TEACHING
IME 255. Engineering Economy
Economic comparisons of engineering alternatives considering the time value of money, taxes and depreciation; accounting and its relationship to economic analysis; replacement decisions.
IME 550. Operations Research I
Covers deterministic models and methods in operations research including linear programming, integer programming, and network optimization to aid in the analysis and solution of complex, large-scale decision problems.
IME731, Fundamentals of Optimization
An extensive treatment of the theory and concepts of the linear, nonlinear, constrained and unconstrained optimization techniques. The course objectives are to provide students with sufficient understanding and ability to formulate, solve, and interpret situations involving a system of linear/nonlinear constraints and a linear/nonlinear objective function; survey some of the applications of optimization as well as heuristics, and will present some algorithms and theory for several OR models; to learn the inner workings of algorithms; and to understand the behavior of an algorithm.
IME 783. Supply Chain Management.
Quantitative and qualitative techniques used in the design and management of the supply chain. Includes distribution management, multi-plant coordination, optimal design of the logistics network, adequate safety stock levels and the risk pooling concept, and integrating decision support systems (DDS) in the management of the supply chain.
IME 883. Supply Chain Analytics
Uses operations research and analytics to provide state-of-the-art mathematical models, concepts and solution methods important in the design, control, operation and management of global supply chains by emphasizing a quantitative analytical approach.
IME 960A, Network Optimization
This course will introduce the students to the theory, algorithms and applications of linear programming and network flow problems. The course will be useful to the students in engineering, management, computer science, and mathematics. The objectives of the course are: to provide students with sufficient understanding and ability to formulate, solve, and interpret situations involving a system of linear constraints and an objective function; to present a range of applications of network optimization problems in many scientific domains and industrial settings; to present a range of algorithms available to solve such problems; to give exposure to the diversity of applications of these problems in engineering and management; to help each student develop his or her intuition about algorithm design, development and analysis. Each student will learn how to use state of the art optimization software CPLEX and GAMS.
IEN 960B, Planning and Scheduling in Manufacturing and Services
This course will introduce the area of scheduling from the theoretical and practical point of view. Both classical and new methods for solving planning and scheduling problems are presented. Description of general purpose scheduling procedures gives the basic overview of solving methods. Various models for planning and scheduling in manufacturing and services are described and algorithms for their solution are presented. The models include real-life problems like project planning, scheduling assembly systems, timetabling, workforce scheduling, or telecommunication planning. Each student will learn how to use state of the art optimization software CPLEX and GAMS.
IME 960 B, Logistics and Supply chain
The overall objective of this course is to introduce and explore issues relevant to logistics and supply chain management. This course enables students to understand the characteristic elements of integrated business logistics, the role and application of logistics principles to supply/demand/value chain management, the application of a selection of inventory management / analytical tools in solving logistical problems, aspects of strategic integrated logistics management and benchmarking and global integrated logistics activities.