Using the analytic hierarchy process in group decision making for nuclear spare parts

Scala, NM and Needy, KLS and Rajgopal, J (2010) Using the analytic hierarchy process in group decision making for nuclear spare parts. In: UNSPECIFIED.

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Abstract

University of Pittsburgh, University of Arkansas, The Analytic Hierarchy Process (AHP) is an established decision method used to synthesize judgments and select the best alternative. The AHP literature extensively discusses both theory and case studies for judgments made by one person. However, instances exist when the judgments of a group of individuals are needed for accurate knowledge representation and robust decision making. One such instance is spare parts processes for nuclear electricity plants. Elicitation of group knowledge is necessary because each work group may have different experiences and attitudes towards spare parts management. This paper presents an interview protocol used for group knowledge elicitation using AHP for nuclear spare parts inventory management. Inconsistencies in the data and challenges in AHP group aggregation are examined. A numerical example of employee responses is included. This research benefits the engineering manager by presenting a methodology to collect a range of knowledge across work groups. The authors' overall decision tool supports existing corporate culture while striving for continuous process improvement.

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Details

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Scala, NM Needy, KLS Rajgopal, J j.rajgopal@pitt.edu GUNNER1 0000-0001-7730-8749
Date:	1 December 2010
Date Type:	Publication
Access Restriction:	No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title:	31st Annual National Conference of the American Society for Engineering Management 2010, ASEM 2010
Page Range:	191 - 199
Event Type:	Conference
Institution:	University of Pittsburgh
Schools and Programs:	Swanson School of Engineering > Industrial Engineering
Refereed:	Yes
ISBN:	9781617824449
Date Deposited:	07 Aug 2014 17:02
Last Modified:	28 Jan 2021 19:55
URI:	http://d-scholarship.pitt.edu/id/eprint/22627

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