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Strategic Decision Making in the Aut...

Hanawalt, Edward S.

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Strategic Decision Making in the Automobile Industry Industrializing the Future: What to Produce, Where to Produce It, and How to Innovate.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Strategic Decision Making in the Automobile Industry Industrializing the Future: What to Produce, Where to Produce It, and How to Innovate./
作者:	Hanawalt, Edward S.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	264 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:	Dissertations Abstracts International82-08B.
標題:	Systems science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28157335
ISBN:	9798569980383

Strategic Decision Making in the Automobile Industry Industrializing the Future: What to Produce, Where to Produce It, and How to Innovate.
Hanawalt, Edward S.

Strategic Decision Making in the Automobile Industry Industrializing the Future: What to Produce, Where to Produce It, and How to Innovate. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 264 p.

Source: Dissertations Abstracts International, Volume: 82-08, Section: B.

Thesis (Ph.D.)--Stevens Institute of Technology, 2020.

This item must not be sold to any third party vendors.

Executing successful products, industrializing production, and fairly measuring the opportunity is addressed through this research. The body of work investigated insertion of innovative products through qualitative analysis of product successes and failures, derivation of ideal manufacturing allocations, evaluation of survey data, and uncertainly modeling to drive portfolio options. Through twenty case studies of automotive product successes and failures over the past 50 years, we demonstrate Development Process and Target Segment are the largest factors driving product success or failure. A product development system with a development process, addressing target segment based on economic outlook, and fully supported by leadership forms the foundation of a successful product development system. The research contributes unique contributions in both theoretical and empirical domain, including application of ''best of the best'' (BOB) and ''worst of the worst'' (WOW) methodology. Adopting new technologies or adapting to a paradigm shift, requires a significant willingness to part with older proven methods and not surprisingly highly successful vehicles are often born from financial and corporate duress. To derive ideal manufacturing allocations, we constructed an allocation tool trading off competing attributes to deliver a country ranking scale of manufacturing location attractiveness. The research employed Delphi methods to the derivation of attributes. China, India, and Mexico, holding the highest utility scores throughout sensitivity analysis on the attributes. Companies seek product innovation. However, through our survey, we determined most industrial companies do not have an innovation portfolio. We infer broader leadership support and proper metrics for innovative projects are necessary to understand how innovation is injected into the product development process in organizations. We propose adding Net Option Value (NOV) as a financial metric to the portfolio decision process. Traditional Net Present Value (NPV) analysis augmented with an NOV calculation captures volatility and upside potential. Volatility is measured using historical sales performance of automotive customer market segments in lieu of tradeable securities. Multiple financial metrics support insertion of innovative programs by balancing the negative impact of NPV calculations. The development of methods for planning a portfolio of industrial products can drive cultural change in innovative product evaluation.

ISBN: 9798569980383Subjects--Topical Terms:

3168411
Systems science.
Subjects--Index Terms:

Manufacturing allocation

Strategic Decision Making in the Automobile Industry Industrializing the Future: What to Produce, Where to Produce It, and How to Innovate.
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