OPRE 6301 |
Quantitative Introduction to Risk and Uncertainty in Business
(3 semester hours) Introduction to statistical and probabilistic methods and theory applicable to situations faced by managers. Topics include: data presentation and summarization, regression analysis, fundamental probability theory and random variables, introductory decision analysis, estimation, confidence intervals, hypothesis testing and One Way ANOVA. Some sections of this class may require a laptop computer. Prerequisite: MATH 5304 or equivalent (3-0) S |
OPRE 6302 |
Operations Management
(3 semester hours) Operations Management integrates all of the activities and processes that are necessary to provide products and services. This course overviews methods and models that help managers make better operating decisions over time. How these methods will allow firms to operate both manufacturing and service facilities to compete in a global environment will also be discussed. Prerequisite: STAT 5311 or OPRE 6301 (3-0)
S |
OPRE 6330 |
Probability and Stochastic Processes
(3 semester hours) Basic concepts and methods from probability theory that are useful in the modeling of complex systems. Topics include: poisson and renewal processes, discrete and continuous-time Markov chains, semi-Markov processes and various concepts of stochastic ordering. Prerequisite: OPRE 6201 or OPRE 6302 and STAT 5311 or OPRE 6301 or consent of instructor (3-0) Y |
OPRE 6331 |
Stochastic Models in Operations Research
(3 semester hours) Topics include queuing models, stochastic dynamic programming, stochastic scheduling, inventory models and simulation. Prerequisite: OPRE 6330 or consent of instructor (3-0) R |
OPRE 6335 |
Risk and Decision Analysis
(3 semester hours) This course provides an overview of the main concepts and methods of risk assessment, risk management and decision analysis. The methods used in industry, such as probabilistic risk assessment, six sigma and reliability, are discussed. Advanced methods from economics and finance (decision optimization and portfolio analysis) are presented. Prerequisite: OPRE 6301 (3-0) T |
OPRE 6340 |
Flexible Manufacturing Strategies
(3 semester hours) The use of automation in manufacturing is continuously increasing. this course covers the variety of types of flexible automation, including flexible manufacturing systems, integrated circuit fabrication and assembly, and robotics. Examples of international systems are discussed to show the wide variety of system designs and problems. Strategic as well as economic justification issues are covered. (3-0) R |
OPRE 6361 |
Production Planning and Control
(3 semester hours) Analysis of the production system of a manufacturing organization. Classical modeling and decision methods, including simulation methods of stochastic models and exact and heuristic solutions of deterministic models. Material Requirement Planning systems and Flexible Manufacturing systems. Prerequisite: OPRE 6201 or OPRE 6302 or consent of
instructor (3-0) Y |
OPRE 6362 |
Project Management
(3 semester hours) Critical path methods for planning and controlling projects including time/cost tradeoffs, resource utilization and stochastic considerations. Managerial considerations include project costing, organizational design and conflict resolution. Applications include system startup/shutdown, new product introductions, management of research and construction projects. Prerequisite: Consent of instructor (3-0) T |
OPRE 6363 |
Inventory Control
(3 semester hours) Analysis of deterministic and simple stochastic inventory models. Stochastic periodic reorder models with simple deterministic and simulation solutions. Lot size models and their extensions, reorder point determination, price break, Wagner-Whitin, Modigliani-Holn models. Prerequisite: OPRE 6260 or OPRE 6302 or consent of instructor (3-0) R |
OPRE 6364 |
Quality Control
(3 semester hours) Concepts and theory of quality control in manufacturing and service operations. Analysis of product design, process capability studies, statistical process control and acceptance sampling. Prerequisite:
STAT 5311 or OPRE 6301 (3-0) R |
OPRE 6366 |
Supply Chain Management
(3 semester hours) Key issues associated with the design and management of industrial supply chains. The efficient integration of suppliers, factories, warehouses and stores so that products are distributed to customers in the right quantity and at the right time. Prerequisite: OPRE 6201 or OPRE 6302 or consent of instructor (3-0) Y |
OPRE 6369 |
Supply Chain Software
(3 semester hours) The course teaches planning and execution of supply chains with software such as SAP's ERP (R3) and Advanced Planning and Optimization (APO). This software is used in lab exercises that provide students with hands-on experimental learning. The focus is on the supply planning function of supply chain management. Topics include: introduction to ERP and SAP, master and transaction data, MRP, forecasting, supply and demand matching and integration of ERP and APO modules. This course is intended for graduate students with interests in software-based supply chain management. No SAP experience is required. Prerequisite: OPRE 6366 or consent of instructor (3-0) R |
OPRE 6370 |
Logistics and Distribution
(3 semester hours) This course focuses on the study of logistics systems with emphasis on the design and analysis of transportation and supply chain systems, including the components of transportation and supply chain systems, such as suppliers, warehouse, material handling, customers, production, inventory, orders, transportation and information systems; the interactions between these components; and models and techniques for the analysis of logistics systems. Prerequisite: OPRE 6201 or OPRE 6302 or consent of instructor
(3-0) T |
OPRE 6385 |
Scheduling
(3 semester hours) Concepts and theory of scheduling problems with business applications. Combined approaches for simple systems and queuing/simulation methods for large or complex systems. Prerequisite: OPRE 6201 or OPRE 6302 or consent of
instructor (3-0) T |
OPRE 7313 |
Network Flow
(3 semester hours) Network flow models and solution algorithms. Matrix representations and properties, max-flow algorithms, min-cost flow algorithms, circulation and feasibility theorems, sensitivity analysis, integrality property of solutions, shortest route methods. Problems with special structure. CPT-PERT, multicommodity flows, matching, traveling salesperson problem. Prerequisite: OPRE 6310 or consent of instructor (3-0) T |
OPRE 7320 |
Optimal Control Theory and Applications
(3 semester hours) This course is an introduction to Optimal Control Theory and a survey of its selected applications in finance, production, marketing and economics. Relationships to dynamic programming and Kuhn-Tucker conditions are also pointed out. Emphasis is on modeling and not on mathematical rigor. Prerequisites: Two semesters of calculus (MATH 2417 and 2419) including some knowledge of differential equations and linear algebra or consent of instructor
(3-0) Y |
OPRE 7351 (Formerly MAS 8V45) |
Operations Management Seminar
(3 semester hours) Discussion of selected concepts and theories in management. May be repeated for credit. Topics may vary. |
OPRE 7372 |
Advanced Topics in Supply Networks: Advanced Risk Analysis
(3 semester hours) This course will focus on probabilistic, statistical and optimization techniques needed in risk analysis and decision making. the domain is in full development and appropriate for active research. The methods are generic and applicable in finance as well as in operations management. Prerequisites: OPRE 6302, OPRE 6330 and OPRE 6366 or consent of instructor (3-0) R |
