Case Study|Food & Beverage

A category-leading baked goods producer banked $3.4 million in annualized OEE savings, beating its own $2.7 million target, by lifting Power Hour startups 50% and overall schedule attainment 73% once reliability finally came under daily leadership instead of run-to-failure firefighting.

Consumer Baked Goods Producer
Results at a Glance
$3.4M
OEE Savings
50%
Power Hour Increase
73%
Schedule Attainment Increase
Executive Brief

Bakery production lines were failing often enough that equipment uptime sat at 69%, OEE at 63.5%, and the daily plant startup routine known as Power Hour at just 50%, with schedule attainment no better. Startups leaned on the tribal knowledge of a few technicians, pre-flight forms were outdated or missing on some lines, supervisor performance went unmeasured, and maintenance stayed reactive. POWERS installed weekly planning and scheduling meetings, shifted frontline leaders from reactive to proactive management, defined roles across leadership tiers, ran a mechanic skills baseline assessment, standardized leader work with structured 1:1s, refined PM frequencies through continuous feedback, and integrated the Fiix CMMS alongside Tableau and Redzone for data-driven decisions. Power Hour startups increased 50% (to a best week of 75% from a 50% baseline), overall schedule attainment rose 73%, overall OEE improved 14% off its 63.5% baseline, and plant-weighted OEE savings reached $3,371,796 annualized, beating the engagement's roughly $2.7 million target.

Equipment Reliability · Frontline Leadership · MOS
The Situation

The lines knew how to run. They just did not start the same way twice, and the equipment failed often enough to drag uptime and OEE well below where the plant needed them.

For a category-leading consumer baked goods producer, the production lines were the business, and they were not holding. Equipment failed consistently enough that uptime stalled at 69% and overall equipment effectiveness sat at 63.5%, while the daily startup routine the plant called Power Hour got the lines running cleanly only half the time. Schedule attainment was no stronger at 50%. None of these were one-bad-day numbers; they were the steady state, and they capped what the plant could ship.

Underneath the metrics was a system that depended on the right people being in the right place. Startup support was inconsistent and leaned on tribal knowledge held by a limited set of technicians, and pre-flight forms were outdated or simply absent on some lines, so each shift improvised its way to running. Roles and responsibilities were ambiguous and leaders drifted from best practices. There were no consistent metrics for measuring supervisor success, supervisors were often not on the shop floor, and leadership follow-up was inconsistent, which left no reliable way to see a problem or own it.

Maintenance compounded the drag. Technician evaluations were outdated and infrequent, leaving critical skills gaps, and preventative-maintenance tasks were published with little follow-up or accountability, so the plant stayed in a reactive, run-to-failure posture. Daily touchpoints were scarce, departments worked in silos, and modern tools like Tableau went underused. Leadership did not need a one-time fix to any single line; it needed a system that made reliable startups, proactive maintenance, and supervisor accountability the way the plant ran every day.

The Diagnosis

Six structural gaps producing the same outcome from six directions.

Startups built on tribal knowledge

Startup support was inconsistent and leaned on the know-how of a few technicians, while pre-flight forms were outdated or missing on some lines, so the daily Power Hour depended on who happened to be working.

Ambiguous roles, drifting practices

Roles and responsibilities were unclear and leaders deviated from best practices, leaving no settled definition of who owned what when a line went down.

Supervisors unmeasured and off the floor

There were no consistent metrics for supervisor success and supervisors were often not present on the shop floor, so performance went unseen and uncoached.

Follow-up that did not close the loop

Leadership follow-up was inconsistent, so issues raised in one shift rarely carried through to resolution in the next.

Stale technician evaluations and skills gaps

Technician evaluations were outdated and infrequent, leaving critical skills gaps that left the lines exposed when equipment failed.

Reactive PM and siloed tools

PM tasks were published with little follow-up or accountability, daily touchpoints were scarce, departments stayed siloed, and tools like Tableau went underused, keeping maintenance in a run-to-failure mode.

What POWERS Did

Put bakery-line reliability and daily startups under proactive, data-driven leadership.

POWERS treated the engagement as a leadership and reliability problem, not a single-line repair. Weekly planning and scheduling meetings were established so resources were allocated deliberately rather than scrambled for, and frontline leaders were shifted from reactive firefighting to proactive management. Roles and responsibilities were defined clearly across leadership tiers so ownership was no longer ambiguous, and a comprehensive mechanic skills baseline assessment exposed where the critical gaps actually were.

In parallel, the operating discipline was rebuilt around routines that ran the same way every day. Standardized leader work and structured 1:1 meetings gave supervisors a consistent cadence and made their performance visible, while unplanned work was recorded and PM frequencies were refined through continuous feedback loops, moving maintenance from run-to-failure toward genuinely preventative. Tableau and Redzone were put to work for data-driven decisions, and the Fiix CMMS system was fully integrated so maintenance planning, execution, and accountability lived in one place.

Together these changes pulled reliability under daily management. Startups became repeatable instead of improvised, supervisors were on the floor and accountable to clear metrics, and maintenance shifted from reacting to failures toward preventing them, which is what let the plant convert its low baselines into sustained, measurable gains and savings that ran past the engagement’s own target.

The Full Result

Four measurable gains that turned reliable startups and proactive maintenance into hard savings.

$3.4M
OEE Savings

Plant-weighted OEE savings reached $3,371,796 annualized, beating the engagement's own roughly $2.7 million target as reliability came under daily management.

50%
Power Hour Increase

The daily plant startup routine, Power Hour, increased 50%, climbing from a 50% baseline to a best week of 75% as pre-flight discipline and standardized leader work took hold.

73%
Schedule Attainment Increase

Overall schedule attainment increased 73% from its 50% baseline as reliable startups and proactive maintenance let the plant hold to plan instead of chasing it.

14%
Overall OEE Improvement

Overall equipment effectiveness improved 14% from its 63.5% baseline as startups steadied and maintenance shifted from run-to-failure toward preventative.

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