Meaning
Statistical deviation in the timing of incoming work units or raw materials into a system. High arrival variance forces a facility to maintain excess capacity to prevent long waiting times. This metric evaluates the gap between the scheduled delivery and the actual physical receipt of items.
It stops applying once the material enters the first stage of active processing.
Supply Uncertainty
External factors frequently dictate the reliability of delivery windows for upstream components. A high degree of arrival variance indicates that a supplier cannot maintain a stable flow, which creates waves of idle time followed by sudden congestion. Workforce planning becomes difficult when the input stream is unpredictable.
Schedule Deviation
Operational audits measure the difference between the planned arrival and the timestamp of the actual unloading event. When arrival variance rises, the production schedule loses its predictive value. Buffers must grow to compensate for these gaps.
This growth consumes warehouse space and increases capital costs.
System Impact
Randomness in the input stream degrades the overall efficiency of the downstream line. If arrival variance is called early during a pilot phase, the resulting equipment configuration might be undersized for real world volatility. Demonstrating a stable rate requires a controlled input that the pilot environment often lacks.
Equipment that performs well under a steady load might fail when the input arrivals fluctuate. Reliability in the supply chain remains the primary counter to this phenomenon.