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12: The Life Breath of a Podcast: RSS 2.0 with Enclosures. . . . . . . . . . . . . . . . . . . . . . . . . . . 235

With this step, we nally get to the point where a speci c metric level or amount, or a text description, is agreed on. A target measure level or amount should pass the test of If we were doing well in accomplishing the associated strategic objective, this would be the level or amount of this metric.

(6.7)

The following exercise shows you how you can customize even a two-button device. Because you may be working on someone else s computer, the exercise undoes the customization at the end.

There are two alternative approaches for computing activity costs and the costs of cost objects, such as products The two approaches differ based on which data one prefers to collect or calculate, and on how an organization prefers to use feedback data to control its costs The two approaches are as follows: 1 Activity driver equations First, activity costs are derived (via surveys, timesheets, estimates, etc) Then the quantity, frequency, or intensity of the activity driver is collected per each activity A unit cost rate per each activity driver is computed and then applied to all of the cost objects, based on their unique quantity of the activity driver events (eg, number of invoices processed) This is recalculated for each time period for each work activity 2 Cost object equations This approach begins with an in-depth time measurement study of work tasks and processes.

TABLE 4.3. Amount of Cooperating Planners in the Netherlands and Indonesia Number of Planners in the Netherlands Staff scheduling Production planning Transportation planning 6 6 6 Number of Planners in Indonesia 5 5 6

In proceeding from equation (3.5) to (3.6), we notice that the integrals hAA wA 1 heff 1 wA 1 dt1 e eA hBB wB 1 heff 1 wB 1 dt1 e eB 3X7

In the study, the perunit time elements for various (and optional) processing steps for each product (or product group) and each type of order are surveyed with deep time studies Then each product and type of order is pro led with an equation specifying the sum of the number of transactions (eg, events) for each product or type of order Finally, the quantity of the products and order types is counted for the period and back- ushed against each product s or order s standard minutes-per-event to calculate an activity cost This activity cost assumes the standard rate and is not the actual activity cost The premise that this assumption is acceptable is that micromeasured activities do not vary much over time What drives requirements for expenses is the varying mix and volume of products and type of orders.

this example, all text between any <h1> and </h1> tags on the page will be affected.)

(4.115)

Figure 12C displays where these two approaches are located with respect to the ABM cost assignment network and how they differ The activity driver equation approach solves for cost of the cost objects by measuring or estimating activity costs and tracing them per events (ie, activity driver quantities) In contrast, the cost object equation approach begins with product and order type pro les, collects volume and mix data, and then solves for the activity costs, assuming the standard times are correct and incurred It starts with a low level of characteristics of the cost object This approach appears to reversecalculate to determine the activity costs..