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Delivery schedule adherence (DSA) is a business metric used to calculate the timeliness of deliveries from suppliers. It is a commonly used supply chain metric and forms part of the Quality, Cost, Delivery group of performance indicators.
The ratings is used in conjunction with a timing study to level out actual time (observed time) taken by the worker under observation. This leads to a basic minute value (observed time/100*rating). This balances out fast and slow workers to get to a standard/average time. Standard at a 100 is not a percentage, it simply makes the calculations ...
Ready to begin low rate production. Detailed system design essentially complete and sufficiently stable to enter low rate production. All materials are available to meet planned low rate production schedule. Manufacturing and quality processes and procedures proven in a pilot line environment, under control and ready for low rate production.
Time tracking integrated with LiquidPlanner Analytics. Export to Microsoft Excel, Quickbooks, or in CSV format. Proprietary ManicTime: Microsoft Windows, Mac 2008 Automatic time tracking software, which tracks computer usage and stores all data locally. It allows users to track time spent on various projects and tasks.
In public transportation, schedule adherence or on-time performance refers to the level of success of the service (such as a bus or train) remaining on the published schedule. On time performance, sometimes referred to as on time running, is normally expressed as a percentage, with a higher percentage meaning more vehicles are on time.
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A lead time is the latency between the initiation and completion of a process. For example, the lead time between the placement of an order and delivery of new cars by a given manufacturer might be between 2 weeks and 6 months, depending on various particularities.
Sometimes the employee monitoring is incidental as the location is tracked for other purposes. [vague] Employees' phone calls can be recorded during monitoring. The number of calls, the duration of each call, and the idle time between calls, can all go into an automatic log for analysis by the company. [3