Early adopters of Manufacturing-as-a-Service (MaaS): state-of-the-art and deployment models

5Citations
Citations of this article
35Readers
Mendeley users who have this article in their library.

Abstract

Purpose: Cloud Manufacturing (CM) is the manufacturing version of Cloud Computing and aims to increase flexibility in the provision of manufacturing services. On-demand manufacturing services can be requested by users to the cloud and this enables the concept of Manufacturing-as-a-Service (MaaS). Given the considerable number of prototypes and proofs of concept addressed in literature, this work seeks real CM platforms to study them from a business perspective, in order to discover what MaaS concretely means today and how these platforms are operating. Design/methodology/approach: Since the number of real applications of this paradigm is very limited (if the authors exclude prototypes), the research approach is qualitative. The paper presents a multiple-case analysis of 6 different platforms operating in the manufacturing field today. It is based on empirical data and inductively researches differences among them (e.g. stakeholders, operational flows, capabilities offered and scalability level). Findings: MaaS has come true in some contexts, and today it is following two different deployment models: open or closed to the provider side. The open architecture is inspired by a truly open platform which allows any company to be part of the pool of service providers, while the closed architecture is limited to a single service provider of the manufacturing services, as it happens in most cloud computing services. Originality/value: The research shoots a picture of what MaaS offers today in term of capabilities, what are the deployment models and finally suggests a framework to assess different levels of development of MaaS platforms.

Cite

CITATION STYLE

APA

Tedaldi, G., & Miragliotta, G. (2023). Early adopters of Manufacturing-as-a-Service (MaaS): state-of-the-art and deployment models. Journal of Manufacturing Technology Management, 34(4), 580–600. https://doi.org/10.1108/JMTM-01-2022-0052

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free