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.

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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

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article

Cost estimation in the context of Manufacturing-as-a-Service

Farah Abdoune, Rasmus Andersen, Catherine da Cunha, Ann-Louise Andersen
IFAC-PapersOnLine
Manufacturing Process and Optimization
article

Cost estimation in the context of Manufacturing-as-a-Service

Farah Abdoune, Rasmus Andersen, Catherine da Cunha, Ann-Louise Andersen
article en

Abstract

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.

IFAC-PapersOnLineVol. 59(10)
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)
European Commission
Openalex Percentile: Top 62%
Manufacturing Process and Optimization
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