How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Matteo Mallus & Giuseppe Colistra & Luigi Atzori & Maurizio Murroni & Virginia Pilloni, 2017. "Dynamic Carpooling in Urban Areas: Design and Experimentation with a Multi-Objective Route Matching Algorith," Sustainability, MDPI, vol. 9(2), pages 1-21, February.
- Fogliatto, Flavio S. & da Silveira, Giovani J.C. & Borenstein, Denis, 2012. "The mass customization decade: An updated review of the literature," International Journal of Production Economics, Elsevier, vol. 138(1), pages 14-25.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Iñigo Pombo & Leire Godino & Jose Antonio Sánchez & Rafael Lizarralde, 2020. "Expectations and limitations of Cyber-Physical Systems (CPS) for Advanced Manufacturing: A View from the Grinding Industry," Future Internet, MDPI, vol. 12(9), pages 1-15, September.
- Radosław Drozd & Radosław Wolniak, 2021. "Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2161-2176, December.
- Damianos P. Sakas & Nikolaos Th. Giannakopoulos, 2021. "Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
- Lijun Zhang & Kai Liu & Jian Liu, 2018. "Multidiscipline Integrated Platform Based on Probabilistic Analysis for Manufacturing Engineering Processes," Future Internet, MDPI, vol. 10(8), pages 1-10, July.
- Mihui Kim & Junhyeok Yun, 2020. "Development of User-Participatory Crowdsensing System for Improved Privacy Preservation," Future Internet, MDPI, vol. 12(3), pages 1-19, March.
- Anna Kwiotkowska & Magdalena Gębczyńska, 2022. "Job Satisfaction and Work Characteristics Combinations in Industry 4.0 Environment—Insight from the Polish SMEs in the Post–Pandemic Era," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
- Vitor Hugo dos Santos Filho & Luis Maurício Martins de Resende & Joseane Pontes, 2024. "Development of a Theoretical Model for Digital Risks Arising from the Implementation of Industry 4.0 (TMR-I4.0)," Future Internet, MDPI, vol. 16(6), pages 1-32, June.
- Domaszewicz, Jaroslaw & Parzych, Dariusz, 2022. "Intra-Company Crowdsensing: Datafication with Human-in-the-Loop," MPRA Paper 112608, University Library of Munich, Germany.
- Aldona Kluczek & Patrycja Żegleń & Daniela Matušíková, 2021. "The Use of Prospect Theory for Energy Sustainable Industry 4.0," Energies, MDPI, vol. 14(22), pages 1-29, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Romanika Okraszewska & Aleksandra Romanowska & Marcin Wołek & Jacek Oskarbski & Krystian Birr & Kazimierz Jamroz, 2018. "Integration of a Multilevel Transport System Model into Sustainable Urban Mobility Planning," Sustainability, MDPI, vol. 10(2), pages 1-20, February.
- Bindu K. Nambiar & Kartikeya Bolar, 2023. "Factors influencing customer preference of cardless technology over the card for cash withdrawals: an extended technology acceptance model," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 58-73, March.
- Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
- Murphree, Michael & Anderson, John (Andy), 2018. "Countering Overseas Power in Global Value Chains: Information Asymmetries and Subcontracting in the Plastics Industry," Journal of International Management, Elsevier, vol. 24(2), pages 123-136.
- Sandrin, Enrico & Trentin, Alessio & Forza, Cipriano, 2018. "Leveraging high-involvement practices to develop mass customization capability: A contingent configurational perspective," International Journal of Production Economics, Elsevier, vol. 196(C), pages 335-345.
- Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
- Gedas Baranauskas & Agota Giedrė Raišienė & Renata Korsakienė, 2020. "Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis," JRFM, MDPI, vol. 13(9), pages 1-20, September.
- Natália Barbosa, 2024. "Artificial Intelligence and exporting performance:Firm-level evidence from Portugal," GEE Papers 183, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Sep 2024.
- Young Won Park & Junjiro Shintaku, 2022. "Sustainable Human–Machine Collaborations in Digital Transformation Technologies Adoption: A Comparative Case Study of Japan and Germany," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
- Liu, Weihua & Wang, Qian & Mao, Qiaomei & Wang, Shuqing & Zhu, Donglei, 2015. "A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 189-215.
- Frank Wiengarten & Prakash J. Singh & Brian Fynes & Ali Nazarpour, 2017. "Impact of mass customization on cost and flexiblity performances: the role of social capital," Operations Management Research, Springer, vol. 10(3), pages 137-147, December.
- A. Arrighetti & F. Landini, 2018. "Eterogeneità delle imprese e stagnazione del capitalismo italiano," Economics Department Working Papers 2018-EP01, Department of Economics, Parma University (Italy).
- Anna Adamik & Michał Nowicki & Andrius Puksas, 2022. "Energy Oriented Concepts and Other SMART WORLD Trends as Game Changers of Co-Production—Reality or Future?," Energies, MDPI, vol. 15(11), pages 1-38, June.
- Weihua Liu & Yi Yang & Shuqing Wang & Enze Bai, 2017. "A scheduling model of logistics service supply chain based on the time windows of the FLSP’s operation and customer requirement," Annals of Operations Research, Springer, vol. 257(1), pages 183-206, October.
- Xianyu Zhang & Xinguo Ming, 2023. "A Smart system in Manufacturing with Mass Personalization (S-MMP) for blueprint and scenario driven by industrial model transformation," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 1875-1893, April.
- Hara, Reiya & Matsubayashi, Nobuo, 2017. "Premium store brand: Product development collaboration between retailers and national brand manufacturers," International Journal of Production Economics, Elsevier, vol. 185(C), pages 128-138.
- Jost, Peter-J. & Süsser, Theresa, 2020. "Company-customer interaction in mass customization," International Journal of Production Economics, Elsevier, vol. 220(C).
- Dandan He & Zhongfu Li & Chunlin Wu & Xin Ning, 2018. "An E-Commerce Platform for Industrialized Construction Procurement Based on BIM and Linked Data," Sustainability, MDPI, vol. 10(8), pages 1-21, July.
- Andrzej Szajna & Mariusz Kostrzewski, 2022. "AR-AI Tools as a Response to High Employee Turnover and Shortages in Manufacturing during Regular, Pandemic, and War Times," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
- Jha, Ashish K. & Bose, Indranil & Ngai, Eric W.T., 2016. "Platform based innovation: The case of Bosch India," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 250-265.
More about this item
Keywords
Industry 4.0; Internet of Things; crowdsourcing; crowdsensing;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:10:y:2018:i:3:p:24-:d:134086. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.