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MSBM -11-98 - 1 New Product Design G Role of design in new product development G Conjoint Analysis for product design G Air pollution control equipment.

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Presentation on theme: "MSBM -11-98 - 1 New Product Design G Role of design in new product development G Conjoint Analysis for product design G Air pollution control equipment."— Presentation transcript:

1 MSBM -11-98 - 1 New Product Design G Role of design in new product development G Conjoint Analysis for product design G Air pollution control equipment example

2 MSBM -11-98 - 2 Where companies want to put their efforts in new product development: u Getting our new products to the market on time, as planned (76% of companies interviewed). u Improving the appeal of our new products to customers (73%). u Developing our new products faster from concept to introduction (68%). u Developing products that are easier to manufacture, sell, install, and service (61%). u Reducing costs/investments related to new product development and introduction (47%). u Reducing the payback period of our new products (47%). u Increasing the number of new products (44%) Arthur D. Little Worldwide Survey

3 MSBM -11-98 - 3 Breakdown of Success Factors: Process versus Environment Source: Robert G. Cooper, Winning at New Products (1993)

4 Success measured using four factors: (1) whether it met or exceeded management’s criteria for success, (2) the profitability level (1-10 scale), (3) market share at the end of three years, and (4) whether it met company sales and profit objectives (1-10 scale). Source: Robert G. Cooper, Winning at New Products (1993 ) Xerox 10-98 4 - 4

5 Source: Robert G. Cooper, Winning at New Products (1993) Xerox 10-98 4 - 5

6 Source: Robert G. Cooper, Winning at New Products (1993) Xerox 10-98 4 - 6

7 Source: Robert G. Cooper (1993) Xerox 10-98 4 - 7

8 MSBM -11-98 - 8 Value of Good Design 80% of a product’s manufacturing costs are incurred during the first 20% of its design (varies with product category).

9 MSBM -11-98 - 9 A way to understand and incorporate the structure of customer preferences into the new product design process. In particular, it enables one to evaluate how customers make tradeoffs between various product attributes. The basic output of conjoint analysis are: A numerical assessment of the relative importance that customers attach to attributes of a product category The value (utility) provided to customers by each potential feature of a product What is Conjoint Analysis?

10 MSBM -11-98 - 10 Customer Value Assessment Procedures Customer Value Attitude-Based Direct Questions Unconstrained uFocus groups uDirect survey questions uImportance and attitude ratings urule-based system/AI/expert systems Constrained/Compositional Methods uMultiattribute value analysis uBenchmarking Indirect/(Decompositional Methods) uConjoint analysis uPreference Regression Behavior-Based uChoice models uNeural networks uDiscriminant analysis Inferential/Value-Based uInternal engineering assessment uIndirect survey questions uField value-in-use assessment

11 MSBM -11-98 - 11 Why is Conjoint Analysis Useful? G Designing new products that enhance customer value G Forecasting sales/market share of alternative product concepts G Identifying market segments for which a given concept has high value G Identifying the “best” concept for a target segment

12 MSBM -11-98 - 12 Measuring Importance of Attributes When ordering a computer, how important is… Circle one Not Very Important Price 1 2 3 4 5 6 7 8 9 Performance 1 2 3 4 5 6 7 8 9 Reliability 1 2 3 4 5 6 7 8 9 Delivery time 1 2 3 4 5 6 7 8 9

13 MSBM -11-98 - 13 Should we offer our business travelers more room space or a fax machine in their room? Should we offer a shower or a bath in a hotel room? Given a target cost for a product, should we enhance product reliability or its performance? Should we use a steel or aluminum casing to increase customer preference for the new equipment? How Do We Resolve These “Design” Questions?

14 MSBM -11-98 - 14 Measuring Importance Using Conjoint Analysis ProductPerformance Reliability Price Preference 1HiHiHi___ 2HiHiLo___ 3HiLoHi___ 4HiLoLo___ 5LoHiHi___ 6LoHiLo___ 7LoLoHi___ 8LoLoLo___

15 MSBM -11-98 - 15 Attributes Price (4 options) Delivery_terms (4 options) Perf. specs Delivery timePrice Exceed by 20% 6 months$600k Exceed by 5% 9 months$700k Meet specs 12 months$800k Short by 5% 15 months$900k Delivery terms Installed, 2-year guarantee Installed, 1-year guarantee Installed, service contract FOB seller, service contract A total of 256 (4x4x4x4) different offerings can be designed from these options! An Example Conjoint Study: Air Pollution Control Equipment Performance specs (4 options) Delivery time (4 options)

16 MSBM -11-98 - 16 Data for Conjoint Analysis: Paired Comparisons DeluxeMid-levelmodel Performance specsExceed by 20%Exceed by 5% Delivery time12 months6 months Price700k700k Delivery termsInstalled, 1 yearInstalled, service contract Which do you prefer? Which one would you buy?

17 MSBM -11-98 - 17 Data for Conjoint Analysis: Full-Profile Ratings or Rankings ProductPerf_spec Del_time Price Del_terms Example bundle Preference number score 1Exceed_20% 6_months $600k Inst_2yr 100 2Exceed_20% 9_months $700k Inst_ser 80 3Exceed_20% 12_months $800k FOB_ser 40 4 Exceed_20% 15_months $900k Inst_1yr 20 5 Exceed_5% 6_months $700k Inst_1yr 70 6 Exceed_5% 9_months $600k FOB_ser 75 7Exceed_5% 12_months $900k Inst_ser 65 8Exceed_5% 15_months $800k Inst_2yr 70 9Meet_specs 6_months $700k Inst_ser 50 10Meet_specs 9_months $900k Inst_2yr 20 11Meet_specs 12_months $600k Inst_1yr 40 12Meet_specs 15_months $700k FOB_ser 30 13Short_5% 6_months $900k FOB_ser 5 14Short_5% 9_months $800k Inst_1yr 10 15Short_5% 12_months $700k Inst_2yr 10 16Short_5% 15_months $600k Inst_ser 0

18 MSBM -11-98 - 18 Example Part Worth for Attributes

19 MSBM -11-98 - 19 Example Part Worths for Attribute Options

20 MSBM -11-98 - 20 U(P) =  a ij x ij k i=1 m j=1 P:A particular product/concept of interest U(P):The utility associated with product P a ij :Utility associated with the jth level (j = 1, 2, 3...k j ) on the ith attribute k j :Number of levels of attribute i m:Number of attributes x ij :1 if the jth level of the ith attribute is present in product P, 0 otherwise Conjoint Utility Computations j

21 MSBM -11-98 - 21 G The relevant market consists of products P 1, P 2,...P N. Some of theses may be existing products and, others concepts being evaluated. G (Assume) Each consumer will prefer to buy the product with the highest utility among those available Then forecasted market share for products P i is given by: Where K is the number of consumers who participated in the study Market Share Forecasts

22 MSBM -11-98 - 22 G Market consists of three products and three customers Product Market Share Computation (Air Pollution Control Equipment) Waste watchThermatrixWahlco Performance specs Exceed 5% Exceed 20%Meet Specs Delivery time 9 months 9 months6 months Price $800k $900k$600k Delivery terms FOB_ser Inst_1YrInst_ser

23 MSBM -11-98 - 23 Market Share Computation: (Air Pollution Control Equipment) Sunoco Mattel ICI Base 0 0 0 Meet specs 5 10 10 Exceed 5% 35 0 40 Exceed 20% 40 0 50 12 months 20 5 3 9 months 30 20 8 6 months 40 10 10 $800k 5 20 2 $700K 8 35 5 $600K 10 50 10 Inst_ser 6 5 10 Inst_1Yr 8 10 20 Inst_2Yr 10 20 30 Customer’s Utility

24 MSBM -11-98 - 24 Computed Utility for Products Market Share Computation: (Air Pollution Control Equipment) Waste Watch ThermatrixWahlco Sunoco 70 78 61 Mattel 40 30 75 ICI 50 78 40 G Maximum Utility Rule: If we assume customers will only buy the product with the highest utility, the market share for Thermatrix is 2/3 and 1/3 for Wahlco. G Share of preference rule: If we assume that each customer will buy each product in proportion to its utility relative to the other products, then market shares for the three products are: Waste Watch: 30.3% Thermatrix: 34.8 Wahlco: 34.9

25 MSBM -11-98 - 25 Segmenting Markets Based on Conjoint Part Worths Part-worth means for each option in each cluster: OptionOverallCL1CL2 ------------------------------------------ Exceed_20% 17.9 4.0027.9 Exceed_5% 17.5 4.0827.2 Meet_specs13.914.813.3 Short_5% 3.42 5.54 1.89 6_months11.1 6.3814.4 9_months17.412.920.7 12_months18.510.224.4 15_months 5.39 1.92 7.89 60023.035.813.7 70016.526.2 9.50 800 6.3510.0 3.72 900 1.48 2.77 5.56 Inst_2yr16.826.210.1 Inst_1yr15.020.511.0 Inst_serv 6.06 5.15 6.72 FOB 2.65 1.08 3.78 Cluster Proportion.419.581

26 MSBM -11-98 - 26 Members in Each Segment G Segment 1 u Cummins, Illinois-Tool, Mattell, Nes_Resn, Ralston Purina, New_W-Tech, Baltimore Gas, Applied Coatings, Pharmasyn, Th_Electric, Ag_Power, Vencor, El_chem. G Segment 2 u ICI, Deere, Intel, Mobil, Maytag, Air Products, Sunoco, HP, Conagra, Kimberly Clark, Hershey, Texaco, Union Carbide, Westinghouse Electric, Dow Chemical, Boise Cascade, Kodak, El_Chem, 3M

27 MSBM -11-98 - 27 Situations Where Conjoint Analysis Might Be Valuable G The new concept involves important tradeoffs affecting design, production, marketing, or other operational variables. G Product/service is realistically decomposable into a set of basic attributes. G Product/service choice tends to be high involvement. G Factorial combinations of basic attribute levels are believable. G Desirable new-product alternatives can be synthesized from basic alternatives. G Product/service alternatives can be realistically described, either verbally or pictorially. (Otherwise, actual product formulations should be considered). G Perceptions of hypothetical combinations are reasonably homogeneous across members of the target group.


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