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Data and the Scheduling Machine – Why Bad data leads to poor decision making

Updated: Oct 3, 2019

By: - Ian Shirley


Data - The DNA of good decision making

Decision making on the back of poor data is a recipe for disaster – For example, how many times have you seen poor schedule information being passed throughout the supply chain leading to confusion, over-production, high supply chain volatility and frequent changes, all leading to a lack of trust over the information that is available?

This schedule volatility often causes the wider supply chain to go into “Start-Stop” mode – a bit like when a car brakes suddenly on a busy motorway, resulting is a significant tail back (for no apparent reason) further down the motorway – I think that we have all been there! The academics call this the “Forrester” or “Bull Whip” effect and is often caused by a lack of control and integrity within the customer’s Scheduling Machine – A term we will come on to later