This fertilizer facility had operated successfully for decades, but for each of the last three spring seasons it walked into its peak already losing ground. Poor production throughput and unreliable equipment left it unable to keep pace with seasonal customer demand or hold its on-time delivery commitments when volume mattered most.

The dysfunction compounded itself. Seasonal peaks triggered cascading, last-minute production and scheduling decisions, with frequent abrupt schedule changes because customer orders awaiting pickup had simply not been produced yet. Emergency schedule breaks became routine, with trucks sometimes left waiting at the dock. Each change rippled through the floor as employee and supervisory confusion, inefficient short production runs, and added downtime from multiple changeovers per shift, so the reaction to falling behind made the plant fall further behind.

Underneath the scramble sat a quieter problem: nobody could see what was actually happening. Management had no visibility into departmental performance, good or bad, and the absence of accurate reporting made the challenges difficult even to quantify. Employees, supervisors, and managers had grown desensitized to underperformance, with no sense of urgency when a line went down. What leadership needed was not a one-time push but a system, one that made performance visible every hour, tied scheduling to what maintenance could actually deliver, and rebuilt the accountability to run to capacity season after season.

POWERS started by making performance visible at the moment it mattered. Production supervisors completed Startup Scorecards daily on the floor across the entire first hour of every run, and a dedicated maintenance mechanic was assigned to the line for the first two scheduled hours each day, so the shift’s most fragile window was watched and supported rather than left to chance. Around those daily routines POWERS installed a full visibility stack: the Startup Scorecard, Daily Schedule Control tracking hourly production against plan with documented downtime minutes and causes, Downtime Pareto charts ranking losses by cause and occurrence, and a Daily Weekly Operating Report that pulled it all together.

In parallel, POWERS built the alignment and accountability the plant had lacked. A Startup Review Meeting, a Daily Review Meeting, a Weekly Review Meeting where the Plant Manager and Department Managers reviewed the prior week and assigned action items, and a Maintenance Coordination Meeting created a layered cadence that turned the new data into decisions and follow-through. The next week’s schedule was completed by close of business Wednesday, aligned to maintenance line availability and built from historical performance for full production shifts rather than generic daily targets, so scheduling reflected what the plant could actually run instead of what it hoped to.

POWERS also closed the specific gaps the diagnosis exposed. Scrap and rework, previously normalized and unmeasured, began to be measured daily. The Gal-Xe line received a real schedule, with projected batch durations by SKU and per-shift batch expectations for the employees running it. Together these changes replaced last-minute reaction with planned execution, and the cumulative effect showed up across throughput, uptime, startups, schedule attainment, and overtime alike.