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Management Science, Operations Research and Project Management: Modelling, Evaluation, Scheduling, Monitoring [Mīkstie vāki]

  • Formāts: Paperback / softback, 234 pages, height x width: 246x174 mm, weight: 440 g
  • Izdošanas datums: 12-Dec-2019
  • Izdevniecība: Routledge
  • ISBN-10: 036787931X
  • ISBN-13: 9780367879310
  • Mīkstie vāki
  • Cena: 57,31 €
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  • Formāts: Paperback / softback, 234 pages, height x width: 246x174 mm, weight: 440 g
  • Izdošanas datums: 12-Dec-2019
  • Izdevniecība: Routledge
  • ISBN-10: 036787931X
  • ISBN-13: 9780367879310
Due to its societal and economic relevance, Project Management (PM) has become an important discipline and a concept critical to modern organizations, public and private. PM as an academic discipline is discussed both in Management Science and in Operations Research. Management Science tends to focus on quantitative tools and the soft skills necessary to manage projects successfully. Operations Research gives the essential scientific contribution to the success of project management through the development of models and algorithms. In Management Science, Operations Research and Project Management, José Ramón San Cristóbal Mateo fills the gap between scientific research and the practical application of that research. Project managers need formal training in decision-making but sometimes, they do not have an in-depth knowledge of Operations Research or they lack the necessary theoretical background. This book, with its focus on the quantitative models of Operations Research and Management Science applied to Project Management, provides project managers with the tools and methods necessary to manage projects successfully. Project managers operate in a complex global environment, in which numerous factors need to be considered, such as minimizing total project costs, meeting contracted dates, and ensuring that activities achieve certain quality levels. The focus here on the application of quantitative models of Operations Research and Management Science applied to Project Management provides them with the tools and methods necessary to make sound decisions.

Recenzijas

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.