Demand Management Eliminating Excel in Purchasing Manufacturing Metrics 
Supply Chain Shaman
MARCH 21, 2024
During the 1980s, I was on a management team for a large manufacturer. The Company was attempting to gain economies of scale by grouping manufacturing technologies within a common infrastructure to reap the benefits of a co-generation facility, a centralized warehouse, and a talented administrative team. Lack of aligned metrics.
Supply Chain Shaman
MARCH 8, 2016
As an analyst in the supply chain market for 15 years, I have written many articles on best-of-breed technology companies purchased by a larger company. The Terra Technology investment is one of what we believe will be a series of purchases to build inter-enterprise cloud-based software platforms to redefine supply chain planning.
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Logistics Viewpoints
MARCH 27, 2023
Demand forecasting is the process of making future estimations of how much of a given product will sell by location and time period. Organizations then convert those demand forecasts to the associated quantities of raw materials to purchase, goods to be manufactured, or finished products to ship.
Supply Chain Shaman
MARCH 9, 2020
As I shopped at Best Buy for office supplies, I struggled to not think about the massive disruption of electronics supply chain. I find three: organizational design, executive understanding of supply chain, and the lack of a clear definition of an optimization function for supply chain excellence. Clarity of Supply Chain Excellence.
Supply Chain View from the Field
APRIL 1, 2015
Many people are talking about Key Performance Indicators, Metrics, Analytics, and other indicators of performance. The importance of selecting the right metrics or “measures” as I prefer to call them, is critical as we all know that metrics drive behaviors. Step 2 – Develop Metrics and Data Sources.
Supply Chain Shaman
OCTOBER 8, 2017
” At the other end of the continuum is the argument that “ Forecast error is the most important metric to improve.” I do believe in demand planning, but most companies overstate forecast improvements. At that time, the demand processes were largely regional. Like a car, demand engines needs continual tuning.
Supply Chain Shaman
AUGUST 26, 2015
While traditional forecasting approaches use statistics to model history assuming that historic shipments and order patterns represent future market patterns, in the times of market volatility, especially for manufacturers two-five levels back in the supply chain, traditionally forecasting is not adequate.
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