In this blog post, we will briefly review some examples of being “COVID-19 adrift” with just data and then focus on the primary task – demonstrating how modeling can be used to understand the impact of group size on COVID-19 spread.

This blog will provide some basic information on CPIM to balance the SAIM focus of these webinars and most importantly position the two so that the oversight of inventory is coordinated.

Over the past few years, the chatter about the role of AI to “optimize” supply chain has been almost endless. Some of the material is great, other is hype, some conjecture, and in most cases, we will not know the impact...

For most involved in Supply Chain Management, optimization is viewed as one of the three primary methods to create a supply or central plan that matches or balances assets with demand. Historically effective use of space involved minimizing unused space or maximizing revenue from a fixed amount of space. COVID-19 has upset the social order.

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.

A common question is how to best manage safety stock for critical raw materials that are critical to the production of the exit product...

Picking up from where I left off in my previous blog, I will look at a few more scenarios in both short and long terms in this blog. Even though Brexit is the theme for these scenarios, the underlying principles apply to any situation with uncertainty in supply planning.

Two ongoing questions are: (1) when an organization migrates from an Excel-based central/supply/master plan is it best to go to a rule-based method or an optimization-based method and (2) is optimization a compass that identifies true north or is it an advanced navigation system. This blog outlines my view and alternative views on each question.

Inventory Forecasting is the process in which the historical sales data, historical purchasing data, current demand planning, planned production, and distribution resource plan data are used for predicting inventory levels in a future time period.

In my previous blog, I addressed how what-if analysis can help supply chains when faced with uncertainty. This blog is an attempt to delve into some specific what-if scenarios that could arise due to Brexit.

Where did the terms RCCP and MPS come from? Reading the recent blog “RCCP versus MPS – Can They Be Connected?” it struck me whether this question represents the current best in class or do they represent old terms as well as an old way of thinking that should not be the end goal of an organization any more when it comes to supply chain planning.

US and China have been at the forefront of a tariff battle that’s been going on for close to a year and a half now. Given the economic might of these two nations, the tariffs by both sides have not only affected them but have also had a domino effect on several other countries across continents.