I am working with a dataset in KNIME that includes delivery notes (DNs), GCAS, and quantities to top up. Multiple DNs use the same pool of gcas and I need the output of which DN will have what gcas and how much is the top up QTY. After the QTY is used, then we need to remove the gcas for top up for the next DN#.
Below is the sample data, appreciate on how to approach this problems:
Delivery | Weight top up | volume top up | GCAS | Qty | KGS/CS | DM3/CS | Total Weight Top up | Total Volume Top up |
---|---|---|---|---|---|---|---|---|
1111111112 | 499.108 | 1103.874 | A | 40 | 17.566 | 31.2 | 702.64 | 1,248.00 |
1111111112 | 499.108 | 1103.874 | b | 48 | 5.385 | 15.8 | 258.48 | 758.40 |
1111111112 | 499.108 | 1103.874 | c | 60 | 15.047 | 33.9 | 902.82 | 2,034.00 |
1111111112 | 499.108 | 1103.874 | d | 96 | 5.917 | 17.5 | 568.032 | 1,680.00 |
1111111112 | 499.108 | 1103.874 | e | 48 | 6.746 | 16.9 | 323.808 | 811.20 |
1111111112 | 499.108 | 1103.874 | f | 80 | 17.302 | 31.2 | 1384.16 | 2,496.00 |
1111111112 | 499.108 | 1103.874 | g | 54 | 12.622 | 38.9 | 681.588 | 2,100.60 |
1111111112 | 499.108 | 1103.874 | h | 32 | 14.707 | 50 | 470.624 | 1,600.00 |
1111111113 | 5.004 | 4072.726 | A | 40 | 17.566 | 31.2 | 702.64 | 1,248.00 |
1111111113 | 5.004 | 4072.726 | b | 48 | 5.385 | 15.8 | 258.48 | 758.40 |
1111111113 | 5.004 | 4072.726 | c | 60 | 15.047 | 33.9 | 902.82 | 2,034.00 |
1111111113 | 5.004 | 4072.726 | d | 96 | 5.917 | 17.5 | 568.032 | 1,680.00 |
1111111113 | 5.004 | 4072.726 | e | 48 | 6.746 | 16.9 | 323.808 | 811.20 |
1111111113 | 5.004 | 4072.726 | f | 80 | 17.302 | 31.2 | 1384.16 | 2,496.00 |
1111111113 | 5.004 | 4072.726 | g | 54 | 12.622 | 38.9 | 681.588 | 2,100.60 |
1111111113 | 5.004 | 4072.726 | h | 32 | 14.707 | 50 | 470.624 | 1,600.00 |
1111111114 | 1305.813 | 1190.875 | A | 40 | 17.566 | 31.2 | 702.64 | 1,248.00 |
1111111114 | 1305.813 | 1190.875 | b | 48 | 5.385 | 15.8 | 258.48 | 758.40 |
1111111114 | 1305.813 | 1190.875 | c | 60 | 15.047 | 33.9 | 902.82 | 2,034.00 |
1111111114 | 1305.813 | 1190.875 | d | 96 | 5.917 | 17.5 | 568.032 | 1,680.00 |
1111111114 | 1305.813 | 1190.875 | e | 48 | 6.746 | 16.9 | 323.808 | 811.20 |