Introduction to Management Science ISE
Autor Frederick Hillier, Mark Hillieren Limba Engleză Paperback – 15 noi 2022
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Specificații
ISBN-13: 9781265040055
ISBN-10: 1265040052
Pagini: 770
Dimensiuni: 216 x 274 x 41 mm
Greutate: 1.35 kg
Ediția:7
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
ISBN-10: 1265040052
Pagini: 770
Dimensiuni: 216 x 274 x 41 mm
Greutate: 1.35 kg
Ediția:7
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
Cuprins
PART 1 The Essence of Management Science and Business Analytics
1 Introduction
2 Overview of the Analysis Process
PART 2 Models for Predictive Analytics
3 Classification and Prediction Models for Predictive Analytics
4 Predictive Analytics Based on Traditional Forecasting Methods
PART 3 Using Linear Programming to Perform Prescriptive Analytics
5 Linear Programming: Basic Concepts
6 Linear Programming: Formulation and Applications
7 The Art of Modeling with Spreadsheets
8 What-If Analysis for Linear Programming
9 Network Optimization Problems
PART 4 Using Integer or Nonlinear Programming to Perform Prescriptive Analytics
10 Integer Programming
11 Nonlinear Programming
PART 5 Traditional Uncertainty Models for Performing Predictive or Prescriptive Analytics
12 Decision Analysis
13 Queueing Models
14 Computer Simulation: Basic Concepts
15 Computer Simulation with Analytic Solver
APPENDIXES
A Tips for Using Microsoft Excel for Modeling
B Partial Answers to Selected Problems
1 Introduction
2 Overview of the Analysis Process
PART 2 Models for Predictive Analytics
3 Classification and Prediction Models for Predictive Analytics
4 Predictive Analytics Based on Traditional Forecasting Methods
PART 3 Using Linear Programming to Perform Prescriptive Analytics
5 Linear Programming: Basic Concepts
6 Linear Programming: Formulation and Applications
7 The Art of Modeling with Spreadsheets
8 What-If Analysis for Linear Programming
9 Network Optimization Problems
PART 4 Using Integer or Nonlinear Programming to Perform Prescriptive Analytics
10 Integer Programming
11 Nonlinear Programming
PART 5 Traditional Uncertainty Models for Performing Predictive or Prescriptive Analytics
12 Decision Analysis
13 Queueing Models
14 Computer Simulation: Basic Concepts
15 Computer Simulation with Analytic Solver
APPENDIXES
A Tips for Using Microsoft Excel for Modeling
B Partial Answers to Selected Problems