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TQM philosophy and principles. Tools for process management and improvement. Process control. (Statistical Process Control, Process Capability); product/process design (Quality Function Deployment, Taguchi Methods) and approaches to the implementation of quality.
This course is about how to manage quality with an emphasis on statistical quality control. It will cover a number of topics such as: overview of quality management, problem solving tools, statistical process control, design of experiments and six sigma quality. Many of the topics covered in this course are part of standard certified “Six Sigma Black Belt” course curriculum.Total workload for this course, in terms of class preparation, review, assessment, readings and examination preparation is about 150 hours (approximately 12 hours per week).This course is essential for a Management Science and Operations Management major and is a useful elective for MS/OR and MGMT students. The course assumes that you have basic knowledge of statistics (MSCI/MGMT280 and / or 100 level Stats course), quality management (MSCI/MGMT270) and statistical process control (MSCI/MGMT271).
To gain knowledge of the history and evolution of the management of quality.To understand the principles and methods of problem solving tools, Statistical Process Control, design of experiments and six sigma quality.To be able to apply these statistical tools for product and service quality control and improvement.To be able to use MINITAB for data analysis.
(1) MSCI220 or MSCI270 or MGMT270; (2) MSCI221 or MSCI271 or MGMT271
MSCI323, MSCI373
MSCI373
Venkat Pulakanam
Marks for assignments are not absolute. An indication will be given of the distribution of marks for each piece of work and its relationship with letter grades. Final grades will be calculated after the raw marks have been standardised.Your course grade will be determined based on the weighted average marks (standardised) obtained in all course assessments. In addition you need to pass the final exam in order for you to pass the course.
• There is no textbook for this course.• You need to buy “Course Reader” (These readings are required).• Some additional lecture notes will be provided in the class.Reference Books1. Statistical Quality Design and Control: Contemporary Concepts and Methods by Devor, Chang &. Sutherland, Prentice Hall, 1992 or 2007.2. Grant and Leavenworth (1988), Statistical Quality Control, McGraw-Hill, USA.3. Juran and Gryna (1993), Quality Planning and Analysis: From Product Development through Use, McGraw Hill Inc., USA.4. Harry, M.J. and Schroeder, R.R.(2000), Six Sigma, The Breakthrough Management Strategy Revolutionizing the World’s Top Corporations, Doubleday, USA.JournalsQuality Progress, ASQC JournalTotal Quality Management
LEARN
Departmental Academic Policies The Department assumes that you have read this document.You should also read the General Course and Examination Regulations Dishonest PracticeThe University of Canterbury considers cheating and plagiarism to be serious acts of dishonesty. All assessed work must be your own individual work unless specifically stated otherwise in the assessment guidelines. Material quoted from any other source must be clearly acknowledged. You must not copy the work of another person (student or published work) in any assessment including examinations, tests and assignments. Any person, who is found to have copied someone else's work, or to have allowed their work to be copied, will receive a fail grade for that piece of assessment and may face disciplinary action which may lead to a fine, community service or exclusion from the university.IMPORTANT: Where there are concerns regarding the authorship of written course work, a student can be required to provide a formal, oral explanation of the content of their work.Coversheets - Group and Individual
Domestic fee $655.00
International fee $2,888.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
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