Blog
Insights on production scheduling, lean manufacturing, and manufacturing software from 35+ years of industry experience.
How the platform actually works: scheduling, optimization, the shop floor and ERP data.
Reading the Optimizer Move List
The optimizer move list shows one row per changed operation, with old and new start, the shift in hours, and a reason chip. Here is how to read every column and act on it.
Setting the Optimizer Time Budget
The optimizer runs on a time budget of 10, 30, or 60 seconds. Here is how the budget shapes the search, what an interrupt returns, and how to pick the right one for the run.
Staleness Protection in the Optimizer
If the schedule changes while an optimizer proposal is open, Accept refuses to overwrite it. Here is how the snapshot stamp catches drift and protects your data from a stale apply.
The On-Time Job Count Metric in Optimization
On-time job count is the plainest optimizer measure: how many jobs land by their due date. Here is how EDGEBIC computes it, how it breaks ties, and why it complements weighted tardiness.
The Optimizer Explain Dialog and Audit Trail
The Explain dialog tells the plain-language story of an optimization, and Accept saves that exact story to the audit log. Here is what each records and why they match.
Determinism and Reproducibility in Schedule Optimization
The EDGEBIC optimizer is deterministic: the same inputs and the same seed produce the identical plan every time. Here is why that matters for trust, audits, and support cases.
How a Proven Optimality Gap Builds Trust in a Schedule
A proven optimality gap tells you how close a production schedule sits to the mathematical best. Here is how EDGEBIC computes it and why it ends the 'could we do better' debate.
How the EDGEBIC Optimizer Cuts Total Setup Time
The EDGEBIC optimizer can sequence jobs to slash changeover hours the base scheduler never sees, modeling sequence-dependent setup as a solvable circuit. Here is the mechanism.
How a Warm Start Makes Schedule Optimization Fast
The EDGEBIC optimizer warm-starts from the base scheduler's plan, using it as both a head start and the never-worse floor. Here is why that makes optimization fast and safe.
Is AI Production Scheduling Real? An Honest Look
The EDGEBIC optimizer is math and search, not AI magic. Here is an honest account of what it actually does, why 'never worse' and 'proven optimal' beat vague AI claims.
The Fastest-Overall-Finish Optimizer Preset Explained
The MinMakespan optimizer goal in EDGEBIC compresses a plan end to end to free capacity soonest. Here is how it ranks a schedule and when to choose it over due dates.
The Least-Setup-Time Optimizer Preset Explained
The MinSetup optimizer goal in EDGEBIC groups compatible jobs to cut changeover hours. It needs a setup matrix to appear. Here is how it ranks a schedule and when to use it.