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1 5. Master Production Scheduling 1 5. Master Production Scheduling

1 5. Master Production Scheduling - PowerPoint Presentation

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1 5. Master Production Scheduling - PPT Presentation

Homework problems 345679 2 1 The MPS Activity What is an MPS It is the output of the master scheduling process which encompasses the variety of activities involved in the preparation and maintenance of the master schedule ID: 730400

production mps master schedule mps production schedule master period forecast time atp planning orders fig order balance projected lot

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Slide1

1

5. Master Production Scheduling

Homework problems: 3,4,5,6,7,9.Slide2

2

1. The MPS Activity

What is an MPS?

It is the output of the master scheduling process, which encompasses the variety of activities involved in the preparation and maintenance of the master schedule.

It is an anticipated build schedule, Not a forecast

It is a statement of Production, NOT a statement of Demand

It translates the SOP into a plan for producing specific products in the future. Figure 5.1

SOP is an aggregate statement of the manufacturing output required, but MPS is a statement of the specific products that make up that output.

As the statement of output, the MPS forms the basic communication link between the market and manufacturing.Slide3

3

1. The MPS Activity

MPS and the Business Environment

The MPS is stated in terms of product specifications–usually part numbers which have specific bills of materials (BOM)

In a make-to-stock company, the MPS is a statement of how much of each end item to be produced and when it will be available.

In assemble-to-order environments, the MPS may be stated in terms of an “average” final product.

In an assemble-to-order firm, the large number of possible product combinations is represented with a planning bill of materials.

In a make-to-order (or engineer-to-order) firm, the MPS is usually defined as the specific end item(s) that make up an actual customer order.Slide4

4

1. The MPS Activity

An MPS is a detailed plan (a statement of planned future output) that states how many end item/products (or product options or group of models) will be produced within specified periods of time.

End items are either finished products or the highest level assemblies from which shippable products are built.

An MPS must be stated in terms used to determine component-part needs (e.g., BOM) and other requirements, but NOT in dollars.

Time periods are usually measured in weeks, although they may be measured in hours, days, or even months.Slide5

5

Constraints of MPS

a. Sum of the MPS quantities must equal those of PRODUCTION PLAN

b. Total requirements for a product must be allocated over time in an efficient manner. Considerations involved are:Costs of production (and setups)

Inventory carrying costs

c. CAPACITY LIMITATION must be recognized.

Production may be delayed or take place before market demand in order to improve utilization, reduce cost, etc.

Slide6

6

An MPS Example

200

Ladder-back chair

Kitchen chair

Desk chair

1

2

April

May

790

3

4

5

6

7

8

200

150

120

200

150

200

120

Aggregate

production plan

for chair family

550Slide7

7

The MPS Process

No

Yes

Are resources available?

Authorized production plan

Prospective master production schedule

Material requirements planning

Authorized master production scheduleSlide8

8

1. The MPS Activity

Master Production Scheduling LinkagesThe MPS is the driver of all detailed manufacturing activities need to meet output objectives.

The MPS is the basis for key inter-functional trade-offs.

Production and sales

Financial budgets should be integrated with MPS activities.Slide9

9

Fig. 5.1 MPS in the MPC System

Resource

planning

Sales and operations

planning

Demand

management

Master production

scheduling

Detailed material

planning

Enterprise Resource Planning (ERP) System

Front End

Engine

Rough-cut capacity

planningSlide10

10

2. MPS TechniquesSlide11

11

2. MPS Techniques

The time-phased record (Fig. 5.2)Leveling strategy (Fig. 5.2)

Chase strategy (additional example)Lot sizing strategy (Fig. 5.3)Rolling through time (Figs. 5.3, 5.4, 5.5)

Order promising and ATP (Figs. 5.6, 5.7)

Consuming the forecast (Figs. 5.8,5.9,5.10)

Demand time fence and planning time fence

(handouts)Slide12

12

2. MPS Techniques

The time-phased record with level MPS strategy (Fig. 5.2)

A means of gathering and displaying critical scheduling information (Forecast, available stock, production schedule)

On hand

Period

1

2

3

4

5

Forecast

5

5

8

10

15

Projected available balance

20

25

30

32

32

27

Master production schedule

10

10

10

10

10Slide13

13

2. MPS Techniques

Chase MPS strategy example

Production (MPS) reflects the forecasted demandConstant projected available balance inventory

On hand

Period

1

2

3

4

5

Forecast

5

5

8

10

15

Projected available balance

20

20

20

20

20

20

Master production schedule

5

5

8

10

15Slide14

Lot Sizing strategy (Fig. 5.3)

Period 1 – 5 plan

Period

On hand

1

2

3

4

5

Forecast

5

5

8

10

15

Projected available balance

20

15

10

32

22

7

Master production schedule

30

Lot size = 30 Safety stock = 5Slide15

Rolling through time (Fig. 5.3

5.4)

Period 1 – 5 plan

Period

On hand

1

2

3

4

5

Forecast

5

5

8

10

15

Projected available balance

20

15

10

32

22

7

Master production schedule

30

Lot size = 30 Safety stock = 5

Period 2 – 6 plan

Period

On hand

2

3

4

5

6

Forecast

20

20

20

15

20

Projected available balance

10

-10

0

-20

-35

-55

Master production schedule

30

Lot size = 30 Safety stock = 5Slide16

Rolling through time (Fig. 5.3

5.4)

Period 2 – 6 plan

Period

On hand

2

3

4

5

6

Forecast

20

20

20

15

20

Projected available balance

10

-10

0

-20

-35

-55

Master production schedule

30

Lot size = 30 Safety stock = 5Slide17

Rescheduled MPS (Fig. 5.5)

Period 2 – 6 plan

Period

On hand

2

3

4

5

6

Forecast

20

20

20

15

20

Projected available balance

10

20

30

10

25

5

Master production schedule

30

30

30

Lot size = 30 Safety stock = 5Slide18

Available-to-Promise (ATP)

When immediate delivery is not expected (or is not possible due to stockouts), a promised delivery date must be established

The order promising task is to determine when the shipment can be madeAvailable-to-promise (ATP) procedures coordinate order promising with production schedulesSlide19

Available-to-Promise (ATP) Calculation

ATP

1 = beginning on-hand + MPS – sum of the orders before the next MPS receiptFor subsequent weeks (when MPS occurs):Discrete logic:ATP

subsequent weeks = MPS – sum of the orders before the next MPS receiptCumulative logic:

ATP

subsequent weeks

= Previous ATP + MPS – sum of the orders before the next MPS receiptSlide20

Discrete logic ATP treats each period independently (Fig. 5.6)

Period

On hand

1

2

3

4

5

Forecast

5

5

8

10

15

Orders

5

3

2

0

0

Projected available balance

20

15

10

32

22

7

Available-to-promise

12

28

Master production schedule

30

Lot size = 30 Safety stock = 5Slide21

Cumulative logic ATP carries ATP units forward (Fig.5.7)

Period

On hand

1

2

3

4

5

Forecast

5

5

8

10

15

Orders

5

3

2

0

0

Projected available balance

20

15

10

32

22

7

Available-to-promise

12

40

Master production schedule

30

Lot size = 30 Safety stock = 5Slide22

22

Consuming the Forecast

In the ATP calculation, demand is considered to be the maximum of forecast and actual customer orders

This is a conservative approachHope that we will eventually sell at least the forecast quantity

Adjusts for periods where demand exceeds the forecastSlide23

23

Consuming the Forecast

Assuming the following orders come in during period 2:

Order # Amount Desired week

1 5 2

2 15 3 3 35 6 4 10 5

Can we accept all these orders?

To accept all these orders, we need to schedule MPS in 5 and 6.

Slide24

Discrete logic ATP (Fig.5.8)

Period

On hand

2

3

4

5

6

Forecast

5

8

10

15

20

Orders

3+

5

(new)

2+

15

0

10

35

Projected available balance

15

7

20

10

-5

-40

Available-to-promise

7

-32

Master production schedule

30

Lot size = 30 Safety stock = 5Slide25

Discrete logic ATP after update (Fig.5.9)

Period

On hand

2

3

4

5

6

Forecast

5

8

10

15

20

Orders

3+5(new)

2+15

0

10

35

Projected available balance

15

7

20

10

25

20

Available-to-promise

7

13

20

-5

Master production schedule

30

30

30

Lot size = 30 Safety stock = 5Slide26

Revising ATP due to negative ATP in subsequent week

Period

On hand

3

4

5

6

7

Forecast

10

10

10

10

15

Orders

20

2

35

Projected available balance

30

10

20

-15

-30

Available-to-promise

3

0

Master production schedule

30

Lot size = 30 Safety stock = 5Slide27

27

Compared to the discrete logic, cumulative ATP logic may look easier to use for order acceptance decisions, it might overstate the real availability.

The use of PAB and ATP is the key to effective master scheduling.

Negative PAB => potential problem

Negative ATP => real problem

ATPSlide28

28

5.3 MPS in Assemble-to-Order Environments

In an assemble-to-order (ATO) environment, the possible combinations of end items (and thus MPS needed) can be huge (Fig. 5.11 and DELL’s PCs)

Specific end item bills of materials (BOM) are replaced with a planning bill of materials, which represents the potential product combinations

One type of planning BOM is the

super bill

, which describes the usage of options and components that make up the

average

productSlide29

29

Fig. 5.11 The MPS Hourglass

Establish MPS at the subassembly level

End items

ComponentsSlide30

30

BOM Structuring for the MPS

Planning Bill (of Material): an artificial grouping of items or events in bill-of-material format used to facilitate master scheduling and material planning

.Super Bill (of Material): a type of planning bill, located at the top in the structure, that ties together various modular bills (and possibly a common parts bill) to define an entire product or product family. That is, it states the related modules/options that make up the

average

end item. The quantity per relationship of the super bill to its modules represents the forecasted percentage of demand of each module. The super bill is very useful for planning and (master) scheduling purposes. Figure 5.12 Slide31

Super Bill (of Materials) Fig. 5.12Slide32

32

What are the pros and cons of super bill?

Reduce the large number of MPS needed.But when orders are received, ATP must be applied to EACH option. That is, each of the affected modules must be checked (See Fig. 5.13) Slide33

Using Available-to-Promise Logic with Planning BOM

(Fig. 5.13)

Common Parts Available?Gear Available?

Taylor Available?

Book order

Try 1 period later

No

No

No

Yes

Yes

YesSlide34

34

5.4 Two-Level Master Production Schedules

When a planning BOM is used, a final assembly schedule (FAS) is often used

States the set of end products to be built over a time periodTwo-level MPS coordinates component production and the FAS

Component production is controlled by aggregate production plan in the FAS

Final assembly is controlled by the FAS

Either discrete or cumulative ATP logic can applySlide35

Two-Level Master Production Schedule with discrete ATP logic

4-Horsepower Tillers

(Aggregate

)

Period

On hand

1

2

3

4

5

Production Plan

100

100

100

100

100

Orders

100

72

54

0

0

Projected available balance

0

0

0

0

0

0

Available-to-promise

0

28

46

100

100

Master production schedule

100

100

100

100

100

Safety stock = 0

Taylor Brand 4-HP Tillers (

FAS

)

Period

On hand

1

2

3

4

5

Forecast for model (40% of total)

40

40

40

40

40

Orders

42

37

23

0

0

Projected available balance

10

48

88

48

88

48

Available-to-promise

48

20

80

Master production schedule

80

80

80

Lot size = 80 Safety stock = 10Slide36

36

5.5 Master Production Schedule Stability

A stable MPS translates to stable component schedules

Stability allows improved plant performanceFailure to change the MPS can lead to reduced customer service and increased inventory (failure to react)

Excessive MPS changes can lead to reduced productivitySlide37

Freezing the Master Production Schedule

Inside the frozen horizon no order changes are allowed

Only occasional changes

Minor changes

Most changesSlide38

38

Demand & Planning Time Fence

Demand time fence:The number of periods, beginning with period one, during which changes to the MPS are typically not accepted due to excessive cost caused by schedule disruption. Inside the demand time fence, the

forecast is ignored in calculating the PAB, because customer orders, not the forecast, matter in the near term.

Planning time fence:

The number of periods, beginning with period one, during which the computer will not reschedule MPS orders. Usually the MPS is stated in terms of

firm

planned orders

inside the planning time fence.

The planning time fence is typically at or outside the

cumulative

lead time for the master scheduled item.

Example.Slide39

39

PAB with time fence

The projected available balance (PAB) is calculated in two ways, depending on whether the period is before or after the demand time fence.Before: PAB = [prior period PAB] + [MPS] – [Customer Order]

After: PAB = [prior period PAB] + [MPS] – Max (Customer Order or Forecast)Slide40

40

MPS example with demand and planning time fenceSlide41

41

H.W. MPS with demand and planning time fence

Onhand

=40; Lost size=50

Demand time fence=4

Planning time fence=10

Period

1

2

3

4

5

6

7

8

9

10

Forecast

18

21

17

17

12

14

23

28

30

25

Orders

19

20

15

20

6

20

4

6

12

0

Projected available balance

Available-to-promise

Master production schedule

Update PAB, schedule MPS, and calculate ATP.Slide42

42

5.6 Managing the Master Production Schedule

To be controlled, the MPS must be realistic

The MPS must not be overstated against the manufacturing budget and capacity constraints, and sum of the MPS should equal the production plan.Performance Measures:

Against the schedule

Customer service (meeting due dates; lead time performance)Slide43

Scheduling production using priority index

Beginning

Weekly

Lot

Hours per

Product

inventory

forecast

size

lot size

A

20

5

50

20

B

50

40

250

80

C

-30

35

150

60

D

25

10

100

30

Based on the above data, calculate priority index for each product and schedule

production, where Priority index = weeks of supply = (beginning inventory) / (weekly forecast)

Product

P

1

P

2

P

3

P

4

P

5

P

6

P

7

P

8

A

B

C

D

Priorities: Slide44

Scheduling production using priority index

Product

P

1

P

2

P

3

P

4

P

5

P

6

P

7

P

8

A

4

3

 

 

0

 

-2

4.5

B

1.25

0.25

3.5

1.5

0.5

C

-0.86

0.64

-0.57

0.29

0.71

D

2.5

1.5

-1.5

6.5

5.5

35

30

 

 

 

 

 

 

 

25

 

 

 

 

 

 

 

20

 

 

 

 

 

 

 

15

 

 

 

 

 

 

 

10

 

 

 

 

 

 

 

5

 

 

 

 

 

 

 

0

 

 

 

 

 

 

 

 

1

2

3

4

5

6

7

8

Week

Hours

Capacity= 35 hours a weekSlide45

Concluding Principles

45

The MPS unit should reflect the business environment and the company’s chosen approach.If a common ERP database is implemented, the MPS function should use that data.Regardless of the firm’s environment, effective scheduling is facilitated by common systems, time-phased processing, and MPS techniques.

Customer order processing should be closely linked to MPS.Slide46

Concluding Principles

46

ATP information should be derived from the MPS and provided to the sales department.

An FAS should be used to convert the anticipated build schedule into the final build schedule.The master production scheduler should ensure that the sum of the parts (the MPS) is equal to the whole (the operations plan

).