Firstly I'll lay out my data in its simplified form to demonstrate what I'm dealing with:
Stock Table:
Component
Quantity
Batch
Expiry Date
Brick
1500
B1
12/05/2023
Brick
1500
B2
30/05/2023
Brick
1500
B3
22/06/2023
Steel
2500
S1
12/05/2023
Steel
2500
S2
18/05/2023
Glass
15000
G1
29/09/2023
Glass
15000
G2
12/12/2023
Builds Table:
Build ID
Req Component
Req Quantity
Req Date
1
Steel
5000
01/01/2023
1
Brick
4000
02/01/2023
1
Glass
10000
03/01/2023
2
Steel
5000
15/01/2023
2
Brick
4000
16/01/2023
2
Glass
10000
17/01/2023
What you see above is a table of stuck and the batches of said stock and their respective quantities. The next table is a list of upcoming builds and their material requirement.
Based on what I'm trying to achieve I would expect to see the following as the output.
Build ID
Component
Req Quantity
Req Date
Assigned Batch
Rmn Qty(batch)
1
Steel
5000
01/01/2023
S1
2500
1
Steel
2500
01/01/2023
S2
0
1
Brick
4000
02/01/2023
B1
0
1
Brick
2500
02/01/2023
B2
0
1
Brick
1000
02/01/2023
B3
500
1
Glass
10000
03/01/2023
G1
5000
2
Steel
5000
15/01/2023
NO STOCK
2
Brick
4000
16/01/2023
B3
0
2
Brick
3500
16/01/2023
NO STOCK
2
Glass
10000
17/01/2023
G1
0
2
Glass
5000
17/01/2023
G2
10000
The stock is automatically assigned and distributed against the orders based on the required date and the expiry date - the rolling subtraction occurs that a batch may not be fully consumed on a given build and as such can be used again later.
If any more information is required please let me know.
Related
I'm looking to create a prior rolling 4 quarter Median. Some entries have less than 4 quarters, some have more. I want this by Employee. Needs to account for different tenure for different employees.
Result for 2021-1 should represent the prior 4 quarters median (and not account for current quarter).
I was able to figure out a rolling average with partitioning but not sure how to tackle a rolling median.
Thanks!
Employee ID
Quarter
Sales
EXPECTED RESULT
A
2020-1
1000
NULL
A
2020-2
2000
1000
A
2020-3
3000
1500
A
2020-4
4000
2000
A
2021-1
5000
2500
A
2021-2
4000
3500
B
2020-3
8000
NULL
B
2020-4
7000
8000
B
2021-1
6000
7500
B
2021-2
5000
7000
B
2021-3
1000
6500
C
2021-1
5000
NULL
C
2021-2
0
5000
C
2021-3
4000
2500
I have data like this in a sheet:
products obtained total
p1 1200 10000
p2 1000 20000
p3 200 30000
p1 1400 10000
p2 1200 20000
p3 600 30000
If I get the sum of products then p1 shows 2400 p2=2400 and p3=800
So I get 2400 top value against twp products ..
I want to get top values in textbox like this:
p1 (2400/10000) p2 (2400/20000)
How do I do this?
example for p1:
='p1 ('&sum({<products={'p1'}>} obtained)&'/'&only{<products={'p1'}>} total)&')'
might want to use avg instead of only if the total can change
I have a scenario as below
--source data
departuredttm flight_source flight_destination available_seats
13-07-2016 04:00:00 A B 200
13-07-2016 08:00:00 A B 320
13-07-2016 08:20:00 A B 20
I have a lookup table which tell how many total passengers are there for this source and destinatin whose flights are delayed and needs to adjusted in available seats in source data.lookup table is like this.
--lookup table for passenger_from_delayed_flights
flight_source flight_destination passengers
A B 500
now I have to adjust these 500 passengers in available seats as in source data
---output
DepartureDttm flight_source flight_destination AVAILABLE_SEATS PASSENGERS_TO_ADJUST PASSENGER_LEFT
13-07-2016 04:00:00 A B 200 500 300
13-07-2016 08:00:00 A B 320 300 20
13-07-2016 08:20:00 A B 20 20 0
initially passenger to adjust is 500 where we have 200 seats , next 320 seats are available and we have to adjust 300 (500-200) passengers.
Please help
Thanks
Your expected result is probably wrong, the 2nd flight already has enough seats, so PASSENGER_LEFT should be -20 (or 0).
This is a calculation based on a running total:
passengers - SUM(available_seats)
OVER (ORDER BY departuredttm
ROWS UNBOUNDED PRECEDING) AS PASSENGER_LEFT
available_seats + PASSENGER_LEFT AS PASSENGERS_TO_ADJUST
I am using proc optmodel to solve a problem in which several items must be priced the same within the same location (let's say they are different colors of same product and are not currently priced the same). I know that volume will increase/decrease depending on direction of price change, and I have some MIN/MAX constraints as well.
The problem I am running into is that the procedure is only reading one group of unique SKUs....I think because they repeat. How can I get the procedure to optimize all unique combinations of SKU/LOCATION? I tried just changing the item numbers, which of course works, but is not practical for my business solution. Thanks.
data input_data;
input SKU DESC $ LOCATION $ OLD_PRICE MIN MAX LIFT OLD_UNITS;
cards;
111 black NY 12.99 10 15 1.3 100
222 white NY 13.45 11 15 .9 150
333 red NY 13.29 13 15 1.6 200
111 black DC 11.75 10 14 1.2 300
222 white DC 11.75 10 14 1.5 100
333 red DC 11.99 10 14 1.7 140
111 black LA 14.21 12 17 2.0 600
222 white LA 14.79 14 17 1.5 500
333 red LA 15.99 13 17 .3 200
444 orange LA 14.11 12 17 .6 300
;
run;
proc optmodel;
set<num> SKU;
string LOCATION{SKU};
string DESC{SKU};
set LOCATIONS = setof{i in SKU} LOCATION[i];
set SKUperLOCATION{gi in LOCATIONS} = {i in SKU: LOCATION[i] = gi};
number OLD_PRICE{SKU};
number MIN{SKU};
number MAX{SKU};
var NEW_PRICE{gi in LOCATIONs} >= max{i in SKUperLOCATION[gi]} MIN[i] <= min{i in SKUperLOCATION[gi]} MAX[i];
impvar NEW_PRICEbySKU{i in SKU} = NEW_PRICE[LOCATION[i]];
number LIFT{SKU};
number OLD_UNITS{SKU};
read data input_data into
SKU=[SKU]
DESC
LOCATION
OLD_PRICE
MIN
MAX
LIFT
OLD_UNITS;
max sales=sum{gi in LOCATIONs}
sum{i in SKUperLOCATION[gi]}
(NEW_PRICE[gi])*(1-(NEW_PRICE[gi]-OLD_PRICE[i])*LIFT[i]/OLD_PRICE[i])*OLD_UNITS[i];
expand;
solve;
create data results_FAM_maxsales
from [SKU]={SKU}
DESC
LOCATION
OLD_PRICE
NEW_PRICE=NEW_PRICEbySKU
MIN
MAX
LIFT
OLD_UNITS;
print NEW_PRICE sales;
quit;
One way would be to set your unique key to be SKU & Location. I haven't used OPTMODEL in a while, but something like this should work.
set<num,str> SKU_Loc;
num old_price{SKU_Loc};
<code>
read data input_data into SKU_Loc = [SKU Location];
<code>
Then change the rest of the code to reference the unique combination of SKU & location.
I need a solution similar to this:
DAX running total (or count) across 2 groups
However slightly more complex.
I have the following:
(apologies for the layout - i can't post pictures)
Name Date Monthly Rev Total Rev Margin( % Rev)
Proj 1 1/08/2014 0 7000 15%
Proj 1 1/09/2014 1000 7000 15%
Proj 1 1/10/2014 1000 7000 15%
Proj 1 1/11/2014 1000 7000 15%
Proj 1 1/12/2014 0 7000 15%
Proj 1 1/01/2015 0 7000 15%
Proj 1 1/02/2015 2000 7000 15%
Proj 1 1/03/2015 2000 7000 15%
Proj 2 1/11/2014 0 16000 10%
Proj 2 1/12/2014 1500 16000 10%
Proj 2 2/12/2014 1500 16000 10%
Proj 2 3/12/2014 1500 16000 10%
Proj 2 4/12/2014 1500 16000 10%
Proj 2 5/12/2014 2000 16000 10%
Proj 2 6/12/2014 2000 16000 10%
Proj 2 7/12/2014 0 16000 10%
Proj 2 8/12/2014 2000 16000 10%
Proj 2 9/12/2014 2000 16000 10%
Proj 2 10/12/2014 2000 16000 10%
Monthly rev is the revenue received in a month, total is the total project value and margin is the percentage of revenue. The table is linked to a dates table by Date.
I need to show margin by date (there are other descriptive columns in the table for slicing) however the margin calc is not straightforward.
In an excel table it would look something like this:
Cumm simple margin | Completion| Cumm complex margin | Margin earnt
0 0% 0 0
150 20% 30 30
300 40% 120 90
450 60% 270 150
450 60% 270 0
450 60% 270 0
750 80% 600 330
1050 100% 1050 450
0 0% 0 0
150 11% 17 17
300 22% 67 50
450 33% 150 83
600 44% 267 117
800 56% 444 178
1000 67% 667 222
1000 67% 667 0
1200 78% 933 267
1400 89% 1244 311
1600 100% 1600 356
Where:
Simple margin is calculated on a cumulative basis as % of monthly Rev
Percentage complete of the project is calculated based on "active" months where revenue is earned
Cumulative simple margin is multiplied by the % complete
Actual margin earned in a particular month is the difference between two months.
Note that Monthly revenue is not necessarily continuous.
No idea how to recreate this in power pivot, any suggestions would be well received.
Cheers
Assuming
That your Project 2 data should run monthly from 1/11/2015 to 1/09/2015 (rather than individual December dates)
You have your data in a table called 'ProjectMargins'
Your DateDim table is called 'Reporting Dates'
Then these are the DAX Measures you need (although there may be simpler methods for achieving these results):
[MonthlyRev]:=SUM(ProjectMargins[Monthly Rev])
[ActiveMonth]:=CALCULATE(COUNTROWS('ProjectMargins'),FILTER('ProjectMargins',[MonthlyRev]>0))
[AllActiveMonths]:=CALCULATE([ActiveMonth],ALL('Reporting Dates'[Date]))
[Completion]:=DIVIDE(CALCULATE([ActiveMonth],FILTER(ALL('Reporting Dates'[Date]),'Reporting Dates'[Date] <= MAX(ProjectMargins[Date]))),[AllActiveMonths])
If you need to calculate TotalRev, from your Monthly Rev, Rather than it appearing in the original source table:
[TotalRev]:=IF(ISBLANK(MAX(ProjectMargins[Margin( % Rev)])),BLANK(),CALCULATE([MonthlyRev],ALL('Reporting Dates'[Date])))
[Rev%]:=MAX(ProjectMargins[Margin( % Rev)])
[Cumm Simple Margin]:=CALCULATE([MonthlyRev]*[Rev%],FILTER(ALL('Reporting Dates'[Date]),'Reporting Dates'[Date] <= MAX(ProjectMargins[Date])))
[Cumm Complex Margin]:=[Completion]*[Cumm Simple Margin]
[Previous Month Cumm Complex]:=CALCULATE([Cumm Complex Margin], DATEADD('Reporting Dates'[Date],-1,MONTH))
[Margin Earnt]:=IF([Cumm Complex Margin]>0,[Cumm Complex Margin]-[Previous Month Cumm Complex],BLANK())
NOTE: This assumes that the margin is never negative.
Ensure that the date field from the DateDim table is used in your pivot, not the date field from the Fact table.