Emilie

Hi, I have a production line with 2 sources. The arrival of entity A in source 1 triggers an arrival of entity B in source 2. Entity A and entity B then enter their respective servers for a processing time. Entity A is processed at table_openings between 10 and 15 minutes with probabilities whereas Entity B is processed at table_MF for 10 minutes. The process type is task sequence. Both Entity join at a combiner. Entity A is the parent and Entity B is the member. Afterwards, the combined entity continue along the production line. I have expected processing times for each task at each server. Before starting a task, a process starts where a state statistic registers the state processing time of the entity. I also put list state to verify the schedule utilization. I have verified visually and the state value for processing time is correct for every station while the simulation is running. What I have observed is that the state statistic average processing time for the servers before the combiner is the expected value, however, all the other stations are 10 minutes off. The simio output has the right processing times for all the stations after the combiner but not for the two stations before the combiner. Moreover, the list state average time busy value are ok for all the stations after the combiner but again the station before the combiner, it gives the total number of minutes it was busy. Also, if i do the average of the state log observation for each station in excel afterwards, I get all the correct processing times. I am guessing it has something to do with the combiner, but I am lost. How can the processing time for table_MF be 10,48 when the processing time is a fixed 10 minutes in the facility window? Why is the list State MF and OP different from all the other list states? Thank you for your help!

Hi, I have a bottleneck at the end of my assembly line. I cannot dupplicate that station as my total number of workers is already high. Before hiring, I would like to try and reallocate and have satellite employees. I want to allocate my workers to that station when the input buffer has exceeded one entity. Every worker has to finish the entity they are presently working on at the other stations and the first workers that are done need to go the bottleneck station. The rest of the time, the workers can be allocated based on the smallest distance to the work stations. The bottleneck station usually requests 4 workers. That information is already set up in a table. When there is two entities in queue in that buffer, I want workers to be able to go finish the work and hence increase the processing time by X. I have tried a lot of different things, and all my data is stored in relational tables. Thanks!

Yes it helps, Thanks!

Hi, I want to generate one type of product with one interarrival time. I have one source and one model entity. However, this entity can have different lengths following probabilities. Depending on these properties, the processing times at the servers will be shorter or longer. I tried to assign a state to the entity before this entity exits the source so ModelEntity.Length becomes DataLength.prob.randomrow. where DataLength is a table with the different lengths and the probabilities associated with those Lengths. The only thing is that it is a property and not a state, but I do not know how to do it in another way. Afterwards, I have different processing times at the servers depending on the different characteristics of my entity. For example, server1 will have different processing times depending on the length. How can I reference to the good processing time say I have added a column to the table DataLength with the associated processingtimes according to the lengths? Finally, I would also like keep track of those different lengths generated and see what the model produced in the end. Thank you for your help, Emilie