By Gianpaolo Ghiani
With a view to have a short reference ebook wealthy in logistic quantitative tools, then this booklet a good selection. it truly is concise a simple to learn.
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Additional info for Introduction to logistics systems planning and control
Sample text
Although the demand pattern is discrete we use a continuous graph representation. This convention will be used throughout the book. product diversification is high). When dealing with such items, two alternatives should be explored. If demand is low, accuracy is not usually a key issue and an overestimate can be used (this could lead, for example, to a higher safety stock). As an alternative, the processes of the supply chain (namely, manufacturing and transportation) could be made more flexible in order to obtain a quick response.
T , the seasonal effect and the random fluctuation. This can be done by observing that the average value of the demand over M consecutive time periods is not affected by the seasonal fluctuations. Furthermore, by so doing we also remarkably reduce the influence of the random fluctuations, especially if M is relatively high (see also the next section). Therefore, the computation of the following quantities, d1 + · · · + dM , M d2 + · · · + dM+1 , M .. dT −M+1 + · · · + dT , M allows us to determine a series of demand entries without the seasonal and residual effects.
T , the seasonal effect and the random fluctuation. This can be done by observing that the average value of the demand over M consecutive time periods is not affected by the seasonal fluctuations. Furthermore, by so doing we also remarkably reduce the influence of the random fluctuations, especially if M is relatively high (see also the next section). Therefore, the computation of the following quantities, d1 + · · · + dM , M d2 + · · · + dM+1 , M .. dT −M+1 + · · · + dT , M allows us to determine a series of demand entries without the seasonal and residual effects.
