2023-2024
MET
This course is focused on quality assurance systems, management philosophies, methodology, function and impact of quality systems in manufacturing operations. Development and application of statistical process control tools.
- Prerequisites:
- STAT 154
Basics of Lean Manufacturing in industry, with emphasis on application of concepts. Students will learn the principles of Lean Manufacturing and how they can benefit a business.
This course covers the following topics: manufacturing systems integration techniques, Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM), Computer-Aided Process Planning (CAPP), Direct Numerical Control (DNC), Flexible Machining Systems (FMS), Automated Storage and Retrieval Systems (ASRS), Automated Guided Vehicles (AGV) and Robotics.
- Prerequisites:
- MET 347, PHYS 212
This course covers replacement analysis, depreciation, income taxes, break even & risk analysis and capital budgeting during the life cycle of an engineering project. Advanced concepts in project management such as resource planning and project closure are also taught.
- Prerequisites:
- MET 425
An examination of manufacturing design and research. Students refine their design proposal and begin their senior design projects. This course also prepares the student for MET 489W, Senior Design Project II, where the design proposal, design project, and final report are completed. This course should be taken in the fall semester of the senior year.
- Prerequisites:
- ENG 271W, MET 275, MET 425, 10 AET or MET 300/400 level credits
Completion of the capstone design project; a continuation of MET 488W.
- Prerequisites:
- MET 488W, Permission Required
Selected manufacturing topics.
Manufacturing work experience in an area pertinent to the student's objective. Consent of internship coordinator required prior to the beginning of employment and registration. Typically done between the junior and senior year.
- Prerequisites:
- 50% of major
.
- Prerequisites:
- Permission Required
Planning and control of plant resources in globally competitive manufacturing environments. Approaches to manufacturing problems related to design integration, production scheduling, staffing, plant layout, material flow, and inventory issues are examined.
Investigation of work place design and environmental stress from heat, noise, vibration, repetitive motion, and illumination in personal machine systems and human-machine interaction.
Techniques of developing safety practices in an industrial and construction environment. Topics include OSHA, current legislation, cost analysis, minimization, depreciation and economic worth, personal protection, employee selection, psychological aspects, product safety, hazard materials, and catastrophe control.
A study of the optimal relationship between value and function of products and the cost and availability of resources. Topics include valuation, appraisal and capital budgeting, cost minimization, depreciation and economics worth, rates and rate bases, original and reproduction costs, and engineering economics.
Fundamentals of logistics: control of materials, material handling, WIP, finished goods, costs of logistics. Theory and step-by-step procedures are used to analyze logistic systems, packaging and transportation, including global logistics.
This course is focused on quality assurance systems, management philosophies, methodology, function and impact of quality systems in manufacturing operations. Development and application of statistical process control tools.
Basics of Lean Manufacturing in industry, with emphasis on application of concepts. Students will learn the principles of Lean Manufacturing and how they can benefit a business.
This course covers the following topics: Manufacturing system integration techniques, Computer-Aided Design/ Computer-Aided Manufacturing (CAD/CAM), Computer-Aided Process Planning (CAPP), Direct Numerical Control (DNC), Flexible Machining Systems (FMS), Automated storage and Retrieval Systems (ASRS), Automated Guided Vehicles (AGV) and Robotics.
This course covers replacement analysis, depreciation, income taxes, break even & risk analysis and capital budgeting during the life cycle of an engineering project. Advanced concepts in project management such as resource planning and project closure are also taught.
Selected manufacturing topics. May be repeated for credit with different topics, with advisor's approval.
Research topics and methods related to manufacturing. The course will look at the current state of manufacturing and explore the research methods and experimental design procedures that are used in the area of manufacturing. Students will evaluate past research and will also design a research project in manufacturing.
Advanced Project Management presents in-depth topics in the management process of prioritizing, planning, staffing, managing, and directing projects. Both people skills and advanced management tools will be addressed, along with advanced project evaluation techniques.
Basics of Six Sigma from an industrial perspective. Emphasis is on practical application of concepts. Upon completion of course, the student will be familiar on a working level with Six Sigma tools leading to Green Belt certification level.
This course covers the statistical properties, acceptance sampling, as well as the design, implementation, and operation, of various statistical quality control schemes including those based on Shewhart, and cumulative sum control charts. Methods appropriate for conducting a capability study will also be covered. The role of quality in process improvement will be examined, as well as statistical models useful in quality control.
An advanced modeling course which emphasizes the study of Computer-Aided Engineering (CAE), related software and tools to support modeling, analysis, and simulation of mechanisms. Emphasis is on body, joint definition, static, kinematics, and dynamics analysis, and results visualization.
This course emphasizes the following topics: Factorial designs, robust parameter design, Taguchi methods in Technology and product development, and other design and analysis topics.
