Central Limit Theorem -- Dickeson

Suppose we wish to optimize workflow—throughput. For the least 15 years we've known that the key to increased profitability is the speed rate of workflow. The theories of supply-chain integration require valid prediction. It's the speed of materials from receipt at our dock to delivery to our customer that determines our success. How can we make decisions for buffering workflow between processes without statistical support? How do we keep delivery date promises? (Right now we "pull" jobs off equipment to make scheduled deliveries and suffer additional makereadies, don't we?) How do we follow Deming and Walter Shewhart and continuously improve our printed product? We must manage variance.