Developing new products is an essential strategy tool in achieving a company's comparative advantages and its sustainable development. The problems that may occur during this process may lead to inefficiency and failure in the market, and thus also to poorer organizational performance. Accordingly, recognizing and analyzing NPD problems in a proper way is of exceptional importance for sustaining a company's growth and increasing its profitability. The paper proposes a Multi-Criteria Decision-Making (MCDM) methodology for recognizing and prioritizing the problems that may occur during the process of a New Product Development (NPD). The proposed approach is based on the Analytic Hierarchy Process (AHP) methodology, which enables the assessment of an impact of these problems on the success of the NPD; the AHP method is also integrated with the fuzzy set theory, which is aimed at avoiding the problem of uncertainties and ambiguities. The possibilities of the application of proposed methodology are illustrated in the case of a company manufacturing corrugated paper and special cardboard packaging.
The paper highlights the importance of strengthening the country's innovative potential due to it's economic prosperity. Also the paper points out to the importance of application an appropriate metrics for assessing the effectiveness of the national innovation systems and innovation policies. In addition, the Serbia`s innovation profile was presented, through the analysis of innovation potential indicators as the factors that affect how new products, services and processes are generated, developed and implemented. Based on this analysis, proposals have been put forward for strengthening the innovation potential of Serbia and creating conditions in which organizations across the country can successfully innovate.
Selection of adequate power transformers is among the most important factors for ensuring well-operated and optimized power generation and distribution systems, which imposes the need for applying optimization methods in order to obtain comprehensive evaluation process. In the paper, a multi-criteria group decision-making supportive model for the power transformer evaluation is proposed; the model is based on integration of the Analytic Hierarchy Process (AHP) and the compromise ranking method with fuzzy Set Theory. The AHP method was utilized in order to estimate the criteria relative weights, whereas the compromise ranking method was used for alternative assessment and compromise ranking. Integration of the fuzzy logic within the proposed model allows dealing with problem of the ambiguities of human perceptions and provides more rational results. A numerical example illustrates the proposed methodology on the real MCDM problem of power transformers selection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.