ENG M - Engineering Management

The application of the fundamentals of economics to engineering alternatives in planning, developing and managing industrial projects. Note: Credit cannot be obtained for more than one of ENGG 310, 401, ENG M 310 or 401.

The application of the fundamentals of economics to engineering alternatives in planning, developing and managing industrial projects. Note: Credit cannot be obtained for more than one of ENGG 310, 401, ENG M 310 or 401.

The application of the fundamentals of economics to engineering alternatives in planning, developing and managing industrial projects. Note: Credit cannot be obtained for more than one of ENGG 310, 401, ENG M 310 or 401.

The application of the fundamentals of engineering economics, financial analysis and market assessment to engineering alternatives in the planning, development and ongoing management of industrial enterprises. The course covers the use of engineering, economic, financial and market assessment information in investment and business operation decisions in technology oriented companies. Note: Credit cannot be obtained for more than one of ENGG 310, ENGG 401, ENG M 310, or ENG M 401.

The application of the fundamentals of engineering economics, financial analysis and market assessment to engineering alternatives in the planning, development and ongoing management of industrial enterprises. The course covers the use of engineering, economic, financial and market assessment information in investment and business operation decisions in technology oriented companies. Note: Credit cannot be obtained for more than one of ENGG 310, ENGG 401, ENG M 310, or ENG M 401.

The application of the fundamentals of engineering economics, financial analysis and market assessment to engineering alternatives in the planning, development and ongoing management of industrial enterprises. The course covers the use of engineering, economic, financial and market assessment information in investment and business operation decisions in technology oriented companies. Note: Credit cannot be obtained for more than one of ENGG 310, ENGG 401, ENG M 310, or ENG M 401.

Introduction to the conceptual and practical considerations in identifying and developing new products. The theory and practice of project management applied to the creation of new business activities and ventures will be discussed. Topics include project management, innovation and entrepreneurship, business planning, marketing, and mobilizing human and financial resources. These will be applied in the development of a business plan for a business concept. The course is intended to provide engineering and business students with an awareness of specific planning, budgeting and scheduling techniques that can be used to implement and monitor new business activities. This course is open to Business and Science students with consent of Instructor. Note: Credit cannot be obtained for both ENGG 402 and ENG M 402.

The role of engineering and management in achieving the objectives of technology oriented enterprises, and the impact of technology on society. The course covers alternate forms of organization, key differences between management of a one time project and an ongoing operation, the impact of work on society, individual variations in personality and management style and the implications for managing, and specific issues in human resource and quality management. Note: Credit cannot be obtained for both ENGG 405 and ENG M 405.

Manufacturing process modeling and system design; computer aided process planning; scheduling of manufacturing activities; computer aided manufacturing; integration for different machining processes; plastic parts and mold design; sheet metal parts and die design; robotics in manufacturing; welding process and control; Design considerations; Shop floor control; and engineering collaboration. Prerequisite: MEC E 265.

Manufacturing process modeling and system design; computer aided process planning; scheduling of manufacturing activities; computer aided manufacturing; integration for different machining processes; plastic parts and mold design; sheet metal parts and die design; robotics in manufacturing; welding process and control; Design considerations; Shop floor control; and engineering collaboration. Prerequisite: MEC E 265.

Manufacturing process modeling and system design; computer aided process planning; scheduling of manufacturing activities; computer aided manufacturing; integration for different machining processes; plastic parts and mold design; sheet metal parts and die design; robotics in manufacturing; welding process and control; Design considerations; Shop floor control; and engineering collaboration. Prerequisite: MEC E 265.

Production and operations management, analysis, and design of work, forecasting, inventory management including MRP, JIT, and Kanban, maintenance management, facility layout, operations scheduling, and project planning and management. Credit cannot be obtained in both ENG M 501 and MEC E 513. Prerequisites: one of ENGG 310, 401 or ENG M 310, 401 and STAT 235 or equivalent.

Concepts and value of energy management and conservation. Methodologies for energy management in energy intensive systems in various industries. Energy auditing methods and implementation. Energy accounting and economic analysis. Energy audits and maintenance. Exposure to software for energy auditing.

Quality engineering and management definitions, concepts and principles. Essential quality management theories and models. ISO 9000 principles, models and applications. ISO 10000 augmentative standards. Seven quality engineering and management tools. Quality function deployment. Failure analysis. Statistical quality.

Concepts of reliability, failure rate, maintainability, and availability. Properties of various statistical distributions and their applications in reliability engineering. Failure data analysis techniques including probability plotting. Load and strength interference in mechanical component design. System reliability models and system reliability evaluation methods. Optimal system design considering reliability issues. Prerequisite: STAT 235 or equivalent.

Maintenance management of industrial assets. Preventative maintenance decisions. Spare parts provisioning. Predictive maintenance decisions. Reliability centered maintenance. Total productive maintenance. Case studies. Prerequisite: STAT 235 or equivalent.

Introduction to project management tools, techniques, templates, and methodologies. This course examines the eight knowledge areas of the Project Management Institute (PMI) which provide an integrated approach to managing engineering projects. Prerequisites: One of ENGG 310, 401 or ENG M 310, 401.

Introduction to project management tools, techniques, templates, and methodologies. This course examines the eight knowledge areas of the Project Management Institute (PMI) which provide an integrated approach to managing engineering projects. Prerequisites: One of ENGG 310, 401 or ENG M 310, 401.

Introduction to project management tools, techniques, templates, and methodologies. This course examines the eight knowledge areas of the Project Management Institute (PMI) which provide an integrated approach to managing engineering projects. Prerequisites: One of ENGG 310, 401 or ENG M 310, 401.

An introduction to optimization methods in solving engineering management problems. Both modeling techniques and algorithms will be covered. Topics include linear programming, formulation and modeling techniques, the simplex method, sensitivity analysis, duality, transportation and network problems, algorithmic and heuristic methods, integer programming, and/or non-linear programming. Credit cannot be obtained in both ENG M 540 and ENG M 640.

Fundamental methods for the analysis of human systems in industrial engineering. Human-machine interaction. Engineering of the workplace and the work environment. Motion and time study. Standards in ergonomics and work design.

Computer-aided engineering software modeling and implementation methodology; Feature-based product modeling development; Feature-based manufacturing process modeling; Engineering data integration; Production system engineering; System integration in production engineering; Advanced product and process engineering informatics with networked collaboration.

Overview of lean manufacturing concepts, tools and techniques. Identifying waste. Value stream mapping, push vs. pull systems data analysis tools, cell layout design, operator balance charts, 5S, set up time reduction, work in process minimization, standardized work, visual management, and optimized floor space. Introduction to six sigma tools.

Design, development and use of international assurance and management standards in manufacturing, service and energy industries. Creation of standardized systems for quality, environmental, safety, security, responsibility, risk and other aspects of the organization. Modeling of integration frameworks and methodologies. Auditing, maintenance and improvement of integrated management systems.

Current theory and practice of quality management systems. Modeling of systems and supporting technologies for performance management and improvement. ISO 9000 and 10000 standards, business excellence models and performance measurement. Application of quality assurance schemes in manufacturing, service and not-profit organizations. Design, implementation and improvement of assurance systems using auditing and self-assessment models. Auditing standards and self-assessment guidelines.

Advanced topics in engineering economics, including operating and capital budgets, financial statement use by engineering managers, replacement analysis, cost of capital and leasing, risk-based financial decision-making for technology investment using real options valuation.

An in-depth study of the risk management framework as adopted by Project Management Institute. Responsibilities and risks encountered while managing any project. Identification and quantification of risk in design and execution of projects, strategies to handle risk, and issues related to decision making in the face of uncertainty.

Engineering Applications of Integer linear programming, solution techniques, solver applications, modeling and (re)formulation, valid inequalities and redundant constraints, Lagrangian relaxation, decomposition techniques, column generation, meta-heuristic approaches. Prerequisites: ENG M 540 or equivalent.

The applications of optimization techniques in solving engineering problems. Linear programming, non-linear programming, dynamic programming, integer programming, stochastic programming, genetic algorithms, heuristic methods, queuing theory, and new optimization methods. Credit may not be obtained in more than one of ENG M 640, MEC E 612, and ENG M 646. Prerequisite: ENG M 540 or consent of Instructor.

This course reviews current thinking on personality theory (using Carver and Scheier's model of seven theoretical perspectives on personality), and looks at the implications for managing that arise from each theoretical perspective. In particular, managing in technical settings with a diverse range of skill types and levels frequently calls for diversity in management approaches that reflect the inherent diversity in the people being managed. The Myers Briggs Type Indicator, widely used in business settings, is reviewed in greater detail. Management styles and the nature of management thinking and decision making are discussed.

This course reviews current thinking on personality theory (using Carver and Scheier's model of seven theoretical perspectives on personality), and looks at the implications for managing that arise from each theoretical perspective. In particular, managing in technical settings with a diverse range of skill types and levels frequently calls for diversity in management approaches that reflect the inherent diversity in the people being managed. The Myers Briggs Type Indicator, widely used in business settings, is reviewed in greater detail. Management styles and the nature of management thinking and decision making are discussed.

This course reviews current thinking on personality theory (using Carver and Scheier's model of seven theoretical perspectives on personality), and looks at the implications for managing that arise from each theoretical perspective. In particular, managing in technical settings with a diverse range of skill types and levels frequently calls for diversity in management approaches that reflect the inherent diversity in the people being managed. The Myers Briggs Type Indicator, widely used in business settings, is reviewed in greater detail. Management styles and the nature of management thinking and decision making are discussed.

Intellectual property in the context of technology transfer and commercialization. Key topics include intellectual property, product development, valuation of technology, capturing value, and securing the deal. Considerations in identifying and developing new products, exploitation of intellectual property as a corporate strategy, the impact of intellectual property in new company formation and growth.

Students will learn technical communication skills, including an efficient writing process, effective use of language and grammar, research and referencing sources, creating clear figures and graphics, formatting various types of written documents relevant to the engineering profession, effective team communication, and visual/oral presentations.