(!******************************************************
   Mosel User Guide Example Problems
   ================================= 

   file blend3c.mos
   ````````````````
   Reading data from an Excel spreadsheet
   - using the CSV driver -
   
   (c) 2013 Fair Isaac Corporation
       author: S. Heipcke, Jan. 2013
*******************************************************!)

model "Blend 3" 
 uses  "mmxprs", "mmsheet" 

 declarations
  REV = 125                      ! Unit revenue of product
  MINGRADE = 4                   ! Minimum permitted grade of product
  MAXGRADE = 5                   ! Maximum permitted grade of product
  ORES = 1..2                    ! Range of ores

  COST: array(ORES) of real      ! Unit cost of ores
  AVAIL: array(ORES) of real     ! Availability of ores
  GRADE: array(ORES) of real     ! Grade of ores (measured per unit of mass)

  use: array(ORES) of mpvar      ! Quantities of ores used
 end-declarations

!*** Read data from spreadsheet blend.csv ***
! Spreadsheet range contains data only (no header line):
 initializations from "mmsheet.csv:blend.csv"
  [COST,AVAIL,GRADE] as "[B3:E4]"    ! or: "[R3C2:R4C5]"
 end-initializations

(! Or (spreadsheet range includes a header line as with ODBC):
 initializations from "mmsheet.csv:blend.csv"
  [COST,AVAIL,GRADE] as "skiph;[B2:E4]" 
 end-initializations
!)

! Objective: maximize total profit
 Profit:= sum(o in ORES) (REV-COST(o))* use(o)

! Lower and upper bounds on ore quality
 sum(o in ORES) (GRADE(o)-MINGRADE)*use(o) >= 0
 sum(o in ORES) (MAXGRADE-GRADE(o))*use(o) >= 0

! Set upper bounds on variables
 forall(o in ORES) use(o) <= AVAIL(o)

 maximize(Profit)                 ! Solve the LP-problem

 ! Print out the solution
 writeln("Solution:\n Objective: ", getobjval)
 forall(o in ORES)  writeln(" use(" + o + "): ", getsol(use(o)))

end-model