Supply Chain Management Using Blockchain Technology
Abstract
Blockchain technology has significant implications for supply chain management. The purpose of this article is to provide an overview of the use of blockchain technology in the supply chain. Although the technology has been popularly connected with cryptocurrencies, non-financial uses like as supply chain management, power generation, and the food sector are equally promising. Blockchain can give a permanent, shareable, and auditable record of items as they move through their supply chain, improving product traceability, authenticity, and legality at a lower cost. The possible benefits of blockchain technology in the instance of agribusiness were examined in this chapter. A case study for automobile manufacturing-micro factory using blockchain technology was also presented.
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).
