Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM)

References

• Aghamohammadzadeh, E., M. Malek, and O. F. Valilai. 2020. “A Novel Model for Optimisation of Logistics and Manufacturing Operation Service Composition in Cloud Manufacturing System Focusing on Cloud-Entropy.” International Journal of Production Research 58 (7): 1987–2015.
   Web of Science ®Google Scholar
• Ben-Daya, M., E. Hassini, and Z. Bahroun. 2019. “Internet of Things and Supply Chain Management: A Literature Review.” International Journal of Production Research 57 (15–16): 4719–4742.
   Web of Science ®Google Scholar
• Bi, Z. M. 2011. “Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability.” Journal of Sustainability 3 (9): 1323–1340.
   Web of Science ®Google Scholar
• Bi, Z. M., and D. Cochran. 2014. “Big Data Analytics with Applications.” Journal of Management Analytics 1 (4): 249–265.
   Google Scholar
• Bi, Z. M., and S. Y. T. Lang. 2007. “A Framework for CAD and Sensor Based Robotic Coating Automation.” IEEE Transactions on Industrial Informatics 3 (1): 84–91.
   Web of Science ®Google Scholar
• Bi, Z. M., S. Y. T. Lang, W. Shen, and L. Wang. 2008. “Reconfigurable Manufacturing: The State of the Art.” International Journal of Production Research 46 (4): 967–992.
   Web of Science ®Google Scholar
• Bi, Z. M., Y. F. Liu, J. Krider, J. Buckland, A. Whiteman, D. Beachy, and J. Smitch. 2018. “Real-Time Force Monitoring of Smart Grippers for Internet of Things (IoT) Applications.” Journal of Industrial Information Integration. doi:10.1016/j.jii.2018.02.004.
   Web of Science ®Google Scholar
• Bi, Z. M., Z. H. Miao, B. Zhang, and W. J. Zhang. 2021. “Framework for Performance Assessment of Heterogeneous Robotic Systems.” IEEE Systems Journal 15 (1): 1191–1201.
   Web of Science ®Google Scholar
• Bi, Z. M., and L. Wang. 2013. “Chapter 5: Manufacturing Paradigm Shift Towards Better Sustainability.” In Cloud Manufacturing, 99–119. London: Springer-Verlag. ISBN: 978-1-4471-4934-7.
   Google Scholar
• Bi, Z. M., and X. Q. Wang. 2020. Computer Aided Design and Manufacturing (CAD/CAM). Hoboken, NJ: Wiley.
   Google Scholar
• Bi, Z. M., G. Wang, and L. Xu. 2016. “A Visualization Platform for Internet of Things in Manufacturing Applications.” Internet Research 26 (2): 377–401.
   Web of Science ®Google Scholar
• Bi, Z. M., G. Wang, L. D. Xu, M. Thompson, R. Mir, J. Nyikos, A. Mane, C. Witte, and C. Sidwell. 2017. “IoT-based System for Communication and Coordination of Football Robot Team.” Internet Research 27 (3): 162–181.
   Web of Science ®Google Scholar
• Bi, Z. M., L. D. Xu, and C. Wang. 2014. “Internet of Things for Enterprise Systems of Modern Manufacturing.” IEEE Transactions on Industrial Informatics 10 (2): 1537–1546.
   Web of Science ®Google Scholar
• Bi, Z. M., and W. J. Zhang. 2001. “Modularity Technology in Manufacturing: Taxonomy and Issues.” The International Journal of Advanced Manufacturing Technology 18 (5): 381–390.
   Web of Science ®Google Scholar
• Brad, S., M. Murar, and E. Brad. 2018. “Design of Smart Connected Manufacturing Resources to Enable Changeability, Reconfiguration, and Total-Cost-of-Ownership Models in the Factory-of-the-Future.” International Journal of Production Research 56 (6): 2269–2291.
   Web of Science ®Google Scholar
• Buer, S.-V., J. O. Strandhagen, and F. T. S. Chan. 2018. “The Link Between Industry 4.0 and Lean Manufacturing: Mapping Current Research and Establishing a Research Agenda.” International Journal of Production Research 56 (8): 2924–2940.
   Web of Science ®Google Scholar
• Chae, B., and D. Olson. 2021. “Technologies and Applications of Industry 4.0: Insights from Network Analytics.” International Journal of Production Research. doi:10.1080/00207543.2021.1931524.
   PubMed Web of Science ®Google Scholar
• Cheng, T., C. Edwin, S. S. Kamble, A. Belhadi, N. O. Ndubisi, K.-H. Lai, and M. G. Kharat. 2021. “Linkages Between Big Data Analytics, Circular Economy, Sustainable Supply Chain Flexibility, and Sustainable Performance in Manufacturing Firms.” International Journal of Production Research. doi:10.1080/00207543.2021.1906971.
   PubMed Web of Science ®Google Scholar
• Cloud Security Alliance. 2013. “ Big Data Analytics for Security Intelligence.” https://downloads.cloudsecurityalliance.org/initiatives/bdwg/Big_Data_Analytics_for_Security_Intelligence.pdf.
   Google Scholar
• Cochran, D., Yong-Suk Kim, Joseph Foley, and Z. M. Bi. 2017. “Use of the Manufacturing System Design Decomposition for Comparative Analysis and Effective Design of Production Systems.” International Journal of Production Research 55 (3): 870–890.
   Web of Science ®Google Scholar
• Cochran, D., D. Kinard, and Z. M. Bi. 2016. “Manufacturing System Design Meets big Data Analytics for Continuous Improvement.” Procedia CIRP 50: 647–652.
   Google Scholar
• Ding, K., F. T. S. Chan, X. Zhang, G. Zhou, and F. Zhang. 2019. “Defining a Digital Twin-Based Cyber-Physical Production System for Autonomous Manufacturing in Smart Shop Floors.” International Journal of Production Research 57 (20): 6315–6334.
   Web of Science ®Google Scholar
• Dotoli, M., A. Fay, M. Miskowicz, and C. Seatzu. 2019. “An Overview of Current Technologies and Emerging Trends in Factory Automation.” International Journal of Production Research 57 (15–16): 5047–5067.
   Web of Science ®Google Scholar
• Elvesæter, B. 2007. “ Enterprise Architecture (EA), Service-Oriented Architecture (SOA).” Web Services Architecture (WSA), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.648.6888&rep=rep1&type=pdf.
   Google Scholar
• Eslami, Y., M. Lezoche, H. Panetto, and M. Dassisti. 2020. “On Analyzing Sustainability Assessment in Manufacturing Organization: a Survey.” International Journal of Production Research. doi:10.1080/00207543.2020.1755066.
   Web of Science ®Google Scholar
• Farooqui, A., K. Bengtsson, P. Falkman, and M. Fabian. 2020. “Towards Data-Driven Approaches in Manufacturing: An Architecture to Collect Sequences of Operations.” International Journal of Production Research 58 (16): 4947–4963.
   Web of Science ®Google Scholar
• FEAPO. 2018. “ The guide to careers in enterprise architecture.” https://feapo.org/wp-content/uploads/2018/10/Guide-to-Careers-in-Enterprise-Architecture-v0.5-clean-copy-copy.pdf.
   Google Scholar
• Fredendall, L. D., and T. J. Gabriel. 2019. “ Manufacturing complexity: A Quantitative Measure.” https://pdfs.semanticscholar.org/39c5/b53dd70414acae58532a0a8010193af221d3.pdf.
   Google Scholar
• Gao. 2000. “ A Practical Guide to Federal Enterprise Architecture.” https://www.gao.gov/special.pubs/eaguide.pdf.
   Google Scholar
• Gu, F., J. Guo, P. Hall, and X. Gu. 2019. “An Integrated Architecture for Implementing Extended Producer Responsibility in the Context of Industry 4.0.” International Journal of Production Research 57 (5): 1458–1477.
   Web of Science ®Google Scholar
• Gunnasekaran, A., Y. Y. Yusuf, E. O. Afeleye, and T. Papadopoulos. 2018. “Agile Manufacturing Practice: The Role of big Data and Business Analytics with Multiple Case Studies.” International Journal of Production Research 56 (1–2): 385–397.
   Web of Science ®Google Scholar
• Gunnasekaran, A., Y. Y. Yusuf, E. O. Afeleye, T. Papadopoulos, D. Kovvuri, and D. A. G. Geyi. 2019. “Agile Manufacturing Practice: An Evolutionary Review of Practices.” International Journal of Production Research 57 (15–16): 5154–5174.
   Web of Science ®Google Scholar
• Hong, Z., H. Zhang, Y. Gong, and Y. Yu. 2021. “Towards a Multi-Party Interaction Framework: State-of-the-Art Review in Sustainable Operations Management.” International Journal of Production Research. doi:10.1080/00207543.2021.1894368.
   PubMed Web of Science ®Google Scholar
• Hwang, G., J. Lee, J. Park, and T.-W. Chang. 2017. “Development Performance Measurement System for Internet of Things and Smart Factory Environment.” International Journal of Production Research 55 (9–10): 2590–2602.
   Web of Science ®Google Scholar
• Isik, F. 2010. “An Entropy-Based Approach for Measuring Complexity in Supply Chains.” International Journal of Production Research 48 (12): 3681–3696. 10.1080/00207540902810593ff. ffhal-00583571f https://hal.archives-ouvertes.fr/hal-00583571/document.
   Web of Science ®Google Scholar
• Ivanov, D., C. S. Tang, A. Dolgui, D. Battini, and A. Das. 2021. “Researchers’ Perspectives on Industry 4.0: Multi-Disciplinary Analysis and Opportunities for Operations Management.” International Journal of Production Research 59 (7): 2055–2078.
   Web of Science ®Google Scholar
• Kamble, S. S., and A. Gunasekaran. 2020. “Big Data-Driven Supply Chain Performance Measurement System: a Review and Framework for Implementation.” International Journal of Production Research 58 (1): 65–86.
   Web of Science ®Google Scholar
• Karamchandani, A., S. K. Srivastava, S. Kumar, and A. Srivasava. 2021. “Analysing Perceived Role of Blockchain Technology in SCM Context for the Manufacturing Industry.” International Journal of Production Research. doi:10.1080/00207543.2021.1883761.
   PubMed Web of Science ®Google Scholar
• Kawasmi, M. 2018. “ Digital Manufacturing & Operations.” http://online.spellboundme.com/sap/nowksa2018-original/assets/2-mohammad-kawasmi-digital-manufacturing-and-its-potentials.pdf.
   Google Scholar
• KPMG. 2018. “ Supply Chain Big Data Series Part 1.” https://advisory.kpmg.us/content/dam/advisory/en/insights/pdfs/2018/supply-chain-big-data-part-1-shaping-tomorrow.pdf.
   Google Scholar
• Kumar, R., L. Ganapathy, R. Gokhale, and M. K. Tiwari. 2020. “Quantitative Approaches for the Integration of Production and Distribution Planning in the Supply Chain: a Systematic Literature Review.” International Journal of Production Research 58 (11): 3527–3553.
   Web of Science ®Google Scholar
• Kusiak, A. 2018. “Smart Manufacturing.” International Journal of Production Research 56 (1–2): 508–517.
   Web of Science ®Google Scholar
• Kusiak, A. 2021. “Universal Manufacturing: Enablers, Properties, and Models.” International Journal of Production Research. doi:10.1080/00207543.2021.1894370.
   PubMed Web of Science ®Google Scholar
• Leng, J., and P. Jiang. 2018. “Evaluation Across and Within Collaborative Manufacturing Networks: A Comparison of Manufacturers’ Interactions and Attributes.” International Journal of Production Research 56 (15): 5131–5146.
   Web of Science ®Google Scholar
• Liu, F., Z. M. Bi, Q. Gao, Q.-Y. Yang, and R.-L. Ge. 2015. “An Integrated Systems Approach to Plateau Ecosystem Management – A Scientific Application in Qinghai and Tibet Plateau.” Information Systems Frontiers 17 (2): 337–350.
   Web of Science ®Google Scholar
• Machado, C. G., M. P. Winroth, and E. H. D. R. da Silva. 2020. “ Sustainable Manufacturing in Industry 4.0: An Emerging Research Agenda.” International Journal of Production Research 58 (5): 1462–1484.
   Web of Science ®Google Scholar
• Maheshwari, S., P. Gautam, and C. K. Jaggi. 2020. “Role of Big Data Analytics in Supply Chain Management: Current Trends and Future Perspectives.” International Journal of Production Research 59 (6): 1875–1900.
   Web of Science ®Google Scholar
• Meriton, R., R. Bhandal, G. Graham, and A. Brown. 2020. “An Examination of the Generative Mechanisms of Value in big Data-Enabled Supply Chain Management Research.” International Journal of Production Research. doi:10.1080/00207543.2020.1832273.
   Web of Science ®Google Scholar
• Mittal, S., M. A. Khan, J. K. Purohit, K. Menon, D. Romero, and T. Wuest. 2020. “A Smart Manufacturing Adoption Frameworks for SMEs.” International Journal of Production Research 58 (5): 1555–1573.
   Web of Science ®Google Scholar
• Moeuf, A., R. Pellerin, S. Lamouri, S. Tamayo-Giraldo, and R. Barbaray. 2018. “The Industrial Management of SMEs in the Era of Industry 4.0.” International Journal of Production Research 56 (3): 1118–1136.
   Web of Science ®Google Scholar
• Pan, S., L. Wang, K. Wang, Z. M. Bi, S. Shan, and B. Xu. 2014. “A Knowledge Engineering Framework for Identifying Key Impact Factors from Safety-Related Accident Cases.” Systems Research and Behavioral Science 31 (3): 383–397.
   Web of Science ®Google Scholar
• Park, K. T., Y. H. Son, and S. D. Noh. 2020. “The Architectural Framework of a Cyber-Physical Logistics System for Digital-Twin-Based Supply Chain Control.” International Journal of Production Research. doi:10.1080/00207543.2020.1788738.
   Web of Science ®Google Scholar
• Qiao, F., J. Liu, and Y. Ma. 2020. “Industrial big-Data-Driven and CPS-Lbased Adaptive Production Scheduling for Smart Manufacturing.” International Journal of Production Research. doi:10.1080/00207543.2020.1836417.
   Web of Science ®Google Scholar
• Rachuri, S. 2019. “ Focus Group: Big Data Analytics for Smart Manufacturing Systems.” https://www.nist.gov/sites/default/files/documents/itl/iad/Big-Data-Analytics-for-Smart-Manufacturing-Systems-Report.pdf.
   Google Scholar
• Sahoo, S. 2021. “Big Data Analytics in Manufacturing: a Bibliometric Analysis of Research in the Field of Business Management.” International Journal of Production Research. doi:10.1080/00207543.2021.1919333.
   PubMed Web of Science ®Google Scholar
• Särestöniemi, M., C. Pomalaza-Ráez, Z. M. Bi, T. Kumpuniemi, C. Kissi, M. Sonkki, M. Hämäläinen, and J. Iinatti. 2019. “Comprehensive Study on the Impact of Sternotomy Wires on UWB WBAN Channel Characteristics on the Human Chest Area.” IEEE Access 7 (1): 74670–74682. doi:10.1109/ACCESS.2019.2920067.
   Web of Science ®Google Scholar
• SAS. 2014. “ Big Data Meets Big Data Analytics: Three Key Technologies for Extracting Real-Time Business Value from the Big Data that Threatens to Overwhelm Traditional Computing Architectures.” http://www.sas.com/content/dam/SAS/en_us/doc/whitepaper1/big-data-meets-big-data-analytics-105777.pdf.
   Google Scholar
• Siemens. 2015. “ Industrie 4.0 – Digitalization Strategy.” https://www.iotone.com/files/pdf/vendor/Digital_Factory_(Siemens)_Industrie_4.0_Digitalization_Strategy_2015.pdf.
   Google Scholar
• Siemens. 2019a. “ Digital Manufacturing - A Holistic Approach to the Complete Product Lifecycle.” https://www.industry.usa.siemens.com/automation/us/en/formsdocs/Documents/AMAR_UTO1_0715_Digital_Manufacturing.pdf.
   Google Scholar
• Siemens. 2019b. “ Digital Manufacturing.” https://www.plm.automation.siemens.com/global/en/our-story/glossary/digital-manufacturing/13157.
   Google Scholar
• Sönmez, O. E., and V. T. Koç. 2015. “On Quantifying Manufacturing Flexibility: an Entropy Based Approach.” Proceedings of the World Congress on Engineering WCE 2015, Vol. II, London, U.K, July 1–3.
   Google Scholar
• Talwara, S., P. Kaurbc, S. F. Wambad, and A. Dhirefc. 2021. “Big Data in Operations and Supply Chain Management: a Systematic Literature Review and Future Research Agenda.” International Journal of Production Research 59 (11): 3509–3534.
   Web of Science ®Google Scholar
• Tao, F., F. Sui, A. Liu, Q. Qi, M. Zhang, B. Song, Z. Guo, S. C.-Y. Lu, and A. Y. C. Nee. 2019. “Digital Twin-Driven Production Design Framework.” International Journal of Production Research 57 (12): 3935–3953.
   Web of Science ®Google Scholar
• Vailler, C. 2017. “ To Get Ahead in the Era of Digital Disruption, Manufacturers Need to.” http://www.european-big-data-value-forum.eu/wp-content/uploads/2017/12/Cyril-VAILLER-CISCO-EBDVF17.pdf.
   Google Scholar
• Vermesan, O., and P. Friess. 2016. Digitising the Industry Internet of Things Connecting the Physical, Digital and Virtual Worlds. Denmark: River Publishers.
   Google Scholar
• Viriyasitavat, W., L. Xu, and Z. M. Bi. 2020. “ Specification Patterns of Service-Based Applications Using Blockchain Technology.” IEEE Transactions on Computational Social Systems 7 (4): 886–896.
   Web of Science ®Google Scholar
•  Viriyasitavat, W., L. D. Xu, Z. M. Bi, and A. Sapsomboon. 2020. “Blockchain-based Business Process Management (BPM) Framework for Service Composition in Industry 4.0.” Journal of Intelligent Manufacturing 31 (7): 1737–1748.
   Web of Science ®Google Scholar
• Viriyasitayat, W., L. Xu, and Z. M. Bi. 2019. “Blockchain and Internet of Things for Modern Business Process in Digital Economy – The State of the art.” IEEE Transactions on Computational Social Systems 6 (6): 1420–1432.
   Web of Science ®Google Scholar
• Viriyasitayat, W., L. Xu, Z. M. Bi, and D. Hoonsopon. 2019. “Blockchain Technology for Applications in Internet of Things – Mapping from System Design Perspective.” IEEE Internet of Things Journal 6 (5): 8155–8168.
   Web of Science ®Google Scholar
• Viriyasitayat, W., L. Xu, Z. M. Bi, D. Hoonsopon, and N. Charoenruk. 2019. “Managing QoS of Internet-of-Thing Services Using Blockchain.” IEEE Transactions on Computational Social Systems 6 (6): 1357–1368.
   Web of Science ®Google Scholar
• Vrabič, R., and P. Butala. 2012. “Assessing Operational Complexity of Manufacturing Systems Based on Statistical Complexity.” International Journal of Production Research 50 (14): 3673–3685.
   Web of Science ®Google Scholar
• Wang, C., Z. M. Bi, and L. D. Xu. 2014. “IoT and Cloud Computing in Automation of Assembly Modeling Systems.” IEEE Transactions on Industrial Informatics 10 (2): 1426–1434.
   Web of Science ®Google Scholar
• Wang, X., S. K. Ong, and A. Y. C. Nee. 2018. “A Comprehensive Survey of Ubiquitous Manufacturing Research.” International Journal of Production Research 56 (1–2): 604–628.
   Web of Science ®Google Scholar
• Wikipedia. 2021a. “ NIST Enterprise Architecture Model.” https://enacademic.com/dic.nsf/enwiki/11787933.
   Google Scholar
• Wikipedia. 2021b. “ Internet of Things.” https://en.wikipedia.org/wiki/Internet_of_things.
   Google Scholar
• Wikipedia. 2021c. “ Digital Twin.” https://en.wikipedia.org/wiki/Digital_twin.
   Google Scholar
• Williams, T. J. 1994. “ The Purdue Enterprise Reference Architecture and Methodology (PERA).” http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.194.6112&rep=rep1&type=pdf.
   Google Scholar
• Xu, L. D., E. L. Xu, and L. Li. 2018. “Industry 4.0: State of the art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962.
   Web of Science ®Google Scholar
• Zdravkovic, M., J. Zdravkovic, A. Aubry, N. Moalla, W. Guedria, and J. Sarraipa. 2018. “Domain Framework for Implementation of Open IoT Ecosystems.” International Journal of Production Research 56 (7): 2552–2569.
   Web of Science ®Google Scholar
• Zhang, Q., X. Lu, Z. Peng, and M. Ren. 2019. “Perspective: A Review of Lifecycle Management Research on Complex Products in Smart-Connected Environments.” International Journal of Production Research 57 (21): 6758–6779.
   Web of Science ®Google Scholar