The role of Engineering-to-Order machinery manufacturers in future Cloud Manufacturing supply chains: a business case and a strategic perspective

Tedaldi, Gianluca; Miragliotta, Giovanni

doi:10.1080/09537287.2020.1837942

Cited by 3 publications

(4 citation statements)

References 45 publications

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“…The characteristics of CM (Liu et al, 2019) aiming to realize MaaS can be resumed as follows (Tedaldi and Miragliotta, 2022):…”

Section: From Cloud Computing To CMmentioning

confidence: 99%

“…Once the order is confirmed, the production plan is updated and the CAM instructions are directly delivered to the machine which will realize the parts ordered (Scholten, 2017). This is possible because they developed Sophia together with machinery manufacturers providing the resources owned by 247TailorSteel (Tedaldi and Miragliotta, 2022). JMTM…”

Section: Tailorsteelmentioning

confidence: 99%

“…The characteristics of CM (Liu et al ., 2019) aiming to realize MaaS can be resumed as follows (Tedaldi and Miragliotta, 2022):Centralized management: resources are centrally managed by the cloud operator (i.e. turning user requirements into tasks to be allocated and scheduled)High-information sharing: service providers and users communicate a great quantity of information with the cloud operator;On-demand: resources appear to be immediately available to provide the user with services;Service-oriented: great flexibility in sourcing (high customization level for users in product, delivery date, volumes and mix), fast response time, flexible contractual relationship;Resource pooling: resources are pooled and generally the user could have no control or knowledge over the exact location of the provided resources;Ubiquitous manufacturing and broad network access: services are anywhere available and accessible through standard devices (e.g.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…"Public", "Private", "Community" and "Hybrid", cfr. Mell and Grance, 2011), to conceptualize deployment variants (Design-as-a-Service, Simulation-as-a-Service, Tao et al, 2011b;Liu et al, 2019), to clarify in which manufacturing context this paradigm could spread (Lu and Xu, 2019) or which business interactions may facilitate the creation of such a manufacturing environment (Tedaldi and Miragliotta, 2022).…”

Section: Introductionmentioning

confidence: 99%

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

Tedaldi

Miragliotta

2023

JMTM

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PurposeCloud 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/approachSince 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).FindingsMaaS 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/valueThe 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.

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“…The characteristics of CM (Liu et al, 2019) aiming to realize MaaS can be resumed as follows (Tedaldi and Miragliotta, 2022):…”

Section: From Cloud Computing To CMmentioning

confidence: 99%

Section: Tailorsteelmentioning

confidence: 99%