Arkieva Supply Chain Link Blog.
Creating the link between better supply chain planning and decisions.
RECENT POSTS
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.
Data Science Tools of the Trade: Monte Carlo Computer Simulation
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.
Investing in SCM Technology: Sense and Respond – A Vision from A Long Time Ago in A Galaxy Far, Far Away
Having a vision of the future is important to help coordinate SCM initiatives towards the “global good” – but having a vision is worthless without effective work in the trenches. In fact, a far better vision is “sense and respond” SAR which moves an organization from a big bang paradigm periodic driven approach that currently dominates SCM even in best in class organizations to an “as needed” basis.
SCM Technology Investment – INFORMS Provides Critical Information for Success
Before the current set of analytics and SCM experts, it was the OR/MS profession that drove the development and successful application of analytic and data methods to improve supply chain performance. INFORMS continues to lead in the ongoing challenge of more intelligent and responsive supply chains. In this blog, we will point out some keynote addresses from the current meeting of relevance to successful SCM technology investments.
Investing in SCM Technology: 6 Hints for Success – From a Long Time Ago in a Galaxy Far, Far Away
“Chaos, complexity, and uncertainty” often victimize an organization’s supply chain outstripping the ability of spreadsheet-based tools to respond intelligently. Sounds like 2020? In fact, this comes from one of the original Jedi Knights Dr. Harlan Crowder in a 1997 paper titled “Helpful Hints for OR/MS Consultants”. The purpose of this blog is to revisit this paper since the hints for success are as relevant now as they were then.
Investing in SCM Technology: Vision and Trenches – Lessons for a Successful Journey
The purpose of a vision in this journey is to create a focus on the implementation of decision technology as tools to overcome inherent organizational cognitive limitations of bounded rationality and uncertainty bias to improve SCM. This blog provides some critical lessons to protect a firm’s investment in technology.
5 Things to Consider When Starting Your Supply Chain Digital Transformation Journey
Digital Transformation is a popular term being used in today’s supply chain world. This can mean different things for your organization based on your company’s maturity. In this blog, you will learn the five key points to consider in a supply chain transformation journey.
Insight from Applied Statisticians for Forecasting: Is It Worth the Effort and the Mirage of Random Variation?
In this blog, we will illustrate through an example of these potential pitfalls (unanchored, random variation, and narrow metrics) and potential negative impact on a firm.
MAD versus Standard Deviation for a Uniform Distribution
In my last post, I talked about the relationship between the mean absolute deviation (MAD) and standard deviation (STDEV) for a normal distribution. Apparently, many people had never seen the math behind it, and I got questions about the same relationship for the case where the demand was not normally distributed.
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