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FACILITY MANAGEMENT
Insights and Cleaning Productivity Benchmarks
Recommendations: Category Segment/Sub-category % of Sites Below JLL/
Industry Baseline
1) Labour Distribution: A By Site Size Very Large Sites (> 400K sqft) 31%
significant 82% of sites
distribute cleaning labour with Large Sites (200K–400K sqft) 43%
a day-to-night ratio equal to or Medium Sites (50K–200K 51%
higher than 2:1. sqft)
2) Day Cleaning vs. Night Overall (across All Sites (Very Large, Large, 49%
Medium)
sizes)
Cleaning: A notable
finding is that 39% of sites By Occupancy Large Sites 31%
demonstrate higher efficiency Medium Sites 31%
by implementing a “daytime By Industry Segment Technology 38%
maintain + clean” model Financial Institutions 83%
compared to the traditional Manufacturing 40%
“night clean” model. Energy / Chemicals 100%
3) Supervision’s Role: Contrary Professional Services 23%
to common assumptions,
the study found no direct Telecom 14%
correlation between higher
supervision levels and increased
productivity. savings commitments are also for strategic decision-making in
4) Wage Impact: While increased pushing accounts to deliver facility management, highlighting
wages have proven effective in higher productivity through areas for improvement and provide
retaining staff, they have not rationalization measures. a clear roadmap for achieving
directly boosted productivity or 6) Occupancy vs. Productivity: operational excellence.
reduced absenteeism. Data trend analysis indicates By leveraging these insights,
5) Efficiency Opportunities: that productivity generally organisations can make informed
The Financial segment and decreases as occupancy decisions about their FM strategies,
certain Technology clients leading to significant cost
present scope for efficiency increases and vice versa. savings and enhanced workplace
improvements. Contract The findings offer a valuable tool experiences for their employees.
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