IDEAS home Printed from https://ideas.repec.org/r/taf/tprsxx/v55y2017i9p2610-2621.html
   My bibliography  Save this item

Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Nguyen, Tiep & Duong, Quang Huy & Nguyen, Truong Van & Zhu, You & Zhou, Li, 2022. "Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 244(C).
  2. Guoqing Zhang & Yiqin Yang & Guoqing Yang, 2023. "Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America," Annals of Operations Research, Springer, vol. 322(2), pages 1075-1117, March.
  3. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
  4. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
  5. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  6. Syed Radzi Bin Rahamaddulla & Zulkiflle Leman & B. T. Hang Tuah Bin Baharudin & Siti Azfanizam Ahmad, 2021. "Conceptualizing Smart Manufacturing Readiness-Maturity Model for Small and Medium Enterprise (SME) in Malaysia," Sustainability, MDPI, vol. 13(17), pages 1-18, August.
  7. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
  8. Monica Shukla & Ravi Shankar, 2022. "Modeling of critical success factors for adoption of smart manufacturing system in Indian SMEs: an integrated approach," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1271-1303, December.
  9. Shenle Pan, 2019. "Opportunities of Product-Service System in Physical Internet," Post-Print hal-02155622, HAL.
  10. Vaibhav S. Narwane & Rakesh D. Raut & Sachin Kumar Mangla & Manoj Dora & Balkrishna E. Narkhede, 2023. "Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains," Annals of Operations Research, Springer, vol. 327(1), pages 339-374, August.
  11. Imran Bashir Dar & Muhammad Bashir Khan & Abdul Zahid Khan & Bahaudin G. Mujtaba, 2021. "A qualitative analysis of the marketing analytics literature: where would ethical issues and legality rank?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 242-261, September.
  12. Rohit Raj & Vimal Kumar & Pratima Verma, 2023. "Big data analytics in mitigating challenges of sustainable manufacturing supply chain," Operations Management Research, Springer, vol. 16(4), pages 1886-1900, December.
  13. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
  14. Jin, Minghui & Chen, Yang, 2024. "Has green innovation been improved by intelligent manufacturing?—Evidence from listed Chinese manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
  15. J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
  16. Xu, Su Xiu & Zhao, Zhiheng & Huang, George Q. & Ding, Yifang & Li, Ming & Feng, Jianghong, 2025. "A meta-auction for on-demand transportation procurement in industry 5.0," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
  17. Raut, Rakesh D. & Mangla, Sachin Kumar & Narwane, Vaibhav S. & Dora, Manoj & Liu, Mengqi, 2021. "Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
  18. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
  19. Cosmin Aron & Fabio Sgarbossa & Eric Ballot & Dmitry Ivanov, 2024. "Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3815-3836, December.
  20. Qin, Wei & Sun, Yan-Ning & Zhuang, Zi-Long & Lu, Zhi-Yao & Zhou, Yao-Ming, 2021. "Multi-agent reinforcement learning-based dynamic task assignment for vehicles in urban transportation system," International Journal of Production Economics, Elsevier, vol. 240(C).
  21. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
  22. Xu, Jinou & Pero, Margherita & Fabbri, Margherita, 2023. "Unfolding the link between big data analytics and supply chain planning," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  23. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).
  24. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).
  25. Tan, Bing Qing & Xu, Su Xiu & Kang, Kai & Xu, Gangyan & Qin, Wei, 2021. "A reverse Vickrey auction for physical internet (PI) enabled parking management systems," International Journal of Production Economics, Elsevier, vol. 235(C).
  26. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
  27. Pulin Li & Kai Cheng & Pingyu Jiang & Kanet Katchasuwanmanee, 2022. "Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 103-119, January.
  28. Lee, Jongsuk & Chua, Ping Chong & Liu, Bufan & Moon, Seung Ki & Lopez, Manuel, 2025. "A hybrid data-driven optimization and decision-making approach for a digital twin environment: Towards customizing production platforms," International Journal of Production Economics, Elsevier, vol. 279(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.