TITLE:
Evaluation of Lean Product Development Stages of Autonomous Vehicle Technologies with AHP Method
AUTHORS:
Fuat Ali Paker
KEYWORDS:
Analytical Hierarchy Process, Lean Product Development, Automotive Design Process, Automotive Industry, Decision Making Methods
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.12 No.4,
September
30,
2022
ABSTRACT: The potential innovation and emerging workforce
created by autonomous vehicle technologies, which have just entered the lean
product development disciplines, play an important role in the development or
change of the automotive manufacturing industry. Therefore, the intensity of
work and the innovation practices brought by the technologies in question at
each step of very different and interdisciplinary studies deeply affect the new
and lean product development steps. Comparatively measuring the operating
weight of new autonomous vehicle technologies in different company structures
in these lean product development
steps has important consequences for the development and change of the automotive industry under heavy global competition. On the other hand, it is difficult to
measure the innovation input or the use of new autonomous technology under the
AHP mathematical model of each part that constitutes the whole of the lean
product development process, but it also creates the future predictions of the
sector. The Analytical Hierarchy Process (AHP), which is one of the
multi-purpose decision-making methods, was used to determine the most intense
value creation, the design and development phase where there is innovation
input, or the lean product development discipline throughout the whole process.
The AHP method was preferred for the comparative analysis and synthesis of
different applications or similar approaches in the automotive manufacturing
industry companies (global and local) and lean product development processes in
the field study of the research, under qualitative data. Under the AHP
mathematical model created in the research, it was aimed to measure
interdisciplinary clusters with a focus on new technology and to identify
similarities or differences under alternative applications created by different
company structures and to compare them systematically and evaluate them
mathematically. In the study, the AHP mathematical model was used to compare
lean product development processes and the use of new autonomous vehicle
technologies, and the Expert Choice program was preferred in the application of
the method.