Course Description
Syllabus
Total Quality Management, quality management Philosophies, Leadership, Employee involvement and customer Value Evaluation, Kaizen, Problem Solving and Quality Management, problem solving Fundamentals, Problem Identification, Definition, Diagnosis, Alternative Generation and Evaluation, Elementary concepts related to 7 Old and 7 New Tools for quality Assurance, Basic Statistical Concepts, Control of Accuracy and Precision, Process Capability, SPC, Acceptance Sampling, MIL-STD-105D. Quality Management Systems, ISO 9000, Quality Engineering, Quality Function Development, Introduction to Design of Experiments, Process Optimization and Robust Product Design, Steps to Six Sigma, Management of Service Quality, Management of Software Quality, Course will include projects and industry case studies.
Modules
Module_00: Basic Probability Statistics, Mutually Exclusive/Exhaustive Events, Bayes Theorem, Random variable (Discrete/Continuous), Expected Value, Variance, Correlation, Distributions, Sampling concepts, Sampling Distributions, Z, t, Chi-Square and F distribution, Statistical Inference (Point, Interval and Hypothesis Testing), linear Regression
Module_01: Concept of TQM, Philosophy of TQM, Quality Characteristics, Dimension of Quality, History of Quality Control, Deming, Juran, Feigenbaum, Basic of six sigma, DMAIC concepts, Quality Improvement Policies,
Module_02: Quality Assurance tools, Pareto Charts, Cause Effect Diagrams, Defect Concentration Diagrams, Affinity Diagrams, Relations Diagram, Tree Diagram, Matrix Diagrams
Module_03: Quality Function Deployment (QFD), House of Quality, Concepts of Attributes, Correlation Matrix, Customer and Design Attributes,
Module_04: Sampling plans, Single sampling, Double Sampling, Producer's Risk, Customer's Risk, AQL, LTPD, OC Curves, Calculations for OC Curves, Designing Sampling Plans
Module_05: R tutorial for TQM
Module_06: Variable Control Charts, Statistical Process Control, Concepts of Variable and Attribute, Charts for Variable, Charts for Mean/Range/Standard Deviation with examples, Basics of UCL/LCL/USL/LSL, Revising Control limits, Interpreting Charts, Moving Control Charts
Module_07: Attribute Control Charts, p Chart with example, np Chart with example, c chart with example, u chart with example, Average run length, Variable sample size charts
Module_08: Process Capability Analysis, Probability plots, Process Capability Ratio, Process Capability Analysis using Control Charts, Capability, Tolerance, Accuracy, Precision
Module_09: ISO Concepts
Module_10: Cumulative Sum (CUSUM) Charts with example, Monitoring Process Mean, Estimating K and H with example, CUSUM chart for monitoring Process Variability with example
Module_11: Exponential Weighted Moving Average (EWMA) Control Chart with example, Calculation of steady state value for control limits, Combination of EWMA and Shewhart Charts, Monitoring Variability, Process Level Prediction using EWMA Chart, Moving Average Control Chart with example
Module_12: TQM Implementation, Bench marking, Bench marking Approach and Process, TQM Implementation steps
Course Content
Texts
01) Introduction of Statistical Quality Control: Douglas C. Montgomery, John Wiley & Sons, 2009, ISBN: 978-0-470-16992-6
02) Total Quality Management: Dale H. Besterfield , Hemant Urdhwareshe , Mary Besterfield-Sacre , Carol Besterfield-Michna , Rashmi Urdhwareshe , Glen H. Besterfield, Pearson, ISBN: 978-81-7758-412-7
03) Design of Experiment: Douglas C. Montgomery, John Wiley & Sons, ISBN: 0-471-31649-0
Course Audience
Audience
MTech (1st and 2ndyear), BTech/BS (4th year and above)
Evaluation
01) Mid-Term Examination: 25%
02) Quizzes: 20%
03) Final Semester Examination: 35%
04) Project/Assignments: 20%
Note: Attendance: 80 to 100 (00 deduction); 60 to 79 (04 deduction); 40 to 59 (08 deduction); <39 (10 deduction)
Outcomes of this Course
Knowledge: At the end of this course the student will be able to understand the ideas and philosophy of TQM. He/She will be able to using different Control Charts, and understand how the concepts of these charts are used to monitor a process, considering quality characteristics like mean, variability, proportion, average number, non-conformity, etc. and how these charts are used to understand to study, monitor and analyze an existing or a new process. The student will also learn about different advanced techniques in TQM like CUSUM and EWMA charts. They will also be well aware of ideas of DMAIC, ISO, House of Quality, etc.
Abilities: The student can utilize the knowledge gained in the course to formulate and analyze different practical as well as theoretical problems encountered in TQM. They can also understand how different Control Charts are utilized for studying both variable as well as attribute characteristics encountered in any production as well as services. Apart from that the student can identify how to use the interesting ideas of moving average, exponential moving average, etc., to study process capability.
Special Emphasis: Will be paid in solving a variety of problems related to OC Curves, Control Charts (mean, range, p, np, c, CUSUM, EWMA) etc.