IEM Course Description

2903

Manufacturing and Service Systems and Tools I. Prerequisites: ENGR 1111; MATH 2144. Introduction to definition, design, operation, and improvement of systems that produce goods and services. Case studies featuring classical and con­temporary issues in industrial engineering and management. Issues include system effectiveness and efficiency in meeting customer needs, demands and expecta­tions. Introduction to computer-aided tools useful in documentation, analysis, and modeling within contemporary or­ganizations.

3103

Introduction to Probabilistic Modeling. Prerequisite: MATH 2153. Introduction to concepts and models of randomness, which support industrial engineering and engineering management analyses and decision making. Includes probability models, statistical models and distribu­tions, Markov processes, and Little's Law.

3303

Manufacturing Processes. Lab 3. Prereq­uisites: ENGR 1322 and ENSC 3313. Man­ufacturing processes used to transform new materials including metals and non-metals into finished goods. Traditional and nontraditional manufacturing processes. Introduction to CAD/CAM. Basic process selection. Metrology and measurement fundamentals.

3403

Collaborative Engineering Project Man­agement. Prerequisites: 2903, 3703. Engineering management and group issues involved in project planning, implementation, and teamwork, as well as techniques related to effective project management in engineering topics addressed include project management methodolo­gies and software; teamwork structures, processes, and collaborative technologies; process management, leadership and other team roles.

3503

Engineering Economic Analysis. Prereq­uisite: MATH 2153. Development and use of time value of money models. Bases for comparison of alternatives, including pres­ent worth, annual worth, rate of return and payout period methods. Decision making among independent, dependent, capital-constrained and unequal-life projects. Replacement, breakeven and minimum cost analyses. Depreciation and depletion methods and their effect on corporate income taxes, leading to after-tax cash flow analysis. Introduction to financial reports.

3513

Economic Decision Analysis. Prerequisite: MATH 2123. Quantitative evaluation of in­vestment alternatives for non-engineering majors. The role of interest in economic equivalence and in formulating economic comparisons based on present worth, annual equivalent, rate of return and payout criteria. Accounting, depreciation and income tax considerations. Benefit-cost and cost-effectiveness analysis. Cost estimation and allowance for variance in estimates. Not available for credit in industrial engineering curriculum.

3523

Engineering Cost Information and Control Systems. Prerequisite: MATH 2144. Intro­duction to basic accounting concepts and operating characteristics of accounting systems relevant to engineering analysis and decision making. Principles of financial and managerial accounting, activity based costing, taxes and depreciation. Emphasis on interpretation and use of accounting information for decision making.

3703

Manufacturing and Service Systems and Tools II. Prerequisites: ENGR 1111, MATH 2144. Introduction to definition, design, operation, and improvement of systems that produce goods and services. Case studies featuring classical and contem­porary issues in industrial engineering and management. Issues include system effectiveness and efficiency in meeting customer needs, demands and expecta­tions. Introduction to computer-aided tools useful in documentation, analysis, and modeling within contemporary or­ganizations.

3813

Work Design, Ergonomics, and Human Performance. Lab 3. Prerequisite: 3103. Evaluation and design of work systems and processes employing humans. Em­phasis on simultaneously achieving high productivity and employee health, safety and satisfaction.

4010*

Industrial Engineering Projects. 1-3 cred­its, maximum 6. Prerequisite: consent of school head. Special undergraduate proj­ects and independent study in industrial engineering.

4013*

Linear Modeling I. Prerequisites: 3103, MATH 3263. Fundamental methods, mod­els, and computational techniques of linear programming, including transportation and related network models relevant to industrial engineering and engineering management. Practical applications of operations research from manufacturing, service, and government/or organizations.

4020

Undergraduate Engineering Practicum. 1-3 credits, maximum 4. Prerequisites: consent of IEM adviser, admission to the Professional School of Industrial Engi­neering and Management and satisfactory completion of at least 12 hours of IEM 3000 or 4000 level courses. Professionally supervised experience in real life problem solving involving industrial projects for which the student assumes a degree of professional responsibility. Activities ap­proved in advance by the instructor. May consist of full or part-time engineering experience, on-campus or in industry, or both, either individually or as a responsible group member. Periodic reports both oral and written required as specified by the adviser.

4103*

Introduction to Quality Control. Prereq­uisite: 3103. Performance excellence in an enterprise, including relationships be­tween industrial engineering and quality control. Statistical quality control concepts to measure, monitor, diagnose, and im­prove performance at the enterprise level, the operational level, and the project level. Quantitative and qualitative quality tools to solve problems and capture opportuni­ties for improvement.

4113*

Industrial Experimentation. Prerequisite: 3103. Analytical methods for the purpose of process improvement. Experimental designs including single, blocked and multiple factors. Introduction to fractional factorial designs, central composite de­signs, and Taguchi robust designs. Data collection, analysis, and interpretation, including graphical methods, confidence intervals, and hypothesis tests. Multiple linear regression analysis methods. In­dustrial applications.

4163*

Service Systems and Processes. Prereq­uisites: 3103, 3503, 4613. Design and analysis of service systems and processes from the perspective of industrial engi­neering and engineering management. Application of basic industrial engineer­ing principles and tools applied to service systems. Basics of service quality and productivity including metrics, measure­ment, and improvement.

4203*

Facilities and Material Handling System Design. Prerequisites: 3303, 3813, 4013, 4713. Design principles and analytical procedures for determining facility location and location of physical assets within a facility. Introduction to material-handling concepts, technologies and methods. Considerations include production pro­cesses, product volume, material flow, and information flows.

4323*

Manufacturing Systems and Processes. Lab 3. Prerequisites: 3303, 4103. Presen­tation of advanced concepts and processes in manufacturing. Topics include engineer­ing for product life cycles, automated manufacturing, computer-aided design and manufacturing, real-time quality con­trol and associated sensing, introduction to manufacturing research.

4413*

Industrial Organization Management. Prerequisites: 2903, 3703. Issues, concepts, theories and insights of engineering man­agement and applications emphasizing effective performance.

4613*

Production Planning and Control Systems. Prerequisite: 4013. Concepts of planning and control for production and service environments. Design of operation planning and control systems. Techniques used in demand forecasting, operations plan­ning, inventory control, scheduling, and progress control.

4713*

Introduction to Systems Simulation Modeling. Lab 3. Prerequisite: 4013. Simula­tion of discrete-event systems including problem formulation, translation to a computer model, and use of a model for problem solution as well as concepts of random variable selection and generation, model validation and statistical analysis of results.

4723*

Information Systems Design and Develop­ment. Prerequisites: 2903, 3703. Informa­tion systems development methodologies, modeling methods and software tools for the design and development of informa­tion systems. Different phases of system design and implementation. Data model­ing using entity-relationship diagrams and process modeling using data flow diagrams, IDEF0 and IDEF3. Introduction to enterprise resource planning systems and their use within different enterprise functional units.

4733*

Engineering Business Processes. Prereq­uisite: 4723. Business-related process fundamentals including functional units, strategy, and performance measurement within and between manufacturing and/or service-related operations. Modern en­terprise structures such as virtual enter­prises and supply chains. Techniques for the design and engineering of intra and inter-enterprise processes-functional and process modeling, qualitative analysis, quantitative analysis, and automation technologies.

4823*

Industrial Ergonomics. Lab 3. Prerequi­site: 3813. Characteristics of humans, equipment, and work environment ex­amined using a systems approach. Job designs that concurrently emphasize multiple goals of productivity, safety and employee satisfaction. Investigation of psychological, social, safety, reward, training and ergonomic parameters that affect work life of both employee and supervisor.

4913

Senior Design Projects. Lab 6. Prereq­uisite: 3403, 3503, consent of instructor; IEM majors only. Student teams work on professional-level engineering projects selected from a wide range of participating organizations. Projects are equivalent to those normally experienced by beginning professionals and require both oral and written reports. Normally taken during student's last semester of undergradu­ate work.

4931

Industrial Engineering and Management Seminar. Prerequisite: senior standing. Designed to orient seniors to their profes­sional work environment. Topics include placement procedures, resume construc­tion, interviewing skills, professional dress, graduate school, professional societies and registration, personal management of time and money, and job-related expec­tations. Taught by senior faculty; utilizes outside speakers.

4953

Industrial Assessment and Improvement. Prerequisites: senior standing and con­sent of instructor. Plant assessment and improvement-based concepts, strategies, and tools for manufacturing operations. Emphasis is on small to medium-sized manufacturing operations. Issues include energy, water, waste, quality, and pro­ductivity analysis across the organization from a systems perspective. Justification of improvement projects and measure­ment of results.

4990

Selected Topics in Industrial Engineering and Management. 1-6 credits, maximum 6. Prerequisite: consent of instructor. Study of selected contemporary topics in industrial engineering and management including operations research; quality; manufacturing systems; engineering management; enterprise systems and supply chains; facilities, energy, and en­vironmental management.

5000*

Research and Thesis. 1-6 credits, max­imum 6. Prerequisite: approval of major adviser. Research and thesis for master's students.

5010*

Industrial Engineering Projects. 1-6 cred­its, maximum 6. Prerequisites: consent of school head and approval of major adviser. Special graduate projects and independent study in industrial engineering.

5013*

Linear Modeling II. Prerequisite: 4013 or equivalent. Model formulation and model­ing of linear optimization problems using linear programming and network optimi­zation techniques. Product mix, blending, staffing and covering, and multi-period planning models. Formulation of network problems as linear programming models, including maximum flow, minimum cost, and capacitated flow networks.

5020*

Graduate Engineering Practicum. 1-3 credits, 3 maximum. Prerequisites: con­sent of IEM adviser and satisfactory com­pletion of 12 hours of IEM 5000- or 6000-level courses. Professionally supervised experience in real-life problem solving involving projects for which the student assumes a degree of professional respon­sibility. Activities approved in advance by the instructor; must reflect graduate level analysis. May consist of full or part-time engineering experience, on-campus or in industry, or both, either individually or as a responsible group member. Periodic reports both oral and written required as specified by the adviser.

5023*

Optimization Applications. Prerequisite: graduate standing. A survey of various methods of unconstrained and constrained linear and non-linear optimization. Ap­plications of these methodologies using hand-worked examples and available soft­ware packages. Intended for engineering and science students. Same course as CHE 5703, ECEN 5703 and MAE 5703.

5030*

Engineering Practice. 1-9 credits, max­imum 12. Prerequisite: approval of ad­viser. Professionally supervised experience in a real-life problem involving authentic projects for which the student assumes a degree of professional responsibility. Activities must be approved in advance by the student's adviser. May consist of full or part-time engineering experience, on-campus or in industry, or both, either individually or as a responsible group member. Periodic reports both oral and written required as specified by the ad­viser.

5033*

Linear Optimization. Prerequisite: 4013 or equivalent. Algorithms for linear optimiza­tion, including linear programming and network optimization. Simplex algorithm to solve deterministic linear optimization models considering maximization and minimization objectives. Degeneracy, alternative optima and no feasible solu­tions. Revised simplex procedures. Duality theory, economic interpretations, dual simplexing and complementary pivoting. Sensitivity analysis and parametric pro­gramming. Interior point methods. Mini­mum cost, maximum flow, Dijkstra's and other network optimization algorithms.

5043*

Nonlinear Optimization. Prerequisite: 5033 or equivalent. Theoretical and practical aspects of nonlinear optimization, integer optimization, and dynamic programming. Development and application of nonlinear optimization techniques for unconstrained and constrained problems; sequential search, gradient, penalty and barrier, and projection methods. Development and application of integer and mixed integer techniques for unconstrained and constrained problems; branch and bound, and cutting methods.

5103*

Breakthrough Quality. Prerequisites: 4103 and 4113 or equivalents. Struc­tured, systematic approach and advanced statistical and modeling tools to achieve breakthrough improvement across all areas of an enterprise. Rigorous appli­cation, integration, and betterment of strategies and tools for improving or redesigning products and processes such that performance gains are noticeably higher or quicker than those achieved under traditional incremental improve­ment approaches.

5113*

Strategic Quality Leadership. Prerequi­sites: STAT 4013 or equivalent and gradu­ate standing. Quality-related strategies. Critical elements that differentiate high performing organizations from their com­petitors. Delivering value to customers. Quality leadership, strategic planning, customer value, learning organizations, knowledge management, quality systems, and business results.

5123*

Service Quality. Prerequisite: STAT 4013 or equivalent. Theory and application of service quality, including characteristics of services (intangibility, heterogeneity, per­ishability and inseparability of production and consumption), dimensions of service quality, measurement methodologies for service quality and improvement; meth­odologies for service quality. Certification and accreditation processes for service industries.

5133*

Stochastic Processes. Prerequisites: MATH 2233, MATH 3013, STAT 5123. Definition of stochastic processes, prob­ability structure, mean and covariance function, the set of sample functions. Renewal processes, counting processes, Markov chains, birth and death processes, stationary processes and their spectral analyses. Same course as STAT 5133 and MATH 5133.

5143*

Reliability and Maintainability. Prereq­uisite: 3103 or equivalent. Prob­abilistic failure models of components and systems. Detailed study of reliability measures; static and dynamic reli­ability models. Classical and Bayesian reliability testing for point and interval estimation of exponential and Weibull failures. Reliability optimization through allocation and redundancy. Fundamentals of maintainability.

5153*

Process Design and Integration. Prereq­uisite: STAT 4033 or equivalent. Process design, integration, control, and improve­ment within and between enterprises. Analytical and systems approaches to address physical and statistical charac­terization of inputs, transformations, and outputs. Modeling issues, including pro­cess mapping, cause and effect analysis, and impact projection. Purpose, linkages, value, leverage, measurement, creativity and leadership.

5163*

Service Systems and Processes. Prereq­uisites: 3103, 3503, 4613. Design and analysis of service systems and processes from the perspective of industrial engi­neering and engineering management. Application of basic industrial engineer­ing principles and tools applied to service systems. Basics of service quality and productivity including metrics, measure­ment, and improvement.

5203*

Advanced Facility Location and Layout and Material Handling Systems. Prereq­uisites: 3503, 4013, 4203. A continuation and expansion of topics covered in 4203 with an emphasis upon model develop­ment for predicting and evaluating the effectiveness of production and/or service systems. Advanced analytical and com­puter techniques.

5303*

Computer Integrated Manufacturing Sys­tems Design for Higher Volume Products. Prerequisites: 3303, 4613, or equivalents. Principles and procedures related to the design, implementation, documentation, and control of manufacturing systems focusing on higher volume, lower product variety production systems. Introduction to product life cycle concepts and the ap­plication of computer-aided design and computer-aided manufacturing tools to systems characterized by dedicated pro­duction equipment and the need for ab­solute minimization of unit costs. Product and production system design, analysis, and operation for fixed automation. Op­erational philosophies and applicable sys­tems concepts, especially those relating to line design, analysis, efficiency, and unit production cost reduction.

5313*

Computer Integrated Manufacturing Systems Design for Lower Volume Prod­ucts. Prerequisites: 3303, 4613, 4723 or equivalents. Principles and procedures for design, implementation, documentation, and control of manufacturing systems focusing on lower volume, higher product variety production systems. Product life cycle concepts, concurrent engineering, and computer-aided design and manufac­turing practices for systems characterized by frequent product, product mix or prod­uct volume changes. Product and produc­tion system design and analysis for flexible automation. Operational philosophies and applicable systems engineering concepts, especially those providing system flexibil­ity and those regarding the critical role of information availability and exchange in rapidly changing environments.

5350*

Industrial Engineering Problems. 1-6 credits, maximum 6. Prerequisite: approv­al of major adviser. A detailed investiga­tion into one area of industrial engineering with a required written report.

5363*

Management of Cellular Manufacturing Systems. Prerequisites: graduate standing and consent of instructor. Issues related to cellular manufacturing systems, including group technology, production control, cell formation and design, office cells, indus­trial relations, performance measurement, justification and implementation.

5413*

Managing the Engineering and Technical Function. Prerequisite: 4413 or equiv­alent industrial experience. Advanced study of the engineering and technical organization. Engineering and technical functions, management process, roles, and activities. Individual study of current technical management issues of student interest.

5503*

Financial and Advanced Capital In­vestment Analysis. Prerequisites: 3103, 3503, 4013. An understanding of financial concepts and markets, and an advanced treatment of proper methods of capital project selection under risk and uncertainty. Decision making under capital rationing. Financial environment and valuing securities, representing cash flows, selecting investments, avoiding common pitfalls, evaluating timing con­sideration, depreciation and corporate taxation, replacement analysis, and in­corporating risk and uncertainty.

5603*

Project Management. Prerequisite: 4413 or equivalent. A systems approach to planning, organizing, scheduling and con­trolling projects. The behavioral and quan­titative aspects of project management. Importance of working with personnel as well as technology. Project management software utilized.

5613*

Integrated Manufacturing Control Sys­tems. Prerequisite: 4613. Advanced treat­ment of planning and control philosophies and techniques for manufacturing and production systems. Approaches focusing on demand-driven control and achieving competitive advantage through manufac­turing. Material requirements planning, capacity planning, shop floor control, master scheduling, production planning and demand management. Just-in-time and the theory of constraints.

5623*

Project Planning and Control Technolo­gies. Prerequisites: graduate standing and consent of instructor. Project plan­ning and control technologies including time and cost resources required to accomplish projects related to manufac­turing, service, and software development enterprises. Project planning and control software: purpose, methods of use, prog­ress reporting, deviation correction, and implementation issues.

5633*

Advanced Production Control. Prereq­uisites: 4013, 4613. Advanced concepts and quantitative techniques used in pro­duction planning and control, including demand forecasting using regression, time series analysis, and Box-Jenkins models, mathematical programming approaches, to aggregate planning and disaggrega­tion, static and dynamic scheduling of machines and cells, and independent demand inventory management. Deter­ministic and stochastic models and their relationship to Just-In-Time and Zero Inventory practices.

5703*

Discrete System Simulation. Prerequisite: 4713. Discrete-event systems via com­puter simulation models. Model building and the design and analysis of simulation experiments for complex systems. Ap­plication to a variety of problem areas. Use of simulation languages and related software tools.

5713*

Statistical Topics in Simulation Modeling. Prerequisite: 4713 or 5703. Statistical analysis in simulation modeling of dis­crete-event systems. Modeling of input processes, random variate generation and analysis of simulation output. Methods ap­plied to any discrete-event simulation.

5723*

Data, Process and Object Modeling. Pre­requisite: graduate standing or consent of instructor. Logical and physical models in the analysis, design and improvement of enterprise systems. Structured and object-oriented analysis and design techniques. Data modeling using entity-relationship diagrams and IDEF1x. Data normalization techniques. Process modeling using data flow diagrams, IDEF0, IDEF3, and Petri nets. Object modeling using the unified modeling language (UML).

5743*

Information Systems and Technology. Prerequisite: graduate standing or consent of instructor. For current and potential engineering and technology managers. Knowledge of information systems and technology to lead the specification, selec­tion, implementation, and integration of information technology in manufacturing and service organizations. Management issues involved in the use of information technology in organizations.

5753*

Manufacturing Enterprise Modeling. Prerequisite: 5723 or equivalent. Ge­neric Enterprise Reference Architecture (GERAM). Review of data, process, and object modeling techniques. Overview of enterprise modeling tools, methods, and architectures including the CIMOSA method and architecture, IDEF modeling tools, SAP's event-driven process chain (EPC) model, Baan's Dynamic Enterprise Modeling (DEM) approach, and integrated enterprise modeling (IEM) using the ob­ject-oriented (OO) approach. Role and scope of methods and tools in enterprise analysis, design and improvement. Emerg­ing modeling frameworks and techniques for next-generation enterprises.

5763*

Supply Chain Strategy. Prerequisites: 4613 and 5503 or equivalents. Supply chain strategy including the philosophical base of business practice and the analyti­cal base of modeling. Supply chain strat­egy, including key objectives and financial considerations, supply chain dynamics, supply chain performance measurement, supply chain integration, characteristics of different supply chains and supply chain performance modeling.

5773*

Supply Chain Modeling. Prerequisites: 4713 or 5703; 5013 or 5033 or 5763; or equivalents. Supply chain analysis using different approaches to the supply chain modeling, including the Supply Chain Council's SCOR (Supply Chain Operations Reference) model, optimization and simulation. Specialized software is used to develop each modeling approach.

5803*

Human Factors. Lab 3. Prerequisites: graduate standing and consent of instruc­tor. Human factors theories and concepts and their impact on job and organization design. Evaluation and analysis of human performance in the workplace. System redesign for improved human-machine interaction.

5813*

Performance Measurement Systems. Prerequisites: 3813, 4413 or equivalents. Strategies and methods to define, mea­sure, and apply individual, group- and organizational-level performance metrics in a variety of service and production con­texts. Implementation and effective use of metrics. Measurement's role in a manage­ment system, managerial decision styles and preferences, operational definitions of performance, processes for identify­ing and applying metrics, performance measurement tools and techniques, data collection, portrayal of quantitative and qualitative information, and the role of computer technology in measurement system application.

5823*

Performance Management and Improve­ment. Prerequisites: 3813 and 4413 or equivalents. Philosophies and approaches for managing and improving organi­zational-, group-, and individual-level performance. Historical roots, theoretical foundations, implementation and use, and demonstrated efficacy of these approaches in production and service contexts. Plan­ning, leadership, employee involvement and teams, culture, technology, training, and measurement and reward.

5923*

Advanced Energy and Water Management. Prerequisite: 4953. Continuation of ma­terial covered in 4953 with an emphasis on modern management techniques. Co­generation, energy management control systems, private purchases of gas, energy accounting. Significant case study or term paper required.

5943*

Hazardous Material and Waste. Prereq­uisites: 3503 or equivalent, CHEM 1515 or 1414 or equivalent. Management of hazardous materials and waste by the generator to reduce operating costs and protect employees. Emphasis on hazard communication pro­gram, reducing volume and toxicity, and management activities.

5953*

Industrial Assessment and Improvement. Prerequisite: con­sent of instructor. Plant assessment and improvement-based concepts, strategies, and tools for manufacturing operations. Emphasis is on small to medium-sized manufacturing operations. Issues include energy, water, waste, qual­ity, and productivity analysis across the organization from a systems perspective. Justification of improvement projects and measurement of results.

5990*

Special Topics in Industrial Engineering and Management. 1-6 credits, maximum 6. Prerequisite: consent of instructor. Study of selected contemporary topics in industrial engineering and management including operations research; quality and reliability; manufacturing systems; engi­neering management; enterprise systems and supply chains; facilities, energy, and environmental management.

6000*

Research and Thesis. 1-15 credits, max­imum 30. Prerequisites: approval of major adviser and advisory committee. Inde­pendent research for Ph.D. dissertation requirement under direction of a member of the Graduate Faculty.

6110*

Special Problems in Industrial Engi­neering. 1-6 credits, maximum 12. Pre­requisites: consent of school Head and ap­proval of major adviser. Special problems in industrial engineering and management under supervision of a member of the Graduate Faculty.

6123*

Queueing Systems: Theory and Manufac­turing Applications. Prerequisites: 3103, 5133 or consent of instructor. Review of probability, stochastic pro­cesses, and Markov chains. Single-server and multi-server exponential queueing models. Queueing models with Poisson arrivals and general service times. Prod­uct form queueing network models: open and closed network models, mean value analysis algorithms for closed models, and single class and multiclass models. Approximations for general single server queues and nonproduct form networks. Applications of queueing models in the performance analysis of transfer lines, automatic assembly systems, and flexible manufacturing systems.

6990*

Advanced Topics in Industrial Engineering and Management. 1-6 credits, maximum 6. Prerequisite: consent of instructor. Study of advanced topics in industrial engineering and management including operations research, quality and reliabil­ity, manufacturing systems, engineering management, enterprise systems and supply chains, facilities, energy, and en­vironmental management.