1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive...

38
1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput rate R Link through Little’s Law Link to Financial Measures Levers for Improvement CRU Computer Rentals Capacity and Flow Time Analysis Pizza Pazza Levers for Improvement Multi-product Capacity Management and Investment Joint Marketing & Production Decisions Optimal Capacity Investment

Transcript of 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive...

Page 1: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

1

Operations Management

Process Analysis and Applications Module

• Changing Sources of Competitive Advantage• Operational Measures: Time T, Inventory I, Throughput rate R

• Link through Little’s Law• Link to Financial Measures• Levers for Improvement• CRU Computer Rentals

• Capacity and Flow Time Analysis• Pizza Pazza• Levers for Improvement

• Multi-product Capacity Management and Investment• Joint Marketing & Production Decisions• Optimal Capacity Investment• National Cranberry Cooperative

Page 2: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

2

How can operations help a company compete?The changing sources of competitive advantage

• Low Cost & Scale Economies (< 1960s)– You can have any color you want as long as it is black

• Focused Factories (mid 1960s)• Flexible Factories and Product variety (1970s)

– A car for every taste and purse. • Quality (1980s)

– Quality is free.• Time (late 1980s-1990s)

– We love your product but where is it?– Don’t sell what you produce. Produce what sells.

P

V

Q

T

Page 3: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

3

Another example of financial flows at the corporate level: Mobile Handsets

Data:– End of quarter inventory position from 10Q statements– Sales from income statement (smooth 9month avg.)

How can financial flows help explain the difference in performance during the downturn?

199912/31/99 3/31/00 6/30/00 9/30/00 12/31/00 3/31/01 6/30/01 9/30/01

1,786$ 1,925$ 2,290$ 2,062$ 2,014$ 1,985$ 1,622$ 1,774$ 1,437$ 1,437$ 1,437$ 1,437$ 1,437$ 1,692$ 1,692$ 1,692$ 1.24 1.34 1.59 1.43 1.40 1.17 0.96 1.05

Ericson ($M) Inventory 3,016$ 4,031$ 4,612$ 4,984$ 4,671$ 4,667$ 2,947$ 2,647$ 486$ 486$ 486$ 486$ 486$ 245$ 245$ 245$ 6.20 8.29 9.48 10.25 9.60 19.02 12.01 10.79

3,707$ 4,688$ 5,446$ 5,557$ 5,242$ 4,533$ 3,842$ 3,250$ 1,088$ 1,088$ 1,088$ 1,088$ 1,088$ 830$ 830$ 830$ 3.41 4.31 5.01 5.11 4.82 5.46 4.63 3.91

2000 2001

Time (months)Motorola ($M) Inventory

Sales per month (9 month avg)Time (months)

Nokia ($M) InventorySales per month (9 month avg)Time (months)

Sales per month (9 month avg)

Page 4: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

4

Mobile Handsets: How explain the difference in performance?

$-

$1B

$2B

$3B

$4B

$5B

$6B

8/28/99 12/6/99 3/15/00 6/23/00 10/1/00 1/9/01 4/19/01 7/28/01 11/5/01

Nokia

Ericson

Motorola

Inventory

$-

$1B

$2B

$3B

$4B

$5B

$6B

8/28/99 12/6/99 3/15/00 6/23/00 10/1/00 1/9/01 4/19/01 7/28/01 11/5/01

Nokia

Ericson

Motorola

Inventory

0

2

4

6

8

10

12

14

16

18

20wks

8/28/99 12/6/99 3/15/00 6/23/00 10/1/00 1/9/01 4/19/01 7/28/01 11/5/01

Nokia

Ericson

Motorola

Flow Time

0

2

4

6

8

10

12

14

16

18

20wks

8/28/99 12/6/99 3/15/00 6/23/00 10/1/00 1/9/01 4/19/01 7/28/01 11/5/01

Nokia

Ericson

Motorola

Flow Time

Page 5: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

5

Operational Performance Measures

• Flow time T• Throughput rate R• Inventory I• Process Cost

Page 6: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

6

Relating operational measures (flow time T, throughput R & inventory I)

with Little’s Law

• Inventory = Throughput x Flow Time

I = R x T

• Turnover = Throughput / Inventory

= 1/ T

Inventory I[units]

Flow rate/Throughput R

[units/hr]... ...... ......

Flow Time T [hrs]

Page 7: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

7

Process Flow Examples

Customer Flow: Taco Bell processes on average 1,500 customers per day (15 hours). On average there are 75 customers in the restaurant (waiting to place the order, waiting for the order to arrive, eating etc.). How long does an average customer spend at Taco Bell and what is the average customer turnover?

Monetary Flow: A major manufacturer sells $300 million worth of cellular equipment per year. Average amount in accounts receivables is $45million. How long does it take to process a sales order in accounts receivable?

Job Flow: The Travelers Insurance Company processes 10,000 claims per year. The average processing time is 3 weeks. Assuming 50 weeks in a year, what is the average number of claims “in process”?

Page 8: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

8

Process Flow Examples

Is she right? A general manager at Baxter states that her inventory turns three times a year. She also states that everything that Baxter buys gets processed and leaves the docks within six weeks. Are these statements consistent?

Page 9: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

9

EXAMPLE 3.2 : MBPF Inc.

MBPF Inc. manufactures prefabricated garages.Purchase sheet material, forms and assembles the finished product. Each garage needs a roof, a base.

Goal : To understand how long and where a $ spends time in MBPF process.

Where should we improve the flow time?

Page 10: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

10

MBPF Inc.: Consolidated Income Statement

Net Sales 250.0

Costs and expensesCost of Goods Sold 175.8Selling, general and administrative expenses 47.2Interest expense 4.0Depreciation 5.6Other (income) expenses 2.1TOTAL COSTS AND EXPENSES 234.7

INCOME BEFORE INCOME TAXES 15.3PROVISION FOR INCOME TAXES 7.0NET INCOME 8.3

RETAINED EARNINGS, BEGINNING OF YEAR 31.0LESS CASH DIVIDENDS DECLARED 2.1RETAINED EARNINGS AT END OF YEAR 37.2

NET INCOME PER COMMON SHARE 0.83DIVIDEND PER COMMON SHARE 0.21

Page 11: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

11

MBPF Inc.: Balance Sheet

CURRENT ASSETSCash 2.1Short-term investments at cost (approximate mkt.) 3.0Receivables, less allowances of $0.7 mil 27.9Inventories 50.6Other current assets 4.1TOTAL CURRENT ASSETS 87.7

PROPERTY, PLANT AND EQUIPMENT (at cost)Land 2.1Buildings 15.3Machinery and equipment 50.1Construction in progress 6.7

Subtotal 74.2Less accumulated depreciation 25.0

NET PROPERTY, PLANT AND EQUIPMENT 49.2

Investments 4.1Prepaid expenses and other deferred charges 1.9Other assets 4.0TOTALASSETS

146.9

Page 12: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

12

INVENTORYRaw materials (roof) 6.5Fabrication WIP (roof) 15.1Purchased parts (base) 8.6Assembly WIP 10.6Finished goods 9.8TOTAL 50.6

COST OF GOODS SOLDRaw materials 50.1Fabrication (L&OH) 60.2Purchased parts 40.2Assembly(L&OH) 25.3TOTAL 175.8

Raw Materials(roofs)

Fabrication (roofs)

Assembly

Purchased Parts (bases)

Finished Goods

Page 13: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

13

MBPF Inc.: Flow Times

RawMaterials

Fabrication PurchasedParts

Assembly FinishedGoods

Throughput R $/Year 50.1 110.3 40.2 175.8 175.8 $/Week 0.96 2.12 0.77 3.38 3.38Inventory I ($) 6.5 15.1 8.6 10.6 9.8Flow Time T =I/R (weeks)

6.75 7.12 11.12 3.14 2.90

I = R * T

Page 14: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

14

Raw Materials(roofs)

Fabrication (roofs)

$60.2/yr

Assembly

$25.3/yr

Purchased Parts (bases)

Finished Goods

$6.5$50.1/yr

$40.2/yr$8.6

$15.1

$10.6

$110.3/yr

$40.2/yr

$175.8/yr

$9.8$175.8/yr

MBPF Business Process Flows

Page 15: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

15

Flow rate R($/week)

0.96

Flow Time T (weeks)

Accounts

Receivable

Finished

GoodsAss

embl

y

Fabrication

Raw MaterialsPurchased Parts

11.12 6.75 7.12 3.14 2.90 5.80

0.77

2.12

3.38

5.0

MBPF Inc.: Flow Times

Page 16: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

16

CRU COMPUTER RENTALS

(to be distributed in class)

Page 17: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

18

Pizza Pazza: Flow Time Analysis

2. What is the minimum time to fill a rush order, assuming that all steps of the process are started only after the order is received? Without spending money, how would you reduce this response time?

3. What is the maximum number of orders that PP can fill per hour in steady state?

4. Assume that there are four orders waiting to be processed, Jean is just about to start mixing the sauce for another two pizzas (a fifth order) and Jacqueline is just about to start loading two pizza pans into the oven (a sixth order). A customer calls in with a new pizza order and wants to know when she can pick up her order. What due-date time should Jean promise assuming that she processes all orders in the sequence received?

Page 18: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

19

Operational Measure: Flow Time Driver: Activity Times

Critical Path:

Theoretical Flow Time:

Average Flow Time:

Page 19: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

20

Industry Process Average Flow Time

Theoretical Flow Time

Flow Time Efficiency

Life Insurance New Policy Application

72 hrs. 7 min. 0.16%

Consumer Packaging

New Graphic Design

18 days 2 hrs. 0.14%

Commercial Bank Consumer Loan

24 hrs. 34 min. 2.36%

Hospital Patient Billing 10 days 3 hrs. 3.75%

Automobile Manufacture

Financial Closing

11 days 5 hrs 5.60%

Most Time Inefficiency Comes from Waiting: Flow Times in White Collar Processes

Page 20: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

21

Levers for Reducing Flow Time• Decrease the work content of critical activities.

– work smarter.

– work faster.

– do it right the first time.

– change product mix.

• Move work content from critical to non-critical

activities.

– to non-critical path or to “outer loop.’’

• Reduce waiting time.

Page 21: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

22

A Recipe for Capacity Measurements

Resource Unit Load Resource Capacity Process Resource(time/job) Unit Capacity # of units Total Capacity Utilization*

* assuming system is processing at full capacity

Page 22: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

23

A Recipe for Capacity Measurements

Resource Unit Load Resource Capacity Process Resource(time/job) Unit Capacity # of units Total Capacity Utilization*

* assuming system is processing at full capacity

Page 23: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

25

Pizza Pazza: Flow Rate/Capacity Analysis

1. What is the minimum number of pizza pans needed to ensure that no order has to wait for a pan?

2. If the Jacqueline calls in sick one day, what is the maximum number of orders that PP can fill?

Page 24: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

26

A Recipe for Capacity Measurements

Resource Unit Load Resource Capacity Process Resource(time/job) Unit Capacity # of units Total Capacity Utilization*

* assuming system is processing at full capacity

Page 25: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

27

A Recipe for Capacity Measurements

Resource Unit Load Resource Capacity Process Resource(time/job) Unit Capacity # of units Total Capacity Utilization*

* assuming system is processing at full capacity

Page 26: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

28

Pricing: Wages and Quantity Discounts1. Assume Jean and Jacqueline decide to hire two

employees to perform their respective tasks; each paid €8 per hour. What is the contribution margin (revenue - variable costs) generated per hour of operation of the process if pizzas sell for €5 each? What is the minimum amount that Jean can charge per pizza, and still make a profit? – Resource cost =– Material cost =– Contribution margin if sale price is €5 =– Minimum sale price =

2. Is it worth offering any discount to encourage all orders to be for three pizzas? If so, how much?

Page 27: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

29

A Recipe for Capacity Measurements

Resource Unit Load Resource Capacity Process Resource(time/job) Unit Capacity # of units Total Capacity Utilization*

* assuming system is processing at full capacity

Page 28: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

30

Capacity Investments: Another oven? Task reallocation

1. The pizzas have become wildly popular and Jean feels that they can easily sell twenty pizzas per hour. To increase capacity, he is thinking of renting another industrial oven, which would cost €10 for each hour that the oven is used. Do you think it is worthwhile for Jean to rent the oven if the rest of the process is kept as is (assume that Jean and Jacqueline are doing the tasks)? What would be the contribution margin from each hour of operation of the process? – Resource cost =– Material cost =– Contribution margin if sale price is €5 =

2. Can you think of ways to increase profits by reallocating tasks between the employees?

Page 29: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

31

A Recipe for Capacity Measurements

Resource Unit Load Resource Capacity Process Resource(time/job) Unit Capacity # of units Total Capacity Utilization*

* assuming system is processing at full capacity

Page 30: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

32

Other factors affecting Process Capacity

• Batch (Order) Sizes:– Is it worth offering any discount to encourage all orders to

be for 3 pizzas if we have 2 ovens? If so, how much?

• Product Mix: see later

• other managerial policies ...

Page 31: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

33

Operational Measure: CapacityDrivers: Resource Loads

• (Theoretical) Capacity of a Resource

• Bottleneck Resource

• (Theoretical) Capacity of the Process

• Capacity Utilization of a Resource/Process =

throughput [units/hr]

capacity [units/hr]

Page 32: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

34

Levers for Increasing Process Capacity

• Decrease the work content of bottleneck activities– work smarter– work faster– do it right the first time– change product mix

• Move work content from bottlenecks to non-bottlenecks– create flexibility to handle tasks originally assigned to bottleneck– to non-critical resource or to third party

• Increase Net Availability– work longer: increase scheduled availability– increase scale (invest)– increase size of load batches/reduce or eliminate setups &

changeovers

Page 33: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

35

Increasing Process Capacity in The Goal

• “is to increase the capacity of only the bottlenecks”– “ensure the bottlenecks’ time is not wasted”

• increase availability of bottleneck resources• eliminate non-value added work from bottlenecks

– reduce/eliminate setups and changeovers• synchronize flows to & from bottleneck

– reduce starvation & blockage– “ the load of the bottlenecks (give it to non-bottlenecks)”

• move work from bottlenecks to non-bottlenecks• need resource flexibility

– unit capacity and/or #of units.• invest

Page 34: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

36

Product Mix Decisions:Pizza Pazza offers 2 pizza types

Sale Price of thin crust: €5

Cost of Materials: €1.40

Sale Price of deep dish: €7.50

Cost of Materials: €1.90

Which of these two products should Jean push to customers that call in and are undecided?

Page 35: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

37

A Recipe for Capacity MeasurementsResource Unit Load Resource Capacity Process Resource

(time/job) Unit Capacity # of units Total Capacity Utilization*

* assuming system is processing at full capacity

Suppose they take the same processing except that deep dish require 5 min (vs 2) in sauce prep and 29 min (vs 15) in baking.

Page 36: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

38

Product Mix Decisions

Margin of thin crust pizza = €3.60

Margin of deep dish pizza = €5.60

Margin per oven minute from thin crust

= 2*€3.60 / 16 min = € 0.45/min

Margin per oven minute from deep dish

= 2*€5.60 / 30 min = € 0.36/min

Page 37: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

39

National Cranberry Cooperative

Page 38: 1 Operations Management Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput.

40

Learning Objectives Module 2:Multi-Product Process Analysis & Apps

• Manage better with the three key operational measures and an inter-functional macro process view of the organization:

• Process measures: – Flow time manage critical activities– Capacity manage bottleneck resources

• Levers for improving– Flow time manage critical activities– Capacity & Throughput

• Process capacity depends on a zillion things– Effect of product mix decisions on process capacity

• marginal contribution per unit of bottleneck capacity used– Bottleneck may shift on adding capacity

diminishing returns to capacity investment