Arkieva Supply Chain Link Blog.
Creating the link between better supply chain planning and decisions.
RECENT POSTS
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.
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.
Invest in Supply Chain Management Technology: Efficiency Assessment
When and how to invest in supply chain management technology is a critical question for all firms that is not a one-time question, but ongoing...
Invest in Supply Chain Management Technology: Survival and Ability to Respond to Emerging Challenges
When and how to invest in supply chain management technology is a critical question for all firms that is not a one-time question but ongoing. This blog will observe the real business value is “survival and responsiveness” and elaborate on the challenges with this evaluation.
Can You Make the Case For Supply Chain Technology Investment?
The right technology can provide a solution to maintaining optimal supply chain planning, but how can you justify the investment?
Machine Learning and Data Science Tools of the Trade: First-Order Difference
There are a number of data analysis “tools of the trade” that have proven effective in exploring data to get it to tell a story. One such method is the first-order difference (FOD). The purpose of this blog is to provide an overview of FOD with respect to profiling demand history.
Top 5 Signs You Have Outgrown Your Planning System
Industry analysts, big-time consultants, and your peers are all talking about technology, digital transformation, and the future of the supply chain. It can seem like a lot of noise given the day-to-day pressure you feel while working to ensure that inventory is on hand and positioned where it is supposed to be. With all you have on your plate, are you aware of the signs that it is time for a change?
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