On Monday at 8:07 a.m., the war room smelled like dry-erase and coffee. Ravi, the supply planner, clicked his laptop shut with a little flourish. “Good news,” he said. “I bumped the plan eight percent. Bit of a stretch, but it’ll light a fire.”

Maria, who ran the bottleneck filler line, raised an eyebrow. “We have one filler,” she said. “It runs at one filler speed.”

“Totally,” Ravi said. “But if we aim higher, we’ll get more. People step up.”

By noon the “stretch” had turned into schedule musical chairs. To hit Ravi’s number, the plan jammed in two extra changeovers. The crew hustled, then waited on a component that was “due yesterday” (the ERP still swore it was arriving “any minute”). Customer Service, reading fantasy ATP, promised Thursday. Operations promised to “try.” Procurement promised to “push the supplier.” Everyone promised, and the filler kept doing filler math.

Wednesday, the floor looked busy in the way a train station looks busy when all the trains are late. Overtime kicked in. Maintenance bumped a preventive job because “we need the hours.” Logistics booked premium freight “just this once, again.” A quality hold popped on the SKU they’d hot-swapped into the schedule to chase the target. Rework piled up next to backorders. The easy B-items multiplied like rabbits; the A-item the big customer actually wanted was still short because the real constraint hadn’t moved an inch.

By Friday, plan adherence was a rumor. The operators were fried, a near miss went on the safety board, and Maria sent two folks home early before fatigue made a bigger headline. Customer Service spent the afternoon phoning apologies. The finance analyst, Hank, started a “variance safari” to find where the money went. He found it, mostly under premium freight, scrap, and absorption gymnastics that looked clever until month-end.

At the Monday retro, the dashboards did not blink. Plan Adherence: 63%. Schedule Stability: four reschedules per order. OTIF: 91% on A-customers (down from 97). Expedite spend: “why is this number bold and red?” Hank asked. Ravi shrugged. “We were close! The team just didn’t push enough.”

Maria tapped the capacity chart. “The line ran at 96% of proven rate,” she said. “Which is heroic considering we added changeovers and skipped a PM.” She flipped to a photo of the filler. “This doesn’t go faster because you type a larger number.”

Silence. Then the VP of Ops sighed. “No more pep-talk plans,” she said. “We’re done lying to ourselves.”

They made three changes that afternoon:

  1. Feasible plan, or it doesn’t publish. Demand stayed unconstrained; supply got constrained to physics. Any past-due order was snapped to today, re-dated, or canceled. The frozen window became sacred. “If it’s not in ERP, it’s not the plan” went up on the wall.

  2. Explicit levers with price tags. A two-week co-man trigger at +$0.14/unit. Time-boxed overtime with a cap. A pre-agreed allocation rule for A-customers if the bottleneck slipped. Playbooks with owners replaced pep talks with choices.

  3. Truthful promises. ATP/CTP updated after the weekly S&OE. Customer Service called three key accounts: “Here’s the real date and what we’re doing about it.” Nobody loved it, but nobody escalated, either.

The next week looked boring in the best way. The plan called for 96; the line ran 97—because the schedule stopped thrashing and maintenance did the PM. One co-man lot landed exactly when planned. Logistics shipped standard mode. The easy B-items stayed in their lane. By Friday, Plan Adherence read 94%, Schedule Stability calmed to minor nudges, OTIF on A-customers clicked back to 97, and expedite spend was down 38%. Hank’s variance bridge took five minutes instead of a flashlight and a prayer.

Ravi wandered to the filler at shift change. “So…no more ‘opportunistic uplift’?” he asked, sheepish.

Maria smiled. “You want more output? Fund SMED, fix downtime, qualify the alternate part, and use the co-man when the math says so. Pressure makes diamonds; padded plans make scrap.”

Ravi nodded. The next S&OE, he brought Base/Up/Down scenarios with costs and service impacts. The team chose the upside for four weeks with co-man and capped OT, throttled a couple of B-items, and told Sales the truth before the customers had to guess.

Funny thing: when they stopped pretending, performance went up. The filler didn’t get faster—but the business did.

Debbie Evans

Debbie Evans

Implementing IBP in an organization is a challenging experience that can be both organizationally challenging and rewarding. Those that are on this journey, I hope my experiences will make your path easier. Check back frequently for more information or contact me directly if you have specific questions. Thanks for reading.

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