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E-raamat: Management Science, Operations Research and Project Management: Modelling, Evaluation, Scheduling, Monitoring

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 06-May-2016
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781317102007
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Management Science, Operations Research and Project Management: Modelling, Evaluation, Scheduling, MonitoringSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 06-May-2016
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781317102007
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Due to its societal and economic relevance, Project Management has become an important discipline and a concept critical to modern organizations, public and private. Operations Research gives the essential scientific contribution to the success of project management through the development of models and algorithms. This book deals with this topic.

Arvustused

The approach is a valuable addition to the body of knowledge dealing with the optimization of the project management topic using a clear, factual analysis. The delivery is analytic and engaging, demonstrating an in-depth knowledge which makes the book, by any measure, an effective tool that an educator would find useful for pedagogical purposes. The topic is timely, and the material is presented in a new innovative way that is accessible and useful to the reader. Maged Malek, University of North Florida, USA

List of Figures
vii
List of Tables
ix
Introduction 1(12)
1 Network Models
13(36)
Types of Network Representations
13(3)
Characteristics of Network Models
16(3)
Types of Networks
19(1)
Decision-CPM Model
20(9)
Generalized Network Model
29(1)
Decision Box Network
30(3)
Graphical Evaluation and Review Technique (GERT)
33(9)
Venture Evaluation and Review Technique (VERT)
42(2)
Generalized Alternative Activity Network Model (GAAN)
44(5)
2 Multi-Objective Decision-Making Models
49(24)
Linear Programming Formulation of the Time-Cost Trade-off Problem
49(5)
A Linear Time-Cost Trade-off Model to Find the Critical Path
54(2)
Fuzzy Linear Programming
56(7)
Goal Programming
63(4)
An Integer Programming Problem
67(6)
3 Multi-Criteria Decision-Making Models
73(28)
Multi-Attribute Utility Theory
73(10)
The VIKOR Method
83(2)
The TOPSIS Method
85(5)
Fuzzy PROMETHEE Method
90(11)
4 Game Theory
101(20)
Game Theory
102(3)
The Shapley Value
105(1)
Allocation of Benefits Resulting from Cooperative Behaviour Using the Shapley Value
106(2)
The Core
108(2)
A Cost-Allocation Method Based on the Core
110(4)
Float Allocation Using Game Theory
114(7)
5 Dynamic Programming
121(12)
Dynamic Programming
121(2)
A Multi-Project Investment Problem
123(3)
Dynamic Programming Formulation of the Time-Cost Trade-off Problem
126(7)
6 Forecasting Models
133(24)
Forecasting
133(1)
Linear Regression
134(6)
Grey Methodology
140(1)
The GM (1,1) Model
141(9)
Earned Value Management
150(7)
7 Simulation Models
157(16)
A Simulation Model with Random Numbers
158(4)
Artificial Intelligence
162(1)
Expert Systems
162(7)
Artificial Neural Networks
169(4)
8 Markov Models
173(14)
Markov Chain
175(8)
Risk Analysis Based on Markov Chains
183(4)
9 Data Envelopment Analysis Models
187(12)
Data Envelopment Analysis
190(9)
References 199(18)
Index 217
José Ramon San Cristobal Mateo is a Senior Lecturer and Head of Nautical Sciences at Escuela Técnica Superior de Nautica at the University of Cantabria, Santander, Spain. His PhD is in Marine Sciences. He has authored many papers and two books.
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