Formulae Aggregate Planning



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Formula Sheet
Z transformation formula:
Z = T’ – T
(cp2)
Where:
T’ = the desired completion time
T = sum of te for critical path activities (i.e. te on the critical path)
cp2 = sum of variances for critical path activities and (cp2) is the square root
Cost and Schedule Variances

The known cumulative planned cost of work performed, the budgeted cost of work performed – BCWP.
The known cumulative actual cost of work performed, the actual cost of work performed – ACWP.
The total planned cost of the scheduled activities, the budgeted cost of work scheduled – BCWS
The schedule variance, SV, (in cost terms): SV = BCWP – BCWS
The cost variance, CV: CV = BCWP – ACWP
Schedule Performance index (SPI) = BCWP/BCWS
Cost Performance index (CPI) = BCWP/ACWP
Estimated Time to Completion = T + (D-TxSPI)/SPI
Estimated Cost to Completion = ACWP + (C – BCWP)/CPI
Capacity
Design Capacity: The capacity of a process as it is designed to operate is called its design capacity. It is the theoretical maximum capacity of an operation.
Effective capacity = Design capacity - Planned downtime
Achieved capacity = Effective capacity - Avoidable downtime
Total Downtime (Lost Time) = Planned downtime + Avoidable downtime
Achieved capacity = Design Capacity - Total Downtime
Achieved capacity = Design capacity - (Planned downtime + Avoidable downtime)
Machine utilisation = Achieved capacity
Design capacity
Efficiency = Achieved capacity
Effective capacity

Safety Capacity
Average Safety Capacity (%) = 100% - Average Resource Utilisation (%)
Capacity Calculations with Set-up Time
Capacity required (Ci) = Setup Time (Si) + [processing time (Pi) x order size (Qi)]
Where:
Ci = capacity requirements in units of time for work order i.
Si = setup or change over time for work order i as a fixed amount that does not vary with volume.
Pi = processing time for each unit of work order i (e.g. hours per part, minutes per transaction, and so on).
Qi = size of order i in numbers of units.
Total capacity required = ∑Ci = ∑[Si + (Pi x Qi)]

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