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Stochastic Project Networks
Author: Klaus Neumann
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 250
ISBN-13: 3642615155
DOWNLOAD EBOOK →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.
Efficiency of the Antithetic Variate Method for Simulating Stochastic Project Networks
Dynamic and Stochastic Multi-Project Planning
Author: Philipp Melchiors
Publisher: Springer
Published: 2015-04-24
Total Pages: 216
ISBN-13: 3319045407
DOWNLOAD EBOOK →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.
Advances in Project Scheduling
Author: R. Slowinski
Publisher: Elsevier
Published: 2013-10-22
Total Pages: 540
ISBN-13: 1483290727
DOWNLOAD EBOOK →This multi-author volume, containing contributions from international experts in the field, presents recent developments in project scheduling for both theory and practice. It is organized in three parts: I. Basic deterministic models; II. Special deterministic models; III. Stochastic models. A variety of approaches is presented dealing with multiple-category resource constraints, different mathematical models of activities, and various project performance measures in single and multiobjective formulation. Exact and heuristic algorithms are presented for both deterministic and stochastic project description.The volume will be of special interest to scientists, students, decision makers, executive managers, consultants and practitioners involved in systems management or operations research, in particular in business, engineering, and finance, but also in other areas of pure and applied sciences.
Deterministic and Stochastic Scheduling
Author: M.A. Dempster
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 418
ISBN-13: 9400978014
DOWNLOAD EBOOK →This volume contains the proceedings of an Advanced Study and Re search Institute on Theoretical Approaches to Scheduling Problems. The Institute was held in Durham, England, from July 6 to July 17, 1981. It was attended by 91 participants from fifteen different countries. The format of the Institute was somewhat unusual. The first eight of the ten available days were devoted to an Advanced Study Insti tute, with lectures on the state of the art with respect to deter ministic and stochastic scheduling models and on the interface between these two approaches. The last two days were occupied by an Advanced Research Institute, where recent results and promising directions for future research, especially in the interface area, were discussed. Altogether, 37 lectures were delivered by 24 lecturers. They have all contributed to these proceedings, the first part of which deals with the Advanced Study Institute and the second part of which covers the Advanced Research Institute. Each part is preceded by an introduction, written by the editors. While confessing to a natural bias as organizers, we believe that the Institute has been a rewarding and enjoyable event for everyone concerned. We are very grateful to all those who have contributed to its realization.
Stochastic Network Models in Innovative Projecting
Author: D. Golenko-Ginzburg
Publisher:
Published: 2014-01-31
Total Pages:
ISBN-13: 9781621740469
DOWNLOAD EBOOK →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".
Stochastic Network Models in Innovative Projecting: Alternative stochastic network projects
Author: Dmitriĭ Isaakovich Golenko
Publisher:
Published: 2014
Total Pages: 0
ISBN-13: 9781621740902
DOWNLOAD EBOOK →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".
Computational Discrete Mathematics
Author: Helmut Alt
Publisher: Springer
Published: 2003-06-30
Total Pages: 180
ISBN-13: 354045506X
DOWNLOAD EBOOK →This book is based on a graduate education program on computational discrete mathematics run for several years in Berlin, Germany, as a joint effort of theoretical computer scientists and mathematicians in order to support doctoral students and advanced ongoing education in the field of discrete mathematics and algorithmics. The 12 selected lectures by leading researchers presented in this book provide recent research results and advanced topics in a coherent and consolidated way. Among the areas covered are combinatorics, graph theory, coding theory, discrete and computational geometry, optimization, and algorithmic aspects of algebra.
Stochastic Algorithms: Foundations and Applications
Author: Osamu Watanabe
Publisher: Springer Science & Business Media
Published: 2009-10-05
Total Pages: 230
ISBN-13: 3642049435
DOWNLOAD EBOOK →The 5th Symposium on Stochastic Algorithms, Foundations and Applications (SAGA 2009) took place during October 26–28, 2009, at Hokkaido University, Sapporo(Japan).ThesymposiumwasorganizedbytheDivisionofComputerS- ence,GraduateSchoolofComputerScienceandTechnology,HokkaidoUniversity. It o?ered the opportunity to present original research on the design and analysis of randomized algorithms, random combinatorialstructures, implem- tation, experimental evaluation and real-world application of stochastic al- rithms/heuristics. In particular, the focus of the SAGA symposia series is on investigating the power of randomization in algorithms, and on the theory of stochastic processes especially within realistic scenarios and applications. Thus, the scope ofthe symposiumrangesfromthe study oftheoreticalfundamentals of randomizedcomputationtoexperimentalinvestigationsonalgorithms/heuristics and related stochastic processes. The SAGA symposium series is a biennial meeting. Previous SAGA s- posiatookplaceinBerlin,Germany(2001,LNCSvol.2264),Hat?eld,UK(2003, LNCS vol. 2827), Moscow, Russia (2005, LNCS vol. 3777), and Zur ¨ ich, Switz- land (2007, LNCS vol. 4665). This year 22 submissions were received, and the Program Committee selected 15 submissions for presentation. All papers were evaluated by at least three members of the ProgramCommittee, partly with the assistance of subreferees. The present volume contains the texts of the 15 papers presented at SAGA 2009, divided into groups of papers on learning, graphs, testing, optimization, and caching as well as on stochastic algorithms in bioinformatics.
