Author:
Franceschini Fiorenzo,Maisano Domenico A.,Mastrogiacomo Luca
Abstract
AbstractRanking aggregation is an ancient problem with some characteristic elements: a number of experts, who individually rank a set of objects according to a certain (subjective) attribute, and the need to aggregate the resulting expert rankings into a collective judgment. Although this problem is traditionally very popular in fields such as social choice, psychometrics, and economics, it can also have several interesting applications in manufacturing, e.g., for customer-oriented design, reliability engineering, production management, etc. Through a case study related to a cobot-assisted manual (dis)assembly, the paper illustrates an operational methodology and various useful tools that assist in tackling the problem practically, effectively, and with a critical mind. Some of the proposed tools allow to estimate the degree of concordance among experts, and the collective judgment’s consistency and robustness. The paper is aimed at scientists and practitioners in manufacturing.
Publisher
Springer Science and Business Media LLC
Reference47 articles.
1. Agresti A (2010) Analysis of ordinal categorical data, 2nd edn. John Wiley & Sons, New York
2. Arrow KJ (2012) Social choice and individual values, 3rd edn. Yale University Press, New Haven
3. Bana e Costa CA (ed) (2012) Readings in multiple criteria decision aid. Springer Science & Business Media, Berlin Heidelberg
4. Belton V, Stewart T (2002) Multiple criteria decision analysis: an integrated approach. Springer Science & Business Media, New York
5. Blais A (ed) (2008) To keep or to change first past the post? the politics of electoral reform. Oxford University Press, Oxford