A Comprehensive Study on Drones and Big Data for Supply Chain Optimization Using a Novel Approach
This research paper aims to provide qualitative and quantitative insights regarding the application of drones and big data techniques in the SCM field through a new scientific method. The proposed method exploits the opportunities of drones for real-time data capturing and big data technologies to enrich decision making in supply chain. The study is pertinent to modern tendencies in supply chain systems and proves the efficiency of the new method through the precise calculations and contrastive analysis. The following are some of the findings that suggest efficiency, cost decrease, and outstanding performance of the supply chain. The studies being offered in this research will prove beneficial for practitioners and researchers who endeavor to advance the concepts and practice of logistics and supply chain management.
Authors
- Rama Chaithanya Tanguturi (ORCID: https://orcid.org/0000-0002-9923-7360)
- D Palanikkumar
- Dankan Gowda (ORCID: https://orcid.org/0000-0003-0724-0333)
- N Suganthi.
- Sanjog Thapa
- A.S. Malleswari
Institutions
- Lamar University (US)
- Woxsen School of Business (IN)
- Aditya Birla (India) (IN)
- Dr. Hari Singh Gour University (IN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/acet61898.2024.10730723
- Citations
- 3
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 2.34