VLA Dynamic Scheduler Project Plan

Task pred slack earliest most likely latest expected beta
WEATHER:
identify current data locations 4-Apr 8-Apr 15-Apr 8-Apr-03 30.25
talk to NOAA meterologists 8-Apr 10-Apr 25-Apr 12-Apr-03 72.25
water vapour radiometer data 8-Apr 11-Apr 30-Apr 13-Apr-03 121.00
Weather Data from NOAA 11-Apr 14-Apr 30-Apr 16-Apr-03 90.25
interpret weather data 23-Apr-03 23-Apr 18-Apr 20-Apr 19-Apr-03 3.06
weather forecast into database 23-Apr-03 11-Apr 18-Apr 1-Jun 24-Apr-03 650.25
weather data from phase table 13-Apr-03 3 16-Apr-03 18-Apr 1-Jun 25-Apr-03 513.78
Evalauate Conditions 18-Apr 16-May 1-Jun 14-May-03 484.00
SCHEDULING:
identify Project List source 7-Apr 8-Apr 11-Apr 8-Apr-03 4.00
identify Project List format 7-Apr 8-Apr 11-Apr 8-Apr-03 4.00
determine required data model (tables) 7-Apr 18-Apr 1-Jun 23-Apr-03 756.25
determine required data formats 11-Apr 18-Apr 1-Jun 24-Apr-03 650.25
Project Prioritization heuristic -testing 24-Apr-03 14-Apr 24-Apr-03 1-Jun 28-Apr-03 576.00
Project Prioritization heuristic -final 28-Apr-03 1 29-Apr-03 9-May 1-Jun 11-May-03 259.57
GUI Development
initial GUI design 7-Apr 7-Apr 11-Apr 7-Apr-03 4.00
schedule display 24-Apr-03 18-Apr 25-Apr 9-May 26-Apr-03 110.25
weather display 25-Apr-03 18-Apr 25-Apr 30-May 29-Apr-03 441.00

How this Plan Was Created

This plan is an educated WAG based on PERT analysis; we assume a Gaussian distribution of possible times, and then fit this Gaussian to three parameters of (min, expected, max) with a bone-simple weighted average of (min+4*expected+max)/6.

This works surprisingly well.

See also PertEstimates


     April 2003             May 2003              June 2003      
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       1  2  3  4  5               1  2  3   1  2  3  4  5  6  7 
 6  7  8  9 10 11 12   4  5  6  7  8  9 10   8  9 10 11 12 13 14 
13 14 15 16 17 18 19  11 12 13 14 15 16 17  15 16 17 18 19 20 21 
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27 28 29 30           25 26 27 28 29 30 31  29 30