Kian & Curt
Curt
Kian, I've been reviewing our production schedule and noticed some inefficiencies that could be eliminated with a new scheduling algorithm. Could we discuss a possible implementation?
Kian
Sure, let’s look at the current data flow. We can apply a critical path method to identify the longest dependency chain and then use a heuristic like the shortest remaining processing time to reorder the parallel tasks. That should cut idle time by about 15-20 %. I’ll draft a quick simulation script for the new schedule and we can run a few scenarios.
Curt
Sounds good. Make sure the simulation captures all resource constraints and that we can compare key metrics—total cycle time, throughput, and utilization—against the baseline. Let me know once the script is ready.
Kian
Got it. I’ll add all resource constraints to the model and log total cycle time, throughput, and utilization for each run. I’ll have the script ready for review by end of day. Let me know if you need any specific parameters adjusted.
Curt
Great. Once you have the script, just run a baseline scenario first so we have a reference point. Then compare the new schedule against it using the metrics you mentioned. Keep the logs clear and structured—no extraneous data. I'll review the results and we can decide on the next steps.