Process Approach in Total Quality ManagementJess Henson
Process Approach in Total Quality Management
- ETX Model
- 6s of Process Improvement
- Customer-Supplier Chain
- Just-In-Time
- Lean Manufacturing
- Kanban System
- Cellular Manufacturing
- Zero Defects
Cost of Quality is a widely spread and widely misunderstood concept.Here is a presentation that will evaporate all your doubts regarding this topic.A very well explained case study of H&S motors.It is a very well structured presentation.
Click on the link to buy - http://imojo.in/1h1t0
This presentation is aimed at helping small and medium businesses in their Quality Management. The module starts with an introduction to the function, Roles and Responsibilities of executives in the function, Key tools and methodologies,ISO9001 clauses, 7QC tools and various templates for MIS analysis.
tqm: the way forward towards world class competitivenessMarc Caluwaerts
Total Quality Management (TQM) also called Business Excellence, refers to a management philosophy and company practices that efficiently mobilize all resources of an organization to achieve its goals.
Important principles of TQM are: elimination of waste, customer orientation, systematic problem solving, stable processes (standard operating procedures, ISO 9000) and continuous improvement (Kaizen).
By applying TQM, organizations - either in manufacturing or in service industries - will become more competitive and obtain improved results.
It's a 1st Unit PPT of Subject Software Testing & Quality from the Book "Software Testing & Quality Assurance" by Kshirsagar Naik and Priyadarshi Tripathy
Process Approach in Total Quality ManagementJess Henson
Process Approach in Total Quality Management
- ETX Model
- 6s of Process Improvement
- Customer-Supplier Chain
- Just-In-Time
- Lean Manufacturing
- Kanban System
- Cellular Manufacturing
- Zero Defects
Cost of Quality is a widely spread and widely misunderstood concept.Here is a presentation that will evaporate all your doubts regarding this topic.A very well explained case study of H&S motors.It is a very well structured presentation.
Click on the link to buy - http://imojo.in/1h1t0
This presentation is aimed at helping small and medium businesses in their Quality Management. The module starts with an introduction to the function, Roles and Responsibilities of executives in the function, Key tools and methodologies,ISO9001 clauses, 7QC tools and various templates for MIS analysis.
tqm: the way forward towards world class competitivenessMarc Caluwaerts
Total Quality Management (TQM) also called Business Excellence, refers to a management philosophy and company practices that efficiently mobilize all resources of an organization to achieve its goals.
Important principles of TQM are: elimination of waste, customer orientation, systematic problem solving, stable processes (standard operating procedures, ISO 9000) and continuous improvement (Kaizen).
By applying TQM, organizations - either in manufacturing or in service industries - will become more competitive and obtain improved results.
It's a 1st Unit PPT of Subject Software Testing & Quality from the Book "Software Testing & Quality Assurance" by Kshirsagar Naik and Priyadarshi Tripathy
Basic statistics for algorithmic tradingQuantInsti
In this presentation we try to understand the core basics of statistics and its application in algorithmic trading.
We start by defining what statistics is. Collecting data is the root of statistics. We need data to analyse and take quantitative decisions.
While analyzing, there are certain parameters for statistics, this branches statistics into two - descriptive statistics & inferential statistics.
This data that we have collected can be classified into uni-variate and bi-variate. It also tries to explain the fundamental difference.
Going Further we also cover topics like regression line, Coefficient of Determination, Homoscedasticity and Heteroscedasticity.
In this way the presentation look at various aspects of statistics which are used for algorithmic trading.
To learn the advanced applications of statistics for HFT & Quantitative Trading connect with us one our website: www.quantinsti.com.
Application of Design of Experiments (DOE) using Dr.Taguchi -Orthogonal Array...Karthikeyan Kannappan
The Taguchi method involves reducing the variation in a process through robust design of experiments. The experimental design proposed by Taguchi involves using orthogonal arrays to organize the parameters affecting the process and the levels at which they should be varies. Instead of having to test all possible combinations like the factorial design, the Taguchi method tests pairs of combinations. The Taguchi arrays can be derived or looked up. Small arrays can be drawn out manually; large arrays can be derived from deterministic algorithms. Generally, arrays can be found online. The arrays are selected by the number of parameters (variables) and the number of levels (states).
In this paper, the specific steps involved in the application of the Taguchi method will be described with example.
Research techniques; samling and ethics eltAbdo90nussair
Advance Research Techniques; How to make samples Abdurrahman Abdalla .. كيف تؤخد العينة في طرق البحث المتقدم .. إعداد عبدالرحمن المهدي نصير جامعة الشرق الادنى - قبرص الشمالية
Quality management ensures that an organization, product or service is consistent. Quality management is focused not only on product and service quality, but also on the means to achieve it. Quality management, therefore, uses quality assurance and control of processes as well as products to achieve more consistent quality.
Project Quality Management includes the processes and activities of the performing organization that determines quality policies, objectives, and responsibilities so that the project will satisfy the needs for which it was undertaken
Project Quality Management includes the processes and activities of the performing organization that determines quality policies, objectives, and responsibilities so that the project will satisfy the needs for which it was undertaken
Quality management is a vital aspect of project management aimed at ensuring that project deliverables meet or exceed stakeholder expectations and requirements. The quality process encompasses a series of activities and techniques designed to plan, assure, and control the quality of project outputs throughout the project lifecycle.
Quality Planning:
Objective: To establish the quality standards, criteria, and processes that will govern the project.
Activities:
Identify quality requirements and expectations of stakeholders.
Define quality metrics and performance criteria.
Develop a Quality Management Plan outlining quality assurance and quality control activities.
Determine processes for continuous improvement and corrective action.
Quality Assurance (QA):
Objective: To ensure that project processes and activities adhere to the defined quality standards.
Activities:
Conduct audits and reviews to verify compliance with quality standards and procedures.
Implement quality assurance techniques such as statistical process control and quality management tools.
Provide training and support to project team members to improve quality awareness and skills.
Document QA findings and recommendations for process improvement.
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
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Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
Modern Database Management 12th Global Edition by Hoffer solution manual.docxssuserf63bd7
https://qidiantiku.com/solution-manual-for-modern-database-management-12th-global-edition-by-hoffer.shtml
name:Solution manual for Modern Database Management 12th Global Edition by Hoffer
Edition:12th Global Edition
author:by Hoffer
ISBN:ISBN 10: 0133544613 / ISBN 13: 9780133544619
type:solution manual
format:word/zip
All chapter include
Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The 12th Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.
2. . Project Quality Management
Knowledge
Area
Process
Initiating Planning Executing Monitoring & Contol Closing
Quality Quality Planning
Perform Quality -
Assurance
Perform Quality -
Control
Enter phase/
Start project
Exit phase/
End project
Initiating
Processes
Closing
Processes
Planning
Processes
Executing
Processes
Monitoring &
Controlling Processes
3. Project Quality Management
• Quality is degree to which the project fulfills requirements
• Quality Management includes creating and following policies and
procedures to ensure that a project meet the defined needs (from the
customer’s perspective).
• Completing project with no deviations from the project requirements.
4. Quality Concepts
• Quality vs. Grade
– Quality: the degree to which a set of inherent characteristics fulfill
requirements
– Quality level that fails to meet quality requirements is always a
PROBLEM
– Grade: a category assigned to product or service having the same
functional use but different technical characteristics
– Low grade may not be a problem
5. DEMING, W. Edward
Continuous improvement
PDCA (Plan–Do–Check–
Act)
Top down support ( top
management support )
CROSBY, Philip
Performance standard is
“Zero defect “
Cost of quality is measured
by cost of non-
conformance
Conformance to
requirements
Quality comes from
Prevention
JURAN, J. Moses
Fitness for use
Technical / Statistical
focus
Juran’s Trilogy :
Quality improvement,
Quality planning and
Quality Control
Quality Management Gurus
6. Important points
• Customer satisfaction
• Conformance to requirement
• Fitness for use: product/service produced must satisfy real needs
• Prevention over inspection
• Cost of preventing mistakes < cost of correcting
• Quality is planned not inspected in
• Continuous improvement (Kaizen)
• Based on PDCA cycle
• Management Responsibility
• Success requires the participation of all members of the project team,
•but remains the responsibility of management to provide the resources needed to
succeed.
7. Difference Between Quality Processes
Quality Planning Quality Assurance Quality Control
Planning Implementation Control
Determine which quality
standards are relevant
and how to measure
them
Determine if the quality
measurement is relevant
Perform the
measurement and
compare to the plan
8. Plan Quality
• The process of identifying requirement and/or standards
for the project and product and documenting how the
project will demonstrate compliance.
Inputs
1. Scope baseline
2. Stakeholder register
3. Cost performance
baseline
4. Schedule baseline
5. Risk register
6. Enterprise
environmental factors
7. Organizational process
assets
Tools &
Techniques
1. Cost benefit analysis
2. Cost of Quality (CoQ)
3. Control charts
4. Benchmarking
5. Design of experiments
6. Statistical sampling
7. Flowcharting
8. Proprietary quality
management
methodologies
9. Additional quality
planning tools
Outputs
1. Quality management
plan
2. Quality metrics
3. Quality checklists
4. Process improvement
plan
5. Project document
updates
9. Cost-Benefit Analysis
-The primary benefits of
meeting quality requirements
can include less rework, higher
productivity, and increased
stakeholder satisfaction.
- A business case for each
quality activity compares the
cost of the quality step to the
expected benefit.
11. Control charts
Upper control limit
Lower control limit
Out of control
Assignable/special cause
Specification limit: is
point determines by
customer, not calculated
based on control chart
Normal and expected variation
Usually 3 or 6 sigma
Rule of seven (non random data points)
Out of control
Assignable/special cause
Normal distribution curve
12. • Benchmarking
comparing actual or planned
project practices to those of
comparable projects to identify
best practices, generate ideas for
improvement, and provide a basis
for measuring performance.
13. Design of Experiments
-provide the optimal conditions for the
product or process, highlight the factors
that influence the results
-reveal the presence of interactions and
synergy among the factors.
17. • Additional Quality Planning Tools
• Brainstorming
• • Affinity diagrams.
• • Force field analysis: which are
diagrams of the forces for and
against change.
• • Nominal group techniques
18. Output
• Quality Management Plan
–Contains:
• Project management method
• Role and responsibility in managing quality
• Deliverable measurement
• Standard for monitoring & control purpose
• Process review
• Major check points
• Inspection & acceptance criteria
19. QUALITY MANAGEMENT PLAN
Project Title: Date Prepared:
Quality Roles and Responsibilities:
Role: Responsibilities:
1. Describe the role needed.
2.
3.
4.
1. Describe the responsibilities associated with the role.
2.
3.
4.
Quality Assurance Approach:
Describe the processes, procedures, methods, tools, and techniques that will be used in performing quality assurance activities.
Quality Control Approach:
Describe the processes, procedures, methods, tools, and techniques that will be used in performing quality control activities.
Quality Improvement Approach:
Describe the processes, procedures, methods, tools, and techniques that will be used in performing quality improvement activities.
20. QUALITY MANAGEMENT PLAN
Project Title: Date Prepared:
Quality Roles and Responsibilities:
Role: Responsibilities:
1.Initiate action to prevent the occurrence of non-conforming
work
2.Identify, evaluate, and document quality problems
3.Recommend or initiate quality improvement solutions
4.Stop the work when non-conforming work is identified, until
the deficiency is corrected
1. all personnel who manage, perform,
and ensure the quality of the work
Quality Assurance Approach:
Develop check list to ensure all activities is performed in right method.
Develop, implement, and manage the team in QA program ,
Provide training for the staff to ensure appropriate training quality procedures are in place, through pre-activity
meetings and daily on site reviews
Quality Control Approach:
Provide quality control sampling and testing to develop and refine work processes to meet quality requirements and
provide conformance to the contract, plans, and specifications.
b. Submit documentation to the PM on a daily basis as performed and needed
Quality Improvement Approach:
Observation the sequence of activities can make improving in sequencing
Comparing the actual performed work to plan making continuous improvement
Analyzing reasons of non- conforming work
21. Quality metrics
An operational that describes
how quality control process
will measure it.
What are things that important
to measure and decide what
measurement is acceptable
22. QUALITY METRICS
Project Title: Date Prepared:
ID Item Metric Measurement Method
WBS or other
identifier.
Item to be measured. Measurement. Method of measuring.
23. QUALITY METRICS
Project Title:
Constructing private hospital
Date Prepared:
ID Item Metric Measurement Method
1.1.2 Purchase of
medical devices
on-time performance Comparing between planned
time and actual time
1.1.1.2 Test of medical
devices
Test coverage The variance between
number of planned test and
number of actual tests
1.3.1 Electrical
installation
staying within the
approved budget by ±
10%
The variance between budget
and actual cost
24. • Quality checklists
– A list of items to inspect,
step to be performed and
note if any defects found
– Checklists range from
simple to complex
based on project
requirements and
practices.
25. Process Improvement Plan
•Process boundaries.
Describes the purpose of processes, their start and end, their inputs/outputs, the
data required, the owner, and the stakeholders.
• Process configuration.
A graphic depiction of processes, with interfaces identified, used to facilitate
analysis.
• Process metrics.
Along with control limits, allows analysis of process efficiency.
• Targets for improved performance.
Guides the process improvement activities
26. – Six Sigma uses the
DMAIC steps as a road
map for improving
processes.
– There are only 5 steps.
– They are logical and
they can be used to
improve any processes
in any industry.
DMAIC – The Road Map for
Improving Results
Control
Im
prove
A
nalyze
Measure
Define
Process Under Study
Y = f(X1, X2, X3, ...Xn)
28. 1- A planning phase for an engineering component generated
80 engineering drawings. The QA team randomly selected 8
drawings for inspection. This exercise can BEST be described
as example of:
A-Inspection
B-Statistical Sampling
C-Flowcharting
D-Control Charting
29. 2- Quality is:
1- Meeting and exceeding the customer’s
expectations
2- Adding extras to make the customer happy
3- Conformance to requirements and fitness of use
4- Conformance to management’s requirements
30. 3- which of the following explain why quality is
planned not inspected in ?
A-it reduces quality and is less expensive
B- it improves quality and is more expensive
C- it reduces quality and is more expensive
D- it improves quality and is less expensive
31. 4-What are the cost types in modern quality management?
A- Costs of good quality – costs of bad quality
B- Planning costs – assurance costs – control costs
C-Planning costs – doing costs – checking costs – acting costs
D- Prevention costs – appraisal costs – failure costs
32. 5- all of the following are examples of the cost of
nonconformance except
A- rework
B- quality training
C-scrap
D-warranty costs
33. 6- a control chart shows seven data points in a row
on one side of the mean what should be done?
A- perform a design of experiments
B- Adjust the chart to reflect the new mean
C- find an assignable cause
D- nothing .this is the rule of seven and can be
ignored