Multi-Sided Digital Manufacturing Platform Supporting Exchange of Unused Company Potential

Bettoni, Andrea; Barni, Andrea; Sorlini, Marzio; Menato, Silvia; Giorgetti, Paolo; Landolfi, Giuseppe

doi:10.1109/ice.2018.8436294

Cited by 9 publications

(10 citation statements)

References 18 publications

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“…According with recent study (Zutshi and Grilo, 2019;Bettoni et al, 2018) the rising of Digital Platforms is changing every sector of the economy; more Industries, as well as Industrial Engineering, are adopting platforms to manage business, find new partners, manage quality as well as improve performance of marketing and customer support functions.…”

Section: Discussionmentioning

confidence: 99%

Management Transition to Big Data Analytics: Exploratory Study on Airline Industry

Izzo¹

2019

IBR

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This paper is addressed to the managers in field of Management Transition to Big Data Analytics, and those who guide and teach them. The research question is following: what is the Transition Management Model to Big Data Analytics in Airline Industry? The reason to choice Airline Industry is attributed to the strategic role that this sector has for the industrial development of a Country. There are few studies on Management Transition to Big Data Analytics and more less in Airline Industry, the present study attempts to contribute to the discussion on this topic.

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Section: Discussionmentioning

confidence: 99%

Management Transition to Big Data Analytics: Exploratory Study on Airline Industry

Izzo¹

2019

IBR

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“…This automation of processes then becoming the entire value proposition of many platforms. For industry-focused platforms, perspectives like the one presented by [4] are starting to rethink this process beyond the matching of manufacturing resources to the whole manufacturing ecosystem value network.…”

Section: Digital Platform Affordancesmentioning

confidence: 99%

“…From the perspective of companies that chose to invest on hefty fixed assets like top-of-the-line laser cutting machines or a 5-axis CNC machine this selling of capacity allows for better resource distribution while for other businesses it provides facilitated access to costly equipment that can help in alleviating initial costs of business or even the ability to meet seasonal peak demands. The growing willingness of companies to both buy and sell manufacturing capacity has precipitated the development of the Manufacturing as a Service (MaaS) paradigm [4] that both boosts and leverages the platform economy.…”

Section: Introductionmentioning

confidence: 99%

“…Having this landscape as the starting point, and taking digital platforms as stimulants for the transition of industry businesses towards service-oriented approaches [7,12,19,32] it becomes clear that a platform centered ecosystem is needed in order to further advance the MaaS business model. In [4] authors lay out their vision for a digital platform in the MaaS realm that leverages this disruption of the value chain and fluidity of user roles. By adopting a holistic perspective of the value network, and going beyond the simple matchmaking of manufacturing resources, the sharing potential is extended to the whole manufacturing ecosystem network.…”

Section: Introductionmentioning

confidence: 99%

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A Digital Platform Architecture to Support Multi-dimensional Surplus Capacity Sharing

Silva

Soares

Bettoni

et al. 2019

Collaborative Networks and Digital Transformation

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The highly disruptive transformation that digital platforms are imposing on entire sectors of the economy, along with the broad digitalization of industrial business processes, is having an impact on supply chains around the world. To take advantage of this new aggregated market paradigm new business models with a heavy focus on servitization are changing the value proposition of businesses. In this paper, we describe a reference architectural framework designed to support a digital platform fostering the optimization of supply chains by the pairing of unused industrial capacity with production demand. This framework aims at harmonizing stakeholder requirements with specifications of different levels in order to set up a coherent reference blueprint that serves as a starting point for development activities. A four-layer approach is used to articulate between technical components, with the data and tools layers, and the ecosystem, with the business and interfaces layers. The overall architecture and component description is presented as extensions of the initial set of affordances.

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“…In the digital economy, platform models have strongly proliferated over the past years, reducing transaction costs and facilitating exchanges that otherwise would not have occurred [8]. Digital platforms facilitate transactions between organizations and provide services and/or products on the top of technological building blocks used as a foundation to deal with competitive pressures [9,10]. In light of this, digital manufacturing platforms enable the provision of services associated with collecting, storing, processing and delivering data.…”

Section: Introductionmentioning

confidence: 99%

Reference Models for Digital Manufacturing Platforms

et al. 2019

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This paper presents an integrated reference model for digital manufacturing platforms, based on cutting edge reference models for the Industrial Internet of Things (IIoT) systems. Digital manufacturing platforms use IIoT systems in combination with other added-value services to support manufacturing processes at different levels (e.g. design, engineering, operations planning, and execution). Digital manufacturing platforms form complex multi-sided ecosystems, involving different stakeholders ranging from supply chain collaborators to Information Technology (IT) providers. This research analyses prominent reference models for IIoT systems to align the definitions they contain and determine to what extent they are complementary and applicable to digital manufacturing platforms. Based on this analysis, the Industrial Internet Integrated Reference Model (I3RM) for digital manufacturing platforms is presented, together with general recommendations that can be applied to the architectural definition of any digital manufacturing platform.

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Multi-Sided Digital Manufacturing Platform Supporting Exchange of Unused Company Potential

Cited by 9 publications

References 18 publications

Management Transition to Big Data Analytics: Exploratory Study on Airline Industry

Management Transition to Big Data Analytics: Exploratory Study on Airline Industry

A Digital Platform Architecture to Support Multi-dimensional Surplus Capacity Sharing

Reference Models for Digital Manufacturing Platforms

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