|
Seven Basic Tools Of Quality
The seven basic tools of quality are a fixed set of visual exercises identified as being most helpful in troubleshooting issues related to quality. They are called ''basic'' because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality-related issues. Overview The seven tools are: # Cause-and-effect diagram (also known as the "fishbone diagram" or Ishikawa diagram) #Check sheet #Control chart #Histogram # Pareto chart # Scatter diagram # Stratification (alternatively, flow chart or run chart) The designation arose in postwar Japan, inspired by the seven famous weapons of Benkei. It was possibly introduced by Kaoru Ishikawa who in turn was influenced by a series of lectures W. Edwards Deming had given to Japanese engineers and scientists in 1950. At that time, companies that had set about training their workforces in statistical quality control found that the complexity of the subject intim ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Ishikawa Diagram
Ishikawa diagrams (also called fishbone diagrams, herringbone diagrams, cause-and-effect diagrams) are causal diagrams created by Kaoru Ishikawa that show the potential causes of a specific event. Common uses of the Ishikawa diagram are product design and quality defect prevention to identify potential factors causing an overall effect. Each cause or reason for imperfection is a source of variation. Causes are usually grouped into major categories to identify and classify these sources of variation. Overview The ''defect'', or the problem to be solved, is shown as the fish's head, facing to the right, with the ''causes'' extending to the left as fishbones; the ribs branch off the backbone for major causes, with sub-branches for root-causes, to as many levels as required. Ishikawa diagrams were popularized in the 1960s by Kaoru Ishikawa, who pioneered quality management processes in the Kawasaki shipyards, and in the process became one of the founding fathers of modern manag ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Kamakura Period
The is a period of History of Japan, Japanese history that marks the governance by the Kamakura shogunate, officially established in 1192 in Kamakura, Kanagawa, Kamakura by the first ''shÅgun'' Minamoto no Yoritomo after the conclusion of the Genpei War, which saw the struggle between the Taira clan, Taira and Minamoto clan, Minamoto clans. The period is known for the emergence of the samurai, the warrior caste, and for the establishment of feudalism in Japan. There are various theories as to the year in which the Kamakura period and Kamakura shogunate began. In the past, the most popular theory was that the year was 1192, when Minamoto no Yoritomo was appointed . Later, the prevailing theory was that the year was 1185, when Yoritomo established the , which controlled military and police power in various regions, and the , which was in charge of tax collection and land administration. Japanese history textbooks as of 2016 do not specify a specific year for the beginning of the K ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Operations Research
Operations research () (U.S. Air Force Specialty Code: Operations Analysis), often shortened to the initialism OR, is a branch of applied mathematics that deals with the development and application of analytical methods to improve management and decision-making. Although the term management science is sometimes used similarly, the two fields differ in their scope and emphasis. Employing techniques from other mathematical sciences, such as mathematical model, modeling, statistics, and mathematical optimization, optimization, operations research arrives at optimal or near-optimal solutions to decision-making problems. Because of its emphasis on practical applications, operations research has overlapped with many other disciplines, notably industrial engineering. Operations research is often concerned with determining the extreme values of some real-world objective: the Maxima and minima, maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost). Originating in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Multivariate Analysis
Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., '' multivariate random variables''. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they relate to each other. The practical application of multivariate statistics to a particular problem may involve several types of univariate and multivariate analyses in order to understand the relationships between variables and their relevance to the problem being studied. In addition, multivariate statistics is concerned with multivariate probability distributions, in terms of both :*how these can be used to represent the distributions of observed data; :*how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis. Certain types of problems involving multivariate da ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Design Of Experiments
The design of experiments (DOE), also known as experiment design or experimental design, is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation. The term is generally associated with experiments in which the design introduces conditions that directly affect the variation, but may also refer to the design of quasi-experiments, in which natural conditions that influence the variation are selected for observation. In its simplest form, an experiment aims at predicting the outcome by introducing a change of the preconditions, which is represented by one or more independent variables, also referred to as "input variables" or "predictor variables." The change in one or more independent variables is generally hypothesized to result in a change in one or more dependent variables, also referred to as "output variables" or "response variables." The experimental design may also identify ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Statistical Hypothesis Testing
A statistical hypothesis test is a method of statistical inference used to decide whether the data provide sufficient evidence to reject a particular hypothesis. A statistical hypothesis test typically involves a calculation of a test statistic. Then a decision is made, either by comparing the test statistic to a Critical value (statistics), critical value or equivalently by evaluating a p-value, ''p''-value computed from the test statistic. Roughly 100 list of statistical tests, specialized statistical tests are in use and noteworthy. History While hypothesis testing was popularized early in the 20th century, early forms were used in the 1700s. The first use is credited to John Arbuthnot (1710), followed by Pierre-Simon Laplace (1770s), in analyzing the human sex ratio at birth; see . Choice of null hypothesis Paul Meehl has argued that the epistemological importance of the choice of null hypothesis has gone largely unacknowledged. When the null hypothesis is predicted by the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Acceptance Sampling
Acceptance sampling uses statistical sampling to determine whether to accept or reject a production lot of material. It has been a common quality control technique used in industry. It is usually done as products leave the factory, or in some cases even within the factory. Most often a producer supplies a consumer with several items and a decision to accept or reject the items is made by determining the number of defective items in a sample from the lot. The lot is accepted if the number of defects falls below where the acceptance number or otherwise the lot is rejected. In general, acceptance sampling is employed when one or several of the following hold: * testing is destructive; * the cost of 100% inspection is very high; and * 100% inspection takes too long. A wide variety of acceptance sampling plans is available. For example, multiple sampling plans use more than two samples to reach a conclusion. A shorter examination period and smaller sample sizes are features of t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Survey Sampling
In statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey. The term " survey" may refer to many different types or techniques of observation. In survey sampling it most often involves a questionnaire used to measure the characteristics and/or attitudes of people. Different ways of contacting members of a sample once they have been selected is the subject of survey data collection. The purpose of sampling is to reduce the cost and/or the amount of work that it would take to survey the entire target population. A survey that measures the entire target population is called a census. A sample refers to a group or section of a population from which information is to be obtained. Survey samples can be broadly divided into two types: probability samples and super samples. Probability-based samples implement a sampling plan with specified probabilities (perhaps adapted probabilities specified by an adaptive proc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
A Guide To The Project Management Body Of Knowledge
The Project Management Body of Knowledge (PMBOK) is a set of standard terminology and guidelines (a body of knowledge) for project management. The body of knowledge evolves over time and is presented in ''A Guide to the Project Management Body of Knowledge'' (''PMBOK Guide''), a book whose seventh edition was released in 2021. This document results from work overseen by the Project Management Institute (PMI), which offers the CAPM and PMP certifications. Much of the ''PMBOK Guide'' is unique to project management such as critical path method and work breakdown structure (WBS). The ''PMBOK Guide'' also overlaps with general management regarding planning, organising, staffing, executing and controlling the operations of an organisation. Other management disciplines which overlap with the ''PMBOK Guide'' include financial forecasting, organisational behaviour, management science, budgeting and other planning methods. History Earlier versions of the ''PMBOK Guide'' were recogni ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Project Management Institute
The Project Management Institute (PMI, legally Project Management Institute, Inc.) is a U.S.-based not-for-profit professional organization for project management. Overview PMI serves more than five million professionals including over 680,000 members in 217 countries and territories around the world, with 304 chapters and 14,000 volunteers serving local members in over 180 countries. Its services include the development of standards, research, education, publication, networking opportunities in local chapters, hosting conferences and training seminars, and providing accreditation in project management. PMI has recruited volunteers to create industry standards, such as " A Guide to the Project Management Body of Knowledge", which has been recognized by the American National Standards Institute (ANSI). In 2012, ISO adapted the project management processes from the ''PMBOK Guide'' 4th edition. History In the 1960s, project management as such began to be used in the US aero ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Quality Control
Quality control (QC) is a process by which entities review the quality of all factors involved in production. ISO 9000 defines quality control as "a part of quality management focused on fulfilling quality requirements". This approach places emphasis on three aspects (enshrined in standards such as ISO 9001): # Elements such as controls, job management, defined and well managed processes, performance and integrity criteria, and identification of records # Competence, such as knowledge, skills, experience, and qualifications # Soft elements, such as personnel, integrity, confidence, organizational culture, motivation, team spirit, and quality relationships. Inspection is a major component of quality control, where physical product is examined visually (or the end results of a service are analyzed). Product inspectors will be provided with lists and descriptions of unacceptable product defects such as cracks or surface blemishes for example. History and introductio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Kaoru Ishikawa
was a Japanese organizational theorist and a professor in the engineering faculty at the University of Tokyo who was noted for his quality management innovations. He is considered a key figure in the development of quality initiatives in Japan, particularly the quality circle. He is best known outside Japan for the Ishikawa or cause and effect diagram (also known as the fishbone diagram), often used in the analysis of industrial processes. Biography Kaoru Ishikawa was born in Tokyo, the eldest of the eight sons of Ichiro Ishikawa. In 1937, he graduated from the University of Tokyo with an engineering degree in applied chemistry. After college, he worked as a naval technical officer from 1939 to 1941. From 1941 to 1947, Ishikawa worked at the Nissan Liquid Fuel Company. In 1947, Ishikawa started his academic career as an associate professor at the University of Tokyo. He undertook the presidency of the Musashi Institute of Technology in 1978. In 1949, Ishikawa joined the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
