India’s growth story can continue if it streamlines and effectively manages its supply chain like the iconic dairy brand Amul that recently entered the US market. Amul formed a strategic partnership with the Michigan Milk Producers Association (MMPA) to facilitate…
IoT: Powering the Future of Digital Product Passports The Internet of Things (IoT) continues to impact how industries track products and manage data. This network of devices enables seamless, automatic data collection from physical objects in near real-time. IoT sensors…
Disruption has been the name of the game for more than a year as supply chain leaders have been dealing with changing buyer behaviors, inventory management challenges, labor shortages, weather and pandemic-related uncertainty, cyber security threats and capacity constraints that…
Supply chain modeling is essential to substantiated resiliency analysis and to the planning of risk responses. A supply chain model is the digital representation of the structure, product flows and policies of a physical supply chain. It is created by transforming data into predetermined structures, so that such data templates can be used in conjunction with mathematical algorithms, to determine improved future state structures, product flows and policies. Here’s a look at four areas of risk that can businesses can address through modeling and analytics.
I was recently informed of the new start-up company named TransVix that is developing a US trucking futures exchange market. Admittedly, my logistics research is focused more on warehousing than on transportation. However, I do have a solid understanding of…
IBM manages more than $30 billion a year as part of its supply chain, with thousands of supply chain managers and analysts worldwide. IBM is using Watson and huge troves of weather and location data - IBM acquired The Weather Company last year - to improve their supply chain risk management program.
