Journal of Artificial Intelligence and Digital Business
Vol. 4 No. 2 (2025): Mei - Juli

Optimizing New Product Development in Automotive Manufacturing: The Role of DFMA in Multi-Purpose Vehicle Production

Ariyani, Made Laksmi (Unknown)
Karningsih, Putu Dana (Unknown)
Wicaksono, Bagas Wahyu (Unknown)
Syamsuri, Ahmad (Unknown)



Article Info

Publish Date
20 Jul 2025

Abstract

This study examines the application of Design for Manufacturing and Assembly (DFMA) principles to enhance the production process of Multi-Purpose Vehicles (MPVs). The research aims to improve assembly efficiency and reduce manufacturing costs by evaluating and modifying the existing MPV design. By eliminating unnecessary components, such as Bolt Type 1, PU Box, Rear Cabin, and Bolt Type 2, and incorporating fit-in technologies like snap-fit mechanisms, the design is simplified to streamline the assembly process and reduce complexity. DFMA software analysis, along with design modifications, shows a substantial reduction in assembly time and cost, while improving product reliability. The findings demonstrate how DFMA can enhance the manufacturability of MPVs, providing an effective strategy for manufacturers to stay competitive in the automotive sector. The study also underscores the importance of iterative design evaluation and re-evaluation in achieving optimal product quality and operational efficiency. This research offers practical insights into applying DFMA in automotive product development and sets the foundation for further studies on its impact in other industries

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Journal Info

Abbrev

RIGGS

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

Description

Journal of Artificial Intelligence and Digital Business (RIGGS) is published by the Department of Digital Business, Universitas Pahlawan Tuanku Tambusai in helping academics, researchers, and practitioners to disseminate their research results. RIGGS is a blind peer-reviewed journal dedicated to ...