Inderscience Publishers

Product development for successive generations: creating decision support graphic information utilising a generalised cost performance curve

0

This study adopts the modelling approach described by Kusaka and co-authors in previous papers. It aims at specifying two fundamental approaches for product development (PD) in order to gain long-range and short-range competitive advantages and to create decision support information. The long-range approach introduces product functions and technologies over successive generations of products, as and when they become appropriate; the short-range approach enables the latest information, based on present market needs and current technological advances, to be flexibly and quickly introduced into PD decision-making. Thus, the study builds a PD model that optimally selects product functions and technologies for successive generations. The system builds on previous research by introducing a time factor. A graphic information tool, which we call a generalised cost performance curve, enables decision-makers to see changing PD patterns for successive generations. It also clarifies product evolutionary patterns and their characteristics under planned roadmaps.

Keywords: product development, PD, modular type, successive generations, roadmap, R&D management, technology management, tacit knowledge, AHP, generalised cost performance curve, GCPC, modelling approach, 0–1 integer programming, optimal decision, graphic information, scenario analyses

Customer comments

No comments were found for Product development for successive generations: creating decision support graphic information utilising a generalised cost performance curve. Be the first to comment!