Abstract

The function of decision-making in the management of new product development and vehicle design activities is achieved by defining, constructing or evaluating the outcome-oriented, and most effective steps from the sub-steps that form this basic process. The choice of the sub-stages of the basic process or the decision of how to do a job gains importance in terms of the efficiency of the firm’s activities. Therefore, the decision making function is one of the basic elements involved in the formation and development of the basic processes that can comply with the market dynamics of firms. With the new product being developed, the selection, the current editing or the evaluation of the steps that make up the vehicle design activities for the automotive industry companies that exist and compete in the market, bring about significant gains. In the manufacturing industry, the design of the vehicle determines the market spread, while the competitive conditions are driven by the new or improved product decision. In both cases, the automotive industry firms must know the stages of the most appropriate vehicle design in their own right, and the steps of forming new project dynamics must be devised in this direction. In this study, the result oriented activity of the current vehicle design phases used in the automotive industry companies is determined and the order of importance of the stages is listed. For this purpose, under the same conditions of competition (the same market, the same class vehicles develops and manufactures), 4 in the automotive firm administration, a total of 40 employees (4 × 10 process manager) with the vehicle design was evaluated by determining the effectiveness of the use of the stage. At this stage, analytic hierarchy methods applied to each of the phases are explored in practice instead of the use of the significance level automotive company. Study of the vehicle design phase of the automotive industry: structure, process modifications or new project reveals the important values to be configured according to the size.

Highlights

  • Repeated transactions are increasing the managerial responsibilities of managers in the upper echelons day by day under the processes of firms’ development, competition or uncertain and variable environmental conditions

  • The basis of the Analytical Hierarchy Process (AHP) calculation method is based on the determination of the ratio of the eigenvectors created by the binary comparison matrices to each other

  • The effect of the design activities on the final product, which is composed of 11 sub-stages, which are under the basic steps, has been analysed in the automotive industry companies within the scope of application, concept development phase, concept testing phase and concept formation phase (Table 14)

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Summary

Introduction

Repeated transactions are increasing the managerial responsibilities of managers in the upper echelons day by day under the processes of firms’ development, competition or uncertain and variable environmental conditions. The fact that automotive industry companies can make correct and quick decisions and convert them into applications under defined processes provides important contributions to competition power [4] [5]. Under this approach, companies using up-to-date decision support methods can effectively use functional business processes under time factor. Automotive firms continue to struggle for existence with vehicle design and production, in a severe competition environment with new product These companies, which provide development and propagation in the market with new vehicle design, provide important gains under the current editing of the stages [11] [12] [13]. Each sub-stage of product development process, current vehicle design stages and final new product, which are important in automotive industry companies, are evaluated by Analytical Hierarchy Method (AHP)

AHP Calculation Method
Method of Determining Vehicle Design Stages
The Implementation of Findings
Design Creation
Design Evolution Phase
Findings
Conclusion and Recommendations
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