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Overall labor effectiveness (OLE) is a key performance indicator (KPI) that measures the utilization, performance, and quality of the workforce and its impact on productivity. Similar to overall equipment effectiveness (OEE), OLE measures availability, performance, and quality.
KPI information boards. A performance indicator or key performance indicator (KPI) is a type of performance measurement. [1] KPIs evaluate the success of an organization or of a particular activity (such as projects, programs, products and other initiatives) in which it engages. [2]
For example, if a machine is planned to run 100 hours a week, but in reality runs only 50, then the availability is 50%. [3] Performance – compares the ideal output and the actual output. For example, if a certain process is planned to take 10 minutes, but actually takes 20, then the productivity is 50%. [3]
Techno-economic assessment or techno-economic analysis (abbreviated TEA) is a method of analyzing the economic performance of an industrial process, product, or service. . The methodology originates from earlier work on combining technical, economic and risk assessments for chemical production processes
Stock prices of 500 common stocks — Equity market returns are considered a leading indicator because changes in stock prices reflect investors' expectations for the future of the economy and interest rates.
The following is a list of publicly traded companies having the greatest market capitalization, sometimes described as their "market value": [1]. Market capitalization is calculated by multiplying the share price on a selected day and the number of outstanding shares on that day.
The 100% rule states that the WBS includes 100% of the work defined by the project scope and captures all deliverables – internal, external, interim – in terms of the work to be completed, including project management. The 100% rule is one of the most important principles guiding the development, decomposition, and evaluation of the WBS.
Software researchers and practitioners have been addressing the problems of effort estimation for software development projects since at least the 1960s; see, e.g., work by Farr [8] [9] and Nelson. [10] Most of the research has focused on the construction of formal software effort estimation models.