On Stochastic Analysis Of Project Networks

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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.

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.

A Stochastic Analysis Of Project Management Networks

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Author : Prem Kumar Sehgal
language : en
Publisher:
Release Date : 1978

A Stochastic Analysis Of Project Management Networks written by Prem Kumar Sehgal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.

The main objective of this thesis is the development of a system of techniques for management planning and the control of major project contracts. The present study treats the probabilistic aspects of planning and proposes an approach to analyse cost/time risk associated with capital project contracts. The techniques developed fall into two classifications: 1. Risk quantification (during planning). 2. Use of quantified risk and information theory in the prediction of the completion time and the cost of the project. The extensive literature relating to management Planning and control techniques is critically reviewed. Simulation models are developed to find the critical indices of activities, and the completion time distribution of the project. Effects of network structure and activity time distribution on critical indices and completion time distributions are investigated. Possible applications of these risk quantification techniques are described. A technique making use of networks and Monte Carlo simulation is suggested for the quantification of risk in project expenditure when activity times are uncertain. These expenditure curves can be used to predict the expenditure for future similar kinds of projects. The risk associated with the uncertainty of completion times is quantified by Monte Carlo simulation and used along with information theory to predict the completion date of a project. Similarly, an algorithm to predict the final cost of a project is proposed. Validation and implementation of developed techniques are discussed and compared with results obtained from analytical techniques for suitably simplified case studies.

Time Oriented Analysis Of Projects Using Stochastic Network Techniques

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Author : Wolfram Nicolai
language : en
Publisher:
Release Date : 1981

Time Oriented Analysis Of Projects Using Stochastic Network Techniques written by Wolfram Nicolai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Capital categories.

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.

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.

Time Oriented Analysis Of Projects Using Stochastic Network Terchniques

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Author : W. Nicolai
language : en
Publisher:
Release Date : 1981

Time Oriented Analysis Of Projects Using Stochastic Network Terchniques written by W. Nicolai 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.

Minimal Cost Stochastic Network Project Scheduling

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Author : M. M. Nkasu
language : en
Publisher:
Release Date : 1983

Minimal Cost Stochastic Network Project Scheduling written by M. M. Nkasu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with 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.

Fundamentals Of Stochastic Networks

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Author : Oliver C. Ibe
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-24

Fundamentals Of Stochastic Networks written by Oliver C. Ibe and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-24 with Mathematics categories.

An interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important in various areas where they have not regularly been used. Combining techniques from stochastic processes and graph theory to analyze the behavior of networks, Fundamentals of Stochastic Networks provides an interdisciplinary approach by including practical applications of these stochastic networks in various fields of study, from engineering and operations management to communications and the physical sciences. The author uniquely unites different types of stochastic, queueing, and graphical networks that are typically studied independently of each other. With balanced coverage, the book is organized into three succinct parts: Part I introduces basic concepts in probability and stochastic processes, with coverage on counting, Poisson, renewal, and Markov processes Part II addresses basic queueing theory, with a focus on Markovian queueing systems and also explores advanced queueing theory, queueing networks, and approximations of queueing networks Part III focuses on graphical models, presenting an introduction to graph theory along with Bayesian, Boolean, and random networks The author presents the material in a self-contained style that helps readers apply the presented methods and techniques to science and engineering applications. Numerous practical examples are also provided throughout, including all related mathematical details. Featuring basic results without heavy emphasis on proving theorems, Fundamentals of Stochastic Networks is a suitable book for courses on probability and stochastic networks, stochastic network calculus, and stochastic network optimization at the upper-undergraduate and graduate levels. The book also serves as a reference for researchers and network professionals who would like to learn more about the general principles of stochastic networks.