Case Study|Industrial Manufacturing

A packaging manufacturer turned opinion and tribal knowledge into measurable standards and real-time visibility, lifting units per labor hour 27% and locking in more than $1 million in annualized savings.

Packaging Manufacturer
Results at a Glance
$1M+
Annualized Savings
27%
Units Per Labor Hour
18%
Direct Labor Cost Reduction
Executive Brief

Years of acquisitions and product expansion had fragmented this packaging manufacturer into disconnected production nodes running a 12,000-plus SKU mix on opinion and tribal knowledge, with a Management Operating System that barely existed and no credible production standard. Over a focused 28-week engagement, POWERS ran a two-pronged transformation: operational stabilization to steady execution on the floor, and a visibility overhaul anchored by a Digital Production System that centralized operational data in real time. Credible standards, short-interval follow-up, structured Sunday night startups, and KPI dashboards replaced reactive management. The result was more than $1 million in annualized savings, a 27% gain in units per labor hour in the core production area, and an 18% reduction in direct labor costs, with quality, changeover, and setup gains alongside.

Equipment Reliability · Frontline Leadership · MOS
The Situation

Decades of experience on the floor, but no shared yardstick: a multi-area operation grown by acquisition and run on opinion, not measurable standards.

This long-established packaging manufacturer had grown through years of acquisitions and product expansion, and that growth left its mark. The operation had fragmented into disconnected production nodes, each carrying inconsistent standards and little shared visibility, while the product mix swelled past 12,000 SKUs across multiple production areas. The result was a highly variable production environment that no one could see clearly from end to end.

Beneath the complexity was a deeper structural problem. Leadership ran in reactive mode, leaning on opinion and tribal knowledge rather than measurable standards, despite a workforce with decades of tenure. The Management Operating System barely existed, the production standard had no credibility, machine startups went largely unmanaged, staffing drifted away from real demand, and reporting was fragmented enough that the underlying data could not be trusted.

Experienced people were doing their best inside a system that gave them no reliable feedback. What leadership needed was not a one-time fix but a durable operating system: credible standards, clear ownership, and real-time visibility that could hold across every production area rather than depend on who happened to be on shift.

The Diagnosis

Six structural gaps producing the same outcome from six directions.

A Management Operating System in name only

Only 6% of traditional MOS elements were effectively present and just 1% consistently used, so the routines meant to drive daily performance could not actually run.

Captains supervising in name, not in practice

Captains spent only 6% of their time on active supervisory behaviors, leaving the floor without the frontline leadership presence that holds standards in place.

A production standard with no credibility

A generic 500 pieces per hour was applied across every product despite wide variation, so the standard no one believed could not anchor performance or expose loss.

Machine uptime left to chance

Persistent uptime problems went unaddressed and Sunday night startups were largely unmanaged, surrendering hours of available capacity before the week even began.

Staffing disconnected from demand

Labor was set without a reliable link to actual production demand, driving cost in slow periods and strain in busy ones.

Reporting too fragmented to trust

Fragmented reporting and unreliable production data left limited visibility into true performance across the facility, so decisions rested on guesswork rather than fact.

What POWERS Did

Replaced opinion and tribal knowledge with credible standards and real-time visibility.

POWERS ran the engagement on two fronts at once: operational stabilization to steady how work got done, and a visibility transformation to make performance impossible to ignore. On the stabilization side, leadership was aligned around measurable goals and a common operating rhythm, roles and responsibilities were clarified, and systematic short-interval follow-up routines were installed for Leads and Captains so issues surfaced and closed quickly rather than festering.

In parallel, the team attacked the sources of lost time and lost visibility. Structured Sunday night startup plans replaced unmanaged starts, structured downtime tracking exposed where hours were leaking, and KPI dashboards plus standardized communication routines gave every level a consistent view of the day. A Digital Production System centralized operational data with real-time, standardized visibility, individual performance indicators tied accountability to specific production roles, and leadership development workshops built the capability to sustain the new rhythm.

Together these moves turned a reactive, opinion-driven operation into one run on credible standards and shared facts. As staffing aligned to real demand, execution steadied across the floor, and credible standards met real-time visibility, the gains compounded into more than $1 million in annualized savings.

The Full Result

Six measurable gains, all earned by trading opinion for standards and visibility, not new capital.

$1M+
Annualized Savings

More than $1 million in annualized savings as opinion-and-tribal-knowledge management gave way to measurable standards and real-time visibility.

27%
Units Per Labor Hour

Units per labor hour rose 27% in the core production area once credible standards, short-interval follow-up, and DPS visibility replaced the generic rate.

18%
Direct Labor Cost Reduction

Direct labor costs fell 18% as staffing aligned to real demand and execution steadied across the floor.

30%
Quality NCMR Reduction

Non-conforming material reports fell 30% as standards, ownership, and follow-up tightened quality at the source.

11%
Changeover Time Reduction

Production line changeover time dropped 11% as structured startup plans and downtime tracking exposed and removed lost time.

22%
Machine Setup Reduction

Machine setups fell 22% as scheduling and standards reduced unnecessary changes in a 12,000-SKU environment.

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