Create a free Manufacturing.net account to continue

ScheduleSoft Adds Fractional Demands To Software

The Fractional Demands function makes it possible for organizations like manufacturers to quickly and accurately adjust labor schedules to match changing production schedules.

MADISON, WI -- ScheduleSoft today announced the addition of Fractional Demands to their workforce scheduling software. The new Fractional Demands function makes it possible for organizations like manufacturers, who face fluctuations in demand, to quickly and accurately adjust labor schedules to match changing production schedules. This new functionality puts ScheduleSoft at the top of the list for any organization having complex scheduling needs and variability in the supply chain.

“We developed Fractional Demands for the particular needs of customers who select ScheduleSoft because of our unique ability to match production operations with fluctuating customer demand by optimizing the workforce,” said Gregory Flessas, ScheduleSoft CEO. “With Fractional Demands, ScheduleSoft customers can now accurately and more profitably adjust labor to match operational requirements as they change. The ability to do this easily and quickly is a huge competitive advantage for ScheduleSoft customers.”

“Many of our customers are companies where even small variations in performance can have a dramatic impact on profitability,” continued Flessas. “ScheduleSoft Fractional Demands allows these organizations to tightly integrate their planning and execution to leverage their workforce and create product at the lowest possible cost.”

ScheduleSoft is the leading provider of optimized workforce scheduling for the manufacturing industry and is known for providing an optimized, flexible schedule that responds to changes in production demand. Now with the unprecedented capabilities of Fractional Demands, manufacturers can more closely match labor schedules to the complexities and realities of the dynamic shop floor.

For more information, visit www.schedulesoft.com.