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Purposes of the Full Screen To decide whether technical resources should be devoted to the project..  Feasibility of technical accomplishment -- can we do it?.  Feasibility of commerc

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CHAPTER 10

THE FULL SCREEN

McGraw-Hill/Irwin Copyright ©2006 The McGraw-Hill Companies, Inc All right reserved

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The Full Screen

A step often seen as a necessary evil, yet very powerful and

with long-lasting effects.

Forces pre-technical evaluation, and summarizes what must

be done.

Methods range from simple checklists to complex

mathematical models.

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Purposes of the Full Screen

To decide whether technical resources should be devoted to the project.

 Feasibility of technical accomplishment can we do it?

 Feasibility of commercial accomplishment do we want to do it?

To help manage the process.

 Recycle and rework concepts

 Rank order good concepts

 Track appraisals of failed concepts

To encourage cross-functional communication.

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Screening Alternatives

Judgment/Managerial Opinion

Concept Test followed by Sales Forecast

(if only issue is whether consumers will like it)

Scoring Models

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A Simple Scoring Model

Values

Degree of Fun

Number of People

Affordability

Capability

Much Over 5 Easily Very

Some

4 to 5 Probably Good

Little

2 to 3 Maybe Some

None Under 2 No Little

Answer: Go boating.

Figure 10.2

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Source of Scoring Factor Models

Figure 10.3

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A Scoring Model for Full Screen

Note: this model only shows a few sample screening factors.

Factor Score (1-5) Weight Weighted Score

Technical Accomplishment:

Technical task difficulty

Research skills required

Rate of technological change

Design superiority assurance

Manufacturing equipment

Commercial Accomplishment:

Market volatility

Probable market share

Sales force requirements

Competition to be faced

Degree of unmet need

Figure 10.4

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The Scorers

Scoring Team:

Major Functions (marketing, technical, operations, finance) New Products Managers

Staff Specialists (IT, distribution, procurement, PR, HR)

Problems with Scorers:

May be always optimistic/pessimistic

May be "moody" (alternately optimistic and pessimistic) May always score neutral

May be less reliable or accurate

May be easily swayed by the group

May be erratic

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IRI (Industrial Research institute) Scoring Model

Technical success factors:

Proprietary Position

Competencies/Skills

Technical Complexity

Access to and Effective

Use of External

Technology

Manufacturing Capability

Commercial success factors:

Customer/Market Need

Market/Brand Recognition

Channels to Market

Customer Strength

Raw Materials/Components Supply

Safety, Health and Environmental Risks

Source: John Davis, Alan Fusfield, Eric Scriven, and Gary Tritle, “Determining a Project’s Probability of Success,” Research-Technology Management,

May-June 2001, pp 51-57.

Figure 10.5

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Alternatives to the Full Screen

Profile Sheet

Empirical Model

Expert Systems

Analytic Hierarchy Process

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A Profile Sheet

Figure 10.6

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Criteria Based on the NewProd Studies

Must-Meet Criteria (rated yes/no):

 Strategic alignment

 Existence of market need

 Likelihood of technical feasibility

 Product advantage

 Environmental health and safety policies

 Return versus risk

 Show stoppers (“killer” variables)

Figure 10.7

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Criteria Based on the NewProd Studies

(continued)

Should-Meet Criteria (rated on scales):

 Strategic (alignment and importance)

 Product advantage (unique benefits, meets

customer needs, provides value for money)

 Market attractiveness (size, growth rate)

 Synergies (marketing, distribution, technical,

manufacturing expertise)

 Technical feasibility (complexity, uncertainty)

 Risk vs return (NPV, IRR, ROI, payback)

Figure 10.7 (cont’d.)

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Products 1, 2, 3, and 4

Goal: Select Best NPD Project

Market Fit Tech Fit Dollar Risk Uncertainty

Prod uct Li ne Channel Logistic s Tim ing

P ric e

S al es Force

Desi gn Mat erials

S uppl y

Mf g Tec h.

Mf g Tim ing Diff erential

A dv antage

P ay of fs Los ses

Unmit igated

Mi tigat ed

P roduc t Line

Products 1, 2, 3, and 4

Goal: Select Best NPD Project

Prod uct Li ne Channel Logistics Tim ing

P ric e

S al es Force

Desi gn Mat erials

S uppl y

Mf g Tec h.

Mf g Tim ing Diff erential

A dv antage

P ay of fs Los ses

Unmit igated

Mi tigat ed

P roduc t Line

Analytic Hierarchy Process (AHP)

Figure 10.9

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Ranking of Alternatives:

Abbreviated Output from AHP

Figure 10.9

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