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Ch 13 - Aggregate Planning

  1. Introduction    (p528)
    1. Def - Aggregate Planning - determining the quantity and timing of production for the intermediate future (often 3 - 18 months ahead) in terms of a pseudo-product. Example, a firm produces four different models of PCs, aggregate scheduling done in terms of a generic PC.
    2. Aggregate plans are used to prepare human resource requirements and to facilitate negotiations with subcontractors.
    3. Aggregate Planning Strategies (p531)
      1. Inventory
      2. Hiring and Layoffs
      3. Overtime and Idle time
      4. Subcontracting
      5. Part-time Workers
      6. Back Ordering
      7. Influencing Demand - promotions, discounts
      8. Counterseasonal Product Mix - lawn mowers and snow blowers
    4. Objective - choose a combination of the above strategies to minimize total cost.
  2. *Charting Method
    1. Example 1 - Roofing Supplier - p534
      1. Plan 1 - constant workforce with varying inventory - p535
        Inventory carrying cost = $5 per unit per month

        Production rate = (Total demand) / (Total number of days)
                = 6,200/124 = 50 units/day

          Production
        at 50 units/day
        Demand  Inventory
        Change
        Ending
        Inventory
          Stock 
          Outs
          Cost 
          $
        Jan
        Feb
        Mar

        Apr
        May
        Jun
          1100
            900
          1050

          1050
          1100
          1000
            900
            700
            800

          1200
          1500
          1100
          +200
          +200
          +250

          -150
          -400
          -100
          200
          400
          650

          500
          100
              0
          0
          0
          0

          0
          0
          0
          1000
          2000
          3250

          2500
            500
                0
        Totals    6200   6200       $9250
      2. Plan 2 - Smaller workforce with subcontracting - see p536
      3. Plan 3 - Hiring and layoffs with no inventory
    2. Time consuming (even with Excel) to investigate several mixed strategies. No guarantee of optimal solution.
                  Do assigned HW
    3. Note: A similar analysis could be done for a service (law firm or accounting firm) using backorders and no inventory.
  3. *Transportation Method of Linear Programming           (p538)
    1. Considers overtime, idle time, inventory, subcontracting and backorders. Does give optimal solution.
    2. Farnsworth Tire Company - p538
      1. Input data
        Costs
            r - regular time      = $40/tire
            o - overtime          = $50/tire
            s - subcontracting  = $70/tire
            h - carrying            = $2/tire/month
            b - backordering   = $20/tire/month (assumption)
        Maximum production capacity in period j, j = 1, 2, 3.
            Rj - regular time= 700, 700, 700
            Oj - overtime= 50, 50, 50
            Sj - subcontracting= 150, 150, 130
        Demand in period j
            Dj= 800, 1000, 750
        Initial inventory I0 = 100
      2. Transportation Costs per tire - this table defines the matrix, a i j.
         

          j - Destinations

          i - Origins   Period 1   Period 2   Period 3
          1 - Initial inventory 0.0 h 2h
          2 - Reg-time period 1
          3 - Overtime period 1
          4 - Subcon period 1
        r
        o
        s
        r+h
        o+h
        s+h
        r+2h
        o+2h
        s+2h
          5 - Reg-time period 2
          6 - Overtime period 2
          7 - Subcon period 2
        r+b
        o+b
        s+b
        r
        o
        s
        r+h
        o+h
        s+h
          8 - Reg-time period 3
          9 - Overtime period 3
        10 - Subcon period 3
        r+2b
        o+2b
        s+2b
        r+b
        o+b
        s+b
        r
        o
        s
      3. Define decision variables
            X i j = Number of tires transported from origin i (production method i)
                      to destination j (time period j)
      4. Define objective function
            Minimize transportation cost = S a i j X i j
      5. Define constraints
            Origin 1   S X 1 j £  I0

             Origin 2   S X 2 j £  R1
            Origin 3   S X 3 j £  O1
            Origin 4   S X 4 j £  S1

            Origin 5   S X 5 j £  R2
            Origin 6   S X 6 j £  O2
            Origin 7   S X 7 j £  S2

            Origin 8   S X 8 j £  R3
            Origin 9   S X 9 j £  O3
            Origin 10   S X 10 j £  S3

            Destination 1    S X i 1 =  D1
            Destination 2    S X i 2 =  D2
            Destination 3    S X i 3 =  D3
                            Do assigned HW
      6. The Solution - X i j  (Table 13.7, p539)   
         

          j - Destinations

          i - Origins   Period 1   Period 2   Period 3
          1 Initial inventory   100       0       0
          2 Reg-time period 1
          3 Overtime period 1
          4 Subcon period 1
          700
              0
              0
              0
            50
          150
              0
              0
              0
          5 Reg-time period 2
          6 Overtime period 2 
          7 Subcon period 2
              0
              0
              0
          700
            50
            50
              0
              0
              0
          8 Reg-time period 3
          9 Overtime period 3
        10 Subcon period 3
              0
              0
              0
              0
              0
              0
          700
            50
              0
      7. The Aggregate Plan
              Period 1     Period 2     Period 3
          Reg-time    S X 2 j =  700     S X 5 j =  700     S X 8 j =  700 
          Overtime    S X 3 j =   50    S X 6 j =     50    S X 9 j =     50
          Subcontract     S X 4 j = 150    S X 7 j =    50    S X 10 j =     0
      8. To see Excel Solver solution (for your info only), click here to download worksheet H813ex05.xls.
                (This page was last edited on October 22, 2009 .)