Cost estimation in the context of Manufacturing-as-a-Service
Manufacturing as a Service (MaaS) represents a transformative shift in industrial production, offering flexible and scalable solutions through the use of shared manufacturing resources. However, the on-demand and variable nature of MaaS poses significant challenges in accurately estimating costs. This paper addresses these challenges by reviewing existing costing methods and selecting Activity-Based Costing (ABC) as the most suitable approach. A framework for cost estimation in this context is then proposed, followed by the use of simulation to support the implementation of ABC. The feasibility of this approach is demonstrated in a smart factory environment, showcasing how simulation can enhance cost estimation in a controlled setting. Finally, the methodology is examined from an industrial perspective, highlighting potential challenges and considerations for real-world application.
Authors
- Farah Abdoune (ORCID: https://orcid.org/0000-0002-2601-1600)
- Rasmus Andersen (ORCID: https://orcid.org/0000-0001-6788-8217)
- Catherine da Cunha (ORCID: https://orcid.org/0000-0002-1330-8384)
- Ann-Louise Andersen (ORCID: https://orcid.org/0000-0002-7923-6301)
Institutions
- École Centrale de Nantes (FR)
- Centre National de la Recherche Scientifique (FR)
- Laboratoire des Sciences du Numérique de Nantes (FR)
- Aalborg University (DK)
- Nantes Université (FR)
Publication Details
- Journal
- IFAC-PapersOnLine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.ifacol.2025.09.207
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission