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Showing posts with the label #Supplychaintrends#AI#blockchain#futureofsupplychainmanagement

Blockchain, multi-agents and dynamic learning in supply chains

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Most of us in the supply chain professional community would not probably escape a day without noticing a story of how the blockchains are the talk of the 'supply chain town', with their ambitious claim to become the most promising step towards attaining the unvanquishable double T's of an agile supply chain network vis a vis traceability and transparency.There are two other wizkids of AI that promise to craft a more dynamic element to the plotline-:  intelligent multi-agents and dynamic learning . Here, I try to sketch a thread on possible interlude among these 3 game-changers in a relatively less explored context. Recently I was going through a research paper which was addressing the problem of supply chain disruption management with multi-agent based framework.Given that the treatment of problem was indeed , I found that the approach was silo-type with agents coordinating across enterprise legacy systems .The entire risk identification approach was centered on KPI benchma...

The Intelligent supply chain: 4 ways to re-imagine digital transformation

Supply chain needs to be even more intelligent and dynamic Let's imagine a new supply chain revolution,which might be fancy termed “phoenix of new supply chain movement” . How would such a supply chain be structured and what could be its salient features. What should be the principal underlying dimensions that the thought leaders and decision-makers need to focus when they engineer the intelligent supply chain architecture. As the anchor point, of my proposal, I would like to point out that there are 4 pillars of the futuristic supply chain model. They should embody the following- 1. Advanced digital models and sustainable ecosystems   The modern digital supply chain, needs to be primarily characterized by demand-driven pipeline, market-intelligent with a lifecycle value approach, and led by predictive analytics based decision frameworks. It has to be agile and flexible to meet challenges of rapidly changing real time environment. The digital artefacts needs to be characterized by ...

Artificial intelligence in supply chain management : Top 7 trends in 2020

The marriage between AI and supply chain management I n this article I attempt to provide a brief snapshot of  how the AI-powered systems are driving the supply chain management field in 2020. These may include trends that are impactful breakthrough but still maturing as a sustainable solution  as well as those in the post plateau and has matured into growth phase.  The area of dynamic and intelligent approach to supply chain management has drawn immense attention in later half of last decade.The explosive boom in the AI sector has undeniably cast a spell on the way supply chain and logistics industry has been conducting its processes. In the following list, along with the trend, I also mention a selecta of players in the particular technology/trend, and the way they are making an impact.                                               ...