Arkieva Supply Chain Link Blog.
Creating the link between better supply chain planning and decisions.
RECENT POSTS
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.
Machine Learning: Optimization and Community Intelligence – A Wiser Forecasting
Learn the importance of advanced optimization for statistics (AOS) even for simple methods such as exponential smoothing and the importance of community intelligence.
Machine Learning and AI: Profiling Demand History – A Wiser Forecasting
In the simple version of supply chain management (SCM) the goal for demand forecasting in the tactical decision tier is prediction accuracy. In the wiser version, the purpose is expanded to include an understanding of your demand (demand profiling)...
Relationship Between MAD and Standard Deviation for a Normally Distributed Random Variable
A colleague and I were talking recently, and the conversation turned to what is the relationship between Mean Absolute Deviation (MAD) and the Standard Deviation (STDEV). In this post, I will explain to you the math behind that approximation, which by the way, only applies to normal distributions.
Inventory Management – Navigating the Trenches Without Losing Sight of the Big Picture
Inventory comes in many forms and flavors; it is the critical element of supply chains that enable a firm to respond quickly and take advantage of scale. However, managing inventory is one of the most...
Inventory Management: Avoiding Data Driven Disasters – Targets and Monitoring
Inventory management (IM) is a critical component of any successful organization where the mechanics of measuring and monitoring inventory involve KPIs, dashboards, and data science...
The Dual Reality of Inventory Management (IM): Stand Alone and Central Planning – Avoiding Data Driven Disasters
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.
Executive Perceptions of Machine Learning and Data Anomalies
The chatter about Artificial Intelligence’s (AI) and its recent companion, machine learning (ML) is ever-present. In a wide range of economic activities, AI/ML methods are now standard practice...
Supply Chain Management – Autonomous is Far Away and Resiliency is Needed Now
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...
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