How Logistic and Supply Chain Management can be Organised with The use of Data Science and Analytics
The chunk of data produced and communicated over the Internet is gradually increasing day by day, thereby constructing challenges for the organizations that would like to reap the benefits from analyzing this enormous influx of big data. This is because big data can produce unique insights into, customer buying patterns, market trends, and maintenance cycles, as well as into ways of lowering costs and enabling more targeted business decisions.
Realizing the significance of big data business analytics, we review and classify the literature on the utilization of big data business analytics on logistics and supply chain management – that we define as supply chain analytics, based on the essence of analytics (descriptive, predictive, prescriptive) and the focus on the logistics and supply chain management (strategy and operations).
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To evaluate the extent to which supply chain analytics is practiced within logistics and supply chain management, we propose a maturity framework of supply chain analytics. We highlight the aspects of supply chain analytics in logistic and supply chain management and denote the benefit of methodologies and techniques to gather, disseminate, analyze, and use big data driven information. Additionally, we emphasis the requirement for managers to figure out big data business analytics and supply chain analytics as crucial capital that should be unified across business exercise to enable integrated enterprise business analytics. Finally, we draft the limitations of our study and future research directions.
Who says data science has finite applications? Logistic companies like DHL, FedEx, UPS, Kuhne+Nagel have used data science to improve their operational efficiency. Utilizing data science, these companies have identified the best routes to ship, the best suitable time to deliver, the best mode of transport to pick thus leading to cost efficiency, and much more to mention. Further more, the data that these companies produce using the GPS installed, provides them lots of possibilities to explore using data science.
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