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BOOKS OF RtfiDIfGS - PAHO/WHO

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- 313 -<br />

analytical approximalions were derived for Poisson usage, relating the number of<br />

retention units in each shipment to the resultant utilization rates with the desired<br />

inventory level as a parameter.<br />

This rclationship is illustrated for a fixed utilization rate of 98% by the family of<br />

broken lines in Figure 2 where the scheduling factor P is the fraction of mean daily<br />

usage that is replaced by retention shipments. As an example, if a HBB's mean daily<br />

usage for a given blood product is 1.5, thecn the HBB can achicve a utilization rate of<br />

98% by any of the lollowing combinations: desired inventory 1= 1 and P =0.89, or<br />

1=3 and P =0.82, or 1=5 and P =0.70.<br />

0.9<br />

a: 0 7<br />

FIGURE 2. Utilization Rale Model.<br />

/<br />

- / CALCULATED<br />

L0. / I ¡ 3 /OPTIMAL<br />

I 0.ó r I / ,--- I=S<br />

FEASIBLE<br />

.(/) Y I / SOLUTIONS<br />

: 1INVENTORY<br />

LEVEL<br />

0.5 I I I<br />

0.5 1.0 1.5 2.0 2.5<br />

MEAN DAILY USAGE, U<br />

It was shown thatthis stocking procedure maintains the mean inveqtory close to<br />

this desired inventory level most of the time. It was also shown that adding additional<br />

stages of returns and redistribution would make only slight improvements in the<br />

availability rate and utilization rate achieved. Since multiple redistributions introduce<br />

severe logistical problems and significant transportation costs, distribution<br />

strategies involving more than two stages of distribution were not investigated.<br />

Properties of desirable regional allocation strategies<br />

Having derived models enabling us to predict the availability and utilization<br />

rates of a HBB fc- any rotation/retention policy implemented by the RBC, the<br />

regional allocation problem was examined. It was assumed that some fixed penalty<br />

costs were associated with every nonavailable unit and every nonutilized unit, and<br />

the objective was to determine the distribution policy parameters so as to minimize<br />

the total expected regional cost.<br />

INTERFACES November 1979

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