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Module: Aggregate Planning Operations Management as a Competitive Weapon

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Operations Management as a Competitive Weapon. Module:. Aggregate Planning. OM Course Framework. 3. Dependability - Project Management - JIT. 1. Cost - Design & Selection. 4. Flexibility - Inventory - Supply Chain - Location - Forecasting - Aggregate Planning. 2. Quality - PowerPoint PPT Presentation

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Page 1: Module:

Module:

Aggregate Planning

Operations Management as a Competitive Weapon

Page 2: Module:

2Module: Aggregate Planning

OM Course Framework

1. Cost

- Design & Selection

2. Quality

- TQM

- SQC

3. Dependability

- Project Management

- JIT 4. Flexibility

- Inventory

- Supply Chain

- Location

- Forecasting

- Aggregate Planning

Page 3: Module:

3Module: Aggregate Planning

Learning Objectives

At the end of this module, each student will be able to:

1. Discuss aggregate planning

2. Evaluate aggregate planning

strategies

3. Discuss yield management

Page 4: Module:

4Module: Aggregate Planning

Provides the quantity and timing of

production for intermediate future

Uses (‘aggregate’) production

Involves capacity and demand

variables

Why: Key interface to capital

budgeting process

1. Aggregate Planning

Page 5: Module:

5Module: Aggregate Planning 6

Aggregate Planning Goal For each period in the planning horizon,

specify the appropriate combination of production rate

workforce level

inventory level

Minimize sum of individual period’s

total costs

Page 6: Module:

6Module: Aggregate Planning

2. AP Basic Strategies

Level capacity:

Chase demand:

+

-

+

Page 7: Module:

7Module: Aggregate Planning

Other Considerations

Chase Level

Basic Cost: $ ?? $ ??

Hire & Fire -

Plant & Equipment

Inventory -

Total: $ ????? $ ?????

Page 8: Module:

8Module: Aggregate Planning

3. Yield Management

Objective: Allocate

Capacity

Customers

Price

Time

Maximize Revenue

Page 9: Module:

9Module: Aggregate Planning

Typical Characteristics

1. Capacity

2. Markets

3. Inventory

4. Purchase

5. Demand

Page 10: Module:

10Module: Aggregate Planning

Example

No- Shows% of

Experiences

Cumulative % of

Experiences

0 5 5

1 8 13

2 10 23

3 15 38

4 20 58

5 15 73

6 11 84

7 6 90

8 5 95

9 4 99

10 1 100

100

Page 11: Module:

11Module: Aggregate Planning

Solution Procedure: Marginal Cost

Cu Underestimated demand(Cont. margin)

[Denied reservation; have room]“spoilage”

Co Overestimated demand(Alternative cost)

[Have reservation; no room]“walked” “spill”

Page 12: Module:

12Module: Aggregate Planning

Solution Procedure: Marginal Cost

Example: Cu = $80

Co = $200

Suppose we arbitrarily plan on 2 no-shows.

Actual # of

No-ShowsCost

% of

Experiences

Expected

cost

0 400 5 20.00

1 200 8 16.00

2 0 10 0.00

3 80 15 12.00

4 160 20 32.00

5 240 15 36.00

6 320 11 35.20

7 400 6 24.00

8 480 5 24.00

9 560 4 22.40

10 640 1 6.40

Total $228.007 * Cu = 7*80 = $560

2 * Co = 2*200 = $400

Page 13: Module:

13Module: Aggregate Planning

Solution Procedure: Marginal Cost

0

200

400

600

800

1,000

1,200

0 1 2 3 4 5 6 7 8 9 10

Planned No-Shows

Exp

ecte

d T

ota

l C

ost

($ )

Page 14: Module:

14Module: Aggregate Planning

Solution Procedure: Marginal Cost

Rule: Add no-shows as long as total expected cost is decreasing.

OR: P(Co) > (1 – P)Cu

Stocking level Cu / (Co + Cu)

Page 15: Module:

15Module: Aggregate Planning

Solution Procedure: Marginal Cost

Cu = $80; Co = $200; SL= 80/ (80 + 200) = 0.286 No- Shows

% of

Experiences

Cumulative % of

Experiences

0 5 5

1 8 13

2 10 23

3 15 38

4 20 58

5 15 73

6 11 84

7 6 90

8 5 95

9 4 99

10 1 100