If you are thinking “machine learning and AI” will save you from data disasters – think again as the pandemic behavior is playing havoc with machine learning models.

An often-heard theme in supply chain management (SCM) and COVID-19 is “data-driven” – being data-driven is the path to success. For COVID-19 “science-driven” is often said in the same sentence. For SCM demand or customer-driven replaces “science”. This blog will point out a few examples in the COVID-19 challenge demonstrating COVID-19 is an OM challenge.

Arguably the two most important core components of managing the supply chain or demand-supply network are demand management (DM) and Central Planning (CP). CP is sometimes referred to as master planning or supply planning.

The current COVID-19 situation highlights the supply chain management challenges in any turbulent time.  In this blog we identify five key points: preparedness, larger good, anticipate, and not react to events, responsiveness, and an intelligent stochastic estimate of demand. 

For those that work regularly in the supply chain or managing the demand-supply network (DSN) models are commonplace to help with similar questions.  This blog will provide some basics about models that all will find helpful...

In a recent blog on Inventory Forecasting the core challenges and business importance of estimating inventory are outlined. A projected inventory position across time (plan) is a natural co-product of most central or master planning models that match assets with the demand to create a projected supply line linked to demand. 

The tragic outbreak of the Coronavirus has again demonstrated the need for ever vigilant health care services and fast response. It has demonstrated that supply chain interruptions from a manufacturing excursion to a port strike to an infectious disease outbreak require two actions from any firm: preparation and response.

For businesses, it’s a great opportunity to cash in on the seasonal spike in customer demand. However, every year it also poses a unique situation with equal challenges along with the opportunities.

Community Intelligence synchronizes the use of technologies in a manner that is focused on closing gaps in critical decision-making processes in the ongoing journey of more intelligent supply chains to improve organizational performance.

Use this guide to identify 10 key elements for evaluating your existing supply chain risk management strategies.

We are pleased to announce that due to the amazing support of Arkieva customers, Arkieva has been named as Leader in the 2019 Magic Quadrant for Sales and Operations Planning (S&OP) System of Differentiation (SOD).

Arkieva Customer, Linde PLC, is a leading supplier of industrial gases in the world. Linde has transformed its network optimization processes by creating a digital twin of its integrated supply chain with Arkieva. I sat down with Richard Wallington, Global Head of Bulk Supply Chain at Linde to find out more.