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| There are 859 entries in the glossary. | |
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| Term | Definition |
| Hazard probability | The aggregate probability of occurrence of the individual events that create a specific hazard |
| Hazard severity | An assessment of the consequence of the worst credible mishap that could be caused by a specific hazard |
| Histogram | Is a bar chart showing a distribution of variables. An example would be to line up by height a group of people in a course. Normally one would be the tallest and one would be the shortest and there would be a cluster of people around an average height. Hence the phrase "normal distribution". This tool helps identify the cause of problems in a process by the shape of the distribution as well as the width of the distribution |
| Homogeneity Of Variance | The variances of the groups being contrasted are equal (as defined by statistical test of significant difference) |
| Hoshin kanri | Japanese term for hoshin planning, a form of interactive strategic planning which aids the flow of information up and down the organizational layers in a systematic, productive way |
| Hoshin planning | A method of strategic planning for quality. It helps executives integrate quality improvement into the organization's long-range plan/Or/Breakthrough planning. A Japanese strategic planning process in which a company develops up to four vision statements that indicate where the company should be in the next five years. Company goals and work plans are developed based on the vision statements. Periodic audits are then conducted to monitor progress |
| Imperfection | A quality characteristic’s departure from its intended level or state without any association to conformance to specification requirements or to the usability of a product or service (see also “blemish”, “defect”,and “nonconformity”). |
| In-control process | A process in which the statistical measure being evaluated is in a state of statistical control, i.e., the variations among the observed sampling results can be attributed to a constant system of chance causes (see also “out-of-control process”) |
| Independent Variable | A controlled variable; a variable whose value is independent of the value of another variable |
| Indicator Quantitative | Measure of performance. Indicators are usually ratios comparing the number of occurrences a certain phenomenon and the number of times the phenomenon could have occurred |
| Information | Ability of a team to have access to information, computers, financial figures, etc. Accountability-a scale which measures the level of accountability for a team's actions and results |
| Inputs | Products or services others provide to a process |
| Inspection | A manual testing technique in which program documents [specifications (requirements, design, source code or user's manuals are examined in a very formal and disciplined manner to discover errors, violations of standards and other problems. Checklists are a typical vehicle used in accomplishing this technique. See: static analysis, code audit, code inspection, code review, code walkthrough |
| Inspection Activities | Such as measuring, examining, testing, gaging one or more characteristics of a product or service, and comparing these with specified requirements to determine conformity |
| Instability | Unnaturally large fluctuations in a pattern |
| Installation and checkout phase | The period of time in the software life cycle during which a software product is integrated into its operational environment and tested in this environment to ensure that it performs as required |
| Instant pudding | A term used to illustrate an obstacle to achieving quality: the supposition that quality and productivity improvement is achieved quickly through an affirmation of faith rather than through sufficient effort and education. W. Edwards Deming used this term, which was initially coined by James Bakken of Ford Motor Co., in his book Out of the Crisis |
| Instruction | (1) (ANSI/IEEE) A program statement that causes a computer to perform a particular operation or set of operations. (2) (ISO) In a programming language, a meaningful expression that specifies one operation and identifies its operands, if any |
| Instruction set | (1) (IEEE) The complete set of instructions recognized by a given computer or provided by a given programming language. (2) (ISO) The set of the instructions of a computer, of a programming language, or of the programming languages in a programming system. See: computer instruction set |
| Instrumentation | The insertion of additional code into a program in order to collect information about program behavior during program execution. Useful for dynamic analysis techniques such as assertion checking, coverage analysis, tuning |
| Interaction | The tendency of two or more variables to produce an effect in combination which neither variable would produce if acting alone |
| Interface | (1)(ISO) A shared boundary between two functional units, defined by functional characteristics, common physical interconnection characteristics, signal characteristics, and other characteristics, as appropriate The concept involves the specification of the connection of two devices having different functions. (2) A point of communication between two or more processes, persons, or other physical entities. (3) A peripheral device which permits two or more devices to communicate |
| Interface analysis | Evaluation of: (1) software requirements specifications with hardware, user, operator, and software interface requirements documentation, (2) software design description records with hardware, operator, and software interface requirements specifications, (3) source code with hardware, operator, and software interface design documentation, for correctness, consistency, completeness, accuracy, and readability. Entities to evaluate include data items and control items |
| Interface requirement | A requirement that specifies an external item with which a system or system component must interact, or sets forth constraints on formats, timing, or other factors caused by such an interaction |
| Interim Approval Permits | Shipment of products for a specified time period or quantity |
| Internal customer | Someone within your organization, further downstream in a process, who receives the output of your work/Or/The recipient, person or department, of another person’s or department’s output (product, service, or information) within an organization (see also “external customer”) |
| Interrelations Digraph | Is a graphical representation of all the factors in a complicated problem, system, or situation. It is typically used in conjunction with one of the other quality tools, particularly the affinity diagram. Frequently the header cards from the affinity diagram are used as the starting point for the interrelations digraph |
| Interval | Numeric categories with equal units of measure but no absolute zero point, i.e., quality scale or index |
| Invalid inputs | 1 (NBS) Test data that lie outside the domain of the function the program represents. (2) These are not only inputs outside the valid range for data to be input, i.e., when the specified input range is 50 to 100, but also unexpected inputs, especially when these unexpected inputs may easily occur; e,g., the entry of alpha characters or special keyboard characters when only numeric data is valid, or the input of abnormal command sequences to a program |
| IQA | Institute of Quality Assurance |
| Ishikawa Diagram | A problem-solving tool that uses a graphic description of the various process elements to analyze potential sources of variation , or problems. [Same as Cause and Effect Diagram,,, or Fishbone Diagram] |
| Ishikawa, Kaoru | A pioneer in quality control activities in Japan. In 1943, he developed the cause-and-effect diagram. Ishikawa, an ASQ Honorary member, published many works, including What is Total Quality Control?, The Japanese Way, Quality Control Circles at Work, and Guide to Quality Control. He was a member of the quality control research group of the Union of Japanese Scientists and Engineers while also working as an assistant professor at the University of Tokyo |
| ISIR | Initial Sample Inspection Report |
| ISO | International Organization for Standardization |
| ISO 9000 series standards | A set of five individual but related international standards on quality management and quality assurance developed to help companies effectively document the quality system elements to be implemented to maintain an efficient quality system. The standards, initially published in 1987, are not specific to any particular industry, product, or service. The standards were developed by the International Organization for Standardization (ISO), a specialized international agency for standardization composed of the national standards bodies of 91 countries |
| JCL | job control language |
| JIT | Just-In-Time: An inventory control system where components/products and services are delivered to the customer only when needed |
| Job control language | A language used to identify a sequence of jobs, describe their requirements to an operating system, and control their execution |
| Juran, Joseph M. | One of the great quality gurus, and, like Deming, an early student of the work of Walter Shewhart at Western Electric. His work has specialized in linking management to quality engineering. Dr. Juran is the founder of the Juran Institute which has long been the vehicle of his work in quality management and is well-known for espousing "the quality trilogy" of quality planning, quality control, and quality improvement. Juran has authored many books and other works in an effort to spread awareness of quality management ideas and applications |
| JUSE | Union of Japanese Scientists and Engineers |
| Just in time | A policy calling for the delivery of material, products or services at the time they are needed in an activity or process to reduce inventory, wait time and spoilage |
| Just-in-time instruction | Training given as needed for immediate application, without lag time and the usual loss of retention |
| Just-in-time manufacturing | An optimal material requirement planning system for a manufacturing process in which there is little or no manufacturing material inventory on hand at the manufacturing site and little or no incoming inspection |
| Kaizen | AJapanese term that means gradual unending improvement by doing little things better and setting and achieving increasingly higher standards. The term was made famous by Masaaki Imai in his book, Kaizen: The Key to Japan’s Competitive Success |
| Key Performance Indicators | KPI refers to the short list of measurable parameters that will indicate how well the business is doing at attaining its goals. In a manufacturing quality scenario, this may be the amount of scrap or rework that gets metered. In a service quality scenario, such as an insurance company, this may be the open inventory of unprocessed claims. In brand management, market share in itself and in comparison with competing brands is sure to be relevant. In logistics, on time deliveries, empty return loads, or missing items are candidate indicators |
| Key Principles Of Quality | The three guiding concepts for managing quality improvement are: Principle 1, Quality is defined as any product or service that satisfies customer specifications. Principle 2, the work standard is defect free. Principle 3, Quality is measured by the price of non quality (PONQ) |
| KJ method | Another name for the affinity diagram, after its inventor, Kawakita Jiro |
| KK | Koalaty Kid |
| Knowledge | (Explicit) Specific information about something/ (Implicit) The sum or range of what has been perceived, discovered, or learned |
| Knowledge Acquisition | The procedure in artificial intelligence of interacting with an external source, usually a domain expert, to find and organize knowledge for the purpose of transferring the knowledge to an expert system to solve problems |
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Glossary