Circularity, in the form of re-use, is not really new as a business model.  Look at Goodwill, Habitat For Humanity’s Re-Store, and countless local consignment and thrift stores. eBay, Etsy, and Facebook Marketplace provide an online forum to convert one person’s trash to someone else’s treasure. A quick trip to the post office and the deal is sealed. Waste averted.

If one is going to forecast demand into the future, it would make sense to get as true a picture as possible. For that, starting with historical demand would be the obvious choice. Choosing this data as the basis for forecasting would ensure the best possible projection out in the future.

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.

These “key tools” balance a need for simple with a need to handle the complexity of SCM – following the IBM adage – complexity exists whether you ignore it or not, best not to ignore it.

A reoccurring challenge in comparing and combining diverse time series in demand forecasting is the “scale” – as it is in combining metrics. Rescaling is a powerful but simple method to help with this issue enabling demand planners to focus on similarities of shape. This blog provides an example of one method called normalization.

The right technology can provide a solution to maintaining optimal supply chain planning, but how can you justify the investment? 

Make your obsolete inventory more visible with these simple phase-in phase-out planning techniques.

Artificial Intelligence (AI) has been making its rounds in world news for the last few years. With considerable advancements in...

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Supply Chain Planning deals with the future and therefore uncertainty with economy. As a result, the planners sometimes have to question other people’s assumptions. Whether for this or some other reason, they do not get credit that is due to them for the great job they do. Eric Wilson from Tempur Sealy gives them the due credit and then some and calls them the super heroes of business. We agree!

Arkieva’s Dr. Ken Fordyce recently participated in the Dagstuhl Seminar, "Modeling and Analysis of Semiconductor Supply Chains" in Wardern Germany. While attending he was able to participate in great discussions about “end to end” planning – aka master scheduling, and has written about his observations in regards to Advanced Planning and Schedule (APS), supply planning, and Central Planning Engine (CPE).