. This course introduces the use of spreadsheets in analysis, interpretation and implementation of supply chain decision problems.  Emphasis is on the computer modeling of a management decision problem, graphical representation of computer solutions, what-if analysis, and sensitivity analysis. Return to top

OMS 412 Supply Chain Management (4-0-4). Prerequisite: OMS 311. This course focuses on developing models for the flow of goods and services through a distribution channel from supplier to the ultimate customer. Topics covered include methods of  supply chain management; supply chain network design; coordination with 3PL and 4PL companies; intermodal systems; transportation models; cross-docking; vendor managed inventories and warehouse management; demand management and bullwhip effect.Return to top

OMS 413 Production Planning and Control (4-0-4). Prerequisite: OMS 311 or permission of the instructor. Planning, scheduling, and controlling of activities related to the production of goods are examined. Topics include manufacturing planning and control, short-term forecasting systems, demand management and order servicing, sales and operations planning (SOP), master production scheduling (MPS), enterprise resource planning (ERP), supply chain management (SCM) inventory, material requirements planning (MRP), bills of material (BOM), capacity requirements planning (CRP), distribution requirements planning (DRP), advanced concepts in material requirements planning. Return to top

OMS 415 Case Studies in Operations Management (4-0-4). Prerequisite: OMS 311 or permission of the instructor. Examines classic and current issues in operations management.  Provides advanced fundamental and strategic methodologies for operations decision making. Topics include supply chain management, e-commerce, JIT, enterprise resource planning, service operations management, customer service, purchasing, quality control, human resource management, and strategy. Includes readings, lectures, guest speakers, and plant tours. Return to top

OMS 417 Principles of Lean Operations (4-0-4). Prerequisite: OMS 311 or permission of the instructor. The primary focus of this course is to present techniques which are intended to synchronize and streamline the production process including inventory management.  Non-value added activities and waste are the targets of these techniques. Topics include value stream mapping, 5S, set-up time reduction, six sigma, maintaining and improving equipment, small lot production, and level scheduling in pull production. Return to top

OMS 419 Operations Strategy (4-0-4). Prerequisite: OMS 311 or permission of the instructor. A study of the development and implementation of operations strategy in manufacturing and service settings, and the interface and integration of this strategy with other functional areas such as marketing, finance, etc. Topics include strategic perspectives on the design and introduction of new products and services, competitiveness, capacity, quality, choice of process and technology, productivity management and supply network relationships. Return to top

OMS 421 Service Operations Management (4-0-4). Prerequisite: OMS 311 or permission of the instructor. A study of the design, control, planning, and evaluation of service systems, including service aspects of manufacturing firms. Topics include the strategy of designing and implementing service systems, measurement and improvement of their quality and productivity, and the roles of supply chain management, demand management and technology. Students will use quantitative tools to analyze service systems in order to measure and improve their performance, and apply these concepts and tools in the analysis of cases. Return to top

OMS 422 Project Management for Business and Technology (3-2-4). Prerequisite:OMS 311 Business students with junior standing or permission of OMS Department chair. Designed to teach students how to design, implement and control "business" and "technical" projects. Students will be exposed to projects in product development, marketing, process improvement, and engineering projects to learn the differences and similarities in managing them as well as the human side of project management. The course coverage is intended for advanced undergraduate students and it is designed to help them get started as project managers. The course coverage also prepares students for the Project Management Professional (PMP) Certification exam. Microsoft Project package will be used during lab hours. Return to top

OMS 424 Transportation Management (4-0-4). Prerequisite: OMS 311 This course is designed to introduce the student to the transportation activities in supply chain systems.  Specifically the transportation providers such as motor carriers, railroads, and intermodal services are covered, as well as the rules and regulations under which they operate.  Ocean freight issues, the role of port authorities, cost and pricing strategies, and dealings with third party logistic providers are also covered to illustrate the impact that transportation has on the global sales of goods and on international business.Return to top

OMS 425 International Operations Management (3-0-3). Prerequisite: OMS 311. Introduces students to the advantages and pitfalls of managing productive systems outside the US.  Study of multinational manufacturers and the effects of culture, language, politics, and trade agreements on global supply chain performance through case studies. Topics include history of international trade, operations in global business strategy, improving global supply chain performance, Japanese tier system for outsourcing, global quality standards, and global service operations. Return to top

OMS 431 Sampling and Experimental Design (4-0-4). Prerequisite: OMS 202. This course presents the principal applications of sample surveys, survey design, criteria of a good sample design, and characteristics of simple random sampling, stratified random sampling, and cluster sampling. Case studies are used where appropriate to illustrate applications of survey sampling. This course also explains how to plan an experiment so that appropriate data can be collected and analyzed and a reliable conclusion can be drawn. Topics covered in the design of experiments include fundamentals, completely randomized design, randomized complete blocks, Latin square, factorial, nested factorial, and analysis of variance in regression models. Strong emphasis will be placed on the application of SAS software to actual data. Return to top

OMS 433 Data Analysis (4-0-4). Prerequisite: OMS 202. This course presents practical applications of statistical methods by using SAS software. The emphasis is on giving students experience in solving business problems using appropriate statistical methods. The SAS topics to be covered include creating SAS data set, using SAS procedure, summarizing data, and interpreting outputs. Statistical techniques studied and applied include organization and presentation of data, statistical testing, multiple regression, analysis of variance, and experimental design. Case studies and projects, with SAS applications, are used to show the application of statistical methods to business problems. Return to top

OMS 434 Multivariate Analysis (4-0-4) Prerequisite: OMS 202 or equivalent.  Develops applications of multivariate statistical methods such as multiple regression, factor analysis, multiple discriminant analysis, multivariate analysis of variance, canonical correlation analysis, conjoint analysis, cluster analysis, multi-dimensional scaling (MDS), and structural equation modeling. Computer program packages for the various multivariate methods are used extensively. The emphasis is on the analysis of actual data from applied business data and case studies.Return to top

OMS 435 Forecasting (4-0-4). Prerequisite: OMS 202 or equivalent. A critical study of the forecasting methods available for use in business and nonbusiness organizations. The emphasis is on developing the ability to use regression and time series methods. Topics will include simple and multiple regression models, leading indicators, smoothing models, classical decomposition, time-series regression models, seasonal-cyclical models, BOX-Jenkins analysis, integrating forecasting and planning in practice, comparison and selection of forecasting methods. An evaluation of forecasting techniques is also presented, including evaluation of accuracy, techniques for improving accuracy, and analysis of the appropriateness of each model. In addition, a number of statistical and forecasting software packages are demonstrated. This will enable the student to complete a series of forecasting projects that are required as part of the course. Return to top

OMS 442 Innovation Management (4-0-4). Prerequisite: Business students with junior standing or permission of OMS Department Chair. Students learn how to manage and foster innovation from a general manager’s perspective. Topics covered include models describing the types of innovation, differences between incremental and radical innovation, protection of intellectual property, fostering creativity, and new product development processes, such as Stage-Gate.  Return to top

OMS 445 Quality Control and Management (4-0-4). Prerequisite: OMS 311. This course covers the core principles of the management of quality in the production of goods and services. Statistical quality control techniques are used in the implementation of these principles. Topics include TQM, continuous improvement, control charts, sampling plans, process capability, and ISO 9000. Applicable computer software is used to implement the techniques. Return to top

OMS 448 Queuing and Simulation (4-0-4). Prerequisite: OMS 202. This course covers the application of simulation and animation techniques to queuing systems using personal computers. Included are more complex systems such as those encountered in production, inventory, and service systems. Statistical tools are used to analyze the simulated systems. In addition, the use of simulation software will be an integral part of the course. Return to top

OMS 490 Professional Internship in Operations Management and Business Statistics (1 to 4 credits). Prerequisites: OMS 201-202 and OMS 311, junior standing, and approval of chair and sponsoring professor. Requires professional operations management/statistics work experience in an organizational environment that extends the curriculum and provides meaningful experience related to the student's area of interest. Term report required. The course is graded on a Pass/Fail basis. Return to top

OMS 493 Special Topics in Operations Management (1 to 4 credits). Prerequisite: Senior standing and permission of instructor and department chair. Explores current issues or special topics in operations management and business statistics. Topics and course requirements will be announced by the department. Return to top

OMS 496 Independent Study (1 to 4 credits). Prerequisites: Senior standing, approval of sponsoring professor and department chairperson, written proposal approval before registration. Flexible content/structure course to enable qualified students to pursue special areas of interest and competency; opportunity for independent study, field research, or other special assignments. Return to top

OMS 499 Honors Thesis in Operations Management and Business Statistics (4 credits). Prerequisite: Restricted to senior OMS honors students. Requires the honors student to conduct a piece of original research in operations management or business statistics under the supervision of an OMS faculty member. The thesis will be presented orally and submitted as a written report. Return to top

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Cleveland State University
2121 Euclid Avenue, MC 107A
Cleveland, OH 44115-2214
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