I have a scenario which needs triggering a maintenance notification automatically. I have 3 measuring points for a equipment. I take measurement readings for these 3 measuring points using 3 measurement docs( say the measurement readings be x, y and z).I need to trigger a notification when (x+y-z)/z >2%. This is very much similar to condition based maintenance where maint. notifications are triggered when the upper or lower limits of the measuring point are reached . But here the problem is
I have 3 measuring points for the equipment and one by one I am creating the measurement docs for the measuring point. The system should calculate using the formula as soon as the last measurement doc is saved and based on the value. ie if >2% trigger a maintenance notification .(The challenge is 3 measurement docs are involved and how to link these 3 measurement docs and calculate value using the above formula).
The client will be taking readings every day twice for the 3 measuring points based on which he will decide if the machine needs to be recalibrated. Hope the scenario is clear.
Thnaks and best regds
Can you share more details.What are these measurement points & their Units.
Based on your inputs it seems you are trying to link all the measurement points with some formulas which is not an out of the box functionality of standard SAP , the solution could be to develop a customized program
You might have to store all the readings with ref to technical object in a customized table & write the relevant formula in the program.
Talk to your ABAPER for this
The 2 measuring points are actually weighing machines for conveyor belt type loading . The third measuring point is called draft reading. The three measurement readings actually are used for comparing the weights of material loaded in a ship. So using the above formula they decide if the weighing machine needs to be recalibrated or not. Now I need to link the three measurement docs to calculate the formula. Also system should identify the 3 measurement docs created at any given time.