These interesting times that we are currently living through have thrown open a lot of challenges. Organizations and decision-makers must be agile and innovative to overcome the challenges that COVID-19 has thrown at us. In India, we had 2 lockdown periods in the last 15 months. Being a supply chain student, I try to watch and analyze day-to-day situations with a lot of interest and I see one area that needs improvement when lockdowns are implemented.
Recently, we have heard about several product shortages and other issues in the supply chain. Let us try and make sense of some of these in this blog. As I live in the US, my experience is somewhat limited to what happened here.
Over the past year, the Arkieva Supply Chain Link Blog provided thought leadership and informative posts on supply chain strategy tips, trends, and news. Here we have compiled a list of our popular supply chain posts from 2020.
Today we will discuss a few of the logistics challenges from the perspective of an industry expert with lots of time in the trenches. Arkieva is ready to help Delaware.
Data Science Without Modeling Impact is a Path to Disaster – Simulation to Explore the Impact of Group Size on COVID-19 Spread
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.
Monte Carlo Discrete Event Computer Simulation is a particularly powerful and flexible “tool of the trade” for a wide range of challenges in supply chain and operations management. This blog provides some basics on MCDECS, the next blog will use MCDECS to explain why limiting the size of a gathering helps reduce the spread of COVID-19.
Over the past six months, significant progress has been made in understanding COVID-19 and reducing its health and economic impact. In this blog, we will not rehash this information, but to identify open issues in handling the current challenge of tackling COVID-19 and relate this to the challenge of managing supply chains.
The risk of viruses is often a topic of conversation in current times. One of the dominant questions at social gatherings is - what is a bigger risk (defined as serious illness) this fall and winter: regular virus (REGVIR) or COVID-19...
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.
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.