Supply Chain - Arkieva - Page 18

Category: Supply Chain

Top 5 Lessons Learned After a Year in Supply Chain Planning

A little over a year ago, I ventured into the unchartered territory of supply chain planning. It was an exciting challenge. I had experience as a marketer in the Business Intelligence (BI) and Enterprise Resource Planning (ERP) space. And because ERP solutions often have some supply chain planning functionalities, I thought I could easily apply my knowledge from the ERP space to supply chain planning.

Only the Shadow Knows – Identifying the Unobvious with Supply Chain Modeling

While reading a wonderful article titled “Linear Thinking in a Non-Linear World – the obvious choice is often wrong” in the May-June 2017 issue of Harvard Business Review, I was immediately transferred back to the early 1980’s and theme of the IBM Advanced Industrial Engineering department – “only the model knows.”

How Does a Demand Forecast of Zero Impact Your Forecast Accuracy?

For most businesses that rely on demand forecasts for supply and capacity planning, improving demand forecast accuracy is critical. There are many methods to measure forecast bias and the accuracy of supply chain forecasts including using statistical methods like the Mean Absolute Percent Error or MAPE that we’ve discussed in our previous blogs.

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