Stochastic Project Networks
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Stochastic Project Networks
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Author : Klaus Neumann
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic Project Networks written by Klaus Neumann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
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.
Stochastic Project Management Networks
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Author : Michael David Bird
language : en
Publisher:
Release Date : 1991
Stochastic Project Management Networks written by Michael David Bird and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Critical Resource Allocation In Stochastic Project Networks
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Author : Patrick Vance Kauffold
language : en
Publisher:
Release Date : 1977
Critical Resource Allocation In Stochastic Project Networks written by Patrick Vance Kauffold and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Computer simulation categories.
Analysis Of Resource Constrained Stochastic Project Networks Using Discrete Event Simulation
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Author : Sucharith Vanguri
language : en
Publisher:
Release Date : 2005
Analysis Of Resource Constrained Stochastic Project Networks Using Discrete Event Simulation written by Sucharith Vanguri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Discrete-time systems categories.
Project management has become a key component for improving organizational performance and is applied in many business areas and industries. Resource-constrained stochastic project networks are quite common. Managing such projects to maximize resource utilization and reduce project duration simultaneously is difficult. Resource loading, assignment rules, and priorities significantly affect project performance, especially in shared-resource, multi-project environments. This thesis provides an approach for using discrete-event simulation to analyze the behavior and performance of project networks that use resource pools. A method to translate project networks into simulation models is developed. The translator is used to convert and evaluate a benchmark test set of resource constrained stochastic project networks. The effect of factors like project network complexity, resource availability and allocation strategies on project performance is analyzed using a completely randomized design with factorial arrangement of the aforementioned factors. The conversion process and results from the analysis are discussed.
Analysis Of Resource Constrained Stochastic Project Networks Using Discrete Event Simulation
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Author :
language : en
Publisher:
Release Date : 2004
Analysis Of Resource Constrained Stochastic Project Networks Using Discrete Event Simulation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Project management has become a key component for improving organizational performance and is applied in many business areas and industries. Resource-constrained stochastic project networks are quite common. Managing such projects to maximize resource utilization and reduce project duration simultaneously is difficult. Resource loading, assignment rules, and priorities significantly affect project performance, especially in shared-resource, multi-project environments. This thesis provides an approach for using discrete-event simulation to analyze the behavior and performance of project networks that use resource pools. A method to translate project networks into simulation models is developed. The translator is used to convert and evaluate a benchmark test set of resource constrained stochastic project networks. The effect of factors like project network complexity, resource availability and allocation strategies on project performance is analyzed using a completely randomized design with factorial arrangement of the aforementioned factors. The conversion process and results from the analysis are discussed.
On Stochastic Analysis Of Project Networks
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Author : Wolfgang Gaul
language : en
Publisher:
Release Date : 1981
On Stochastic Analysis Of Project Networks written by Wolfgang Gaul and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.
Efficiency Of The Antithetic Variate Method For Simulating Stochastic Project Networks
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Author : Robert S. Sullivan
language : en
Publisher:
Release Date : 1978
Efficiency Of The Antithetic Variate Method For Simulating Stochastic Project Networks written by Robert S. Sullivan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Monte Carlo method categories.
Stochastic Network Models In Innovative Projecting
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Author : D. Golenko-Ginzburg
language : en
Publisher:
Release Date : 2014-01-31
Stochastic Network Models In Innovative Projecting written by D. Golenko-Ginzburg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-31 with categories.
The book presents a unification of the most essential models to monitor stochastic network projects of innovative nature. The book comprises various on-line control models for different kinds of projects with fixed structure and constrained project scheduling models with various resource delivery schedules. The book is widely illustrated with examples. The monograph is intended for researchers in innovation-oriented design offices and companies, academic institutions as well as for graduate scholars specializing in "Project Management", "Industrial Engineering" and "Operations Research".
Analytic Solution Of Stochastic Project Management Networks By The Method Of Polygonal Approximation
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Author : Frederick Peter Lawrence
language : en
Publisher:
Release Date : 1994
Analytic Solution Of Stochastic Project Management Networks By The Method Of Polygonal Approximation written by Frederick Peter Lawrence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Project management categories.
Dynamic And Stochastic Multi Project Planning
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Author : Philipp Melchiors
language : en
Publisher: Springer
Release Date : 2015-04-24
Dynamic And Stochastic Multi Project Planning written by Philipp Melchiors and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-24 with Business & Economics categories.
This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book addresses two problems: detailed scheduling of project activities, and integrated order acceptance and capacity planning. In an extensive simulation study, the book thoroughly investigates existing scheduling policies. To obtain optimal and near optimal scheduling policies new models and algorithms are proposed based on the theory of Markov decision processes and Approximate Dynamic programming. Then the book presents a new model for the effective computation of optimal policies based on a Markov decision process. Finally, the book provides insights into the structure of optimal policies.