ISE Department at Lehigh University

Graduate Courses

IE 305. Simulation (3)

IE 307. Advanced Systems Analysis and Design (3) spring

Study of advanced techniques and their application in the analysis and design of information systems. Emphasis is placed on tools and techniques used for structured analysis and design, and on prototyping of systems. Prerequisite: IE 224 or equivalent.

IE 309. Introduction to Information Systems (3) fall

Study of information systems analysis and design with emphasis on management issues. Interfaces between information systems and databases and data communications are examined. Effects of information systems on organizational relationships are considered. Example information system will be designed and implemented. Prerequisite: IE 224 or equivalent.

IE 310. Database Analysis and Design (3) spring

Conceptual analysis of data is considered through data structures and models. Logical design of databases is studied in the context of the relational model of data. Prerequisite: IE 224 or equivalent.

IE 319. Facilities Planning and Material Handling (3)

Facilities planning including plant layout design and facility location. Material handling analysis including transport systems, storage systems, utilizing equipment, and automatic identification and data capture. Prerequisite: IE 131 or consent of department chair.

IE 321. Experimental Industrial Engineering (1-3)

Experimental projects in selected fields of industrial engineering, approved by the instructor. A written report is required. May be repeated for academic credit.

IE 324. Industrial Automation and Robotics (3)

Introduction to robotics technology and applications. Robot anatomy, controls, sensors, programming, work cell design, part handling, welding, and assembly. Laboratory exercises. Prerequisites: MECH 2, MATH 205.

IE 328. Engineering Statistics (3)

Random variables, probability functions, expected values, statistical inference, hypothesis testing, regression and correlation, analysis of variance, introduction to design of experiments, and fundamentals of quality control. Prerequisite: MATH 23 or equivalent. This course cannot be taken by IE undergraduates.

IE 332. Product Quality (3)

Introduction to engineering methods for monitoring, control, and improvement of quality. Statistical models of quality measurements, statistical process control, acceptance sampling, and quality management principles. Some laboratory exercises. Prerequisite: IE 121.

IE 334. Organizational Planning and Control (3) fall

Design of organization and procedures for managing functions of industrial engineering. Analysis and design of resources planning and control, including introduction of change in man-machine systems; manpower management and wage administration. Prerequisite: Junior Standing.

IE 340. Production Engineering (3) fall

Develop plans of manufacturing for discrete parts. Product design analysis and engineering materials utilization. Economic analysis of process design alternatives. Introduction to mechanization, automation, and flexible manufacturing systems. Term project. Laboratory. Prerequisite: IE 215.

IE 341. Data Communication Systems Analysis and Design (3)

An introduction to the hardware as well as performance evaluation of data communication networks. Emphasis on data transmission, encoding, data link control, communication networking techniques, and queuing/simulation analysis of network performance. Prerequisite: IE 224 and IE 220 or equivalent.

IE 342. Computer Integrated Manufacturing (3) spring

Analysis and design of manufacturing systems. Principal topics: computer-based techniques, decision support systems, applications of information technology to enterprise systems, value stream mapping. Introduction to: high performance work systems, manufacturing management measurement techniques, optimization strategies for discrete parts manufacturing, lean and agile manufacturing methods. Term project. Prerequisite: IE 224, IE 215 or equivalent.

IE 344. (MAT 344/ME 344) Metal Machining Analysis (3) spring

Intensive study of metal cutting emphasizing forces, energy, temperature, tool materials, tool life, and surface integrity. Abrasive processes. Laboratory and project work. Prerequisite: IE 215 or ME 240 or Mat 206.

IE 345. Manufacturing Information Systems (3)

A study of contemporary Information Technology solutions used to support the manufacturing function from product concept and design through production planning, manufacture, and delivery. Emphasis will be placed on information exchange protocol standards used to improve the overall integration of manufacturing systems. Prerequisites: IE275.

IE 347. Electronics Manufacturing (3)

Manufacturing processes required in electronics assembly, through-hole printed circuit cards, surface-mount printed circuit boards, and thick film hybrids. Testing and inspection procedures. Includes laboratory. Prerequisite: senior standing in engineering.

IE 358. (ECO 358). Game Theory (3)

A mathematical analysis of how people interact in strategic situations. Applications include strategic pricing, negotiations, voting, contracts and economic incentives, and environmental issues. Prerequisites: ECO 105 or 115 and MATH 21, 31 or 51.

IE 362. (MSE 362). Logistics and Supply Chain Management (3)

Modeling and analysis of supply chain design, operations, and management. Analytical framework for logistics and supply chains, demand and supply planning, inventory control and warehouse management, transportation, logistics network design, supply chain coordination, and financial factors. Students complete case studies and a comprehensive final project. Prerequisite: IE 220 and IE 251 or equivalents, or instructor approval.

IE 372. Systems Engineering Design (3)

Analysis, design, and implementation of solutions to problems in manufacturing and service sectors using information technology. Emphasis on problem identification and the evaluation of proposed solutions and implementations. Term Project. Prerequisites: IE 220, 275.

IE 385. ISELP Honors Project Seminar (1)

Application of problem solving to real enterprise systems projects. Emphasis on leadership, teamwork, design, and communication skills. Requires a written honors project report. Department permission required. Senior standing. May be repeated for credit.

IE 404. Simulation (3)

Applications of discrete and continuous simulation techniques in modeling industrial systems. Simulation using a high-level simulation language. Design of simulation experiments. This course is a version of IE 305 for graduate students, with research projects and advanced assignments. Prerequisites: IE 121 or IE 328 and IE 220 or equivalent.

IE 405. Special Topics in Industrial Engineering (3)

An intensive study of some field of industrial engineering.

IE 406. Introduction to Mathematical Programming (3)

Techniques for the solution and analysis of deterministic linear models used in operations research. Linear programming, network flow, and integer linear programming. Emphasis on modeling techniques, algebraic modeling languages and commercial solvers.

IE 408. Management of Information Systems (3)

Philosophies and methods for systematic planning, development, and implementation of management information systems. Concepts of information resource management, and strategic and long-range planning of information systems and services. Prerequisite: IE 224 or ACCT 311 or equivalent.

IE 409. Time Series Analysis (3)

Theory and applications of an approach to process modeling, analysis, prediction, and control based on an ordered sequence of observed data. Single or multiple time series are used to obtain scalar or vector difference/differential equations describing a variety of physical and economic systems. Prerequisite: IE 121 or equivalent.

IE 410. Design of Experiments (3)

Experimental procedures for sorting out important causal variables, finding optimum conditions, continuously improving processes, and trouble shooting. Applications to laboratory, pilot plant and factory. Prerequisite: Some statistical background and experimentation in prospect, IE 121 or equivalent.

IE 411. Networks and Graphs (3)

This course examines the theory and applications of networks and graphs. Content of the course stresses on the modeling, analysis and computational issues of network and graph algorithms. Complexity theory, trees and arborescences, path algorithms, network flows, matching and assignment, primal-dual algorithms, Eulerian and Hamiltonian walks and various applications of network models. Prerequisite: IE 406 or equivalent.

IE 412. Quantitative Models of Supply Chain Management (3)

Analytical models for logistics and supply chain coordination. Modeling, analysis, and computational issues of production, transportation, and other planning and decision models. Logistics network configuration, risk pooling, stochastic decision-making, information propagation, supply chain contracting, and electronic commerce implication. Prerequisite: IE 316 and IE 339 or equivalent.

IE 413. Advanced Engineering Economy and Replacement Analysis (3)

Measuring economic worth, economic optimization under constraints, analysis of economic risk and uncertainty. Emphasis on analytical methods to evaluate the economic desirability of replacement and retirement options in capital investment. Prerequisites: IE 220 and IE 226 or equivalents.

IE 414. Heuristic Methods in Combinatorial Optimization (3)

Heuristic methods for solving combinatorial and discrete optimization problems such as routing, scheduling, partitioning and layout. Introduction to NP-completeness theory, exact and inexact methods, performance analysis, fast and greedy heuristics, Lagrangean heuristics, and various search techniques including simulated annealing, genetic algorithms, Tabu search and iterative constructive heuristics.

IE 416. Dynamic Programming (3)

The principle of optimality and recursive solution structure; multidimensional problems; reduction of dimensionality and approximation; stochastic control; non-serial systems; relationship to calculus of variation; applications. Prerequisite: IE 316 or equivalent.

IE 417. Nonlinear Programming (3)

Advanced topics in mathematical programming with emphasis on modeling and analysis of non-linear optimization problems. Convex analysis, unconstrained and constrained optimization, duality theory, Lagrangian relaxation, and methods for solving non-linear programs, including descent methods, Newton methods, conjugate gradient methods, and penalty and barrier methods. Prerequisite: IE 406 or equivalent.

IE 418. Integer Programming (3)

Advanced topics in mathematical programming with emphasis on modeling and analysis of optimization problems with integer variables. Polyhedral theory, theory of valid inequalities, duality and relaxation, computational complexity, and methods for solving integer programs, such as branch and bound. Prerequisite: IE 406 or equivalent.

IE 419. Sequencing and Scheduling (3)

Systematic analysis of models for the planning and scheduling of systems that produce goods or services. Resource planning techniques, static and dynamic scheduling methods and algorithms. Prerequisites: IE 316 or equivalent.

IE 422. Measurement and Inspection Systems (3)

Study of measurement instruments and sensors for manufactured products. Metrology standards, performance characteristics of measuring devices, calibration, error analysis, and gaging. Mechanical, optical, and other techniques. On-line monitoring and control for product quality, and sensor integration and fusion. Prerequisite: IE 328 or equivalent.

IE 424. Robotic Systems and Applications (3)

Detailed analysis for robotic systems in manufacturing and service industries. Task planning and decomposition, motion trajectory analysis, conveyor tracking, error detection and recovery, end effector design, and systems integration. Prerequisite: IE 324 or consent of instructor.

IE 425. Inventory Management and Production Planning (3)

Advanced study of heuristic, algorithmic, and analytical methods for inventory, production planning, and distribution models and systems. Forecasting, scheduling of production facilities, single stage and multi-echelon inventory control, and facility location- production allocation models. Prerequisites: IE 316 and IE 339, or equivalent.

IE 426. Optimization Models and Applications (3)

Modeling and analysis of operations research problems using techniques form mathematical programming. Linear programming, integer programming, multi-criteria optimization, stochastic programming and nonlinear programming using an algebraic modeling language. This course is a version of IE 316 for graduate students, with research projects and advanced assignments. Closed to students who have taken IE 316. Prerequisite: IE 220 or equivalent background.

IE 429. Stochastic Models and Applications (3)

Introduction to stochastic process modeling and analysis techniques and applications. Generalization of the Poisson process; renewal theory, queueing, and reliability; Brownian motion and stationary processes. This course is a version of IE 39 for graduate students, with research projects and advanced assignments. Closed to students who have taken IE 339. Prerequisite: IE 220 or equivalent background.

IE 430. Management Science Project (3)

Analysis of a management problem and design of its solution incorporating management science techniques. An individual written report is required. Recommended to be taken in the last semester of the program.

IE 431. Operations Research Seminar (3)

Extensive study of selected topics in techniques and models of operations research.

IE 433. Manufacturing Engineering Seminar (3)

Extensive study of selected topics in the research and development of manufacturing engineering techniques.

IE 437. Advanced Database Analysis and Design (3)

Intensive treatment of design and application of modern database technology, including information modeling and logical design of databases. Emphasis on applications to the manufacturing environment. Prerequisite: IE 310 or equivalent.

IE 438. Advanced Data Communication Systems Analysis and Design (3)

Study of technological development, operational algorithms and performance analysis in data networks. Emphasis on recent developments in communication technologies, modeling and simulation of large-scale networks, routing models and algorithms, and flow control issues. Prerequisite: IE 341 and IE 316, or equivalents.

IE 439. Queueing Systems (3)

Queueing theory and analysis of manufacturing, distribution, telecommunications, and other systems subject to congestion. Design and analysis of queueing networks; approximation methods such as mean value analysis, uniformization, fluid and diffusion interpretations; numerical solution approaches. Prerequisite: IE 339 or instructor permission.

IE 441. Financial Engineering Projects (3)

Analysis, design and implementation of solutions to problems in financial services using information technology, mathematical modeling, and other financial engineering techniques. Emphasis on real-world problem solving, problem definition, implementation and solution evaluation.

IE 442. Manufacturing Management (3)

Study of factors affecting the development of a manufacturing management philosophy; decision-making process in areas of organization, planning, and control of manufacturing. The principles and techniques of TQM, Deming and others; metrics, costs, benchmarking, quality circles, and continuous improvement. Influence of the social, technical, and economic environment upon manufacturing management decisions. Case studies.

IE 443. (MSE 427) Automation and Production Systems (3)

Principles and analysis of manual and automated production systems for discrete parts and products. Cellular manufacturing, flexible manufacturing systems, transfer lines, manual and automated assembly systems, and quality control systems. Prerequisite: IE 215 or equivalent.

IE 445. Assembly Processes and Systems (3)

Joining processes including welding, brazing, soldering, and adhesive bonding. Mechanical assembly methods. Manual assembly lines and line balancing. Automated assembly. Product design considerations including Design for Assembly. Prerequisite: IE 215 or equivalent.

IE 446. Discrete Event Dynamic Systems (3)

Modeling of Discrete Event Dynamic systems (DEDS) particularly as applied to industrial systems. Modeling procedures with focus on Petri Nets. Hierarchical Petri Net modeling, performance analysis, behavioral and structural properties, and various synthesis and analytical techniques. Relationships to state space concepts, simulation, and finite state automata are introduced. Emphasis on use of such nets for the control of industrial systems. Prerequisites: Permission of instructor.

IE 447. Stochastic Programming and Financial Analysis (3)

Finding optimal decisions in problems such as portfolio management and financial planning. Emphasis on implementation and tools for solving difficult stochastic programming instances and application of stochastic programming to financial portfolio analysis. Requires basic knowledge of linear programming, elementary analysis, and probability.

IE 448. Industrial Control Systems for Manufacturing (3)

Techniques used to control manufacturing systems: numerical control, digital control, programmable logic controllers, and sensors.

IE 449. Advanced Computer-Aided Manufacturing (3)

Numerical control in manufacturing; CAD/CAM systems; computer monitoring and control of manufacturing operations; adaptive control of manufacturing operations. Manufacturing resource planning, computer-aided process planning, and shop floor control. Prerequisite: IE 342 or consent of the department chair.

IE 451. Intelligent Manufacturing Systems (3)

Informational and control structures, architectures, and analysis techniques for autonomous and semi-autonomous manufacturing systems. System architectures and techniques, knowledge based systems in production, and techniques based on fuzzy systems and neural networks. Applications in manufacturing systems control, process planning, and design and management problems in newly developing manufacturing and production systems. Prerequisite: Permission of instructor.

IE 458 (ECO 463). Topics in Game Theory (3)

A mathematical analysis of how people interact in strategic situations. Topics include normal-form and extensive-form representations of games, various types of equilibrium requirements, the existence and characterization of equilibria, and mechanism design. The analysis is applied to microeconomic problems including industrial organization, international trade, and finance. Prerequisites: Two semesters of calculus, ECO 412 and ECO 414, or permission of the instructor.

IE 460. Engineering Project (1-3)

Intensive study of an area of industrial engineering with emphasis upon design and application. A written report is required.

IE 461. Readings (1-3)

Intensive study of some area of industrial engineering that is not covered in general courses.

IE 490. Thesis (1-6)

IE 499. Dissertation (1-15)