Stochastic Project Networks

Stochastic Project Networks PDF Author: Klaus Neumann
Publisher: Springer Science & Business Media
ISBN: 3642615155
Category : Mathematics
Languages : en
Pages : 250

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Book 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.

Stochastic Project Networks

Stochastic Project Networks PDF Author: Klaus Neumann
Publisher: Springer Science & Business Media
ISBN: 3642615155
Category : Mathematics
Languages : en
Pages : 250

Get Book Here

Book 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.

Stochastic Project Networks

Stochastic Project Networks PDF Author:
Publisher:
ISBN: 9780387526645
Category : Network analysis (Planning)
Languages : en
Pages : 237

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Book Description


Stochastic Project Management Networks

Stochastic Project Management Networks PDF Author: Michael David Bird
Publisher:
ISBN:
Category :
Languages : en
Pages : 392

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Book Description


Analytic Solution of Stochastic Project Management Networks by the Method of Polygonal Approximation

Analytic Solution of Stochastic Project Management Networks by the Method of Polygonal Approximation PDF Author: Frederick Peter Lawrence
Publisher:
ISBN:
Category : Project management
Languages : en
Pages : 940

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Book Description


Dynamic and Stochastic Multi-Project Planning

Dynamic and Stochastic Multi-Project Planning PDF Author: Philipp Melchiors
Publisher: Springer
ISBN: 3319045407
Category : Business & Economics
Languages : en
Pages : 216

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Book Description
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.

A Stochastic Analysis of Project Management Networks

A Stochastic Analysis of Project Management Networks PDF Author: Prem Kumar Sehgal
Publisher:
ISBN:
Category :
Languages : en
Pages : 385

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Book Description
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.

Network Traffic Engineering

Network Traffic Engineering PDF Author: Andrea Baiocchi
Publisher: John Wiley & Sons
ISBN: 1119632439
Category : Technology & Engineering
Languages : en
Pages : 816

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Book Description
A comprehensive guide to the concepts and applications of queuing theory and traffic theory Network Traffic Engineering: Models and Applications provides an advanced level queuing theory guide for students with a strong mathematical background who are interested in analytic modeling and performance assessment of communication networks. The text begins with the basics of queueing theory before moving on to more advanced levels. The topics covered in the book are derived from the most cutting-edge research, project development, teaching activity, and discussions on the subject. They include applications of queuing and traffic theory in: LTE networks Wi-Fi networks Ad-hoc networks Automated vehicles Congestion control on the Internet The distinguished author seeks to show how insight into practical and real-world problems can be gained by means of quantitative modeling. Perfect for graduate students of computer engineering, computer science, telecommunication engineering, and electrical engineering, Network Traffic Engineering offers a supremely practical approach to a rapidly developing field of study and industry.

Stochastic Network Models in Innovative Projecting

Stochastic Network Models in Innovative Projecting PDF Author: D. Golenko-Ginzburg
Publisher:
ISBN: 9781621740469
Category :
Languages : en
Pages :

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Book Description
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".

Project Management Techniques and Innovations in Information Technology

Project Management Techniques and Innovations in Information Technology PDF Author: Wang, John
Publisher: IGI Global
ISBN: 1466609311
Category : Business & Economics
Languages : en
Pages : 405

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Book Description
"This book presents the latest research, case studies, best practices, and methodologies within the field of IT project management, offering research from top experts around the world in a variety of IT project management applications and job sectors"--Provided by publisher.

Stochastic Network Models in Innovative Projecting: Alternative stochastic network projects

Stochastic Network Models in Innovative Projecting: Alternative stochastic network projects PDF Author: Dmitriĭ Isaakovich Golenko
Publisher:
ISBN: 9781621740902
Category : Queuing theory
Languages : en
Pages : 0

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Book Description
The book presents a unification of the most essential models to monitor stochastic network projects of innovative nature. The book comprises various control models for different kinds of projects with stochastic structure, including constrained project scheduling models with various resource delivery schedules. The backbone of the monograph centers on single-level and hierarchical alternative stochastic network models. 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".