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Sequencing Metal Stamping Around Die Changeovers
Metal stamping scheduling software that stores one flat setup time per job hides the biggest lever a stamping planner has, because the real cost of a die changeover depends on whether the next job shares the die or needs a full swap. EDGEBIC by User Solutions prices every changeover from a per-press lookup keyed by the pair of jobs, so grouping parts that share a die pays off and the plan shows the true cost of every swap. For a press shop losing hours to a die-change order nobody controls, this is the configuration change that pays back fastest.
The Flat Setup Number Hides the Lever
Two stamping jobs that run on the same die need no changeover between them. The die is already in the press. Two jobs on different dies, especially a swap from a small progressive die to a large transfer die, can cost hours of teardown, setup, and try-out. A single setup value in the routing charges the same for both, so it makes a same-die run and a full die swap look identical, and the planner loses the one lever that matters most.
Consider a press running three jobs today, sequenced by due date, each carrying a flat 60-minute setup.
| Job | Die | Run hours | Setup claimed |
|---|---|---|---|
| First | Die A | 2.0 h | 1.0 h |
| Second | Die B | 1.5 h | 1.0 h |
| Third | Die A again | 1.0 h | 1.0 h |
The plan charges three hours of setup and looks routine. But the first-to-second job is a real die swap, the second-to-third job is another swap back to Die A, and the two same-die opportunities were thrown away by running Die B in the middle. The flat number could not see that, so it never prompted anyone to group the Die A jobs.
Pricing the Changeover by the Pair
Configure the press with die families and a family-to-family matrix. This is the sequence-dependent setup mechanism, and the families are ordinary setup families grouped by die size and press class.
| From die | To die | Setup minutes |
|---|---|---|
| Die A | Die A | 0 |
| Die A | Die B | 60 |
| Die B | Die A | 60 |
| Die B | Die B | 0 |
Now the scheduler charges zero when a job stays on the same die and the real swap cost when it changes. Run the same due-date order and the plan shows two 60-minute swaps. Reorder to run both Die A jobs first, then Die B, and the second Die A job costs zero because nothing is swapped.
| Position | Die | Transition | Setup minutes |
|---|---|---|---|
| 1 | Die A | Cold start | 60 |
| 2 | Die A again | Same die | 0 |
| 3 | Die B | Die A to Die B | 60 |
Total setup falls from 180 minutes to 120, and the saving grows fast with more same-die jobs in the run. Group five jobs on one die and four changeovers become none.
Grouping Shared Dies Is the Whole Game
The payoff scales with how many jobs share a die. Take eight jobs where five share Die A and three share Die B, sequenced by due date so they interleave. Interleaving can force up to seven die swaps, seven hours at an hour each. Group the five Die A jobs, then the three Die B jobs, and you pay one swap between the groups. That is six hours of press time recovered from sequencing alone, without changing a machine or a die. A scheduler that prices changeovers by the pair is what makes that grouping visible and worthwhile, and it is the practical form of changeover time reduction.
Families Keep the Matrix Small
You do not price every die pair. Dies are grouped into families by size and press class, and the matrix is built family to family, so a handful of families covering many dies collapses into a small grid a planner fills in an afternoon from real recorded setups. A same-die run returns zero automatically without a cell, and product-level cells stay available for the specific pair that breaks its family rule, always winning over the family value.
Because the matrix is per press, each press carries its own grid. A die swap that is quick on a large press with a die cart can be slow on an older press without one, and the two grids capture that independently, so a job is priced correctly on whichever press it lands on.
Reading What the Scheduler Did
Every scheduled operation records where its setup came from: a short source code and a plain-sentence reason. The Job View shows matrix-priced values at full brightness and fallback values muted, so a glance down the column tells you how much of your plan is genuinely priced and how much still runs on the flat default. On a reschedule, the previous-die anchor comes from what actually ran on the press per the recorded actuals, so the next job's changeover is priced against the real die last in the press. Those actuals arrive from a shop-floor kiosk, described in shop-floor actuals tracking, and a captured setup is exactly the number you load back into the matrix.
You can also test a proposed run order without committing anything through a quote simulation, which uses the same lookup as a live plan.
The scheduling discipline behind this comes from a long lineage of finite-capacity work in metals and heavy industry. The User Solutions and RMDB heritage includes a GE railcar operation that moved from roughly 30 percent to 90 percent on-time delivery, the kind of result that follows when the plan finally reflects real setup cost. For a related sheet-metal application, see sheet metal nesting and scheduling, and for another setup-driven sector, print shop setup matrix. Stampers holding a fixed release window for an assembly plant should also read splitting high-volume jobs across parallel automotive lines. The industry fit guide maps the rest, and EDGEBIC is the product hub.
Ready to price your die changes? Contact US for a demo and bring last month's setup records for one press.
Because a changeover cost depends on the pair. Running two jobs that share the same die back to back costs nothing, while swapping from a small progressive die to a large transfer die can cost hours of setup and try-out. A flat setup value in the routing charges the same for both, so it hides the expensive swaps. Pricing the changeover by what the press ran last and runs next lets the plan show the real cost and lets grouping shared dies pay off.
When jobs that use the same die run consecutively, the changeover between them is zero because nothing is swapped, so the press keeps running instead of tearing down and setting up. A scheduler that prices changeovers by the pair makes that grouping worthwhile by charging zero for same-die transitions and the real cost for a genuine die swap. Grouping five jobs on one die into one block turns four changeovers into none, and the recovered hours are pure capacity.
No. Dies are grouped into setup families by size and press class, and the matrix is built family to family, so a handful of families covering many dies collapses into a small grid. A same-die run returns zero automatically without a cell, and product-level cells stay available for the specific pair that breaks its family rule. You fill a small family grid from real recorded setups rather than trying to price thousands of individual die pairs.
Expert Q&A: Deep Dive
Q: We run several presses of different tonnage. Can each press have its own changeover matrix?
A: Yes, the matrix is per work center, so each press carries its own die-to-die grid. A die swap that is quick on a large press with a die cart can be slow on an older press without one, and the two grids capture that independently. A job routed across presses is priced correctly on each, so the plan reflects the real setup cost on whichever press the work lands on rather than sharing one wrong number across all of them.
Q: How much press time does grouping shared dies actually recover in a shift?
A: Take eight jobs where five share die A and three share die B, sequenced by due date so they interleave. Interleaving can force up to seven die swaps, and at an hour each that is seven hours of setup inside a shift. Group the five die-A jobs, then the three die-B jobs, and you pay one swap between the groups, one hour. That is six hours of press time recovered from sequencing alone, without changing a single machine or die.
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User Solutions has been developing production planning and scheduling software for manufacturers since 1991. Our team combines 35+ years of manufacturing software expertise with deep industry knowledge to help factories optimize their operations.
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