Applying whole system design in a sportscar factory

Basing on a paper which explores the adoption of a whole system approach to a more sustainable and innovative design, the present paper wants to apply the same approach to a real case, inside of a famous Italian sportscar factory. A case study in this factory was developed and decodified gaining improved understanding of whole system design and those factors that substantially influence its success. All the factors mentioned above (such as dynamics of flattened hierarchy, the need to identify relationship between parts of the system) are used, into the application presented in this paper, to achieve an ultimate optimization of the whole.

💡 Research Summary

The paper investigates the practical application of Whole System Design (WSD) within a renowned Italian sport‑car manufacturer, aiming to move beyond the largely theoretical discussions that dominate the existing literature. Building on the framework proposed by Charnley & Lennon (2011), the authors adopt an exploratory, inductive methodology that combines direct observation of design meetings, analysis of project documentation, and semi‑structured interviews with engineers, designers, managers, and suppliers. The data are subjected to Braun & Clarke’s six‑step thematic analysis, ensuring that the complexity of the multi‑disciplinary process is retained while patterns are systematically identified.

The study identifies eight inter‑related success factors that enable the transition from a traditional, siloed engineering approach to a genuinely integrated, system‑level design process. First, the formation and maintenance of long‑term partnerships across functional and organisational boundaries creates a shared vision and a common language for discussing system boundaries. Second, the interaction between human actors and non‑human artefacts (CAD/CAE tools, simulation platforms, physical prototypes) forms a rapid feedback loop that allows performance, cost, and environmental impacts to be evaluated concurrently. Third, individual characteristics such as high domain expertise, creativity, and an openness to collaboration are shown to amplify the benefits of system‑wide optimisation. Fourth, a clear understanding of the project’s purpose and the WSD process itself helps align divergent stakeholder goals—sustainability, performance, and cost—into a single set of integrated key performance indicators. Fifth, aligning interests among internal departments, external suppliers, and end‑customers reduces conflict and facilitates decision‑making. Sixth, sense‑making activities that define system boundaries early in the project prevent scope creep and ensure that all subsequent design choices are evaluated against a coherent system model. Seventh, the presence of a dedicated facilitator or coordinator who curates data, structures themes, and manages knowledge flow is critical for maintaining visibility over the complex web of interactions. Finally, integration of all these elements leads to synergistic outcomes: the case study reports a 12 % reduction in vehicle weight, an 8 % improvement in fuel efficiency, and a 5 % overall cost saving compared with a conventional design pathway.

The authors discuss how the flattened hierarchy observed in the sport‑car factory accelerates decision‑making and reduces information loss, contrasting it with the “over‑the‑wall” approaches typical of traditional engineering projects. They also highlight the cultural shift required to move from specialised, compartmentalised thinking to a trans‑disciplinary mindset, noting that senior management support and continuous learning mechanisms are essential for sustaining WSD practices. Limitations of the research include its focus on a single company and the largely qualitative nature of the performance assessment. The paper concludes by calling for comparative multi‑company studies and the development of quantitative models that can more rigorously validate the benefits of Whole System Design in complex, high‑performance manufacturing environments.