A “self-healing” supply chain needs to be based on a robust supply chain digital twin model that is updated with near real-time alerts.
On March 11, the World Health Organization officially classifying COVID-19 as a pandemic. At about that time widespread customer service issues surfaced across North America and Europe. Close to nine months later, we have seen some companies that handled these disruptions magnificently – they demonstrated supply chain agility. It is worth examining the playbook successful […]
Isn’t any model not based on paper and pencil a digital twin? What value does it add to call a supply planning model a digital twin? I thought it was hype. Supply chain planning executives disagree.
There are some young supply chain technologies that are getting a lot of buzz. But how mature are these technologies? Do they have a proven ROI? Are they worth piloting? Or can we safely ignore them for a few more years?
Oracle and SAP are the two largest suppliers of enterprise applications are also leaders in the supply chain planning (SCP) market, but the leadership is being contested. Their arguements for why customers should choose their planning solution go beyond their applications functionality. Interestingly, over time most enterprise applications markets consolidate. This is not happening in the SCP market.
Trying to understand and implement artificial intelligence (AI) for your supply chain network during your digital transformation efforts, or let alone finding the right partner in your journey, is like walking in an enchanted forest full of myths, ogres, and lost souls trying to find a way out. Finding the right path in there to an eternal bliss starts with knowing what is not right. Implementing AI is not a small feat and you may get bombarded with vague definitions and stories about how AI makes the world a better place. Let’s look at a few common myths you may come face to face with in your quest to transform your supply chain network by using AI while going digital in your organization.
There are twenty things companies need to know if they are contemplating a digital supply chain transformation. One thing that is very important, is that they learn about a new set of solutions called Supply Chain Collaboration Networks.
One area of interest in today’s end-to-end supply chain is machine learning. And this is certainly a topic that we have written about quite often. Over the last few months, Steve Banker, Clint Reiser, and I have written about artificial intelligence and machine learning in a number of contexts and how it impacts the supply […]
Bonds had a yield curve inversion on August 14th. This often often signals a recession within about 14 months. Demand planning is difficult in these circumstances. This article discusses how supply chain teams can do better in these circumstances.
On Thursday, yield curves inverted and the stock market tanked. An inverted yield curve signals a recession in 14 to 20 months. Companies need to prepare by developing more agile supply chains. Integrated business planning and supplier risk management are critical tools.