#Pareto analysis

[imrovementcompany]

Analyze Phase of DMAIC in Lean Six Sigma

Introduction In continuous improvement, the Lean Six Sigma methodology is a proven approach for reducing waste, increasing efficiency, and driving business success. At the heart of Lean Six Sigma lies the DMAIC framework, a structured process for solving complex problems. DMAIC stands for Define, Measure, Analyze, Improve, and Control. In this blog post, we will focus on the Analyze phase, where…

[writ-large]

an inconvenient curmudgeon

WHEN YOU’RE SICK OF JORDAN PETERSON BUT HE KEEPS TALKING IN YOUR HEAD

-- Yes, IQ is a bell curve; almost half of everybody really are more or less headblind. (IQ Distribution Studies)

-- Yes, men run in packs, yes, they stupidly follow heedless braggarts. (Male Hierarchies)

-- Yes, 20% succeed while 80% mill around in mediocrity. (The Pareto Principle)

-- Yes, Disagreeability is a genetically-linked trait that won’t just go away. This is a euphemism for pig-headedness, arrogance, blind aggression and vindictiveness. (Five-Factor Analysis)

WE’RE AT THE TOP OF THE FOOD CHAIN BECAUSE WE’RE THE TOP PREDATOR. WE WISE UP OURSELVES OR WE BLUNDER ON IN DENIAL.

[sgrji]

What are 7 QC Tools? 7 QC Tools: The Foundation of Quality Management

In the realm of quality management, the 7 Quality Control (QC) tools, also known as the 7 Basic Tools of Quality, serve as the bedrock for analyzing and improving processes. These powerful tools, developed by Dr. Kaoru Ishikawa, are indispensable for identifying issues, making informed decisions, and enhancing overall quality. This article delves into the details of the 7 QC tools, their…

[nenelonomh]

time management in the ib

good time management is crucial in the ibdp (international baccalaureate diploma programme) due to its demanding workload and diverse requirements. effective time management helps you focus better on your tasks, leading to higher quality work and more efficient use of your time.

by organizing your schedule and prioritizing tasks, you can reduce feelings of being overwhelmed and manage stress more effectively.

good time management also allows you to allocate time for relaxation and social activities, which is essential for maintaining mental and physical health. the ibdp involves numerous assignments, projects, and exams, so managing your time well ensures you meet all deadlines without last-minute rushes.

balancing extra-curricular activities

balancing your ibdp workload with extracurricular activities can be challenging, but it’s definitely achievable with some strategic planning. here are a few tips to help you manage both effectively:

create a schedule: use a planner or digital calendar to map out your week. allocate specific time slots for studying, completing assignments, and participating in extracurricular activities. this helps ensure you dedicate enough time to each area without neglecting any.

prioritize tasks: identify your most important and urgent tasks each day. focus on completing these first before moving on to less critical activities. this way, you can stay on top of your ibdp requirements while still enjoying your extracurriculars.

set realistic goals: break down larger tasks into smaller, manageable steps. set achievable goals for each study session or activity, which can help you stay motivated and avoid feeling overwhelmed.

use downtime wisely: make use of short breaks between classes or activities to review notes, read, or complete small tasks. this means no doom scrolling. at all. these pockets of time can add up and help you stay productive.

communicate with teachers and mentors: let your teachers and extracurricular mentors know about your commitments. they can offer support, provide extensions if needed, and help you manage your workload more effectively.

take care of yourself: ensure you get enough sleep, eat well, and make time for relaxation. maintaining your physical and mental health is crucial for sustaining high performance in both academics and extracurriculars.

be flexible: sometimes, unexpected events or deadlines may arise. be prepared to adjust your schedule as needed and stay adaptable to changes.

practicing time-management techniques

there are several effective time management techniques that can help you stay organized and make the most of your time. here are a few popular ones:

pomodoro technique: work in focused intervals (usually 25 minutes) followed by a short break. this helps maintain concentration and prevent burnout.

time blocking: allocate specific blocks of time for different tasks or activities throughout your day. this ensures you dedicate time to important tasks without interruptions.

eisenhower matrix: prioritize tasks based on their urgency and importance. this helps you focus on what truly matters and avoid getting bogged down by less critical tasks.

pareto analysis (80/20 rule): focus on the 20% of tasks that will produce 80% of the results. or, the most urgent and impactful of the eishenhower matrix. this helps you prioritize high-impact activities.

experiment with these techniques to find which ones work best for you.

still struggling with time management?

if you’re still struggling with time management, don’t worry—it’s a common challenge, especially with a demanding program like the ibdp. here are a few additional steps you can take:

seek support: talk to your teachers, school counselors, or a mentor. they can offer guidance, resources, and strategies tailored to your specific situation.

review and adjust: regularly review your schedule and time management strategies. see what’s working and what isn’t, and make adjustments as needed.

limit distractions: identify and minimize distractions during study time. this might mean turning off notifications, finding a quiet study space, or using apps that block distracting websites (i recommend tracking yourself on ypt).

practice self-compassion: be kind to yourself. it’s okay to have off days or to struggle with time management. recognize your efforts and progress, and don’t be too hard on yourself.

consider professional help: if time management issues are significantly impacting your well-being or academic performance, consider seeking help from a professional, such as a therapist or a coach who specializes in time management.

in summary, mastering time management is crucial for success in both academic and personal areas. with commitment and practice, you can develop strong time management skills that will serve you well throughout your life. keep aiming for balance and don’t hesitate to ask for help when needed. you’ve got this!

❤️ nene

i hope this post helps, @cherrybros

[engineeringwork]

Maximizing Efficiency with Pareto Analysis

Source: https://rambox.app/wp-content/uploads/2023/10/The-power-of-Pareto-analysis.png

In the fast-paced world of business and problem-solving, prioritizing actions can make the difference between success and failure. Enter Pareto Analysis, a powerful tool rooted in the 80/20 rule, which helps identify the most significant factors affecting outcomes. This principle, named after the Italian economist Vilfredo Pareto, asserts that 80% of effects often come from 20% of causes. Here’s why and how Pareto Analysis can transform your approach to tackling challenges.

The Power of the 80/20 Rule

The 80/20 rule is both simple and profound. It suggests that a small number of causes (20%) are responsible for the majority of effects (80%). In business, this might mean that 80% of your revenue comes from 20% of your customers, or 80% of your problems stem from 20% of the underlying causes. Recognizing this disproportionate distribution allows you to focus your efforts on the areas that will yield the most significant improvements.

Implementing Pareto Analysis

Identify Key Issues: Begin by listing all the problems or causes related to the situation at hand. This could be defects in a product, customer complaints, or sources of inefficiency.

Quantify the Impact: Measure the frequency or severity of each issue. This data-driven approach ensures your analysis is based on facts, not assumptions.

Rank and Prioritize: Arrange the issues from most significant to least significant. This ranking helps in visualizing which problems are the most critical.

Create a Pareto Chart: Construct a bar graph with causes on the x-axis and their impact on the y-axis. Add a cumulative percentage line to see how quickly the issues add up to 80% of the problem.

Benefits of Pareto Analysis

Focus on What Matters: By zeroing in on the most impactful issues, you can allocate resources more effectively and achieve quicker results.

Data-Driven Decisions: Pareto Analysis removes guesswork, allowing decisions to be based on solid data.

Improved Efficiency: Addressing the key causes first leads to significant improvements with less effort.

Real-World Example

Consider a software company facing numerous customer complaints. A Pareto Analysis might reveal that 80% of complaints come from 20% of the software bugs. By prioritizing fixes for these critical bugs, the company can significantly enhance user satisfaction and reduce the volume of complaints.

Conclusion

Pareto Analysis is a game-changer for anyone looking to optimize processes and solve problems efficiently. By focusing on the vital few causes that have the greatest impact, you can make meaningful progress without being overwhelmed by the many lesser issues. Embrace the 80/20 rule and watch your efficiency and effectiveness soar.

Maximize your impact with Pareto Analysis, and turn your biggest challenges into your most significant victories.

📊✨ #ParetoAnalysis #8020Rule #Efficiency #ProblemSolving #DataDriven #BusinessStrategy #Optimize

[jkottke]

A Pareto analysis of the best driver/kart build you can drive in Mario Kart 8. “The Pareto efficiency is an objective criteria to filter out suboptimal choices, but you still need to make up your final decision.”

[and-then-there-were-n0ne]

Power laws, whereby a small number of people tend to be responsible for a huge proportion of any phenomenon, can be found in all human activity, whether it be income, book sales by authors, or number of sexual partners; the most well-known, the Pareto principle, or the 80/20 rule, originally comes from Italian land ownership.

Lawbreaking, too, observes a power law, so that a huge proportion of crime is committed by a very small number of offenders who have an outsized impact on society.

Inquisitive Bird wrote that power laws are ‘observed for arrests, convictions and even self-reported delinquent behavior’. He cited British data which shows that ‘70% of custodial sentences are imposed on those with at least seven previous convictions or cautions, and 50% are imposed on those with at least 15 previous convictions or cautions (Cuthbertson, 2017).

‘But perhaps the most illustrative study is by Falk et al. (2014), who used Swedish nationwide data of all 2.4 million individuals born in 1958–1980 and looked at the distribution of violent crime convictions. In short, they found that 1% of people were accountable for 63% of all violent crime convictions, and 0.12% of people accounted for 20% of violent crime convictions.’

Therefore in Sweden, some ‘70–80% of violent crimes are recidivism after an earlier conviction for a violent crime’, and ‘approximately half of violent crime convictions were committed by people who already had 3 or more violent crime convictions. In other words, if after being convicted of 3 violent crimes people were prevented from further offending, half of violent crime convictions would have been avoided.’

The author notes that, although ‘America has a reputation of a very harsh penal system that is very quick to lock anyone up’, this is not true. In fact one study found that ‘72.8% of federal offenders sentenced had been convicted of a prior offense. The average number of previous convictions was 6.1 among offenders with criminal history.’

Contrary to what received opinion in Britain believes, America is not a particularly punitive country; in fact criminals are often allowed to repeatedly offend until the inevitable tragedy happens.

The post cites analysis by the National Institute for Criminal Justice Reform which finds that ‘Overall, most victims and suspects with prior criminal offenses had been arrested about 11 times for about 13 different offenses by the time of the homicide. This count only refers to adult arrests and juvenile arrests were not included.’

In Washington DC, about 60–70% of all gun violence is carried out by just 500 individuals, and the same Pareto principle applies to shoplifting, the bane of big liberal cities like San Francisco or Vancouver, where 40 offenders were arrested 6,000 times in a year.

According to the New York Times, ‘Nearly a third of all shoplifting arrests in New York City last year involved just 327 people, the police said. Collectively, they were arrested and rearrested more than 6,000 times.’ That third is therefore committed by less than 0.004% of New York’s population.

The same is true of Britain. According to the Daily Telegraph, ‘Prolific thieves are being caught and convicted of stealing up to 50 times before they are jailed by the courts.

‘Violent offenders are escaping jail until they have been convicted of up to 25 common assaults, while some are accruing as many as seven or eight repeat convictions for carrying a knife before they are given a prison sentence. Other criminals are collecting more than 20 drug convictions before being jailed.’

The paper reported that one-tenth of offenders in England and Wales commit half of all crimes, and that ‘10,400 “super-prolific” offenders who had been convicted of more than 50 previous offences each were spared jail over the past three years’. Between 2019 and 2021, 100,000 offenders with more than 16 previous convictions avoided prison.

They also found that for theft, prolific offenders had to rack up 49 previous convictions or cautions before they were jailed, ‘For robbery – theft with force or the threat of violence – it was nine previous such offences’, and for common assault 25 such attacks.

In 2020, one burglar was only jailed after 20 convictions; one knife offender was caught seven times with weapons before going down, and another eight times. ‘Even for sexual assault, the worst offender had been convicted of five previous attacks before being jailed in 2020, and three in 2021.’ How can someone commit five sexual assaults and still not be jailed?

Yet people convicted of multiple crimes will almost certainly have committed many, many more. One study ‘followed 411 South London men from age 8–9 in the early 1960s through their lives’ and found they admitted to ‘committing many hundreds of times more crimes than they were ever caught for.’ On top of this, most burglars also routinely shoplift, and the fact that people who self-report greater numbers of crimes tend to get caught and convicted later in life ‘implies that self reports have some level of validity’.

Unsurprisingly, British criminals released after short sentences of less than 12 months are more likely than not to reoffend within a year, while only 5% of those who endure stretches of 10 years or more do so.

All of this has huge implications for crime policy and suggests that merely relying on higher clear-up rates, and the stronger possibility of detection, are not enough in themselves. [...]

What matters is that persistent wrongdoers are kept away from society.

A friend based in Singapore has on occasion sent pictures of his bike, in a rack on a main road where he leaves it overnight, unlocked. The fact that he does so, and expects to see it in the morning, is almost mind-blowing to me. [...]

But such levels of civilisation are simply impossible when a small minority of criminals are allowed to mingle freely in society. Urban honesty boxes are impossible not because British society is inherently wicked but because a relatively tiny number of people would clear them out. Imprisoning several thousand more persistent wrongdoers, for long stretches, would bring Britain’s crime rates down to similar levels enjoyed in Singapore, where shops can stay open into the small hours without security, and women can walk home late at night listening to music on their earphones.

Until policymakers accept that prolific criminals have to be incapacitated, the rest of us are condemned to a quality of life well below what we should expect.

[chicago-geniza]

Well Agnes there is a very very long answer that involves a lot of discourse analysis & historicism but the tl;dr is Mosca, Pareto, Michels, & the Italian school of elitism --> laundered into American English sociopolitical vernacular in the 50s and 60s, I'd cite C. Wright Mills' The Power Elite (1956) and G. William Domhoff's Who Rules America (1967) off the dome if we're talking trade paperbacks with popular readership, also part of why Elite Capture made me insane and I couldn't get past the intro, it didn't adequately account for the intellectual origins of ~elite theory or interrogate how "elites" often doubles as a dogwhistle

Per your question re: terminology on a purely semantic level I'd say it's because "ruler" implies sovereignty and "elite" implies a kind of soft power, plus applies to non-gov't subjects (plus the shadowy vizier vibe goes hand in hand with aforementioned dogwhistles and the conspiratorial logics they signal)

Why am I talking to Agnes's mastodon posts at 10.30 pm. Analytic philosophers please learn one (1) thing about sociology and the history of Discourses I guess lol

[4cplconsultancy2005]

7 QUALITY CONTROL TOOLS FOR PROCESS IMPROVEMENT

“As much as 95 per cent of all quality-related problems in the factory can be solved with seven fundamental quantitative tools.”

-Kaoru Ishikawa, The inventor of Fishbone Diagram

In today’s customer-centric market, quality is an integral factor in the growth and sustainability of any business. Businesses go the extra mile to provide the best and excellent customer experience to ensure customer satisfaction. Hence, efficient quality management which has the highest impact on customer experience is one of the most essential features for any business.

Introduced by Kaoru Ishikawa, the seven basic tools of quality also known as 7QC tools are very effective in quality management and quality assurance process. So, businesses who want to ensure competitive and excellent quality of their products and services can utilize the proven 7QC tools for structuring a strategic plan for quality improvement.

LIST OF 7 QC TOOLS

Cause and Effect Diagram

Cause and Effect Diagram also known as Fishbone Diagram helps in identifying the potential causes of an effect or a problem. In addition to sorting ideas in respective categories, it also helps in understanding the areas of opportunity through effective brainstorming. Fishbone training empowers you to identify the potential cause in the problem.

Control Chart

Control charts are used to study how the processes have changed over a period of time. Further, by comparing current data to historical control limits, one could lead to the conclusion about whether the process variation is consistent as in under control or unpredictable as in out of the control due to being affected by special causes of variation.

Pareto Chart

Pareto Chart is based on the 80/20 rule where it shows the significant factors that have the highest impact on the identified problem.

Check Sheet

Check sheet is a structured process which helps to collect and analyzing data. It is an effective tool that can be for a variety of purposes.

Histogram

Histogram is commonly used a graph that shows the data and its frequency of distribution to help users identify each different value in a set of data occurs.

Scatter Diagram

Scatter diagram shows the relationship between two important factors i.e. pairs of numerical data, one variable on each axis to demonstrate the relationship.

Stratification

Stratification also known as a flow chart or run chart is a technique that separates the data gathered from a variety of sources so that patterns can be seen i.e., the path an entity has taken through a defined process.

Utilizing the 7 QC tools in six sigma or quality management process helps in taking a systematic approach to identify and understand the risk, assess the risk, control fluctuation of product quality and accordingly provide solutions to avoid future defects.

WHEN SHOULD YOU USE 7 QC TOOLS?

7 QC tools can be carried out during the quality management, quality improvement process, six sigma implementation processes or even the regular PDCA cycle for the quality purpose for enhanced quality management.

In the first phase of measuring and identifying, Fishbone Diagram also known as cause and effect diagram, Pareto Chart and Control Chart can be utilized. In the next phases of assessment and analysis, Scatter Diagram, Histogram and Checklist can be carried out. The Control Chart can be utilized consistent quality improvement.

BENEFITS OF 7 QC TOOLS

The 7 QC tools are structured and fundamental instruments that help businesses improve their management and production process for achieving enhanced product quality.

From assessing and examining the production process, identification of key challenges and problems to controlling the fluctuation present in the product quality and providing solutions for prevention of defects in future, the easy to understand and implement, 7 QC tools are very effective. Some of the major business benefits of 7 QC tools are listed below.

Provides a more structured path for problem-solving and quality improvement

Easy to understand as well as implement yet extremely effective

A scientific and logical approach for problem-solving

Follows the 80/20 rule i.e. gain 80% result with 20% efforts

Improve the quality of product and services

Helps in identifying and analyzing problems during the process

Fishbone training aides in root cause analysis and problem-solving

Encourages team spirit and fosters a healthy culture

Identifies roots cause and solve it permanently

Enhance customer experience and customer satisfaction

Based on the data-driven process and customer-centric approach, 7 QC tools implementation is one of the most effective processes that too in the shortest amount of time.

4C team of certified professionals has provided 80+ implementation of 7 QC Tools and 120+ 7 QC Tools Training. By solving 200+ quality problems, 4C has empowered clients to reduce the 80% cost of poor quality.  To accelerate your quality management process and reduce your cost of poor quality, contact our experts now.

[malodabivictor]

Daftar istilah dan metode dalam Statistika:

1. Data

2. Variabel

3. Rata-rata (Mean)

4. Median

5. Modus

6. Standar Deviasi

7. Distribusi Normal

8. Regresi

9. Korelasi

10. Uji Hipotesis

11. Interval Kepercayaan

12. Chi-Square

13. ANOVA

14. Regresi Linier

15. Metode Maximum Likelihood (ML)

16. Bootstrap

17. Pengambilan Sampel Acak Sederhana

18. Distribusi Poisson

19. Teorema Pusat Batas

20. Pengujian Non-parametrik

21. Analisis Regresi Logistik

22. Statistik Deskriptif

23. Grafik

24. Pengambilan Sampel Berstrata

25. Pengambilan Sampel Klaster

26. Statistik Bayes

27. Statistik Inferensial

28. Statistik Parametrik

29. Statistik Non-Parametrik

30. Pengujian A/B (A/B Testing)

31. Pengujian Satu Arah dan Dua Arah

32. Validitas dan Reliabilitas

33. Peramalan (Forecasting)

34. Analisis Faktor

35. Regresi Logistik Ganda

36. Model Linier General (GLM)

37. Korelasi Kanonikal

38. Uji T

39. Uji Z

40. Uji Wilcoxon

41. Uji Mann-Whitney

42. Uji Kruskal-Wallis

43. Uji Friedman

44. Uji Chi-Square Pearson

45. Uji McNemar

46. Uji Kolmogorov-Smirnov

47. Uji Levene

48. Uji Shapiro-Wilk

49. Uji Durbin-Watson

50. Metode Kuadrat Terkecil (Least Squares Method)

51. Uji F

52. Uji t Berpasangan

53. Uji t Independen

54. Uji Chi-Square Kemerdekaan

55. Analisis Komponen Utama (PCA)

56. Analisis Diskriminan

57. Pengujian Homogenitas Varians

58. Pengujian Normalitas

59. Peta Kendali (Control Chart)

60. Grafik Pareto

61. Sampling Proporsional Terhadap Ukuran (PPS)

62. Pengambilan Sampel Multistage

63. Pengambilan Sampel Sistematis

64. Pengambilan Sampel Stratified Cluster

65. Statistik Spasial

66. Uji K-Sample Anderson-Darling

67. Statistik Bayes Empiris

68. Regresi Nonlinier

69. Regresi Logistik Ordinal

70. Estimasi Kernel

71. Pengujian Kuadrat Terkecil Penilaian Residu (LASSO)

72. Analisis Survival (Survival Analysis)

73. Regresi Cox Proportional Hazards

74. Analisis Multivariat

75. Pengujian Homogenitas

76. Pengujian Heteroskedastisitas

77. Interval Kepercayaan Bootstrap

78. Pengujian Bootstrap

79. Model ARIMA (Autoregressive Integrated Moving Average)

80. Skala Likert

81. Metode Jackknife

82. Statistik Epidemiologi

83. Statistik Genetik

84. Statistik Olahraga

85. Statistik Sosial

86. Statistik Bisnis

87. Statistik Pendidikan

88. Statistik Medis

89. Statistik Lingkungan

90. Statistik Keuangan

91. Statistik Geospasial

92. Statistik Psikologi

93. Statistik Teknik Industri

94. Statistik Pertanian

95. Statistik Perdagangan dan Ekonomi

96. Statistik Hukum

97. Statistik Politik

98. Statistik Media dan Komunikasi

99. Statistik Teknik Sipil

100. Statistik Sumber Daya Manusia

101. Regresi Logistik Binomialis

102. Uji McNemar-Bowker

103. Uji Kolmogorov-Smirnov Lilliefors

104. Uji Jarque-Bera

105. Uji Mann-Kendall

106. Uji Siegel-Tukey

107. Uji Kruskal-Wallis Tingkat Lanjut

108. Statistik Proses

109. Statistik Keandalan (Reliability)

110. Pengujian Bootstrap Berkasus Ganda

111. Pengujian Bootstrap Berkasus Baku

112. Statistik Kualitas

113. Statistik Komputasi

114. Pengujian Bootstrap Kategorikal

115. Statistik Industri

116. Metode Penghalusan (Smoothing Methods)

117. Uji White

118. Uji Breusch-Pagan

119. Uji Jarque-Bera Asimetri dan Kurtosis

120. Statistik Eksperimental

121. Statistik Multivariat Tidak Parametrik

122. Statistik Stokastik

123. Statistik Peramalan Bisnis

124. Statistik Parametrik Bayes

125. Statistik Suku Bunga

126. Statistik Tenaga Kerja

127. Analisis Jalur (Path Analysis)

128. Statistik Fuzzy

129. Statistik Ekonometrika

130. Statistik Inflasi

131. Statistik Kependudukan

132. Statistik Teknik Pertambangan

133. Statistik Kualitatif

134. Statistik Kuantitatif

135. Analisis Ragam Keterkaitan (Canonical Correlation Analysis)

136. Uji Kuadrat Terkecil Parsial (Partial Least Squares Regression)

137. Uji Haar

138. Uji Jarque-Bera Multivariat

139. Pengujian Bootstrap Berkasus Acak

140. Pengujian Bootstrap Berkasus Tak Baku

[yakourinka]

quality function deployment pareto analysis sprint burndown chart nominal grouping technique fishbone diagram SWOT metrics sanity loss sfx

[imrovementcompany]

Continuous Improvement

The manufacturing sector is highly competitive, and companies must continually improve their processes. In this article, we will discuss a step-by-step approach to continuous improvement in manufacturing. We will focus on collecting data for the process, prioritizing problems, monitoring defects, identifying the root cause of defects, standardizing the fix, and confirming the solution’s…

[4cconsulting]

7 core tools of quality - 7 quality control tools pdf - tools of quality control

“As much as 95 per cent of all quality-related problems in the factory can be solved with seven fundamental quantitative tools.”

-Kaoru Ishikawa, The inventor of Fishbone Diagram

In today’s customer-centric market, quality is an integral factor in the growth and sustainability of any business. Businesses go the extra mile to provide the best and excellent customer experience to ensure customer satisfaction. Hence, efficient quality management which has the highest impact on customer experience is one of the most essential features for any business.

Introduced by Kaoru Ishikawa, the seven basic tools of quality also known as 7QC tools are very effective in quality management and quality assurance process. So, businesses who want to ensure competitive and excellent quality of their products and services can utilize the proven 7QC tools for structuring a strategic plan for quality improvement.

LIST OF 7 QC TOOLS

Cause and Effect Diagram

Cause and Effect Diagram also known as Fishbone Diagram helps in identifying the potential causes of an effect or a problem. In addition to sorting ideas in respective categories, it also helps in understanding the areas of opportunity through effective brainstorming. Fishbone training empowers you to identify the potential cause in the problem.

Control Chart

Control charts are used to study how the processes have changed over a period of time. Further, by comparing current data to historical control limits, one could lead to the conclusion about whether the process variation is consistent as in under control or unpredictable as in out of the control due to being affected by special causes of variation.

Pareto Chart

Pareto Chart is based on the 80/20 rule where it shows the significant factors that have the highest impact on the identified problem.

Check Sheet

Check sheet is a structured process which helps to collect and analyzing data. It is an effective tool that can be for a variety of purposes.

Histogram

Histogram is commonly used a graph that shows the data and its frequency of distribution to help users identify each different value in a set of data occurs.

Scatter Diagram

Scatter diagram shows the relationship between two important factors i.e. pairs of numerical data, one variable on each axis to demonstrate the relationship.

Stratification

Stratification also known as a flow chart or run chart is a technique that separates the data gathered from a variety of sources so that patterns can be seen i.e., the path an entity has taken through a defined process.

Utilizing the 7 QC tools in six sigma or quality management process helps in taking a systematic approach to identify and understand the risk, assess the risk, control fluctuation of product quality and accordingly provide solutions to avoid future defects.

BENEFITS OF 7 QC TOOLS

The 7 QC tools are structured and fundamental instruments that help businesses improve their management and production process for achieving enhanced product quality.

From assessing and examining the production process, identification of key challenges and problems to controlling the fluctuation present in the product quality and providing solutions for prevention of defects in future, the easy to understand and implement, 7 QC tools are very effective. Some of the major business benefits of 7 QC tools are listed below.

Provides a more structured path for problem-solving and quality improvement

Easy to understand as well as implement yet extremely effective

A scientific and logical approach for problem-solving

Follows the 80/20 rule i.e. gain 80% result with 20% efforts

Improve the quality of product and services

Helps in identifying and analyzing problems during the process

Fishbone training aides in root cause analysis and problem-solving

Encourages team spirit and fosters a healthy culture

Identifies roots cause and solve it permanently

Enhance customer experience and customer satisfaction

Based on the data-driven process and customer-centric approach, 7 QC tools implementation is one of the most effective processes that too in the shortest amount of time.

4C team of certified professionals has provided 80+ implementation of 7 QC Tools and 120+ 7 QC Tools Training. By solving 200+ quality problems, 4C has empowered clients to reduce the 80% cost of poor quality.  To accelerate your quality management process and reduce your cost of poor quality, contact our experts now.

[leansigmajourney]

Introduction of Quality Function Deployment

Quality Function Deployment (QFD) is a structured method used to transform customer needs (the “voice of the customer”) into specific engineering and operational requirements. It is widely used in product development, design, and quality management. QFD aims to ensure that customer needs are clearly understood and systematically implemented throughout the entire process, from design to production and beyond.

Key components of QFD:

Voice of the Customer (VOC):

This refers to the collection of customer requirements, expectations, and desires for a product or service.

Methods such as surveys, interviews, focus groups, and market research are used to gather VOC.

House of Quality (HoQ):

The most recognizable part of QFD is the “House of Quality,” a matrix that translates customer requirements into technical specifications.

It is called a “house” because it resembles a house structure with various sections. The HoQ consists of the following parts:

Customer Requirements (Whats): These are customer needs, listed on the left-hand side of the matrix.

Technical Requirements (Hows): These are technical characteristics or specifications needed to satisfy the customer requirements, listed on the top of the matrix.

Relationship Matrix: It shows the strength of the relationship between customer requirements and technical requirements (strong, medium, or weak).

Roof: The upper triangle of the matrix helps identify the correlation between different technical requirements.

Prioritization: Each requirement is weighted according to its importance to the customer, allowing teams to prioritize efforts.

Phases of QFD: QFD typically has four phases, each building on the previous one:

Phase 1: Product Planning (House of Quality):

In this phase, customer requirements are translated into technical design requirements.

Tools like the HoQ are heavily used here.

Phase 2: Product Design:

Technical design requirements identified in Phase 1 are translated into detailed part or component specifications.

Phase 3: Process Planning:

Detailed part specifications are further translated into specific manufacturing or operational processes.

Phase 4: Production Planning:

The process planning is transformed into specific production requirements, such as equipment, maintenance, and testing procedures.

Tools and Techniques Used in QFD:

Affinity Diagrams: Used to organize and summarize large amounts of data, especially when collecting VOC.

Pareto Analysis: Helps prioritize customer needs based on their importance.

Benchmarking: Comparing the product with competitors to understand where improvements can be made.

Example: QFD in the automotive industry

Customer Requirements:

Safety, fuel efficiency, comfort, and price.

Technical Requirements:

Use of high-strength steel for safety.

Engine efficiency improvements for fuel efficiency.

Ergonomic design for comfort.

Cost-effective sourcing of materials to meet price constraints.

House of Quality Matrix:

Lists safety, fuel efficiency, comfort, and price on the left (What), and technical solutions (How) like material selection, engine design, etc., across the top.

A relationship matrix helps engineers see how each technical solution impacts customer requirements.

In summary, QFD ensures that the entire organization—from design engineers to production teams—focuses on delivering products or services that truly meet customer expectations.

[drmikewatts]

IEEE Transactions on Evolutionary Computation, Volume 28, Number 5, October 2024

1) Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy

Author(s:); Gonglin Yuan, Bin Wang, Bing Xue, Mengjie Zhang

Pages: 1190 - 1204

2) Conditional Generative Adversarial Network-Based Bilevel Evolutionary Multiobjective Optimization Algorithm

Author(s:); Weizhong Wang, Hai-Lin Liu

Pages: 1205 - 1219

3) Can Evolutionary Clustering Have Theoretical Guarantees?

Author(s:); Chao Qian

Pages: 1220 - 1234

4) Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling

Author(s:); Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang

Pages: 1235 - 1249

5) Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization

Author(s:); Han Huang, Yueting Xu, Yi Xiang, Zhifeng Hao

Pages: 1250 - 1264

6) Robust Optimization Over Time: A Critical Review

Author(s:); Danial Yazdani, Mohammad Nabi Omidvar, Donya Yazdani, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao

Pages: 1265 - 1285

7) Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization

Author(s:); Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin

Pages: 1286 - 1300

8) Estimation of Distribution Algorithms in Machine Learning: A Survey

Author(s:); Pedro Larrañaga, Concha Bielza

Pages: 1301 - 1321

9) Multiobjective Optimization-Based Network Control Principles for Identifying Personalized Drug Targets With Cancer

Author(s:); Jing Liang, Zhuo Hu, Zong-Wei Li, Kangjia Qiao, Wei-Feng Guo

Pages: 1322 - 1335

10) Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption

Author(s:); Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing

Pages: 1336 - 1350

11) Machine Learning-Based Prediction of New Pareto-Optimal Solutions From Pseudo-Weights

Author(s:); Anirudh Suresh, Kalyanmoy Deb

Pages: 1351 - 1365

12) A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification

Author(s:); Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

Pages: 1366 - 1380

13) Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm

Author(s:); Guoyu Chen, Yinan Guo, Yong Wang, Jing Liang, Dunwei Gong, Shengxiang Yang

Pages: 1381 - 1395

14) A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments

Author(s:); Ke Li, Renzhi Chen, Xin Yao

Pages: 1396 - 1411

15) Interactively Learning Rough Strategies That Dynamically Satisfy Investor’s Preferences in Multiobjective Index Tracking

Author(s:); Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho

Pages: 1412 - 1426

16) A Self-Adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids

Author(s:); Haoxiang Qin, Wenlei Bai, Yi Xiang, Fangqing Liu, Yuyan Han, Ling Wang

Pages: 1427 - 1441

17) Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency for Many Objectives

Author(s:); Weijie Zheng, Benjamin Doerr

Pages: 1442 - 1454

18) Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression

Author(s:); Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang

Pages: 1455 - 1469

19) Regularity Evolution for Multiobjective Optimization

Author(s:); Shuai Wang, Aimin Zhou

Pages: 1470 - 1483

20) SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method

Author(s:); Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang

Pages: 1484 - 1498

21) Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization

Author(s:); Yuxiao Huang, Wei Zhou, Yu Wang, Min Li, Liang Feng, Kay Chen Tan

Pages: 1499 - 1513

22) VSG3A2: A Genetic Algorithm-Based Virtual Sample Generation Approach Using Information Gain and Acceptance-Rejection Sampling

Author(s:); Hong Yu, Xuekang Fan, Guoyin Wang, Yongfang Xie

Pages: 1514 - 1528

23) A Dynamic-Niching-Based Pareto Domination for Multimodal Multiobjective Optimization

Author(s:); Juan Zou, Qi Deng, Yuan Liu, Xinjie Yang, Shengxiang Yang, Jinhua Zheng

Pages: 1529 - 1543

[valtitude-portfolio-management]

Valtitude -Product Portfolio Management

Impact of Data Volatility on Forecasting

Measuring Volatility

Impact of multiple Extreme Observations on Volatility

SKU Segmentation for demand modeling & inventory strategies

Modeling by exception

ABC analysis - Classification philosophy

Pareto analysis  based on dollar usage

Item criticality

Excess, obsolete and Slow-moving Alignment with the product lifecycle

Discontinuance and end of life (EOL)

Process flow for Segmenting SKUs

Example using a three-dimensional matrix; ABC / Volume / Critical / Status; the excess, obsolete impact of Segmentation on Cycle Counting and Inventory Accuracy.

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