In the problem of scheduling, balancing workload expectations with business constraints is a challenge. Experts are highly flexible professionals who expect not only a high hourly rate, but also a satisfactory number of hours worked per billing period. This is where Yumbo, an advanced scheduling tool, plays a critical role.
One of Yumbo's key features is PBSUM constraints, which act as input parameters to ensure workload consistency across billing periods.
PBSUM constraints define the lower and upper limits for an expert's total working hours within a billing period - typically 20 business days. These constraints allow for:
- Ensuring minimum workload – By setting a lower limit, experts are guaranteed a satisfactory number of working hours.
- Managing work-life balance – The upper limit helps control workload distribution, especially for part-time or restricted schedules.
- Flexible work arrangements – While full-time experts may not need an upper limit (typically 160 hours per period based on 8-hour days), PBSUM constraints enable configurations that allow for longer days or reduced schedules.
💡 By incorporating PBSUM constraints, Yumbo ensures that schedules are optimized for both business efficiency and expert satisfaction. If no feasible schedule meets these constraints, Yumbo flags it as infeasible and prompts adjustments.
🔗 For those seeking smarter scheduling solutions, Yumbo is available both as an open-source tool on GitHub and as a SaaS solution via Streamlit Comunity Cloud .
#OperationsResearch
#IntegerProgramming
#Scheduling
#Planning
#MathematicalModeling
#AMPL
Image created by ChatGPT.