Failure modes and effects analysis also documents current knowledge and actions about the risks of failures, for use in continuous improvement. FMEA is used during design to prevent failures. Later it’s used for control, before and during ongoing operation of the process. Ideally, FMEA begins during the earliest conceptual stages of design and continues throughout the life of the product or service.
The Seven Basic Tools of Quality (also known as 7 QC Tools) originated in Japan when the country was undergoing major quality revolution and had become a mandatory topic as part of Japanese’s industrial training program. These tools which comprised of simple graphical and statistical techniques were helpful in solving critical quality related issues. These tools were often referred as Seven Basics Tools of Quality because these tools could be implemented by any person with very basic training in statistics and were simple to apply to solve quality-related complex issues.
Failure modes and effects analysis also documents current knowledge and actions about the risks of failures, for use in continuous improvement. FMEA is used during design to prevent failures. Later it’s used for control, before and during ongoing operation of the process. Ideally, FMEA begins during the earliest conceptual stages of design and continues throughout the life of the product or service.
The Seven Basic Tools of Quality (also known as 7 QC Tools) originated in Japan when the country was undergoing major quality revolution and had become a mandatory topic as part of Japanese’s industrial training program. These tools which comprised of simple graphical and statistical techniques were helpful in solving critical quality related issues. These tools were often referred as Seven Basics Tools of Quality because these tools could be implemented by any person with very basic training in statistics and were simple to apply to solve quality-related complex issues.
Basic concepts of Total Quality Management Dr.Raja R
Primary Elements of TQM, Customer-focused, Total employee involvement, Process-centered, Integrated system, Strategic and systematic approach, Continual improvement.
Accelerated life testing plans are designed under multiple objective consideration, with the resulting Pareto optimal solutions classified and reduced using neural network and data envelopement analysis, respectively.
THIS PPT IS ABOUT MEASUREMENT SYSTEM ANALYSIS.. THIS IS VERY USEFUL FOR PERSON WORKING IN INDUSTRY. IT ALSO TALK ABOUT SIX SIGMA APPROACH FOR EFFECTIVE MEASUREMENT.REPEATIBILITY & REPRODUCIBILITY ARE ALSO WELL EXPLAINED IN THIS PPT.
Performance Rating of workers on Assembly Line or Employees in Industry, Systems of Rating: Pace Rating, Westinghouse Rating, Objective Rating, Synthetic Rating
The presentation is about basic statistical techniques and how statistics can be used effectively in the quality control and process control. It also presents statistical package Minitab version 16 and some of its applications in the field of statistical process control.
Unit III - Statistical Process Control (SPC)Dr.Raja R
The seven tools of quality – Statistical Fundamentals – Measures of central Tendency and Dispersion, Population and Sample, Normal Curve, Control Charts for variables Xbar and R chart and attributes P, nP, C, and u charts, Industrial Examples, Process capability, Concept of six sigma – New seven Management tools.
Introduction
Types of Material Handling Equipment
Material Transport Equipment
Storage Systems
Unitizing Equipment
Identification and Tracking Systems
Principles of Material Handling
Automated Guided Vehicles (AGVs)
Components of AGVS
Types of AGVs
Driverless Trains
Automated Guided Pallet Trucks
AGV Unit Load Carriers
Vehicle Guidance
Imbedded Guide Wires
Paint Strips
Self-guided Vehicles
Vehicle Routing
Frequency Select Method
Path Switch Select Method
Traffic Control
On-board Vehicle Sensing
Zone Control
Benefits of AGV
Applications of AGV
Basic concepts of Total Quality Management Dr.Raja R
Primary Elements of TQM, Customer-focused, Total employee involvement, Process-centered, Integrated system, Strategic and systematic approach, Continual improvement.
Accelerated life testing plans are designed under multiple objective consideration, with the resulting Pareto optimal solutions classified and reduced using neural network and data envelopement analysis, respectively.
THIS PPT IS ABOUT MEASUREMENT SYSTEM ANALYSIS.. THIS IS VERY USEFUL FOR PERSON WORKING IN INDUSTRY. IT ALSO TALK ABOUT SIX SIGMA APPROACH FOR EFFECTIVE MEASUREMENT.REPEATIBILITY & REPRODUCIBILITY ARE ALSO WELL EXPLAINED IN THIS PPT.
Performance Rating of workers on Assembly Line or Employees in Industry, Systems of Rating: Pace Rating, Westinghouse Rating, Objective Rating, Synthetic Rating
The presentation is about basic statistical techniques and how statistics can be used effectively in the quality control and process control. It also presents statistical package Minitab version 16 and some of its applications in the field of statistical process control.
Unit III - Statistical Process Control (SPC)Dr.Raja R
The seven tools of quality – Statistical Fundamentals – Measures of central Tendency and Dispersion, Population and Sample, Normal Curve, Control Charts for variables Xbar and R chart and attributes P, nP, C, and u charts, Industrial Examples, Process capability, Concept of six sigma – New seven Management tools.
Introduction
Types of Material Handling Equipment
Material Transport Equipment
Storage Systems
Unitizing Equipment
Identification and Tracking Systems
Principles of Material Handling
Automated Guided Vehicles (AGVs)
Components of AGVS
Types of AGVs
Driverless Trains
Automated Guided Pallet Trucks
AGV Unit Load Carriers
Vehicle Guidance
Imbedded Guide Wires
Paint Strips
Self-guided Vehicles
Vehicle Routing
Frequency Select Method
Path Switch Select Method
Traffic Control
On-board Vehicle Sensing
Zone Control
Benefits of AGV
Applications of AGV
Experience Mazda Zoom Zoom Lifestyle and Culture by Visiting and joining the Official Mazda Community at http://www.MazdaCommunity.org for additional insight into the Zoom Zoom Lifestyle and special offers for Mazda Community Members. If you live in Arizona, check out CardinaleWay Mazda's eCommerce website at http://www.Cardinale-Way-Mazda.com
Get your quality homework help now and stand out.Our professional writers are committed to excellence. We have trained the best scholars in different fields of study.Contact us now at http://www.essaysexperts.net/ and place your order at affordable price done within set deadlines.We always have someone online ready to answer all your queries and take your requests.
Electrical Drives and Control Heating and Cooling CurvesDr.Raja R
Electrical Drives and Control
Heating and Cooling Curves
Relation Ship Between Temperature Rise and Time:
Heating time constant
Cooling time constant
MUTHAYAMMAL ENGINEERING COLLEGE
Electric Drives and Controls Unit 1 IntroductionDr.Raja R
Electric Drives and Controls
Unit 1 Introduction
Block Diagram of Electric Drive
Power Source
Power Modulator
Load
Control Unit
Sensing Unit
Motor
Classification of Electrical Drives
Advantages of Electrical Drives
Disadvantages of Electrical Drive
Applications of Electrical Drives
Environmental impacts of renewable energy generation systems (cost ghg emission)Dr.Raja R
Environmental Impacts of Renewable Energy Generation Systems (Cost-GHG Emission)
Power Electronics for Renewable Energy Systems
Renewable Energy Systems
Solar
Wind
Ocean
Hydro
Applications of carbon materials in electrical engineeringDr.Raja R
Applications of carbon materials in electrical engineering
Introduction
Carbon Use for Making Filament of Incandescent Lamp
Carbon Use for Making Electrical Contacts
Carbon Use for Making Resistors
Carbon Use for Making Brushes for Electrical DC Machines and Alternators
Carbon Use for Making Dry Cell Elements
Carbon Electrodes Use for Electric Furnaces
Graphite Carbon Use for Arc Lighting and Welding Electrodes
Carbon use as Component of Vacuum Valves and Tubes
High Voltage Transformers
Voltage Regulation, Variation of Alternator Field Current, Voltage Regulation by Inserting Resistance or Inductance, Induction Regulator Method,Voltage Variation by Means of Tapped Transformer
Making india non fossil fuel based, Types of Renewable Energy Sources, Solar Energy
Wind Energy
Hydro Energy
Tidal Energy
Geothermal Energy and
Biomass Energy
Rooftop Solar - Future for India, Grid-Connected and Off-Grid Rooftop Solar System, Hybrid Systems, CAPEX Model (Capital Expenditure Model), OPEX Model (Operating Expenses Model), Inside the Home of the Future
Introduction to reactive power control in electrical powerDr.Raja R
Introduction to reactive power control in electrical power
Reactive power in transmission line :
Reactive power control
Reactive power and its importance
Apparent Power
Reactive Power
Apparent Power
Reactive Power Formula
Basic Difference Between Wires and CablesDr.Raja R
Basic Difference Between Wires and Cables
What’s the basic difference between Wires and Cables?
List some of the basic differences between Wires and Cables
Different uses of Wire and Cable
Types of Wire and Cable
Different advantages of using Wire and Cable
NAAC (Criterion-I : Curricular Aspects for Autonomous Engineering Colleges)Dr.Raja R
NAAC (Criterion-I : Curricular Aspects for Autonomous Engineering Colleges),
Introduction
Key Indicators (KIs)
1.1 Curriculum Design and Development
1.2 Academic Flexibility
1.3 Curriculum Enrichment
1.4 Feedback System
List of Files and Documents Required
Data Templates/Documents - Quantitative Metrics (QnM)
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Statistical Fundamentals in Total Quality Management
1. Presented by
Dr. R. RAJA, M.E., Ph.D.,
Assistant Professor, Department of EEE,
Muthayammal Engineering College, (Autonomous)
Namakkal (Dt), Rasipuram – 637408
Statistical Fundamentals in Total Quality Management
MUTHAYAMMAL ENGINEERING COLLEGE
(An Autonomous Institution)
(Approved by AICTE, New Delhi, Accredited by NAAC, NBA & Affiliated to Anna University),
Rasipuram - 637 408, Namakkal Dist., Tamil Nadu.
2. Statistical Fundamentals
Every day, you encounter numerical information that describes or an alyzes
some aspect of the world you live in. For example, here are some news items
that appeared in the pages of The New York Times during a one-month period:
Between 1969 and 2001, the rate of forearm fractures rose 52% for girls and
32% for boys, with the largest increases among children in early puberty,
according to a recent Mayo Clinic study.
Across the New York metropolitan area, the median sales price of a single
family home has risen by 75% since 1998, an increase of more than$140,000.
Astudy that explored the relationship between the price of a book and the
number of copies of a book sold found that raising prices by 1%reduced sales
by 4% at BN.com, but reduced sales by only 0.5% atAmazon.com.
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Such stories as these would not be possible to understand without statistics, the
branch of mathematics that consists of methods of processing and analyzing
data to better support rational decision-making processes.
Using statistics to better understand the world means more than just producing a
newest of numerical information you must interpret the results by reflecting on
the significance and the import process you face.
Interpretation also means knowing when to ignore results, either because they
are misleading, are produced by incorrect methods, or just restate the obvious,
as this news story “reported” by the comedian David Letterman illustrates.
“USA Today has come out with a new survey. Apparently,
3 out of every 4 people make up 75% of the population”
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As newer technologies allow people to process and analyze ever increase in
amounts of data, statistics plays an increasingly important part of many decision
making processes today.
Reading this chapter will help you understand the fundamentals of statistics and
introduce you to concepts that are used throughout this book.
The Five Basic Words of Statistics
The five words population, sample, parameter, statistic(singular), and variable
form the basic vocabulary of statistics.
You cannot learn much about statistics unless you first learn the meanings of
these five words
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The five words population, sample, parameter, statistic(singular), and variable form
the basic vocabulary of statistics.
You cannot learn much about statistics unless you first learn the meanings of these
five words.
Population
All the members of a group about which you want to draw a conclusion.
Sample
The part of the population selected for analysis
Parameter
A numerical measure that describes a characteristic of a population.
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Statistic
A numerical measure that describes a characteristic of a sample.
Calculating statistics for a sample is the most common activity, because
collecting population data is impractical for most actual decision making
situations.
Variable
A characteristic of an item or an individual
All the variables taken together form the data of an analysis. Although you may
have heard people saying that they are analyzing their data, they are, more
precisely, analyzing their variables.
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Variables can be divided into the following types.
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Categorical Variables Numerical Variables
Concept The values of these variables
are selected from an
established list of categories.
The values of these variables
involve a counted or measured
value.
Subtypes None. Discrete values are counts of
things. Continuous values are
measures, and any value can
theoretically occur, limited only
by the precision of the measuring
process.
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Branches of Statistics
Two branches, descriptive statistics and inferential statistics, comprise the field
of statistics.
Descriptive Statistics
The branch of statistics that focuses on collecting, summarizing, and presenting
a set of data.
Inferential Statistics
The branch of statistics that analyzes sample data to draw conclusions about a
population.
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Sources of Data
All statistical analysis begins by identifying the source of the data.
Among the important sources of data are published sources, experiments, and
surveys.
Published Sources
Data available in print or in electronic form, including data found on Internet
Web sites.
Primary data sources are those published by the individual or group that
collected the data.
Secondary data sources are those compiled from primary sources.
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Experiments
A process that studies the effect on a variable of varying the value(s) of another
variable or variables, while keeping all other things equal. A typical experiment
contains both a treatment group and a control group. The treatment group
consists of those individuals or things that receive the treatment(s) being
studied. The control group consists of those individuals or things that do not
receive the treatment(s) being studied
Surveys
A process that uses questionnaires or similar means to gather values for the
responses from a set of participants
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Sampling Concepts
Sampling
The process by which members of a population are selected for a sample.
Probability Sampling
A sampling process that takes into consideration the chance of occurrence of
each item being selected. Probability sampling increases your chances that the
sample will be representative of the population.
Simple Random Sampling
The probability sampling process in which every individual or item from a
population has the same chance of selection as every other individual or item.
Every possible sample of a certain size has the same chance of being selected as
every other sample that has that size.
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Frame
The list of all items in the population from which samples will be selected.
Sample Selection Methods
Proper sampling can be done with or without replacement.
Sampling With Replacement
Sampling method in which each selected item is returned to the frame from
which it was selected so that it has the same probability of being selected again.
Sampling Without Replacement
Sampling method in which each selected item is not returned to the frame from
which it was selected. Using this technique, an item can be selected no more
than one time.
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