Dr. Ken Fordyce

About Dr. Ken Fordyce

Before joining Arkieva, he had a very successful 36-year career with IBM, much of it in all aspects of supply chain (to use Intel’s Karl Kempf’s preferred term – demand supply networks) for IBM Microelectronics Division (MD). During this period, MD was a Fortune 100-size firm by itself. Fordyce was part of the teams that altered the landscape of best-practices – receiving three IBM Outstanding Technical Achievement Awards, AAAI Innovative Application Award, and INFORMS Edelman Finalist (twice) and Wagner (winner). He writes and often speaks about the “ongoing challenge,” both to practitioners and academics. In his free time, Dr. Fordyce enjoys writing programs in APL2 while running sprints.

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.

By |2020-11-23T19:58:42-05:00November 24th, 2020|COVID-19, Data Science, Machine Learning|0 Comments

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.

Demand Versus Predict Variability – Avoiding a Paint by Numbers Disaster

In this blog, we will focus on protecting your investment. The example involves demand variability versus prediction variability and its impact on inventory policy and operational efficiencies. It is loosely based on a real situation from the trenches.

Lessons for COVID-19 and Supply Chain Management – Six Months Later

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.

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