Case Study · Absenteeism

Paper Converting Plant Solved Absenteeism Without Adding Relief Crews

A paper converting plant was preparing to add relief crew headcount to deal with absenteeism. The diagnostic showed the absenteeism pattern was a coverage-model problem, not a headcount problem — and the redesign closed the gap without adding bodies.

Pulp & Paper · Converting
AbsenteeismMay 20266 min read
Industry
Pulp & Paper — Converting
Operation Size
~260 Production Workers
Problem Category
Absenteeism & Coverage
Headline Outcome
Absenteeism Cut Without Relief Crew Addition

Executive Summary

A paper converting plant running four lines on a four-crew, 12-hour rotation had seen absenteeism climb from a 4.8% historical baseline to roughly 9.1% over an 18-month period. The operations leadership had drafted a proposal to add a 14-person relief crew at a projected annual cost of approximately $1.1M. The diagnostic identified the absenteeism pattern as schedule-driven, not headcount-driven — specific schedule events were producing predictable absence clusters that no relief crew would address. The redesign rebuilt the rotation mechanics around the absence drivers and closed the gap inside the existing crew structure. Absenteeism returned to baseline within nine months, no relief crew was added, and the $1.1M annual cost was avoided.

The Situation

Client Context

A paper converting plant producing finished paper and packaging products on four converting lines, running continuously on a four-crew, 12-hour rotation pattern with rotating weekends. Approximately 260 production workers across the four crews. Unionized workforce under a long-standing contract that established the 12-hour shift envelope but did not specify the rotation pattern in detail — meaning the rotation mechanics were inside the operational lever the plant could pull, while the shift length itself was contractually fixed.

The Presenting Problem

Over an 18-month window, absenteeism had climbed from a historical baseline of around 4.8% to a recent run rate of 9.1%. The operations team had compiled a written proposal to add a 14-person relief crew that would cover absence gaps and reduce the overtime burden on the existing four crews. The proposal was scheduled for review by site leadership, and the labor budget for the upcoming year had been preliminarily adjusted to accommodate the new headcount.

Why It Mattered

The $1.1M annual cost of the relief crew was a material increase in fixed labor cost, and once added it would be functionally permanent — relief crew headcount, once approved, is rarely reduced even after absenteeism trends improve. The plant’s leadership was open to the proposal but wanted certainty that the addition would actually address the absenteeism trend, rather than simply mask the symptoms while leaving the underlying drivers in place. The diagnostic question was whether the absenteeism pattern itself contained enough information to identify the actual drivers before a headcount commitment was made.

Our Approach: The Four-Phase Methodology

Phase 1 · Business Assessment

What We Examined

We pulled the absenteeism records for the prior 24 months and mapped every absence event with full granularity. Day of the week. Position in the rotation cycle. Shift (day, evening, night). Crew. Whether the absence followed a weekend the worker had lost, preceded a weekend the worker had lost, fell in the first or last day of a block, or landed in some other position. We also examined whether absences clustered by tenure, by line assignment, or by position within a line. The goal was not a summary statistic — the goal was to see whether the pattern had structure.

What We Found

The pattern had structure, and the structure pointed directly at three specific schedule features. First, roughly 38% of all absences fell on the first day of a 5-day or 6-day block, which the existing rotation produced periodically. Second, an additional 22% of absences fell on the day immediately preceding a weekend the worker would lose to the rotation — in other words, workers were calling in to recover before being required to work a weekend they had not seen in their position in the cycle. Third, the rotation pattern positioned weekends unpredictably across the 4-week cycle, which the workforce assessment later confirmed was a frequent source of complaint. Together, these three patterns accounted for over two-thirds of the absences. None of them would be addressed by adding relief crew headcount — the absences would still occur, the gaps would still need filling, and the underlying schedule drivers would persist.

Adding relief crew to address schedule-driven absenteeism is paying twice for the same problem — once for the labor that calls out, and once for the labor that fills in. Reading the absence pattern correctly usually identifies a redesign opportunity that costs less and addresses more.

— Dan Capshaw, Senior Partner, Shiftwork Solutions LLC

Phase 2 · Workforce Assessment

We surveyed the production workforce on schedule experience, recovery, and what features of the existing rotation they would change if given the opportunity. The responses aligned closely with the business assessment findings. Workers consistently identified the 5-day and 6-day blocks as the hardest part of the rotation, with the first day of those blocks experienced as particularly difficult. The unpredictable weekend distribution drew strong negative feedback, with workers asking whether the rotation could be redrawn to make weekend assignments knowable a month or more in advance. We also asked about preference for the rotation pattern itself — specifically whether the workforce would prefer a more compressed block length even if it shifted some weekend coverage assignments. The preference for shorter blocks was strong and consistent.

Phase 3 · Solution Design

The redesigned rotation kept the four-crew, 12-hour shift structure but changed the cycle mechanics. Maximum block length moved from 6 days to 4 days, eliminating the long-block first-day cluster that the absenteeism data had identified. Weekend distribution was rebuilt to fall in predictable positions across the cycle, giving workers a known weekend schedule that they could plan recovery and family commitments around. The forward-rotation direction was preserved from the existing pattern. Minimum turnaround between blocks was set at 48 hours, which the existing rotation had not consistently provided. No headcount changes were made — the redesign worked entirely within the existing four-crew structure.

Phase 4 · Implementation Preparation and Rollout

The implementation manual addressed the operational mechanics, the union coordination required by the change in rotation pattern, and the post-implementation monitoring plan. Because the absenteeism pattern was the core diagnostic finding, the monitoring plan included weekly absenteeism reviews for the first six months of the new schedule to confirm the pattern was responding to the redesign. If the pattern had not improved within three months, the relief crew proposal was kept on the table as a contingency — but the contingency was structured to be used only if the diagnostic prediction failed to materialize. Rollout took eight weeks from manual approval to full operation on the new rotation.

Outcomes

Measured against the client’s stated objective:

MetricBeforeAfter (12 months post)
Absenteeism rate~9.1%~5.0%
First-day-of-long-block absences~38% of totalN/A (long blocks eliminated)
Maximum block length6 days4 days
Weekend predictabilityUnpredictableFixed across cycle
Relief crew addedProposed: 14 people0 (proposal withdrawn)
Annual cost of avoided relief crew~$1.1M projected$0 (plan avoided)

Qualitative Outcomes

Overtime hours dropped substantially in the first six months as the absence-related overtime that had accumulated on the prior pattern subsided. Voluntary turnover, which had been climbing alongside the absenteeism trend, returned to historical baseline within the first year. The union leadership endorsed the redesign at the next contract review and the new rotation pattern was incorporated into the agreement. Plant supervisors reported reduced friction around the rotation — the predictable weekend distribution removed an ongoing source of complaint that had been consuming a meaningful share of supervisor time.

The Design Principle: Absenteeism is information. The pattern of when people call out usually identifies the schedule features that are driving the calls. Adding relief crew headcount addresses the symptom — the gap created by absences — without addressing the cause. Reading the pattern first, then redesigning around what it reveals, frequently produces durable improvement at a fraction of the cost.

Key Insights

The pattern in this engagement repeats across paper and packaging, food and beverage, distribution, and other operations where 12-hour shift patterns have been in place long enough that the original rotation rationale has been forgotten. When absenteeism climbs, the operational instinct reaches for the most visible lever: add headcount, add relief crew, add coverage capacity. That lever works to fill the gap when the gap appears, but it does not stop the gap from appearing in the first place. And the cost compounds — permanent relief crew headcount funds the gap-filling indefinitely, while the underlying drivers continue to produce gaps.

A second pattern: the absenteeism data itself almost always contains the diagnostic. The structure of the pattern — which days, which positions in the cycle, which schedule events — is the signal. Treating absenteeism as a summary number, rather than as a structured pattern, hides the diagnostic that would otherwise be visible. The summary view says "absenteeism is up 4 points." The structured view says "absenteeism is concentrated on long-block first days and pre-lost-weekend days." The first view leads to relief crew headcount. The second view leads to rotation redesign.

Is Your Operation Facing the Same Question?

If your team is looking at climbing absenteeism and considering a relief crew addition, the most useful first step is the structured view of the absence pattern itself — with enough granularity to see what the structure is. That analysis usually changes the conversation, and often changes the answer.

Shiftwork Solutions LLC has guided hundreds of engagements across paper and packaging, food and beverage, distribution, and other 24/7 industrial operations over more than three decades. Visit shift-work.com to start a conversation.

Frequently Asked Questions

Adding relief crew headcount is the most direct lever leadership has to address coverage gaps — it produces predictable additional capacity that can be deployed against absences. The trade-off is that it adds permanent labor cost to address a problem whose root cause may not be a coverage shortage. When the absenteeism is being driven by something the schedule itself is doing, adding relief crew covers the symptom but leaves the cause in place.
It means looking at absences with enough granularity to see what they’re telling you. Which days of the week, which shifts, which crews, which positions, which times of year. Whether absences cluster around specific schedule events — the start of long blocks, the end of long blocks, the day after a difficult rotation transition, or the day before a weekend the worker has lost. Each cluster type points at a different cause, and the cause determines the right response.
Several recur across industries: long consecutive blocks without consecutive days off, rotation patterns that put weekends in unpredictable positions, short turnarounds between blocks, mandatory weekend coverage that workers have no path out of, and shift assignments that cluster the least-popular slots on the same workers repeatedly. Each of these can drive absence behavior — and each can be addressed through schedule design rather than relief crew headcount.
The pattern is the tell. Schedule-driven absenteeism clusters around specific schedule events — same day of the week, same position in the rotation, same shift. Culture-driven absenteeism is more diffuse, distributed across days and crews. Operations often have both contributors operating at the same time, and the diagnostic separates them so each can be addressed through the right mechanism — rotation redesign for schedule-driven, leadership and policy work for culture-driven.
From engagement start to full operation on the new coverage model, typical timelines run eight to ten weeks. The shorter timeline reflects that no contract reopener or headcount change is involved — the redesign works inside the existing crew structure and the existing labor agreement. Workforce engagement around the new pattern is the critical path, particularly when the redesign changes weekend distribution or rotation mechanics.
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