Supply chain using blockchain technology: analyses, issues, and future prospects
Abstract
It can be difficult to manage the integrity of products and procedures in a multi-stakeholder supply chain. Data fragmentation, a lack of verifiable provenance, and varying protocol rules across various distributions and processes plague many of the present solutions. Since it offers safe traceability and control, immutability, and the development of stakeholder confidence in a low cost IT solution, Blockchain has emerged as a top solution. The broad adoption of blockchain in supply chains is hampered by a number of factors, despite the fact that it is having a substantial influence in many other sectors.
References
Ahmad2, P. W. and S. N. (2019). Novel Photo Catalytic Sensor Output Calibration Technique. SSRG International Journal of VLSI & Signal Processing (SSRG-IJVSP), 6(1).
Ajay Rupani, P. (2019). The development of big data science to the world. Engineering Reports, 2(2), 1–7.
chouhan, S. (2019). Using an Arduino and a temperature, humidity sensor, Automate the fan speed. International Journal of Sustainable Development in Computing Science, 1(2).
Nadikattu, R. R., Mohammad, S. M., & Whig, P. (2020a). Novel economical social distancing smart device for covid-19. International Journal of Electrical Engineering and Technology (IJEET).
Pawan Whig 2 Anupam Priyam3, 1 S N Ahmad. (2018). Simulation & performance analysis of various R2R D/A converter using various topologies. International Robotics & Automation Journal, 4(2), 128–131.
Rupani, A., Whig, P., Sujediya, G., & Vyas, P. (2018b). Hardware implementation of iot-based image processing filters. Proceedings of the Second International Conference on Computational Intelligence and Informatics, 681–691.
Shridhar, J., Ruchin, & Whig, P. (2014). Design and simulation of power efficient traffic light controller (PTLC). 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014. https://doi.org/10.1109/IndiaCom.2014.6828157
Whig, P. (2019a). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1–10.
Whig, P. (2019b). Artificial intelligence and machine learning in business. Engineering Reports, 2(2), 8–13.
Whig, P. (2019c). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11–20.
Whig, P. (2019d). Helping India’s Farmers for Growth of Agriculture Sector. Acta Scientific Agriculture, 3(11), 01–01. https://doi.org/10.31080/asag.2019.03.0674
Whig, P. (2020). Novel PCS Output Calibration Technique. Available at SSRN 3621365.
Whig, P., & Ahmad, S. N. (2014a). CMOS integrated VDBA-ISFET device for water quality monitoring. International Journal of Intelligent Engineering and Systems, 7(1).
Whig, P., & Ahmad, S. N. (2014b). Development of economical ASIC for PCS for water quality monitoring. Journal of Circuits, Systems and Computers, 23(06), 1450079.
Whig, P., & Ahmad, S. N. (2014e). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.
Whig, P., & Ahmad, S. N. (2018a). Comparison analysis of various R2R D/A converter. Int J Biosen Bioelectron, 4(6), 275–279.
Whig, P., & Ahmad, S. N. (2018b). Novel pseudo PMOS ultraviolet photo catalytic oxidation (PP-UVPCO) sensor for air purification. Int Rob Auto J, 4(6), 393–398.
Whig, P., & Rupani, A. (2020a). Novel Economical Social Distancing Smart Device for COVID19. International Journal of Electrical Engineering and Technology, 2.
Gupta, K., & Jiwani, N. (2020). Effects of COVID-19 risk controls on the Global Supply Chain. Transactions on Latest Trends in Artificial Intelligence, 1(1).
