• Non ci sono risultati.

4 Conclusions

4.3 Ideas for future research

Nowadays, technology is making progresses very quickly. It will certainly be possible to find more effective solutions than those proposed in the coming years. However, this work can be considered as a theoretical proposal that lacks a practical implementation that could be carried out in the near future to verify qualitatively and quantitatively the achievable improvements. To do this, a validation process is necessary at the end of which a comparison can be made between the Traditional and Digital Supply Chain to better understand the benefits that the digitalization can bring in the Supply Chain processes.

74

References

Ahram, T., Sargolzaei, A., Sargolzaei, S., Daniels, J., Amaba, B. (2017), “Blockain Technology Innovations”, Technology & Engineering Management Conference (TEMSCON).

Almaslamani, Farah & Abuhussein, Raneem & Saleet, H. & Abuhilal, Laith &

Santarisi, Nader. (2020). Using Big Data Analytics to Design an Intelligent Market Basket-Case Study at Sameh Mall.

Aoki, K., Staeblein, T. (2015), “Planning and scheduling in the automotive industry: A comparison of industrial practice at German and Japanese makers”, International Journal of Production Economics, Vol. 162, pp. 258-272.

Battini, D., Boysen, N., Emde, S. (2013), “Just-in-Time supermarkets for part supply in the automobile industry”, Journal of Management Control, Vol. 24, No. 2, pp. 209–217.

Beamon, B. M., (1998), “Supply Chain Design and Analysis: Models and Methods”, International Journal of Production Economics, Vol. 55, No. 3, pp. 281-294.

Biswal S. and Sabareesh G. R., "Design and development of a wind turbine test rig for condition monitoring studies," 2015 International Conference on Industrial Instrumentation and Control (ICIC), 2015, pp. 891-896.

Boysen, N., Emde, S., Hoeck, M., Kauderer, M. (2014), “Part Logistics in the Automotive Industry: Decision Problems, Literature Review and Research Agenda”, European Journal of Operational Research, Vol. 242, No. 1, pp. 107-120.

Brandwein, D, Scholz-Reiter, B., Ruthenbeck, C., Werthmann, D. (2013),

“Standardized Information Exchange in Automotive Distribution Processes”, IFAC Proceedings Volumes, Vol. 46, No. 9, 2013, pp. 670-675.

75

Christidis, K., Devetsikiotis, M. (2016), “Blockchains and Smart Contracts for the Internet of Things”, IEEE Access, Vol. 4, pp. 2292-2303.

Cucchietti G. (2017), “Digital Supply Chain nel settore Automotive: studio di possibili applicazioni”, Torino.

Daud A. and Zailani S., “Lean supply chain practices and performance in the context of malaysia,” Supply Chain Management–Pathways for Research and Practice, p. 1, 2011.

Dias P., Silva F.J.G., Campilho R.D.S.G., Ferreira L.P., Santos T., Analysis and Improvement of an Assembly Line in the Automotive Industry, Procedia Manufacturing, Volume 38, 2019, Pages 1444-1452, Pages 381-392.

Engineering Review (2017), “Importance of conveyors in automation system”.

Fan X., “Progress on RFID technology application in logistics industry,” in 2010 International Conference of Logistics Engineering and Management, 2010, pp. 2375–2381. Management, 2010, pp. 2375–2381.

Frankenfield J. (2020), “Cloud Computing”.

Garg, S., & Buyya, R. (2012). Green cloud computing and environmental sustainability. In Murugesan, S., & Gangadharan, G. (Eds.), Har-nessing Green IT:

Principles and Practices (pp. 315–340).

Gebhard, M., Hartmann, E., Herrmann, S., Rogers, H. (2015), “Co-creating value in the Automotive Supply Chain: an RFID Application for Processing Finished Vehicles”, Production Planning & Control, Vol. 26, No. 12, pp. 981-993.

Gobetto, M. (2014), Operations Management in Automotive Industries, Springer, Berlin, Germany.

Grimshaw J. (2020), “What is supply chain? A definitive guide.”

76

Hayes A. (2020), Augmented Reality, Investopedia.

Heizenrader. (2019, September 11). The 3 Types of Virtual Reality.

Hlaing, Ni & Naing, Ma & Naing, San. (2019). GPS and GSM Based Vehicle Tracking System. International Journal of Trend in Scientific Research and Development. Volume-3. 271-275.

Holweg, M., Miemczyk, J. (2004), “Building Cars to Customer Order – What Does It Mean for Inbound Logistics Operations?”, Journal of business logistics, Vol. 25, No. 2, pp. 171-197.

Holweg, M., Pil, F. K. (2001), “Successful Build-to-Order Strategies Start with the Customer”, Sloan Management Review, Vol. 43, No. 1, pp.74-83.

Hua, S. Y., Johnson, D. J. (2007), “Research Issues on Factors Influencing the Choice of Kitting versus Line Stocking”, International Journal of Production Research, Vol. 48, No. 3, pp. 779-800.

Jamaludin, Z., Huong, C.Y., Abdullah, L., Nordin, M.H., Abdullah, M.F., Haron, R., & Jalal, K.B. (2018). Automated Tracking System Using RFID for Sustainable Management of Material Handling in an Automobile Parts Manufacturer. Journal of Telecommunication, Electronic and Computer Engineering, 10, 35-40.

Javad Majrouhi Sardroud, Influence of RFID technology on automated management of construction materials and components, Scientia Iranica, Volume 19, Issue 3, 2012.

Jenkins A. (2020), “Digital Supply Chain explained”

Joshi, Archana & Han, Meng & Wang, Yan. (2018). A survey on security and privacy issues of blockchain technology. Mathematical Foundations of Computing.

1. 121-147.

77

Joshi, N. (2019). 3 ways AR for warehouse management | Augmented Reality

Keenan, M. (2021) “What Is RFID Technology and How Can I Use It?”

Keil, J. (2022). How Can Cloud Computing and Blockchain Reduce the Bullwhip Effect in Supply Chain? | Infopulse

Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing - The business perspective. Decision Support Systems Journal, 51(1), 176–189.

Matthews K. (2018), “6 Industries that have been improved by robotic automation”.

McClelland C. (2016), “IoT Explained - How Does an IoT System Actually Work?”

McPherson, A. (2010). How private equity firms can use software as a service to improve portfolio company management.

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institution of Standards and Technology

Mia Delic, Daniel R. Eyers (2020), The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry, International Journal of Production Economics.

Mitchell, C. (2020). “Virtual Reality”, Investopedia.

PWC (2016) “Industry 4.0: How digitalization makes the supply chain efficient, agile, and customer focused”.

Rodriguez A., Bourne D., M. Mason, Rossano G. F. and Wang J., (2010) "Failure detection in assembly: Force signature analysis," 2010 IEEE International Conference on Automation Science and Engineering, 2010, pp. 210-215.

78

Schramm, T., Wright, J., Seng, D., & Jones, D. (2010). Six questions every supply chain executive should ask about cloud computing.

Schrödl, H., & Turowski, K. (2011). SCOR in the cloud – Potential of cloud computing for the optimization of supply chain management systems.

Silva N, Barros J, Santos MY, Costa C, Cortez P, Carvalho MS, Gonçalves JNC.

(2021), Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry. Electronics.

Sujay, R. (2011). Hybrid cloud: A new era. International Journal of Computer Science and Technology, 2(2), 323–326.

Susto G. A., Schirru A., Pampuri S., McLoone S. and Beghi A., "Machine Learning for Predictive Maintenance: A Multiple Classifier Approach," in IEEE Transactions on Industrial Informatics, vol. 11, no. 3, pp. 812-820, June 2015.

Suthikarnnarunai, N. (2008), “Automotive Supply Chain and Logistics Management”, International Multi Conference of Engineers and Computer Scientists, 19-21 March 2008, Hong Kong.

Tan, Z. (2021). Internet of Things Technology and Its Practice in Smart Warehouse Management.

Thorsten Wuest, Daniel Weimer, Christopher Irgens & Klaus-Dieter Thoben (2016) Machine learning in manufacturing: advantages, challenges, and applications, Production & Manufacturing Research, 4:1, 23-45.

Toka, Agorasti & Aivazidou, Eirini & Arvanitopoulos-Darginis, Konstantinos &

Antoniou, Antonios. (2013). Cloud Computing in Supply Chain Management: An Overview.

79

Xu J., Yang Z., Fang H. (2021) Raw Material Traceability of Industrial Control System Based on Blockchain.

Visited Websites

[1] https://scor.ascm.org/processes/introduction

[2] https://www.ibm.com/topics/supply-chain-management [3] https://www.oracle.com/it/internet-of-things/what-is-iot/

[4] https://www.surecontrols.com/what-is-industrial-automation/

[5]https://www.electricaltechnology.org/2015/09/what-is-industrialautomation.html [6] https://www.sael.it/en/paper-automation/

[7] https://www.techmec.it/fresatrice-cnc/

[8] https://www.slideshare.net/Aakashkumar276/industrial-automation-plcscada [9] https://nexusintegra.io/automation-in-industry-4-0/

[10] https://www.redhat.com/it/topics/cloud-computing/what-is-iaas [11]https://mitsloan.mit.edu/ideas-made-to-matter/additive-manufacturing-explained

[12]https://www.twi-global.com/technical-knowledge/faqs/what-is-additive-manufacturing

[13]https://www.inductiveautomation.com/resources/article/what-is-hmi#:~:text=A%20Human%2DMachine%20Interface%20(HMI,context%20of%20 an%20industrial%20process.

[14] https://www.automationworld.com/

[15]https://www.mindtools.com/pages/article/newTMC_5W.htm

[16]https://searcherp.techtarget.com/definition/bullwhipeffect#:~:text=The%20bull whip%20effect%20is%20a,involved%20in%20cracking%20a%20whip.

[17] https://www.youredi.com/blog/10-reasons-why-integration-projects-fail

Documenti correlati