Value Recovery From The Reverse Logistics Pipeline by David Diener

By David Diener

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Sample text

The first objective is to establish a set of baseline metrics that can be used to communicate historical performance and future goals. Then as improvement efforts are initiated, one can use these metrics to objectively assess the success of specific improvements, as well as improvement over time. In this chapter we first provide some observations on data processing, then provide some overall descriptive statistics of the Army RL system, and then conclude with RL metrics and the Army’s historical performance using FY00 as a baseline.

19 A significant time savings is potentially possible here. As will be seen later in the report, the FSB-to-DOL transit times tend to be much shorter than the sum of FSB-to-MSB and MSB-to-DOL transit times. 20 Large numbers of turn-ins at one time may indicate that the unit is “batching” or collecting items before turning them in. This unnecessarily delays the RL process and should be avoided at the unit level. S. Department of Defense (DoD) agency that provides worldwide logistics support for the military, certain federal agencies, foreign governments, international organizations, and others as authorized.

How well the process is done. The first objective is to establish a set of baseline metrics that can be used to communicate historical performance and future goals. Then as improvement efforts are initiated, one can use these metrics to objectively assess the success of specific improvements, as well as improvement over time. In this chapter we first provide some observations on data processing, then provide some overall descriptive statistics of the Army RL system, and then conclude with RL metrics and the Army’s historical performance using FY00 as a baseline.

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Value Recovery From The Reverse Logistics Pipeline by David Diener
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