{"id":45262,"date":"2012-11-07T17:41:00","date_gmt":"2012-11-07T17:41:00","guid":{"rendered":"http:\/\/sticky-highjinx.flywheelsites.com\/?p=45262"},"modified":"2025-03-04T03:02:19","modified_gmt":"2025-03-04T08:02:19","slug":"statistical-process-control-of-inventory-accuracy","status":"publish","type":"post","link":"https:\/\/envistacorp.techyscouts.dev\/en-au\/2012\/11\/07\/statistical-process-control-of-inventory-accuracy\/","title":{"rendered":"Statistical Process Control of Inventory Accuracy"},"content":{"rendered":"Reading Time: <\/span> 3<\/span> minutes<\/span><\/span>\n

Learn how to leverage process mapping and Pareto analysis for inventory optimization<\/h2>\n\n\n\n

Well, OK, maybe not rigorous Upper Control Limits and Lower Control Limits statistically defined for the process of maintaining Inventory Accuracy. Interesting thought though, right? At what incidence of fully accurate counts would you want to alert that something is out of control (!)? A hundred in a row, and we start to get suspicious? Ten?<\/p>\n\n\n\n

But, hopefully, you get the point. It’s not about finding inventory counts in error and fixing them. It’s about characterizing the processes that lead to inventory being accurate or inaccurate. And then improving those processes for greater accuracy.<\/p>\n\n\n\n

Remember that what we are seeking is repeatable and consistent high quality transaction execution \u0096 exactly the goal of all quality improvement techniques.<\/p>\n\n\n\n

Cross-Functional Process Improvement<\/h2>\n\n\n\n

All the techniques we’ve learned for process and quality improvement can come into play:<\/p>\n\n\n\n

Recognize that inventory accuracy is not solely in the domain of Warehouse Management<\/a>. Like most significant opportunity, it’s going to take multi-function teamwork to effectively address. For example:<\/p>\n\n\n\n