9783835004993 - The Automotive Development Process: A Real Options Analysis di Sörensen, Daniel (14 risultati)

Paperback. Condizione: New.

Condizione: New. In.

Condizione: New. pp. 248.

Condizione: New. Num Pages: 219 pages, 11 black & white tables, biography. BIC Classification: KFF; KJ. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 0. Weight in Grams: 324. . 2006. Paperback. . . . .

Paperback. Condizione: Brand New. 2006 edition. 246 pages. 8.20x5.80x0.55 inches. In Stock.

Condizione: New. Num Pages: 219 pages, 11 black & white tables, biography. BIC Classification: KFF; KJ. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 0. Weight in Grams: 324. . 2006. Paperback. . . . . Books ship from the US and Ireland.

Broschiert Broschiert. Condizione: Sehr gut. 1. Aufl. XXVII, 219 S. Gabler Edition Wissenschaft. Zust: Gutes Exemplar. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 320.

Taschenbuch. Condizione: Neu. The Automotive Development Process | A Real Options Analysis | Daniel Sörensen | Taschenbuch | xxvii | Englisch | 2006 | Deutscher Universitätsverlag | EAN 9783835004993 | Verantwortliche Person für die EU: Deutscher Universitätsverlag in Springer Science + Business, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The global automotive industry is currently undergoing significant changes and the companies are not only faced with opportunities, but also with new risks. Traditional automotive industry giants are fighting to maintain their market share and their profitability, and at the same time Asian automotive companies are increasing their share of the market and their profitability at high rates. Motivated by the situation in practice and by the Toyota development process, Daniel Sörensen examines the question of how much to invest in pursuing more than one design alternative in parallel within the product development process. He develops a real options model capable of modeling and valuing in monetary terms the effects of interproject correlation coefficients and volatilities in order to compute the optimal number of design alternatives to develop in parallel. Based upon economic theory, he presents five principles in order to value-maximize the product development process. 248 pp. Englisch.

Condizione: New. Print on Demand pp. 248.

Condizione: New. PRINT ON DEMAND pp. 248.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Daniel Soerensen promovierte bei Prof. Dr. Henry Schaefer am Lehrstuhl fuer Allgemeine Betriebswirtschaftslehre und Finanzwirtschaft an der Universitaet Stuttgart. Er ist als Habilitant bei Prof. Dr. Henry Schaefer in Stuttgart taetig. Motivated b.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The global automotive industry is currently undergoing significant changes and the companies are not only faced with opportunities, but also with new risks. Traditional automotive industry giants are fighting to maintain their market share and their profitability, and at the same time Asian automotive companies are increasing their share of the market and their profitability at high rates.Motivated by the situation in practice and by the Toyota development process, Daniel Sörensen examines the question of how much to invest in pursuing more than one design alternative in parallel within the product development process. He develops a real options model capable of modeling and valuing in monetary terms the effects of interproject correlation coefficients and volatilities in order to compute the optimal number of design alternatives to develop in parallel. Based upon economic theory, he presents five principles in order to value-maximize the product development process.Deutscher Universitätsvlg, Abraham-Lincoln-Str. 46, 65189 Wiesbaden 248 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - global automotive industry currently undergoing substantial changes the way firms compete. Driving forces behind these changes globalized markets, technologies, more demanding customers. structures are evolving within the automotive companies, there increased evidence of the importance of we- functioning networks order to gain a competitive advantage. The benchmarks for the automotive companies the demands for higher product quality, more efficiency bringing products to markets, a reduction of time to market. above changes present the starting point for the research by Daniel which deals with the product development process, particular within the automobile industry. It a subject, which to now hasn't been satisfactorily treated. Daniel sets out to explain value the engineering product development paradigms of point- set-based concurrent engineering from a holistic viewpoint. First of all, identifies select capabilities based empirical studies of best practice current automotive product development, particular at Toyota Motor Corporation. This a pronounced understanding of why different product engineering systems able to yield a competitive advantage the market. Second of all, applies a real option valuation model to these capabilities within a financial economics framework order to quantify from the viewpoint of shareholders the value of poi- concurrent engineering respectively. In this way, automotive firms are given a powerful tool, which enables them to identify the optimal amount of innovation to build into the product development process. Finally, Daniel establishes five clear principles of product development, which give significant direction for automotive executives designing controlling the product development process optimally uncertain dynamic environment.