Digital manufacturing challenges through open innovation perspective

Travaglioni, Marta; Ferazzoli, Angela; Petrillo, Antonella; Cioffi, Raffaele; Felice, Fabio De; Piscitelli, Giuseppina

doi:10.1016/j.promfg.2020.02.066

Cited by 19 publications

(16 citation statements)

References 13 publications

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“…In this work, an integrated literature review, based on the implementation of the analytical hierarchy process (AHP) and interpretive structural modeling (ISM), is proposed [32]. The ultimate goal of this study is to answer three questions: The rest of the manuscript is structured as follows: Section 2 details the methodology applied in the study in order to answer the key questions; Section 3 describes the application of the methodologies indicated in the previous section; Section 4 outlines the main findings later discussed in Section 5.…”

Section: Research Agendamentioning

confidence: 99%

Innovation Trajectories for a Society 5.0

Felice

Travaglioni

Petrillo

2021

Data

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Big Data, the Internet of Things, and robotic and augmented realities are just some of the technologies that belong to Industry 4.0. These technologies improve working conditions and increase productivity and the quality of industry production. However, they can also improve life and society as a whole. A new perspective is oriented towards social well-being and it is called Society 5.0. Industry 4.0 supports the transition to the new society, but other drivers are also needed. To guide the transition, it is necessary to identify the enabling factors that integrate Industry 4.0. A conceptual framework was developed in which these factors were identified through a literature review and the analytical hierarchy process (AHP) methodology. Furthermore, the way in which they relate was evaluated with the help of the interpretive structural modeling (ISM) methodology. The proposed framework fills a research gap, which has not yet consolidated a strategy that includes all aspects of Society 5.0. As a result, the main driver, in addition to technology, is international politics.

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Section: Research Agendamentioning

confidence: 99%

Innovation Trajectories for a Society 5.0

Felice

Travaglioni

Petrillo

2021

Data

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“…As known the main technologies are: internet of things, cloud computing, augmented reality with artificial intelligence, additive manufacturing, horizontal and vertical integration, cybersecurity, autonomous robots, simulation/digital twin, and big data analytics [9]. From our point of view, it is interesting to analyze the link between sustainability, digitalization/technologies from a product life cycle perspective [10]. Thus, an investigation on Scopus, the largest abstract and citation database of peer-reviewed literature has been carried out in this research.…”

Section: Sustainable Sovereignty: Condition For Digital Sovereigntymentioning

confidence: 99%

Product Lifecycle: Social and Political Reflections from the Digital and Sustainable Perspectives

Felice¹,

Petrillo²

2021

Product Life Cycle - Opportunities for Digital and Sustainable Transformation

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Digitalization and sustainability are the drivers of the global development of the future that have slowly conquered the agendas of governments and organizations on every continent. In this context, the pandemic has proved to be a powerful technological accelerator, helping to give a greater boost to these drivers, “guiding” leading the productive and economic sector throughout the world. Today the sustainability and digitalization represent the indispensable prerequisites to add economic, environmental, and social sovereignty. In fact, the scenario that the Coronavirus is leaving us foreshadows the need not to be satisfied with reaching targets for reducing greenhouse gas emissions, but to imagine “global” governance for the development of business models based on the new digital frontiers. Thus, what are the challenges for achieving the paradigms of sustainability and digitization in this new era? And what are the tools for a “digicircular” transformation? The aim of this chapter is to investigate these issues. To this end, it should be noted that, in this chapter, our aim is not to present an analysis of literature in the classical sense but rather political and social reflections.

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“…In the present era of technology, plenty of innovations are happening across the world, and digital manufacturing is one of such innovations (Travaglioni et al , 2020). Digital manufacturing is one of the elements of the digital revolution in the 21st century (Mourtzis, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…The mechanisms of digital manufacturing connect various digital systems and processes to create a holistic approach to produce customized products based on organizational requirements (Lee et al , 2013). Involvement of various digital technologies like artificial intelligence, cloud computing, additive manufacturing, Internet of things, human-machine interaction and advanced robotics are providing unmatched computational manufacturing opportunities across the globe (Travaglioni et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability

Bag

Sahu

Kilbourn

et al. 2021

IJPPM

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PurposeCircular economy denotes future sustainability that allows optimum utilization of resources. In the present era of technology, plenty of innovations are happening across the world, and digital manufacturing is one of such innovations. However, there are several barriers which are impeding adoption of digital manufacturing in circular economy environment. The study explores the barriers of digital manufacturing initiatives in a circular economy and develops a methodological model to prioritize the identified challenges for automotive parts manufacturing industry.Design/methodology/approachSeven categories of challenges namely process, human resources, financial, collaboration, technological, security and leadership challenges were identified from literature and further validated with subsequent discussions with experts from the industry. The study is conducted in two phases, where in the first phase, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique is used to define the priority and importance of seven categories of challenges. In second phase, the barriers are ranked using a Fuzzy Performance Important Index (FPII), taking into account contextual factors associated with the challenges and linked barriers, to determine the extent to which they impede the adoption of digital manufacturing in the sample automotive parts manufacturing company.FindingsThe “risk of data security and information privacy in connection with use of external data and protecting customer data” appeared as the most significant barrier to digital manufacturing in circular economy. Furthermore, technological challenges emerged as the most significant category of challenges followed by financial challenges in adoption of digital manufacturing in circular economy.Practical implicationsIdentification of the identified barriers and understanding the interrelationships will lead to easier adoption of digital manufacturing in circular economy.Originality/valueDespite all the potential benefits of implementing Industry 4.0 technologies in manufacturing industries, the adoption thereof is still in nascent phase with significant challenges yet to be overcome to accelerate the pace of adoption. Hence, this study explores the barriers preventing companies from adopting and benefiting from digital manufacturing initiatives and develops a methodological model.

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Digital manufacturing challenges through open innovation perspective

Cited by 19 publications

References 13 publications

Innovation Trajectories for a Society 5.0

Innovation Trajectories for a Society 5.0

Product Lifecycle: Social and Political Reflections from the Digital and Sustainable Perspectives

Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability

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