Download Logistics Systems Analysis by Carlos F. Daganzo PDF
By Carlos F. Daganzo
"… a good dependent and documented ebook that definitely displays the hot period of logistics." magazine of the Operational study Society (of a prior edition)
Expanded variation comprises new study effects and various adjustments to reinforce comprehensiveness and readability.
Two new sections, a brand new appendix, and greater than part a dozen new figures.
Provides new idea for an built-in exam of logistics systems
Features "reasonable" recommendations requiring as little info as possible
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Additional info for Logistics Systems Analysis
Sample text
Rarely used in the inventory and queueing literature, cumulative count curves such as those depicted in Fig. 1 are particularly useful to trace items through consecutive stages. In our case, they conveniently describe ( i) Production (iii) Arr ivals (/) ~ LU I- u.. 0 a:: LU ID ::!! => z w > I- « --1 => => ::!! 1. Cumulative item counts at different stages in the logistics operation 21 Cost in one picture how the number of items in various, logistic states (waiting for transportation, being transported, and waiting for consumption) change with time.
Since there is no need to seek the most accurate estimate of the optimum, there may be little use for highly detailed data. Detailed data may get in the way of the optimization, actually hindering the search for an optimum. Thus, we advocate a two-step solution approach to logistics problems: the first (analytical) step involves little detail and yields broad solution concepts; the second (or fine tuning) step leads to specific solutions, consistent with the ideals revealed by the first -- it uses all the relevant detailed information.
They exhibit jumps as in Fig. 3, then the lower envelope does not necessarily give the least possible cost. In this case, lower costs for any shipment size may be achieved by breaking up the shipment in parts and shipping each part by a different mode. 4). If the shipper operates its own vehicle fleet, the curves of Fig. 5 could represent different vehicle types, and the figure would then indicate the most economical vehicle type for the particular shipment size. e. modes), shippers do not change the vehicle fleet often.