Abstract
This literature-grounded research contributes to a deeper understanding of modularization as a system life cycle management strategy, by providing a comprehensive view of its key barriers, drivers, possible mechanisms of implementation and impact. This comprehensive view, arranged into a decision-making–driven ontology, enables a decision maker to systematically identify modularization implementation opportunities in different industrial and service domains. The proposed ontology transforms modularization into a fully operationalizable strategy and contributes to a paradigm shift in the understanding of modularization, from a pure design option (i.e. modularity) to a fully strategic choice that, by nature, impacts on many of the system’s life cycle phases and involves a number of stakeholders.
| Original language | English |
|---|---|
| Pages (from-to) | 1-23 |
| Journal | International Journal of Engineering Business Management |
| Volume | 11 |
| Early online date | 10 Feb 2019 |
| DOIs | |
| Publication status | Published - 10 Feb 2019 |
Bibliographical note
This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This paper presents part of the results of the project “Plant modularisation in the process and power industry: in the search of more flexible and resilient operations in a life cycle perspective”, granted by Politecnico di Milano as a “Fondi di Ateneo di Ricerca di Base” project. Special thanks to Tristano Sainati, Nicola Careri, Andrea Acremoni, Roberto Termine, Francesco Vincenti for their support in this research.
Keywords
- barriers
- drivers
- impact
- life cycle
- mechanisms
- Modularization
- ontology
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