Analysing the role of multi-agent technology on high-tech manufacturing using AHP, DEMATEL, and TOPSIS
Vikram Singh and
Somesh Kumar Sharma
International Journal of Industrial and Systems Engineering, 2025, vol. 50, issue 1, 75-105
Abstract:
High-tech product manufacturers operate in extremely sensitive environments and face challenges in meeting the quality standards of high-tech products. To address these challenges, this study aims analysing the impact of multi-agent technology (MAT) on the quality standards of high-tech manufacturing (HTM). The extensive literature was used to explore 8 factors of HTM and 45 variables of MAT. A hybrid multi-criteria decision-making technique was used to analyse the factors and variables. The HTM process is a highly prioritised and impactful factor. Process monitoring, automatic customised test plans, adaptive agents, demand forecasting agents, and virtual manufacturing are the top five globally ranked variables. The findings of this article provide ranking order and determine the relationship between factors and variables for the integration of MAT in HTM. This bridging can assist designers in improving the design quality, manufacturers in increasing process quality standards of products, and market experts in selecting the potential market.
Keywords: HTM; MAT; analytical hierarchy process; AHP; decision-making trail evaluation laboratory; DEMATEL; high-tech products; HTPs; technique for order preference by similarity to ideal solution; TOPSIS. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=146117 (text/html)
Access to full text is restricted to subscribers.
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:ids:ijisen:v:50:y:2025:i:1:p:75-105
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().