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Benchmarking is a way of discovering what is the best performance being achieved in a particular company, by a competitor, by an entirely different industry.
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Benchmarking is not a good idea to identify gaps in an organization’s processes:
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Is a process for obtaining a measure, represent the "how":
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Is how we called the measure obtained after the process, simply stated represent the "what":
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Focuses on best practices.
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Benchmarking
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Competitor research
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Considered corporate spying by some.
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Benchmarking
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Competitor research
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Adapting based on customer needs after examination of the best.
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Benchmarking
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Competitor research
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Although there are many forms of benchmarking, they can be classified into three categories:
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Internal
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Classical
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Competitive
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Taguchi
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Strategic
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Shainin
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Used in the same company to improve some areas in their own company.
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Internal benchmarking
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Competitive benchmarking
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Strategic benchmarking
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Used when a company wants to evaluate its position within its industry.
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Internal benchmarking
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Competitive benchmarking
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Strategic benchmarking
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Used when identifying and analyzing a company needs going outside of its own industry.
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Internal benchmarking
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Competitive benchmarking
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Strategic benchmarking
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The recommended benchmarking stages are:
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Planning
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Measure
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Development
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Data collection
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Results
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Analysis
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Action
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Summary
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Monitoring
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Which is the correct order of the benchmarking stages?
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Planning
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Introduction
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Methodology
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Data collection
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Analysis
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Problem
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Solutions
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Action
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Monitoring
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Summary
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The main objective of this stage, is plan the research answering three questions...
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Introduction
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Planning
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R&D
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Which are the questions to plan and research the benchmarking?
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When will I start the process?
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What do I want to measure?
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Who am I going to measure?
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What is the name of the competitor?
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How are we going to do it?
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The success or failure will depend on it:
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Planning
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Action
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Data collection
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This stage is to identify opportunities for improvement:
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Analysis
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Research
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Data collection
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This stage is to adapt reference aspects to our company, always implementing improvements:
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Introduction
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Monitoring
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Analysis
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Action
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This will help resume work on subsequent projects:
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Analysis
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Monitoring
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Action
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The meaning of KPI is: key project indicator.
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The three main DoE approaches are:
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American approach
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EU approach
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Classical approach
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Shainin approach
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OFAT approach
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Taguchi approach
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Thomas Edison applied OFAT strategy to invent the light bulb.
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The DoE was first applied in mining:
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The three approaches of DoE are superior to the OFAT strategy:
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William Edwards Denimg was considered as father of quality:
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Who used ti said... "Any technique can be useful, if you know and understand its limitations" ?
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How many stages were included in the development of classical approach?
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Characterized by scientific thought, factorial designs and the ANOVA:
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1st stage
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2nd stage
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3rd stage
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4th stage
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5th stage
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Fractional factorial designs were introduced...
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Characterized by the development of the RSM, extended to the chemical industry and industrial processes and R & D areas.
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1st stage
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2nd stage
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3rd stage
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4th stage
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5th stage
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Begins at 80s, appreciating many ideas of the new approaches, the variability
reduction began to be an area of much research.
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1st stage
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2nd stage
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3rd stage
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4th stage
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5th stage
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Begins at 90s, Six Sigma and the statistical software, helped DoE to be applied in all types of industry.
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1st stage
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2nd stage
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3rd stage
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4th stage
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5th stage
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The first Taguchi's publication dates from [blank_start]1950s[blank_end]. This approach to DoE was not introduced in the USA or Europe until the early [blank_start]1980s[blank_end].
Taguchi promoted statistical techniques from an [blank_start]engineering perspective[blank_end], in contrast to the [blank_start]statistical perspective[blank_end] of the DoE of the moment.
Taguchi developed a methodology for solving problems, which he called: [blank_start]Quality Engineering[blank_end].
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1950s
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1980s
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engineering perspective
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statistical perspective
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Quality Engineering
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Systematic Engineering
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Taguchi basic concepts:
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Pareto principle
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A quality product is one that causes a minimum loss to society throughout its life.
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He breaks down his “quality engineering” strategy into system, parameter and tolerance designs.
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He strongly opposes the use of fractional factorial designs
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The objective of experimenting is to achieve a target value minimizing variability.
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What is this image representing?
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Polynomial function
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Logarithmic function
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Exponential function
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Loss function
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Who said it?...
"Quality is something that can not be characterized only by an average of a desired characteristic, the variability of that characteristic must also be considered."
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The American approach (legally protected) to solve problems:
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Taguchi method
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Shainin system
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Classical approach
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Shainin system is based on:
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Pareto principle
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A quality product is one that causes a minimum loss to society throughout its life
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He breaks down his “quality engineering” strategy into three phases:
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He strongly opposes the use of fractional factorial designs
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Talk to the components, they are smarter than the engineers
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This factor is the main cause of the variation of the response.
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Pale Pink X is the second significant cause of the response variation.
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Shainin recommends the use of fractional factorial design:
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Taguchi and Shainin were the biggest critics of the classical approach.
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Taguchi's methods weren't criticized, there were always great comments about his strategy.
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Shainin most criticized tools are:
Variable SearchTM
Pre-ControlTM
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Variable SearchTM is very similar to factorial design:
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Shainin presented Pre-ControlTM as an alternative to SPC:
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Any of the three approaches is much more efficient than OFAT strategy.