This section provides a brief overview of the courses offered by the faculty members of the SEAOPT lab in the Industrial and Manufacturing Department at the Pennsylvania State University.
- IE 405 Linear Programming
The course focuses on formulation real-world problems as LP models, the theory and applications of the Simplex method in solving the standard LP problem and the related dual problem, and how to perform sensitivity and parametric analyses. Special techniques to solve the assignment and transportation problems will also be covered. - IE 425 Stochastic Models in Operations Research
This course will introduce students to several important types of mathematical and stochastic (probabilistic) models, and solution techniques, including dynamic programming, stochastic processes, queueing models, inventory control, supply chain management, and revenue management. Such models and techniques can provide valuable insights into several design and planning problems, and thus facilitate their effective analysis. - IE 460 Service Systems Engineering
This course focuses on using operations research methods such as mathematical programming, network analysis and applied probability to solve problems that arise in service systems. The lecture topics will include measuring service quality, methods for evaluating service systems, financial engineering & portfolio optimization, supply chain design & operations, manpower planning & scheduling, and revenue management. - IE 467 Facility Layout and Material Handling
The course provides an understanding of the data requirements for facilities design, including layout and material handling and techniques for designing new facilities and improving existing facilities. Further, CAD, simulation, and economic analysis tools are used evaluating layout and material handling alternatives. - IE 480W Capstone Design Project
The objective of the course is to provide students with “real-world” industry project experience. Students will learn how to work effectively in teams, develop ability to communicate (oral and written), develop project planning and management skills, and solve a real problem of importance to your sponsor. - IE 505 Linear Programming
An accelerated treatment of the main theorems of linear programming and duality structures plus introduction to numerical and computational aspects of solving large-scale problems.Relevant linear programming applications and state-of-the-art optimization software will also be presented. - IE 510 Integer Programming
Study of advanced topics in mathematical programming with emphasis on large-scale systems involving integer variables. Also, the course covers most fundamental integer programming techniques including but not limited to cutting plane methods, branch-and-bound enumeration, Bender’s decomposition, lagrangian relaxation, Langrangian decomposition, meta-heurisitc algorithms. - IE 512 Graph Theory and Networks
This course provides up-to-date coverage of the fundamentals in graph theory, including basic definitions and properties of graphs, a collection of interesting results from mathematics (e.g., connectivity, coloring of graphs, and planar graphs), design and analysis of computer algorithms for solving problems that can be modeled as graphs, and applications to science, engineering, and other fields. - IE 519 Dynamic Programming
The objective of this course is to study the theory and practice of dynamic programming with special emphasis in problem formulation and computational efficiency. The art of formulating the DP models in terms of recurrent relations and boundary conditions will be conveyed using examples. - IE 520 Multi Criteria Optimization
Study of concepts and methods in analysis of systems involving multiple objectives with applications to engineering, economic, and environmental systems. - IE 570 Supply Chain Engineering
Provides state-of-the-art mathematical models, concepts and solution methods important in the design, control, operation and management of global supply chains. It provides an understanding of how companies plan, source, make and deliver their products to create/or maintain a global competitive advantage. It emphasizes the application of operations research models and methods to optimize the various components of an integrated supply chain.
Books
This section provides a brief overview of the books authored by the faculty members of the SEAOPT lab in the Industrial and Manufacturing Department at the Pennsylvania State University.
- Engineering Optimization: Methods and Applications by A. Ravindran, K. M. Ragsdell, G. V. Reklaitis
Engineering optimization helps engineers zero in on the most effective, efficient solutions to problems. This text provides a practical, real-world understanding of engineering optimization. Rather than belaboring underlying proofs and mathematical derivations, it emphasizes optimization methodology, focusing on techniques and stratagems relevant to engineering applications in design, operations, and analysis. - Operations Research Applications edited by A. Ravindran
This book provides a single volume overview of OR applications in practice, making it the first resource a practitioner would reach for when faced with an OR problem or application. Written by leading authorities in the field, the book covers functional and industry specific areas of OR applications. Ideally suited for practitioners in business, industry, and government, the book can also be used as a supplemental text in undergraduate or graduate OR courses. - Operations Research: Principles and Practice by A. Ravindran, Don T. Philips and James J. Solberg
Streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. - Operations Research and Management Science Handbook edited by A. Ravindran
Featuring a mix of international authors, Operations Research and Management Science Handbook combines OR/MS models, methods, and applications into one comprehensive, yet concise volume. The first 14 chapters covers the fundamental OR/MS models and methods. Each chapter gives an overview of a particular OR/MS model, its solution methods and illustrates successful applications while the next 11 chapters discusses the OR/MS applications in specific areas. - Operations Research Methodologies edited by A. Ravindran
A single source guide to operations research (OR) techniques, this book covers emerging OR methodologies in a clear, concise, and unified manner. Building a bridge between theory and practice, it begins with coverage of fundamental models and methods such as linear, nonlinear, integer, and dynamic programming, networks, simulation, queuing, inventory, stochastic processes, and decision analysis. The book then explores emerging techniques including multiple criteria optimization, meta heuristics, robust optimization, and complexity and large scale networks. - Supply Chain Engineering: Models and Applications by A. Ravindran and Donald P. Warsing Jr.
Provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, operation, and management of global supply chains. The text provides an understanding of how companies plan, source, make, and deliver their products to create and/or maintain a global competitive advantage. It emphasizes application of operations research models and methods to optimize the various components of an integrated supply chain.