Description: Stochastic Project Networks by Klaus Neumann This book presents the temporal analysis and cost minimisation of projects, as well as project planning under limited resources where the projects are modelled by GERT networks. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book presents the state of the art of temporal analysis and cost minimization of projects, as well as project planning under limited resources where the projects are modelled by GERT networks. These projects are characterized by a stochastic evolution structure and possible feedback. The temporal analysis exploits the fact that Markov renewal processes can be associated with so-called EOR networks (special GERT networks all of whose nodes have exclusive-or entrance). For single-machine min-sum and min-max scheduling problems with EOR precedence constraints, two polynomial algorithms are presented. General min-sum problems are solved by dynamic programming. The cost minimization of projects modeled by EOR networks leads to Markov renewal decision processes and can be reduced to a stochastic dynamic programming problem. Basic concepts from the theory of graphs and networks, Markov renewal processes, deterministic scheduling, and dynamic programming are summarized. This makes the book self-contained. Notes This book presents the state of the art of temporal analysis and cost minimization of projects, as well as project planning under limited resources where the projects are modelled by GERT networks. Basic concepts are summarized and the book is self-contained. Author Biography Neumann is a historian who has taught in Universities in Germany and Australia. Table of Contents 1 Basic Concepts.- 1.1 Directed Graphs and Project Networks.- 1.2 GERT Networks.- 1.3 Assumptions and Structural Problems.- 1.4 Complete and GERT Subnetworks.- 2 Temporal Analysis of GERT Networks.- 2.1 Activation Functions and Activation Distributions.- 2.2 Evaluation of Admissible GERT Networks.- 2.3 Computation of Some Quantities Important to Time Planning.- 2.4 Evaluation Methods for Admissible GERT Networks.- 3 STEOR Networks and EOR Networks.- 3.1 Markov Chains and Markov Renewal Processes.- 3.2 STEOR Networks and Markov Renewal Processes.- 3.3 Basic Properties of Admissible EOR Networks.- 3.4 Coverings of Admissible EOR Networks.- 3.5 Properties and Computation of Activation Functions and Activation Numbers.- 3.6 The MRP Method.- 4 Reducible GERT Networks.- 4.1 STEOR—Reducible Subnetworks.- 4.2 Cycle Reduction.- 4.3 Nodes Which Belong Together.- 4.4 Basic Element Structures.- 4.5 BES Networks.- 4.6 Evaluation Methods for BES Networks and General Admissible GERT Networks.- 5 Scheduling with GERT Precedence Constraints.- 5.1 Deterministic Single—Machine Scheduling.- 5.2 Stochastic Single—Machine Scheduling with GERT Precedence Constraints: Basic Concepts.- 5.3 Stochastic Single—Machine Scheduling with GERT Precedence Constraints: Optimality Criteria and Complexity.- 5.4 List Schedules and Sequences of Activity Executions.- 5.5 Minimum Flow—Time Scheduling in FOR Networks.- 5.6 A Flow—Time Scheduling Example.- 5.7 Minimizing the Maximum Expected Lateness in FOR Networks.- 5.8 Essential Histories and Scheduling Policies for Min—Sum Problems in General GERT Networks.- 5.9 Elements of Dynamic Programming.- 5.10 Determination of an Optimal Scheduling Policy for the General Min—Sum Problem.- 6 Cost Minimization for STEOR and FOR Networks.- 6.1 STEORNetworks with Time—Dependent Arc Weights.- 6.2 Cost Minimization in STEOR Networks: Basic Concepts.- 6.3 A Dynamic Programming Approach.- 6.4 The Value—Iteration and Policy—Iteration Techniques.- 7 Cost and Time Minimization for Decision Project Networks.- 7.1 Decision Project Networks.- 7.2 Cost Minimization.- 7.3 Randomized Actions.- 7.4 Multiple Executions of Projects.- 7.5 Time Minimization.- References. Promotional Springer Book Archives Long Description 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. Description for Sales People This book presents the state of the art of temporal analysis and cost minimization of projects, as well as project planning under limited resources where the projects are modelled by GERT networks. Basic concepts are summarized and the book is self-contained. Details ISBN3540526641 Author Klaus Neumann Language English ISBN-10 3540526641 ISBN-13 9783540526643 Media Book Format Paperback Series Number 344 Year 1990 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Subtitle Temporal Analysis, Scheduling and Cost Minimization Place of Publication Berlin Country of Publication Germany Residence Waiheke Island, NZ Short Title STOCHASTIC PROJECT NETWORKS 19 DEWEY 658.1 Pages 237 Illustrations XI, 237 p. DOI 10.1007/b37912;10.1007/978-3-642-61515-3 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 1990 ed. Series Lecture Notes in Economics and Mathematical Systems Edition 1990th Publication Date 1990-07-10 Audience Postgraduate, Research & Scholarly We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96255976;
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ISBN-13: 9783540526643
Book Title: Stochastic Project Networks
Number of Pages: 237 Pages
Language: English
Publication Name: Stochastic Project Networks: Temporal Analysis, Scheduling and Cost Minimization
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Publication Year: 1990
Subject: Mathematics, Management
Item Height: 242 mm
Item Weight: 820 g
Type: Textbook
Author: Klaus Neumann
Subject Area: Organizational Sociology, Data Analysis
Item Width: 170 mm
Format: Paperback