Problem:
- Hiring, training, and maintaining skilled labor forces in a multi-shift
environment is expensive
- Multiple factors, including resource shortages
and rising wages, have increased costs in healthcare, government, aviation,
and security where workforces must be local (cannot be offshored)
- Sub-optimal
scheduling solutions have exacerbated challenges and resource crises,
adversely impacted morale, and reduced productivity and profitability
Solution:
- Multi-shift staff scheduling is difficult because it must simultaneously
account for:
- Multiple competing objectives
- Many conflicting
requirements
- In some cases, resource shortages
- Mathematical optimization was invented to find solutions for these complex
problems
- Up until recently, use of mathematical
optimization was prohibitively expensive and time consuming
- FriarTuck’s
recent breakthroughs have enabled the company to bring the power of optimized
scheduling to commercially viable products for the first time
Differentiation and Benefits:
- Most industries rely on manual and/or rules-based scheduling
- Neither
of these approaches can deal with the millions of combinations of factors
necessary to find ‘best’ or optimal solutions
- FriarTuck’s
intelligent system enables enterprises to enjoy:
- A 75 % reduction in staff time allocated for scheduling
- A
95% reduction in ‘time to solution’ providing nearly ‘real-time’,
optimized schedules
- A payback period of 1 year or less
Validation:
- FriarTuck is the leading provider of optimized workforce management (OWM)
for the enterprise
- Top customers include:
- National University Hospital (900+ beds, 1400 staff, 50 departments),
- Changi
General Hospital (800+ beds, 1200 staff, 37 departments),
- Singapore
Airlines, and
- American Space Agency, NASA.
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