Smart Decisions: A Structured Approach to Decision Analysis

Explore the fundamentals of Multi-Criteria Decision Analysis with help from Excel(R) and R

In Smart Decisions: A Structured Approach to Decision Analysis using MCDA, a distinguished team of decision-making specialists delivers a comprehensive and insightful exploration of the fundamentals of Multi-Criteria Decision Analysis methods. The book offers guidance on modeling decision problems using some of the most powerful methods in operations research.

Each chapter introduces a core MCDA method and guides the reader through a step-by-step approach to the implementation of the method using Microsoft(R) Excel(R) and then using R, a popular analytical language.

The book also includes:

• A thorough, step-by-step guide to Multi-Criteria Decision Analysis methods and the application of these methods in Microsoft Excel and R
• Extensive illustrations, R code, and software screenshots to aid the reader’s understanding of the concepts discussed within
• A starter’s guide to Excel and R programming

Perfect for graduate students in MBA programs and business schools, Smart Decisions: A Structured Approach to Decision Analysis Using MCDA is also an ideal resource for practitioners who apply MCDA in business, finance, applied mathematics, and engineering.

Richard Edgar Hodgett is an associate professor in business analytics and decision science who specializes in solving applied analytical problems. Prior to this he was an Innovation Specialist who developed toolkits now used by some of the world’s leading industrial companies in the pharmaceutical and speciality chemical sectors.

Sajid Siraj is an associate professor who has extensive experience as a systems analyst. His work is focused on object-oriented programming, data analysis and visualization, discrete event simulation, and real-time embedded systems.

Ellen Louise Hogg is a teaching fellow in business analytics who specialises in teaching data analytics, interactive visualisations and statistics. She previously worked as a research associate in neuroscience.