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*  Limited options exist Modify capacity Use capacity Intermediate-range planning Subcontract Add personnel Add equipment Build or use inventory  Add shifts Short-range planning Schedule jobs Schedule personnel  Allocate machinery * Long-range planning Add facilities Add long lead time equipment *
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Estimate Capacity Requirements Item Client X Client Y Annual demand forecast (copies) 2000.00 6000.00 Standard processing time (hour/copy)   0.50   0.70 Average lot size (copies per report)   20.00   30.00 Standard setup time (hours)   0.25   0.40 [ Dp  + ( D / Q ) s ] product 1  + ... + [ Dp  + ( D / Q ) s ] product  n N [1 – ( C /100)] M  =
Estimate Capacity Requirements Item Client X Client Y Annual demand forecast (copies) 2000.00  6000.00 Standard processing time (hour/copy)   0.50   0.70 Average lot size (copies per report)   20.00   30.00 Standard setup time (hours)   0.25   0.40 [2000(0.5) + (2000/20)(0.25)] client X  + [6000(0.7) + (6000/30)(0.4)] client Y (250 days/year)(1 shift/day)(8 hours/shift)(1.0 – 15/100) M  =
Estimate Capacity Requirements Item Client X Client Y Annual demand forecast (copies) 2000.00 6000.00 Standard processing time (hour/copy)   0.50   0.70 Average lot size (copies per report)   20.00   30.00 Standard setup time (hours)   0.25   0.40 M  =  =  3.12    4 machines 5305 1700
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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Inputs To customers Operation 2 is a bottleneck 50/hr 1 2 3 200/hr 200/hr
 
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Seasonal patterns  are characterized by repeatable periods of ups and downs over  short periods  of time; if you have seasonal patterns, you should have complementary demand
Cyclical patterns  are regular patterns in a data series that take place over long periods of time.
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Aggregate Planning Strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],* Number of part-time employees Dock Aisle TIME PERIOD 1 2 3 4 5 6 Total Requirement* 6 12 18 15 13 14 78 Current employment = 10 part-time clerks
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Peak Requirement 1.20 w  = 18 employees in peak period Dock Aisle TIME PERIOD 1 2 3 4 5 6 Total Requirement* 6 12 18 15 13 14 78 Current employment = 10 part-time clerks
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Peak Requirement 1.20 w  = 18 employees in peak period Dock Aisle TIME PERIOD 1 2 3 4 5 6 Total Requirement* 6 12 18 15 13 14 78 Current employment = 10 part-time clerks w  =  = 15 employees 18 1.20
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Peak Requirement 1.20 w  = 18 employees in peak period Dock Aisle TIME PERIOD 1 2 3 4 5 6 Total Requirement* 6 12 18 15 13 14 78 Current employment = 10 part-time clerks w  =  = 15 employees 18 1.20
Dock Aisle TIME PERIOD 1 2 3 4 5 6 Total Requirement* 6 12 18 15 13 14 78 Current employment = 10 part-time clerks
[object Object],[object Object],[object Object],[object Object]
Level Production Plan
Chase Production Strategy
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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Independent Demand A B(4) C(2) D(2) E(1) D(3) F(2) Dependent Demand Independent demand is uncertain.  Dependent demand is certain.
MRP Inputs MRP Processing MRP Outputs Master schedule Bill of materials Inventory records MRP computer programs Changes Order releases Planned-order schedules Exception reports Planning reports Performance- control reports Inventory transaction Primary reports Secondary reports
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Product Structure Tree Lead Times
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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
An ordering schedule that covers the gross requirements for each week is called  lot-for-lot (LFL) .
The  fixed order quantity policy (FOQ)  uses a fixed order size for every order or production run.
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[object Object],[object Object],[object Object],[object Object]
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Develop a tentative master production schedule Use MRP to simulate material requirements Convert material requirements to resource requirements Firm up a portion of the MPS Is shop capacity adequate? Can capacity be changed to meet requirements Revise tentative master production schedule Change capacity Yes No Yes No
 
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Operations Notes

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  • 99. * Limited options exist Modify capacity Use capacity Intermediate-range planning Subcontract Add personnel Add equipment Build or use inventory Add shifts Short-range planning Schedule jobs Schedule personnel Allocate machinery * Long-range planning Add facilities Add long lead time equipment *
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  • 104. Estimate Capacity Requirements Item Client X Client Y Annual demand forecast (copies) 2000.00 6000.00 Standard processing time (hour/copy) 0.50 0.70 Average lot size (copies per report) 20.00 30.00 Standard setup time (hours) 0.25 0.40 [ Dp + ( D / Q ) s ] product 1 + ... + [ Dp + ( D / Q ) s ] product n N [1 – ( C /100)] M =
  • 105. Estimate Capacity Requirements Item Client X Client Y Annual demand forecast (copies) 2000.00 6000.00 Standard processing time (hour/copy) 0.50 0.70 Average lot size (copies per report) 20.00 30.00 Standard setup time (hours) 0.25 0.40 [2000(0.5) + (2000/20)(0.25)] client X + [6000(0.7) + (6000/30)(0.4)] client Y (250 days/year)(1 shift/day)(8 hours/shift)(1.0 – 15/100) M =
  • 106. Estimate Capacity Requirements Item Client X Client Y Annual demand forecast (copies) 2000.00 6000.00 Standard processing time (hour/copy) 0.50 0.70 Average lot size (copies per report) 20.00 30.00 Standard setup time (hours) 0.25 0.40 M = = 3.12  4 machines 5305 1700
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  • 117. Seasonal patterns are characterized by repeatable periods of ups and downs over short periods of time; if you have seasonal patterns, you should have complementary demand
  • 118. Cyclical patterns are regular patterns in a data series that take place over long periods of time.
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  • 142. Dock Aisle TIME PERIOD 1 2 3 4 5 6 Total Requirement* 6 12 18 15 13 14 78 Current employment = 10 part-time clerks
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  • 153. Independent Demand A B(4) C(2) D(2) E(1) D(3) F(2) Dependent Demand Independent demand is uncertain. Dependent demand is certain.
  • 154. MRP Inputs MRP Processing MRP Outputs Master schedule Bill of materials Inventory records MRP computer programs Changes Order releases Planned-order schedules Exception reports Planning reports Performance- control reports Inventory transaction Primary reports Secondary reports
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  • 164. An ordering schedule that covers the gross requirements for each week is called lot-for-lot (LFL) .
  • 165. The fixed order quantity policy (FOQ) uses a fixed order size for every order or production run.
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  • 171. Develop a tentative master production schedule Use MRP to simulate material requirements Convert material requirements to resource requirements Firm up a portion of the MPS Is shop capacity adequate? Can capacity be changed to meet requirements Revise tentative master production schedule Change capacity Yes No Yes No
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Hinweis der Redaktion

  1. 32 We need to determine the number of machines required for this set of tasks. This is the basic equation. Note, this has been shortened from the example in the book due to space limitations.
  2. 33 We substitute in the basic information. This slide advances automatically.
  3. 35 The equation is solved and the number of machines is known. Notice the rounding up, necessary to actually meet the capacity requirements.
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  6. 26 First step is to solve for the number of employees required at peak demand.
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