While working with various optimization models, I often encountered situations where the supply chain optimization model would make decisions to produce items even when there was no demand. This blog discusses different scenarios that led to the optimization models producing and storing excess inventory.
The adoption of machine learning and artificial intelligence is on the rise, but not at the pace of other transformations. Here are a few reasons why.
Whether you are a manufacturer, retailer or distributor, inventory is likely one of your largest assets – after cash of course. Managing this asset takes a cross-functional team, all (hopefully) moving in the same direction. Weak management of the inventory process results in a porous supply chain.
Successful management of inventory is a hot topic in supply chain management. While it's easy to measure, the cause may be complicated to uncover.
In today’s highly globalized economy, no country can remain isolated or insulated from the outside world. The world is so interconnected that one hiccup can cause a myriad of issues downstream.
When engaging in capacity planning, it is important to consider the product mix and seasonality of your business to ensure an effective and accurate outcome.
Arkieva prides itself on providing some of the best in supply chain thought leadership. Over 300,000 individuals read our blog articles in 2021. The volatile nature of the supply chain today drove our readers to educate themselves on practical actions they can take to remain competitive.
We are excited to announce that we are rebranding Arkieva to fuel growth, strengthen our position in the market, and continue to be a recognized leader in the supply chain industry. Over the past few years, we have been relentlessly focused on solving the most complex planning challenges through simple, intuitive, end-to-end solutions leveraging our best-in-class data scientists, software developers, and supply chain optimization consultants.
In this blog, we point the reader to a recent article “Humachine”, which identifies the general challenge of implementing decision technology to improve SCM decision making resulting in improved organizational performance and the importance of experience in the trenches.
An earlier Sudoku blog recognizing Puzzle Day, provided an overview of solving Sudoku using MILP optimization and mentions these methods are helpful to find solutions in supply or central planning. This blog elaborates on “binary variables” which is the connecting technology between Sudoku and Supply Chain Management (SCM).