Supply Chain Planning Blog2026-03-18T11:35:14-04:00

Arkieva Supply Chain Link Blog.

Creating the link between better supply chain planning and decisions.

RECENT POSTS

Key Guiding Principles for Getting a Better Handle on Implementing Artificial Intelligence (AI) in Supply Chain Management

The role of Artificial Intelligence (AI) in business activities has again emerged as a hot topic for 2017 and 2018. In fact, Gartner predicts by 2021, 40% of new enterprise applications will include Artificial Intelligence Technologies, where AI and Machine Learning promise to solve a plethora of problems faced by enterprises today, from better decision making to increased efficiencies and cost savings.

By |December 1st, 2017|News and Trends, Supply Chain, Supply Chain Strategy|

Back to the Basics: What’s the Core Purpose of Supply Chain Management?

As supply chain professionals and SCM technology enthusiasts, our conversations and discussions are often forward-looking. Sometimes, it’s essential to focus on the here and now, before looking ahead. In this post, we’ll cover some of the basics of what supply chain management entails, and why it’s a critical component in fueling supply chain innovations.

By |November 14th, 2017|Supply Planning|

Who Should Take Ownership of Finished Product Inventory Management?

I mean who suffers directly when finished product inventory runs amuck by level, mix, or availability? Well, we all do, don’t we? After all, if we made it and can’t sell it, what have we done? Or, what if we promised it to customers but haven’t made it? Until we give finished goods velocity, no profits roll into the business meaning, no revenue (assuming when it sells, it gains velocity). Just think of the other side of the coin when it goes to the scrap heap for a write off (terminal velocity).

By |November 9th, 2017|Inventory Management, Memoirs of a Black Belt|

How to Determine the Best-Fit Plan with Supply Chain Optimization

The use of optimization in supply chain management is widespread, just not in supply planning.  Regular use of optimization occurs in inventory management and demand forecasting. “Best-fit straight line” is one of the most common uses of optimization. With this method, you enter or pull into Excel (or your favorite statistics software) a set of “x values” (the independent value e.g. the number of cars in a train) and a set of “y values” (dependent value e.g. the fuel cost for each train), click a few buttons and you get a “best-fit” straight line – a slope (b1), a y-intercept (b0), a measure of goodness, and a straight line drawn through your scatter plot.

By |November 7th, 2017|Supply Chain Optimization|
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