© 2017

Sensitivity Analysis

An Introduction for the Management Scientist


Part of the International Series in Operations Research & Management Science book series (ISOR, volume 251)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Emanuele Borgonovo
    Pages 1-7
  3. Emanuele Borgonovo
    Pages 9-13
  4. Deterministic Methods

    1. Front Matter
      Pages 15-15
    2. Emanuele Borgonovo
      Pages 17-25
    3. Emanuele Borgonovo
      Pages 27-34
    4. Emanuele Borgonovo
      Pages 35-47
    5. Emanuele Borgonovo
      Pages 49-55
    6. Emanuele Borgonovo
      Pages 67-77
    7. Emanuele Borgonovo
      Pages 89-91
    8. Emanuele Borgonovo
      Pages 93-100
    9. Emanuele Borgonovo
      Pages 101-113
  5. Probabilistic Sensitivity Methods

    1. Front Matter
      Pages 115-115
    2. Emanuele Borgonovo
      Pages 117-127
    3. Emanuele Borgonovo
      Pages 129-138
    4. Emanuele Borgonovo
      Pages 139-162
    5. Emanuele Borgonovo
      Pages 163-180
    6. Emanuele Borgonovo
      Pages 181-189

About this book


This book is an expository introduction to the methodology of sensitivity analysis of model output. It is primarily intended for investigators, students and researchers that are familiar with mathematical models but are less familiar with the techniques for performing their sensitivity analysis. A variety of sensitivity methods have been developed over the years. This monograph helps the analyst in her/his first exploration of this world. The main goal is to foster the recognition of the crucial role of sensitivity analysis methods as the techniques that allow us to gain insights from quantitative models.  Also, exercising rigor in performing sensitivity analysis becomes increasingly relevant both to decision makers and modelers. The book helps the analyst in structuring her/his sensitivity analysis quest properly, so as to obtain the correct answer to the corresponding managerial question.

The first part of the book covers Deterministic Methods, including Tornado Diagrams; One-Way Sensitivity Analysis; Differentiation-Based Methods and Local Sensitivity Analysis with Constraints.  The second part looks at Probabilistic Methods, including Regression-Based methods, Variance-Based Methods, and Distribution-Based methods. The final section looks at Applications, including capital budgeting, sensitivity analysis in climate change modelling and in the risk assessment of a lunar space mission.


Decision Science Direction of Change Management Sciences Quantitative Decision Support Sensitivity Analysis Simulations

Authors and affiliations

  1. 1.Department of Decision SciencesBocconi UniversityMilanItaly

About the authors

Emanuele Borgonovo is a Professor in the Department of Decision Sciences at Bocconi University, Milan. He is Director of the Bachelor in Economics, Management and Computer Science and Director of the Management Science Laboratory of SDA Bocconi Business School. He is co-editor-in-Chief of the European Journal of Operational Research and a member of the editorial board of several international journals. He has been elected member of the Council of the Decision Analysis Society of INFORMS (2015-2018). He is co-Chair of the Technical Committee on Uncertainty Analysis of the European Safety and Reliability Association. He has received several prestigious national and international awards. He has been invited speaker and keynote speaker at several international conferences and has worked on numerous national and international research projects. He earned his PhD in Probabilistic Risk Assessment at the Massachusetts Institute of Technology under the supervision of Prof. George E. Apostolakis.  His primary research areas are Decision Analysis, Risk Analysis and Business Analytics. He has introduced new sensitivity analysis methods, among which the Differential Importance Measure, inserted in the “Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners”. His work has appeared in journals such as European Journal of Operational Research, Journal of the Royal Statistical Society B, Management Science, Nature Climate Change, Operations Research, Risk Analysis, etc.

Bibliographic information

  • Book Title Sensitivity Analysis
  • Book Subtitle An Introduction for the Management Scientist
  • Authors Emanuele Borgonovo
  • Series Title International Series in Operations Research & Management Science
  • Series Abbreviated Title Int.Ser.Operations Res.
  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management Business and Management (R0)
  • Hardcover ISBN 978-3-319-52257-9
  • Softcover ISBN 978-3-319-84860-0
  • eBook ISBN 978-3-319-52259-3
  • Series ISSN 0884-8289
  • Series E-ISSN 2214-7934
  • Edition Number 1
  • Number of Pages XIV, 294
  • Number of Illustrations 68 b/w illustrations, 0 illustrations in colour
  • Topics Operations Research/Decision Theory
    Operations Research, Management Science
  • Buy this book on publisher's site
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