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Stochastic Project Networks - Temporal Analysis, Scheduling and Cost Minimization (Paperback, 1990 ed.) Loot Price: R1,541
Discovery Miles 15 410
Stochastic Project Networks - Temporal Analysis, Scheduling and Cost Minimization (Paperback, 1990 ed.): Klaus Neumann

Stochastic Project Networks - Temporal Analysis, Scheduling and Cost Minimization (Paperback, 1990 ed.)

Klaus Neumann

Series: Lecture Notes in Economics and Mathematical Systems, 344

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Loot Price R1,541 Discovery Miles 15 410 | Repayment Terms: R144 pm x 12*

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Project planning, scheduling, and control are regularly used in business and the service sector of an economy to accomplish outcomes with limited resources under critical time constraints. To aid in solving these problems, network-based planning methods have been developed that now exist in a wide variety of forms, cf. Elmaghraby (1977) and Moder et al. (1983). The so-called "classical" project networks, which are used in the network techniques CPM and PERT and which represent acyclic weighted directed graphs, are able to describe only projects whose evolution in time is uniquely specified in advance. Here every event of the project is realized exactly once during a single project execution and it is not possible to return to activities previously carried out (that is, no feedback is permitted). Many practical projects, however, do not meet those conditions. Consider, for example, a production process where some parts produced by a machine may be poorly manufactured. If an inspection shows that a part does not conform to certain specifications, it must be repaired or replaced by a new item. This means that we have to return to a preceding stage of the production process. In other words, there is feedback. Note that the result of the inspection is that a certain percentage of the parts tested do not conform. That is, there is a positive probability (strictly less than 1) that any part is defective.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Economics and Mathematical Systems, 344
Release date: July 1990
First published: July 1990
Authors: Klaus Neumann
Dimensions: 242 x 170 x 13mm (L x W x T)
Format: Paperback
Pages: 237
Edition: 1990 ed.
ISBN-13: 978-3-540-52664-3
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN: 3-540-52664-1
Barcode: 9783540526643

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