It is often claimed that big data analytics and artificial intelligence improve our factual base for supply chain and logistics decision-making. Analy.
by air every year. every day. industry experts say more technology is needed to keep up with that travel demand. sumesh patel from aviation tech company sita told me about the benefits of using better technology. the first being the passenger processing. i mean, the passenger experience. this includes looking at technologies such as biometrics, self service automation, basically enabling the seamless passengerjourney. and giving the passenger more enhanced travel experience. the second key area where we see this technology helping is to focusing on the operation. looking at the business intelligence, artificial intelligence, machine learning technologies, looking at the airport management and disruption management. it will help maybe to address better
New funding from SE Ventures supports the climate resilience of utilities' electric grids and infrastructures by strengthening AiDash's satellite-powered vegetation management platform AiDash, a
As supplying adequate blood in multiple countries has failed due to the Covid-19 pandemic, the importance of redesigning a sensible protective-resilience blood supply chain is underscored. The outbreak-as an extensive disruption-has caused a delay in ordering and delivering blood and its by-products, which leads to severe social and financial loss to healthcare organizations. This paper presents a robust multi-phase optimization approach to model a blood supply network ensuring blood is collected efficiently. We evaluate the effectiveness of the model using real-world data from two mechanisms. Firstly, a Geographic Information System (GIS)-based method is presented to find potential alternative locations for blood donation centers to maximize availability, accessibility, and proximity to blood donors. Then, a protective mathematical model is developed with the incorporation of (a) blood perishability, (b) efficient collation centers, (c) multiple-source of suppliers, (d) back-up center