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Dynamic and stochastic multi-project...

Melchiors, Philipp.

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Dynamic and stochastic multi-project planning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Dynamic and stochastic multi-project planning/ by Philipp Melchiors.
Author:	Melchiors, Philipp.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xv, 204 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Problem Statements -- 3. Literature Review -- 4. Continuous-time Markov Decision Processes -- 5. Generation of Problem Instances -- 6. Scheduling Using Priority Policies -- 7. Optimal and Near Optimal Scheduling Policies -- 8. Integrated Dynamic Order Acceptance and Capacity Planning -- 9. Conclusions and Future Work.
Contained By:	Springer eBooks
Subject:	Project management. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-04540-5
ISBN:	9783319045405 (electronic bk.)

Dynamic and stochastic multi-project planning
Melchiors, Philipp.

Dynamic and stochastic multi-project planning[electronic resource] /by Philipp Melchiors. - Cham :Springer International Publishing :2015. - xv, 204 p. :ill., digital ;24 cm. - Lecture notes in economics and mathematical systems,6730075-8442 ;. - Lecture notes in economics and mathematical systems ;655..

1. Introduction -- 2. Problem Statements -- 3. Literature Review -- 4. Continuous-time Markov Decision Processes -- 5. Generation of Problem Instances -- 6. Scheduling Using Priority Policies -- 7. Optimal and Near Optimal Scheduling Policies -- 8. Integrated Dynamic Order Acceptance and Capacity Planning -- 9. Conclusions and Future Work.

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.

ISBN: 9783319045405 (electronic bk.)

Standard No.: 10.1007/978-3-319-04540-5doiSubjects--Topical Terms:

578186
Project management.

LC Class. No.: HD69.P75

Dewey Class. No.: 658.4

Dynamic and stochastic multi-project planning
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245 1 0 $a Dynamic and stochastic multi-project planning $h [electronic resource] / $c by Philipp Melchiors.
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490 1 $a Lecture notes in economics and mathematical systems, $x 0075-8442 ; $v 673
505 0 $a 1. Introduction -- 2. Problem Statements -- 3. Literature Review -- 4. Continuous-time Markov Decision Processes -- 5. Generation of Problem Instances -- 6. Scheduling Using Priority Policies -- 7. Optimal and Near Optimal Scheduling Policies -- 8. Integrated Dynamic Order Acceptance and Capacity Planning -- 9. Conclusions and Future Work.
520 $a 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.
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