|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
4.00 Credits
An overview and analysis of technological systems for handling goods and information quickly and cost effectively to maximize customer satisfaction. Class 4, Credit 4
-
2.00 Credits
Focuses on applications of traditional marketing concepts and techniques to the service sector (e.g., banking, health care, transportation and services within organizations) to optimize quality, customer satisfaction and sales/ revenues/profi ts. Includes a brief review of the increased role of service in the economy. Class 2, Credit 2
-
4.00 Credits
Reliability I introduces the students to the concepts embodied in maintenance strategies mainly reactive maintenance, preventive maintenance, predictive maintenance and proactive maintenance and in reliability based maintenance. These strategies will be defi ned and their goals set forth. Reliability concepts and tools will be introduced that will form the foundation of a reliabilitybased maintenance program. Class 4, Credit 4
-
4.00 Credits
An introduction to problem solving methodologies and tools used in Reliability Based Maintenance. Topics include: root cause analysis, fault tree analysis, FMEA, FRACAS, mechanical system failure processes, diagnostic systems/devices, RCM, and multi-vari analysis. (0692-211 or permission of department chair and 0684-370). Class 4, Credit 4
-
4.00 Credits
This course examines the underlying probability distributions and statistical tests that are used in reliability based/centered maintenance. Included are: the exponential distribution, curve fi tting techniques, the normal distribution, the lognormal distribution, extreme value statistics, the Weibull distribution, and reliability analysis of repairable systems. Graphical techniques will be emphasized along with data analysis using the statistical package MINITAB and reliability software programs provided by the instructor. (0609-221 or equivalent and 0684-370, 375) Class 4, Credit 4
-
4.00 Credits
Continuation of Reliability II focusing on theoretical and practical applications of reliability, availability, and maintainability. Topics include parts selection and control, reliability analysis, reliability test and evaluation, equipment production and usage, spare parts forecasting, reliability/maintainability tradeoffs and improvement techniques. (0692-212 or equivalent; 0684-370, 0684-375, 0684-376) Class 4, Credit 4.
-
4.00 Credits
Continuation of theoretical and practical applications in Reliability III focusing on reliability test and evaluation, equipment production and usage, spare parts forecasting, reliability-maintainability trade offs and improvements. Reliability software is used extensively to illustrate analytical procedures and for assignments and term paper. Class 4, Credit 4
-
4.00 Credits
Six Sigma techniques, introduced to industry in the late 1980's, use datadriven decisions to reduce defects, drive down costs and increase effi ciency. This methodology focuses on minimizing process variation, thereby enabling the process to operate more smoothly and effi ciently. Lean is a process that focuses on eliminating waste and streamlining operations. Lean Six Sigma, a more recent technique, combines the two processes. Data-driven decisions are still present, but the emphasis on speed for the process improvement is key. Combining these two methods into Lean Six Sigma provides a powerful tool to make improvements in any process or business. In this course, students learn the history, context, and tools of Lean/Six Sigma through lectures and case studies, and begin to apply the process in a course project. (0684-310, Introduction to Quality; 0684-340, Quality Data Analysis) Offered online only. Credit 4
-
4.00 Credits
An introductory course in Statistical Quality Control techniques used in determining operating quality levels and recognizing degrees of process control and capability in a service industry or a manufacturing process. Topics include tools for diagnosing sources of variation; construction and interpretation of charts for variables and attributes; tolerances, specifi cations and process capability. Product quality (i.e. high yield) and product reliability also are addressed. (High school algebra or equivalent) Class 4, Credit 4
-
4.00 Credits
Successful companies integrate quality techniques and concepts throughout their operations. This course addresses issues in developing and managing an effective organization, including defi ning a quality philosophy, delighting the customer, the role of strategic planning, enhancing employee involvement, and sustaining quality initiatives. Additional topics include understanding quality standards and systems, benchmarking, and vendor and supplier assurance. (0684-310, Introduction to Quality; 0684-340, Quality Data Analysis) Offered online only. Credit 4
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|