Default look of the Units list:
This is one of the basic reference data lists, which contain all units you work with. These units are used to measure jobs you perform. For example, translators use words, hours, pages as measure units.
When a new Unit is added, you specify the following attributes:
Name. This is the name of the unit displayed throughout the app and printed in documents. Examples: ‘words’, ‘hours’, ‘pages’.
General adjustment factor. Default value for this field is 1. It is used to 'correct' volumes when generating charts, to make it possible to include quantities in different units into a single chart. For example, you do jobs counted by Hours or by Words. It is common that one hour approximately corresponds to 500 words. In this case, you can specify this adjustment factor for Hours and it will be possible to incorporate jobs measured in words and hours in a single
Example: 5000 words + 2 hours will give the result of 6000 units (5000 + 2x500 = 6000).
Flat rate. You can check this setting when the unit supposes to enter final amount in the job task instead of its calculation using "Price x Quantity" formula. When this option is used, you enter corresponding volume in the Quantity field (for statistical purposes), Price field becomes un-editable, and then you enter fixed amount in the Amount column.
Is time. This checkbox allows to specify that current unit is used to count time. Otherwise, this unit is used to measure volume. It affects on price list generation - BaccS will apply fuzzy factors only to those units which are used to count volumes, not time.
When editing a unit, you can specify adjustment factors by work types. Here is an example of the Words unit:
As you can see, it is possible to apply another adjustment factor for Translation and Proofreading work types. This will influence on the mechanism of weighted volume counting. We know that proofreading of the same word count is 3 times faster than translation. Detailed adjustment factors allow to help the program to correctly estimate job volumes and correctly build stats data and predict work time for the newly created jobs.
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