The Model-Driven Design Integration Framework (MDDIF): Introduction to an Optimized Product Development Process and a Design for Manufacturing Case Study

The complexity of modern system and manufacturing process development often leads to inefficiencies in responsiveness, cost, and quality. This article presents a comprehensive methodology and framework that integrates Model-Based Engineering (MBE) with Design for Manufacturing (DFM) and Design for Test (DFT) principles to streamline the development cycle across system design, manufacturing processes, and production. A methodology-driven framework, Model-Driven Design Integration Framework (MDDIF), is proposed to support the optimization of product development through adaptive design integration. MDDIF unifies four interrelated model types: systems models, Design for X (DFX) models, engineering analysis models, and decision-making models. It leverages advanced simulation tools, co-simulation techniques, and a structured, iterative process to ensure the cohesive integration of design and manufacturing requirements. By emphasizing early-stage testing, verification, and validation through multidisciplinary simulations, the framework enables the identification of manufacturing constraints and improves product manufacturability during the design phase. The proposed methodology is demonstrated through a DFM case study involving a lubrication system scavenge gear pump. Results show that the application of MDDIF enables early detection of manufacturing issues, enhances system performance, and reduces material waste, production costs, and time-to-market—while maintaining high levels of quality and reliability.

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Publication Details

Journal
IEEE Open Journal of Systems Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/ojse.2025.3588312
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
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article

The Model-Driven Design Integration Framework (MDDIF): Introduction to an Optimized Product Development Process and a Design for Manufacturing Case Study

Amy E. Thompson, Ravi Gorthala, Clara A. Ramirez
IEEE Open Journal of Systems Engineering
Model-Driven Software Engineering Techniques
article

The Model-Driven Design Integration Framework (MDDIF): Introduction to an Optimized Product Development Process and a Design for Manufacturing Case Study

Amy E. Thompson, Ravi Gorthala, Clara A. Ramirez
article en

Abstract

The complexity of modern system and manufacturing process development often leads to inefficiencies in responsiveness, cost, and quality. This article presents a comprehensive methodology and framework that integrates Model-Based Engineering (MBE) with Design for Manufacturing (DFM) and Design for Test (DFT) principles to streamline the development cycle across system design, manufacturing processes, and production. A methodology-driven framework, Model-Driven Design Integration Framework (MDDIF), is proposed to support the optimization of product development through adaptive design integration. MDDIF unifies four interrelated model types: systems models, Design for X (DFX) models, engineering analysis models, and decision-making models. It leverages advanced simulation tools, co-simulation techniques, and a structured, iterative process to ensure the cohesive integration of design and manufacturing requirements. By emphasizing early-stage testing, verification, and validation through multidisciplinary simulations, the framework enables the identification of manufacturing constraints and improves product manufacturability during the design phase. The proposed methodology is demonstrated through a DFM case study involving a lubrication system scavenge gear pump. Results show that the application of MDDIF enables early detection of manufacturing issues, enhances system performance, and reduces material waste, production costs, and time-to-market—while maintaining high levels of quality and reliability.

IEEE Open Journal of Systems EngineeringVol. 3
University of Connecticut (US)
Openalex Percentile: Top 83%
Model-Driven Software Engineering Techniques
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