Glossary
Glossary | |
| Terms that are on use on this site. | |
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| There are 10 entries in the glossary. | |
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| Term | Definition |
| 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 |
| Knowledge Base | A logical collection of information in a particular domain that has been formalized in the appropriate representation with which to perform reasoning. A dynamic knowledge base is used to store information relevant to solving a particular problem and varies from one problem solving session to the next |
| Knowledge Base Management System | Pro active, event driven, rule based |
| Knowledge Management | The leveraging of collective wisdom to increase responsiveness and innovation |
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