Polyhedrika

  Value streams require real time data collection in order to control them. This is often done automatically by the equipment itself but in some occasions it must be done manually.  In spite of the high-tech of our shop floors you can still see pencil and paper data collection being used. https://youtu.be/C7chwW_cXbc Unfortunately, detecting aspect defects is often difficult to automate even with AOI (Automatic Optical Inspection). When an operator is required to inspect we need a method to enter the results into the system. Line incidents, change of critical process parameters, etc. also need to be reported the moment they take place. Pencil & Paper Reporting The method still widely used in this 21st century is: The operator hand writes the defect data on a form Forms are collected at the end of the shift A clerk types the forms contents into the system at a later stage The engineer analyses the results and takes corrective actions well after the data was entered. This reporti

  The COVID pandemia we have suffered worldwide has changed many ways of doing things both at work and in the home. A common practice of sharing reporting terminals in the manufacturing lines has become an unacceptable risk. One alternative to solve this problem is to bring  your own device (BYOD) to do the reporting. BYOD is making significant inroads in the business world, with about 75% of employees in high-growth markets such as Brazil and Russia and 44% in developed markets already using their own technology at work. One major advantage of using your own phone is that the skill is already there: a new IT device would require training.   Some Possible Business Uses for an Employee's Own Smartphone Workplace data collection in real time Incident reporting anywhere any time Repair action reporting from anywhere when it is complete Value Stream Map building and validation in Gemba (where the action is) Real-time Statistical Process Control Real time project or manufacturing sta

     Statistical Process Control is used to detect when a significant change has taken place in a process.  We want to detect this change as soon as possible. What is real-time will depend on the process.  All processes have variation as observed in any of their metrics but not all variation is significant from the statistical point of view.  Random Variation Vs Trends: Statistical Process Control When we want to control a process by adjusting some process parameter we can make two mistakes: Over-react by adjusting when we shouldn't Under-react by failing to adjust when we should Control over-reaction A case of over-reaction is illustrated by the following example: Someone is shooting at a target and, based on the deviation of the impacts, he adjusts the gun site after each shot. The end result will be an increase of the dispersion of the impacts, therefore the adjustments will make the process worse. The correct way is, of course, to fire 5 or 6 shots without adjustments and then