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fzn4hs's avatar
fzn4hs
Frequent Visitor
4 years ago

Number of Rows based on multiple columns values

Hi

Im relatively new in PowerBi and Im looking for some advice on how to solve a problem with my data

I have a table where represent the cycle time to each machine. I need to know the machine who has the highest cycle for a specific product so I can show only this value as my constrain in the process flow

My table is like this

 

Product   Side     Process     Mach     CT
Module A     Top     SMT     Ln1     10
Module A     Bottom     SMT     Ln2     12
Module A           SL     WSM1     15
Module A           FA     FA1     20
Module B     Top     SMT     Ln1     5
Module B           SL     WSM1     9
Module B           FA     FA1     12

 

For Module A, the Constrain is SMT because there are two machines that need to process the product (top side and then Bottom side), therefore, the Total Cycle for the process is 22

For Module B, FA is the constrain since SMT only have one machine

My approach was to count the number of machines based on the product and the process to assure that I have the Total cycle Time and then evaluate the max cycle based on the product, process and this Total cycle,....But Im really lost with DAX functions

Any idea?

 

 

5 Replies

  • Greg_Deckler's avatar
    Greg_Deckler
    Community Champion
    4 years ago

    fzn4hs Maybe:

    Measure =
  // Assumes you have [Product] column in your visual
  VAR __Table = SUMMARIZE('Table',[Process],"__TotalCT",SUM('Table'[CT])
  VAR __Max = MAXX(__Table,[__TotalCT])
RETURN
  MAXX(FILTER(__Table,[__TotalCT]=__Max),[Process])

    It's basically Lookup Min/Max. Lookup Min/Max - Microsoft Power BI Community

  • fzn4hs's avatar
    fzn4hs
    Frequent Visitor
    4 years ago

    Thank you Greg_Deckler 

    Maybe Im doing something wrong...This is what I did

     

    My Columns:

    [Product]      [SIDE]     [PROCESS]     [MACH]     [CT]

     

    According with the proposal

     

    Measure =
    //  I assume that __Table,  __TotalCT and__Max are the variables name

    // I believe that 'Table' is the name of the table where this data resides. For me this table's name is CAP_TABLE


    VAR __Table = SUMMARIZE('CAP_TABLE',[Process],"__TotalCT ",SUM('CAP_TABLE'[CT])
    VAR __Max = MAXX(__Table ,[__TotalCT ])
    RETURN
    MAXX(FILTER(__Table ,[__TotalCT ]=__Max ),[Process])

     

    This is my logic (maybe wrong)

     

     __TotalCT should be the MAX of [CT]  for each [PROCESS] where  [Product] is the same and  [MACH] is different

    ej

      For Module A, the product has two sides, each run in different machines (SIDE 1 in Ln1 = 10 sec and SIDE 2 in Ln2=12). Since [MACH] are different the PROCESS output is 12 sec ( the machines can run at the same time, so the output will be based on the highest CT)

    Once I have the Process CT, I need to compare with the rest of the PROCESS CT and the highest will be the constrain (in this case is FA=20)

     

    I hope that this make sense to you

    Thank you for your help!

    • Greg_Deckler's avatar
      Greg_Deckler
      Community Champion
      4 years ago

      fzn4hs I think I messed up and put the wrong column in for the summarize:

      Measure =
  // Assumes you have [Product] column in your visual
  VAR __Table = SUMMARIZE('Table',[Mach],"__TotalCT",SUM('Table'[CT])
  VAR __Max = MAXX(__Table,[__TotalCT])
RETURN
  MAXX(FILTER(__Table,[__TotalCT]=__Max),[Process])

      Should be a summarize by Mach, not Process.

      • fzn4hs's avatar
        fzn4hs
        Frequent Visitor
        4 years ago

        It does not recognize 

        [__TotalCT]

        Is this another column that I need to calculate? Or should be calculated in the same measure?