Title

Design of a systematic methods improvement planning methodology: part II - a multiattribute utility theory (MAUT) approach

Abstract

This paper proposes the use of a multiattribute utility theory (MAUT) approach for prioritizing methods improvement techniques used in achieving productivity gains. The approach uses quantitative and subjective assessments of methods improvement criteria in order to rank improvement techniques. The improvement criteria include minimizing cycle time, resource utilization, analysis time, and liability risk. The MAUT approach consists of structuring the improvement criteria into a goals tree, assigning relative weights to criteria, and determining the improvement potentials attainable by selected improvement techniques. The system level improvement potentials for combinations of improvement techniques are then determined, from which the combination with the greatest potential can be selected. The MAUT approach was validated through an empirical study at NASA Kennedy Space Center. The results indicated that by taking into consideration the relative importance and improvement potentials of multiple improvement techniques, the MAUT approach was able to systematically guide improvement efforts thus increasing the potential for greater productivity gains.

Publication Date

12-1-1994

Publication Title

International Journal of Industrial Engineering : Theory Applications and Practice

Volume

1

Issue

4

Number of Pages

275-284

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

Socpus ID

0028749899 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028749899

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