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Introduction to Rankings and Decisions in Engineering

In: Rankings and Decisions in Engineering

Author

Listed:
  • Fiorenzo Franceschini

    (Politecnico di Torino)

  • Domenico A. Maisano

    (Politecnico di Torino)

  • Luca Mastrogiacomo

    (Politecnico di Torino)

Abstract

This chapter introduces a typical decision-making problem concerning the aggregation of rankings formulated by multiple experts. These rankings, which are inherently subjective and concern a specific attribute of a set of objects of interest, must be aggregated into a collective judgment, which is supposed to reflect the opinion of all experts. After presenting an introductory case study, this chapter shows that the problem of interest had been debated for over two centuries in several fields, such as Social Choice, Voting Theory, Economics, and Psychometrics. Nevertheless, the problem can also be extended to other less common fields, as long as they include multi-expert decisions. One of these fields is Engineering, which includes multiple decision-making activities in a variety of phases, such as Conceptual/Customer-Driven Design, Reliability Engineering, Manufacturing, and Quality Control.

Suggested Citation

  • Fiorenzo Franceschini & Domenico A. Maisano & Luca Mastrogiacomo, 2022. "Introduction to Rankings and Decisions in Engineering," International Series in Operations Research & Management Science, in: Rankings and Decisions in Engineering, chapter 0, pages 1-15, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-89865-6_1
    DOI: 10.1007/978-3-030-89865-6_1
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    Cited by:

    1. Shubhranshu Shekhar & Jetson Leder-Luis & Leman Akoglu, 2023. "Unsupervised Machine Learning for Explainable Health Care Fraud Detection," NBER Working Papers 30946, National Bureau of Economic Research, Inc.

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