Content area

Abstract

Modern engineering projects, characterized by increasing complexity, challenge traditional methodologies such as Waterfall, Agile, and Systems V models. While these methods are systematic and methodical, they often lack the flexibility to accommodate the evolving demands and uncertainties of large-scale new product development initiatives. Innovations in digital transformation and entrepreneurial eco-system design, driven by AI, machine learning, and Internet of Things (IoT), highlight the need for adaptive, iterative development methods that can reduce product time-to-market durations. Agile methods are typically used for software development and are often difficult to apply in hardware-centric projects. This paper presents an Integrated Agile V-Model framework, that combines Agile's iterative flexibility with the V model's structured, gate-driven approach. This hybrid framework streamlines complex system management, risk mitigation, stakeholder engagement, and cross-functional collaboration throughout the project lifecycle. The framework could particularly be beneficial in sectors such as aerospace, defense, advanced manufacturing, healthcare, construction, energy, automotive, and technology, where adaptability and objective-driven milestones are critical to project success.

Details

1007133
Title
Integrating Agile and V Models for Complex New Product Development Planning Initiatives: A Hybrid Framework for Modern Day Product Development
Author
Publication title
Pages
1-6
Number of pages
7
Publication year
2025
Publication date
2025
Publisher
Institute of Industrial and Systems Engineers (IISE)
Place of publication
Norcross
Country of publication
United States
Source type
Scholarly Journal
Language of publication
English
Document type
Conference Proceedings
ProQuest document ID
3243712916
Document URL
https://www.proquest.com/scholarly-journals/integrating-agile-v-models-complex-new-product/docview/3243712916/se-2?accountid=208611
Copyright
Copyright Institute of Industrial and Systems Engineers (IISE) 2025
Last updated
2025-08-28
Database
ProQuest One Academic