An approach and decision support tool for forming Industry 4.0 supply chain collaborations

Cisneros-Cabrera, Sonia; Pishchulov, Grigory; Sampaio, Pedro; Mehandjiev, Nikolay; Liu, Zixu; Kununka, Sophia

doi:10.1016/j.compind.2020.103391

Cited by 44 publications

(20 citation statements)

References 55 publications

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“…In terms of theoretical implications, the collaboration between SMEs has been pointed out as one of many ways to facilitate the Industry 4.0 transformation of manufacturing SMEs (Moeuf et al , 2020; Shinohara et al , 2017; Zangiacomi et al , 2018). However, even if Industry 4.0 collaborative projects between SMEs have been observed (Benitez et al , 2020; Cisneros-Cabrera et al , 2021; Zangiacomi et al , 2018; Moeuf et al , 2018), none of them explained how that collaboration took place, how the projects were managed or even the limits of these collaborations.…”

Section: Discussionmentioning

confidence: 99%

“…It was also showed that the utilization of inter-firm collaboration within a supply chain was necessary to facilitate the Industry 4.0 transformation of the whole supply chain (Culot et al , 2019; Müller et al , 2020; Cisneros-Cabrera et al , 2021; Ghadge et al , 2020), which would bring better coordination and communication, a higher level of responsiveness and a higher level of customer satisfaction (Barratt, 2004; McLaren et al , 2002; Cisneros-Cabrera et al , 2021; Ghadge et al , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

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Collaborative approach to digital transformation (CADT) model for manufacturing SMEs

Brodeur¹,

Pellerin

Deschamps

2021

JMTM

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PurposeThis paper aims to propose a collaborative approach model developed based on observations of two aerospace manufacturing small and medium-sized enterprises (SMEs) pursuing their digital transformation toward Industry 4.0.Design/methodology/approachThis research focuses on two manufacturing SMEs in North America, and data were collected using longitudinal case study and research intervention method. Data collection was performed through observation and intervention within the collaborative projects over 18 months.FindingsA model of a collaborative approach to digital transformation (CADT) for manufacturing SMEs was produced. Based on the study findings, the collaboration manifests itself at various stages of the transformation projects, such as the business needs alignment, project portfolio creation, technology solution selection and post-mortem phase.Research limitations/implicationsResearch using the case study method has a limitation in the generalization of the model. The CADT model generated in this study might be specific to the aerospace manufacturing industry and collaboration patterns between manufacturing SMEs. The results could vary in different contexts.Practical implicationsThe proposed CADT model is particularly relevant for manufacturing SMEs' managers and consultants working on digital transformation projects. By adopting this approach, they could better plan and guide their collaboration approach during their Industry 4.0 transformation.Originality/valueThis research provides a new perspective to digital transformation approaches in the aerospace industry. It can be integrated into other research findings to formulate a more integrated and comprehensive CADT model in industries where SMEs are significant players.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Collaborative approach to digital transformation (CADT) model for manufacturing SMEs

Brodeur¹,

Pellerin

Deschamps

2021

JMTM

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“…Digitization, process automation, and other enabling technologies in industry 4.0 can be used to support seamless information integration and processing of space systems. Cisneros-Cabrera et al [205] developed a decision-making system to integrate interaction tools, industry ontologies, and various multi-criterion decision-support techniques to select and compose collaborative teams to fulfill business requirements. Blockchain technology (BCT) has been considered as a potential solution to commercial aircraft leasing.…”

Section: Big Space Data Analysismentioning

confidence: 99%

The State of the Art of Information Integration in Space Applications

Yung

et al. 2022

IEEE Access

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This paper aims to present a comprehensive survey on information integration (II) in space informatics. With an ever-increasing scale and dynamics of complex space systems, II has become essential in dealing with the complexity, changes, dynamics, and uncertainties of space systems. The applications of space II (SII) require addressing some distinctive functional requirements (FRs) of heterogeneity, networking, communication, security, latency, and resilience; while limited works are available to examine recent advances of SII thoroughly. This survey helps to gain the understanding of the state of the art of SII in sense that (1) technical drivers for SII are discussed and classified; (2) existing works in space system development are analyzed in terms of their contributions to space economy, divisions, activities, and missions; (3) enabling space information technologies are explored at aspects of sensing, communication, networking, data analysis, and system integration; (4) the importance of first-time right (FTR) for implementation of a space system is emphasized, the limitations of digital twin (DT-I) as technological enablers are discussed, and a concept digital-triad (DT-II) is introduced as an information platform to overcome these limitations with a list of fundamental design principles; (5) the research challenges and opportunities are discussed to promote SII and advance space informatics in future.INDEX TERMS Information integration (II), space informatics, digital triad (DT-II), internet of digital-triad things (IoDTT), first-time right (FTR), space information integration (SII). FIGURE 2. Technical drivers of II applications.

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“…ese issues impair the trust and cooperation between industry entities [2]. To break the production limit, Industry 4.0 [3] and the industrial Internet [4] were introduced by Germany in 2010 and General Electric in 2012. e primary purpose of this structure is to connect people, data, and machines with an open and globalized network and to achieve a high degree of integration of industrial systems with computing, analysis, and IT systems [5]. In particular, the industrial Internet may create a data corridor between each element in production scenarios.…”

Section: Introductionmentioning

confidence: 99%

Design of a Blockchain-Based Traceability System with a Privacy-Preserving Scheme of Zero-Knowledge Proof

Xue

2022

Security and Communication Networks

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With the fast development of the industrial Internet, its interconnectivity poses new challenges for the cooperation of industrial entities. Cooperation among these entities is built on trust, and trust is based on high-quality industrial products at reasonable prices. A traceability system can play an essential role in objectively reflecting the production process and promoting this trust. However, traditional traceability systems often have data privacy issues. Because traceability data are collected or generated during the production process (namely, production-related data), they could be considered privacy data. Several researchers have introduced privacy protection schemes into the traceability system, such as authentication or encryption. Nevertheless, when a privacy protection scheme is established, the original data are disclosed to the legal user of the system, but the data may still be leaked intentionally or unintentionally. Except for data privacy issues, a traditional traceability system can be vulnerable to network attacks, data unavailability, and reliability issues. The authors conducted a study to overcome these shortcomings, and this paper reports the results. We built a traceability prototype system using a blockchain protocol and a zero-knowledge proof method. First, we built a blockchain to record key production process data, aiming to maintain data reliability and availability. Second, through an analysis of traceability purpose using production knowledge, the traceability purpose could be divided into multiple provable statements. By introducing privacy protection through a zero-knowledge proof, the traceability process was converted to proving relative statements. Finally, the statements were validated by a smart contract that provided openness and reliability during the traceability process. Analysis has shown that our approach could meet the requirements for high security and privacy. In addition, the paper also discusses the calculation cost of the traceability process to show our work’s viability. The traceability system described in this paper creates new possibilities for constructing a healthy and reliable trust relationship between production entities to provide further support in the development of the industrial Internet.

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An approach and decision support tool for forming Industry 4.0 supply chain collaborations

Cited by 44 publications

References 55 publications

Collaborative approach to digital transformation (CADT) model for manufacturing SMEs

Collaborative approach to digital transformation (CADT) model for manufacturing SMEs

The State of the Art of Information Integration in Space Applications

Design of a Blockchain-Based Traceability System with a Privacy-Preserving Scheme of Zero-Knowledge Proof

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