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TQM QUALITY:Six Sigma Team, PROCESS IMPROVEMENT

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Production and Operations Management ­MGT613
VU
Lesson 26
TQM QUALITY
In this lecture we will look into detail TQM. We will initially focus on Six Sigma concept. We will try
to understand six sigma concept in terms of managerial and technical perspective. We will also try to
understand the Deming Wheel of Quality and seven common tools of quality. And last but not the least
we will also try to understand the concepts of statistical process control and benchmarking with respect
to quality.
ISO CERTIFICATIONS
Quality Certification ensures that the organization has been able to achieve TQM philosophy. The two
popular certifications which are pursued by the organizations include ISO 14000 and ISO 9000.
1. ISO 14000: Is a set of international standards for assessing a company's environmental
performance.
2. ISO 9000: Is a set of international standards on quality management and quality assurance,
critical to international business.
SIX SIGMA
Statistically speaking a process is said to be in Six Sigma stage if it does not have more than 3 or 4
defects per million. Most of the organizations, measure their quality program in terms of Six Sigma.
Conceptually the Six Sigma Program is designed to reduce defects and requires the use of certain tools
and techniques.
Six Sigma Programs are always directed towards quality improvement, cost cutting and time saving. Six
Sigma Programs are employed in:
Design
Production
Service
Operation management
Inventory management
Delivery
Six Sigma Management concepts find greater appreciation and application in recent times. The Six
Sigma Management characteristics include:
1. Providing strong leadership.
2. Defining performance merits.
3. Selecting projects likely to succeed.
4. Selecting and training appropriate people.
Six Sigma Technical aspects form a part and parcel of managerial strategy and aids in cost cutting and
defect minimization. The Technical aspects of Six Sigma include
1.
Improving process performance
2.
Reducing variation
3.
Utilizing statistical models
4.
Designing a structured improvement strategy
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Production and Operations Management ­MGT613
VU
Six Sigma Team
Six Sigma Teams are formed for implement of Six Sigma in true spirit keeping in mind both managerial
as well as technical aspects.
1.
Top management
2.
Program champions
3.
Master "black belts"
4.
"Black belts"
5.
"Green belts"
Six Sigma Process
Six Sigma Process has various stages often organizations combine one or two stages for better
monitoring and control purposes. Quality Experts normally identify the following 5 stages.
1. Define
2. Measure
3. Analyze
4. Improve
5. Control
Obstacles to Implementing Six Sigma ( TQM) includes the lack of:
1. Company-wide definition of quality.
2. Strategic plan for change.
3. Customer focus.
4. Real employee empowerment.
5. Strong motivation.
6. Time to devote to quality initiatives.
7. Leadership.
8. Poor inter-organizational communication.
9.  View of quality as a "quick fix".
10. Emphasis on short-term financial results.
11. Internal political and "turf" wars.
Criticisms of TQM
Blind pursuit of TQM programs.
Programs may not be linked to strategies.
Quality-related decisions may not be tied to market performance.
Failure to carefully plan a program.
BASIC STEPS IN PROBLEM SOLVING
The problem solving method is more or less the same what we covered in the initial part of our
semester, we always try to follow the same procedure or method which is to analyze the problem and
then generate pragmatic solutions and implement the best solution.
1. Define the problem and establish an improvement goal.
2. Collect data
3. Analyze the problem
4. Generate potential solutions
5. Choose a solution
6. Implement the solution
7.  Monitor the solution to see if it accomplishes the goal.
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Production and Operations Management ­MGT613
VU
PROCESS IMPROVEMENT
A systematic approach to improving a process would always result in process improvement. Following
are the common approaches for improving the process.
1. Process mapping
2. Analyze the process
3. Redesign the process
Process mapping consists mainly of collecting information about the process, identifying
the process for each step and determining the inputs and outputs.
Analyze the process: Ask questions about the process including process flow being logical,
any activities or steps being missing or identification of duplication activities.
Questions about each step which includes is a particular step necessary, does the step adds
value, does it generates waste, could the time to perform the step be reduced, could two or
more steps be combined.
Redesign the process: takes a fresh approach to solve an issue on hand.
THE PDSA CYCLE (SHEWHART CYCLE/DEMING WHEEL)
The concept of the PDCA Cycle was first introduced by Walter Shewhart, the leading statistician, who
also developed statistical process control in the Bell Laboratories in the US during the 1930's. It is often
referred to as `the Shewhart Cycle'. It was taken up and promoted very effectively from the 1950s on by
the famous Quality Management authority, W. Edwards Deming, and is consequently known by many
as `the Deming Wheel'. It is a continuous process and enables the operations manager to check the work
at various stages.
The PDCA Cycle is a checklist of the four stages which you must go through to get from `problem-
faced' to `problem solved'.
The four stages of PDCA/Shewhart Cycle or Deming Wheel are:
1. PLAN
Study & Document the existing process.
Collect data to identify problems.
Survey data and develop a plan for improvement.
Specify measures for evaluating the plan.
2. DO
Implement the plan on a small scale.
Document any changes made during this phase.
Collect data systematically for evaluation.
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Production and Operations Management ­MGT613
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3. CHECK
Evaluate the data collection during this phase.
Check how closely the results match the original goals of the plan phase.
4. ACT
If the results are successful, standardize the new method and communicate the new
method to all people associate with the process.
Implement training for the new method.
If results are unsuccessful, revise the plan and repeat the process or cease this project.
SEVEN BASIC TOOLS
1. Check Sheet
2. Flow Chart
3. Histogram
4. Pareto Chart
5. Scatter Diagram
6. Cause & Effect Diagram
7. Statistical Process Control
Quality Circles
Team approach
List reduction
Balance sheet
Paired comparisons
Benchmarking Process
Identify a critical process that needs improving.
Identify an organization that excels in this process.
Contact that organization.
Analyze the data.
Improve the critical process.
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Table of Contents:
  1. INTRODUCTION TO PRODUCTION AND OPERATIONS MANAGEMENT
  2. INTRODUCTION TO PRODUCTION AND OPERATIONS MANAGEMENT:Decision Making
  3. INTRODUCTION TO PRODUCTION AND OPERATIONS MANAGEMENT:Strategy
  4. INTRODUCTION TO PRODUCTION AND OPERATIONS MANAGEMENT:Service Delivery System
  5. INTRODUCTION TO PRODUCTION AND OPERATIONS MANAGEMENT:Productivity
  6. INTRODUCTION TO PRODUCTION AND OPERATIONS MANAGEMENT:The Decision Process
  7. INTRODUCTION TO PRODUCTION AND OPERATIONS MANAGEMENT:Demand Management
  8. Roadmap to the Lecture:Fundamental Types of Forecasts, Finer Classification of Forecasts
  9. Time Series Forecasts:Techniques for Averaging, Simple Moving Average Solution
  10. The formula for the moving average is:Exponential Smoothing Model, Common Nonlinear Trends
  11. The formula for the moving average is:Major factors in design strategy
  12. The formula for the moving average is:Standardization, Mass Customization
  13. The formula for the moving average is:DESIGN STRATEGIES
  14. The formula for the moving average is:Measuring Reliability, AVAILABILITY
  15. The formula for the moving average is:Learning Objectives, Capacity Planning
  16. The formula for the moving average is:Efficiency and Utilization, Evaluating Alternatives
  17. The formula for the moving average is:Evaluating Alternatives, Financial Analysis
  18. PROCESS SELECTION:Types of Operation, Intermittent Processing
  19. PROCESS SELECTION:Basic Layout Types, Advantages of Product Layout
  20. PROCESS SELECTION:Cellular Layouts, Facilities Layouts, Importance of Layout Decisions
  21. DESIGN OF WORK SYSTEMS:Job Design, Specialization, Methods Analysis
  22. LOCATION PLANNING AND ANALYSIS:MANAGING GLOBAL OPERATIONS, Regional Factors
  23. MANAGEMENT OF QUALITY:Dimensions of Quality, Examples of Service Quality
  24. SERVICE QUALITY:Moments of Truth, Perceived Service Quality, Service Gap Analysis
  25. TOTAL QUALITY MANAGEMENT:Determinants of Quality, Responsibility for Quality
  26. TQM QUALITY:Six Sigma Team, PROCESS IMPROVEMENT
  27. QUALITY CONTROL & QUALITY ASSURANCE:INSPECTION, Control Chart
  28. ACCEPTANCE SAMPLING:CHOOSING A PLAN, CONSUMER’S AND PRODUCER’S RISK
  29. AGGREGATE PLANNING:Demand and Capacity Options
  30. AGGREGATE PLANNING:Aggregate Planning Relationships, Master Scheduling
  31. INVENTORY MANAGEMENT:Objective of Inventory Control, Inventory Counting Systems
  32. INVENTORY MANAGEMENT:ABC Classification System, Cycle Counting
  33. INVENTORY MANAGEMENT:Economic Production Quantity Assumptions
  34. INVENTORY MANAGEMENT:Independent and Dependent Demand
  35. INVENTORY MANAGEMENT:Capacity Planning, Manufacturing Resource Planning
  36. JUST IN TIME PRODUCTION SYSTEMS:Organizational and Operational Strategies
  37. JUST IN TIME PRODUCTION SYSTEMS:Operational Benefits, Kanban Formula
  38. JUST IN TIME PRODUCTION SYSTEMS:Secondary Goals, Tiered Supplier Network
  39. SUPPLY CHAIN MANAGEMENT:Logistics, Distribution Requirements Planning
  40. SUPPLY CHAIN MANAGEMENT:Supply Chain Benefits and Drawbacks
  41. SCHEDULING:High-Volume Systems, Load Chart, Hungarian Method
  42. SEQUENCING:Assumptions to Priority Rules, Scheduling Service Operations
  43. PROJECT MANAGEMENT:Project Life Cycle, Work Breakdown Structure
  44. PROJECT MANAGEMENT:Computing Algorithm, Project Crashing, Risk Management
  45. Waiting Lines:Queuing Analysis, System Characteristics, Priority Model