Feedback-Based Algorithm for Negotiating Human Preferences and Making Risk Assessment Decisions

Silvia Carpitella (), Antonella Certa () and Joaquín Izquierdo ()
Additional contact information
Silvia Carpitella: California State University
Antonella Certa: University of Palermo
Joaquín Izquierdo: Universitat Politècnica de València

A chapter in Applications in Reliability and Statistical Computing, 2023, pp 61-83 from Springer

Abstract: Abstract Work equipment risk assessment is essential for guaranteeing health and safety of workers in industrial contexts. Many and varied hazards are involved in the use of equipment, which have to be periodically subject to thorough controls required by law. This research proposes a novel hybrid decision-making framework aimed at integrating flexible negotiation on human preferences. This goal will be achieved by establishing effective feedback exchanges with expert(s) familiar with the field of risk and maintenance of work equipment. We extend a previous research that proposed a user-friendly negotiation procedure to increase consistency of judgments provided by experts about relevant risk factors. The proposed algorithm has been built within the framework of the Analytic Hierarchy Process (AHP), a widely popular Multi-Criteria Decision-Making (MCDM) method. After negotiation of the evaluations of preference with experts to weight the main risk factors of interest, the obtained priorities will be used as a part of the body of input data required for a further MCDM application. This application will use the ELimination Et Choix Traduisant la REalité (ELECTRE) I method as a structured way for planning and implementing maintenance interventions. A real world application will lead towards the selection of the work equipment with associated higher level of risk under diverse risk factors, differently weighted by means of the negotiation process. Apart from the industrial field of reference, our theoretical framework can be applied to solve a wide range of practical decision-making problem.

Keywords: Multi-criteria decision-making; Expert feedback; Consistency improvement; Work equipment risk assessment (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-21232-1_3

Ordering information: This item can be ordered from
http://www.springer.com/9783031212321

DOI: 10.1007/978-3-031-21232-1_3

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().