This presentation is intended to give the reader a brief of Lean Six Sigma. It is tried to impart the knowledge based on personal learnings and literature available over the internet related to Lean Six Sigma Yellow and Green Belt.
This Lean Six Sigma Yellow Belt Training and Certification Course helps you understand Six Sigma principles, tools, and examples, and do a realistic project in a step-by-step manner.
Lean six sigma explained: Beginners trainingQualsys Ltd
A free online introduction to Lean six sigma principles.
Includes lean six sigma tools, philosophy, disciplines, history overview of lean six sigma, applying DMAIC for complex decision making, using Qualsys EQMS software for Lean Six Sigma.
This Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants specialized in Lean Six Sigma. It includes all the Frameworks, Best Practices & Templates required to adopt and implement Lean 6 Sigma within your organization using the world-class DMAIC approach. Build success stories such as Motorola who saved over $16 billion in costs and increased customer satisfaction by 15% using Lean 6 Sigma.
This Toolkit in PowerPoint and Excel includes frameworks, tools, templates, tutorials, real-life examples, best practices, and video training.
This Powerpoint presentation is only a small preview of our Toolkit.
You can download the entire Toolkit in Powerpoint and Excel at www.domontconsulting.com
This Lean Six Sigma Yellow Belt Training and Certification Course helps you understand Six Sigma principles, tools, and examples, and do a realistic project in a step-by-step manner.
Lean six sigma explained: Beginners trainingQualsys Ltd
A free online introduction to Lean six sigma principles.
Includes lean six sigma tools, philosophy, disciplines, history overview of lean six sigma, applying DMAIC for complex decision making, using Qualsys EQMS software for Lean Six Sigma.
This Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants specialized in Lean Six Sigma. It includes all the Frameworks, Best Practices & Templates required to adopt and implement Lean 6 Sigma within your organization using the world-class DMAIC approach. Build success stories such as Motorola who saved over $16 billion in costs and increased customer satisfaction by 15% using Lean 6 Sigma.
This Toolkit in PowerPoint and Excel includes frameworks, tools, templates, tutorials, real-life examples, best practices, and video training.
This Powerpoint presentation is only a small preview of our Toolkit.
You can download the entire Toolkit in Powerpoint and Excel at www.domontconsulting.com
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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1. Lean Six Sigma
Concept and Application
Presenter: Husnain Shahid | Planning & Scheduling Engineer | husnain.shahid@live.com
2. Lean Six Sigma | Concept and Application
There is nothing so useless as doing
efficiently that which should not be done
at all.
- Peter Drucker
Background Concept Tools & Techniques
3. Why and where from the Lean Six Sigma came!
• A compound of two individual manufacturing systems, Lean & Six Sigma.
• In the competitive industrial era of the 20th century, progressive
companies experimented and developed their own smart systems to stay
ahead in terms of revenue thru quality improvement, waste reduction,
savings and expansion.
• Lean comes form Japan, while Six Sigma has its roots in the USA.
Background Concept Tools & Techniques
4. What Lean Six Sigma is!
Background Concept Tools & Techniques
• Lean, a systematic approach to identifying and eliminating waste in
processes, is almost a synonym to Toyota Production System (TPS) as it
matured there.
• However, it is debated that Mr. Henry Ford of Ford Motors firstly introduced
the “Flow” concept – a part of Lean – at his plants in 1913.
• Six Sigma, a set of techniques and tools that improves process capability,
was introduced by an American engineer, Bill Smith, at Motorola in 1986.
• It originated from a statistical quality control for manufacturing plants
initially, however, it is used as an approach in almost every sector from
marketing to banking now.
5. The idea behind use of Lean Six Sigma in processes
Both systems complement each other by:
• Identifying and streamlining the process elements that are worth
working on and getting rid of those elements that are causing waste
(Lean Approach)
• Optimizing the process elements identified after Lean, by reducing
variation and cycle-time thru statistical and data-driven approach (Six
Sigma Approach)
Background Concept Tools & Techniques
7. Lean Projects and the Concept of Waste
Identification of 3 types of wastes:
1. Activities that consume resources without providing additional value
2. Overuse of resources (equipment or manhours)
3. Operational “unevenness” or “variation” which decreases efficiency
Goals:
• Improved productivity and efficiency
• Reduced lead/process times
• Lower inventory and storage costs
• Decreased overall costs
• Greater quality and customer satisfaction
8. • The term, Six Sigma - 6σ , has its origin in statistics as ‘σ’ represents the
Standard Deviation.
• Six Sigma, in literal terms, aims to reduce ‘variation’ down to negligible, as
6σ has acceptable range of 99.9999998% or 3.4 defects per million
opportunities (DPMO)
Six Sigma and Statistics
DPMO =
(Defects/Opportunitie
s) * 1,000,000
10. Lean Six Sigma Terminologies
• Unit: Item produced or created
• Defect: Anything that causes a failure
• Opportunity: Possibility of a quality issue
• DPO: Defects/(Units * Opportunity)
• DPMO: (Defects / Units * Opportunities) * Total 1,000,000
• Yield: 1-DPO (It is the ability of the process to produce defect-free units)
• Variance: Deviation from the desired product / process result
• X: Independent Variables
• Y: Dependent Variables
• CTQ: Critical To Quality
11. How to Take On a Lean Six Sigma Project
There are two basic methodologies to carry out an LSS project:
1. DMADC – suitable for designing a product or process
2. DMAIC – suitable for already existing product or process
As we are dealing more with already existing processes, DMAIC is our thing!
Background Tools & Techniques
Concept
13. DMAIC - Define Phase
Purpose:
• Identify and describe the problems that need to be solved
• Organize the project team [Certified Black Belt & Green Belts personnel]
• Evaluate the weightage of the problem for the organization
Steps:
1. Project selection and scope
2. Establish charter of the project
3. Definition of the Defect [or CTQ]
Tools & Techniques:
1. Charter
2. SIPOC
3. Affinity Diagram
4. Swimlane Map
5. Tree Diagram
16. DMAIC - Define Phase | Affinity Diagram
Voice of Customer [VOC]:
1. No leakage / splash
2. Job completion before planned startup
3. Nothing missed in inspection
4. Everything arranged in area
5. Prearrangements before job start
6. Plant operation till next TA
CTQs:
• Safety
• Timely production
• Reliability
• Safety
• Timely production
• Reliability
Safety
Reliability
Timely Prod.
1
4
2
3
6
4
17. DMAIC - Measure Phase
Purpose:
• To define the quantifiable defect
• To collect baseline information regarding process
• To ensure system for measurements of X’s & Y’s in place
Steps:
1. Determine Project’s Y (i.e. measurable end result)
2. Baseline performance
3. Goal determination based on baseline performance
Tools & Techniques:
1. Tree Diagram
2. Performance Standard
18. DMAIC - Measure Phase | Tree Diagram
Project ‘Y’
Project
‘X’
Y = F(X)
19. Definition:
Requirement(s) or specification(s) imposed by the customer on the Project ‘Y’
Parameters:
• What does the customer want?
• CTQ
• What is a good product/process?
• Specification Limits
• What is a defect?
• Outside Specification Limit
DMAIC - Measure Phase | Performance Standard
LSL USL
21. DMAIC – Analyze Phase
Purpose:
• To determine which process parameters (X), have the most effect (i.e.
reduces the variation) on the critical process results (Y)
Steps:
1. Identifying maximum probable causes of variation
2. Analyzing the probable causes of variation
3. Determining the ‘main cause’ and other contributing factors of ‘variation’
Tools & Techniques:
1. Pareto Chart
2. 5 Whys
3. Ishikawa Diagram
4. Run Chart
26. DMAIC – Improve Phase
Purpose:
• To identify opportunities for improvement, substantiated with information on
the way these improvements help achieve the project goals
Steps:
1. Finding or creating the most optimal solutions
2. Testing the solution (pilot projects, etc.)
3. Implementing and reviewing the solution on main project scale
Tools & Techniques:
1. Value Stream Mapping
2. Impact Effort Matrix
3. Benchmarking
30. DMAIC – Control Phase
Purpose:
• To implement the finalized solutions after ensuring that the solution is
compatible with the process and organization
• To monitor and respond to the undesired dip in improvement
Steps:
1. Development and ensuring the accuracy of process control checks
2. Implementing, proving and controlling the improvement
3. Documentation and project handover
Tools & Techniques:
1. Control Chart
2. Mistake Proofing
3. Monitoring & Response