1st Australian International Conference on Industrial Engineering and Operations Management

Determination Weight Prioritized of Multi-attribute Decision-Making for Diversification Product in Pangasius Agro-industry

Andreas Tri Panudju, Marimin Marimin, Sapta Raharja & Mala Nurilmala
Publisher: IEOM Society International
0 Paper Citations
Track: Decision Sciences

The pangasius agroindustry has significant potential to boost added value, build the economic processes, raise the commercial community, offer jobs, generate economic opportunities, and strengthen the national economic. The base value of the pangasius agro-industry is due to the lack of innovative product development, which is essential to a sustainable agro-industry. Making the appropriate option when selecting a new product development concept is crucial to generating a successful new product. The selection of concepts is crucial for mitigating risk in a variety of market and uncertainty settings. AHP is appropriate for dealing with decision-making challenges involving multiple connected aspects. Combining AHP with fuzzy set theory has created a recent offshoot known as fuzzy AHP. This innovative method widens the decision-making application scope much further. Despite the widespread use of fuzzy AHP, few studies have compared the priority weight vectors generated by fuzzy AHP with those of traditional AHP. This research compares the two AHP techniques by examining the weight vectors derived from real-world case studies. By applying different fuzzy fundamental scales and weight aggregation, four distinct fuzzy AHP techniques were derived from past research and tested to determine which produces the most equivalent outcomes to standard AHP. The principal findings and outcomes from the four methodologies are presented and thoroughly explored.

Published in: 1st Australian International Conference on Industrial Engineering and Operations Management, Sydney, Australia

Publisher: IEOM Society International
Date of Conference: December 21-22, 2022

ISBN: 979-8-3507-0542-3
ISSN/E-ISSN: 2169-8767