Decision support for technology transfer using fuzzy quality function deployment and a fuzzy inference system

Sarfaraz, Amir Homayoun; Yazdi, Amir Karbassi; Hanne, Thomas; Hosseini, Raheleh Sadat

doi:10.3233/jifs-222232

Cited by 3 publications

(1 citation statement)

References 46 publications

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“…Thus, in work [3] it is indicated that the viability of technologies depends on innovativeness, cost, compatibility, safety, and environmental suitability. Effective support and management, including regular updates, is key.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Makedon,

Myachin,

Plakhotnik

et al. 2024

EEJET

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The object of research is technology transfer, which covers the mechanism of transfer of technological knowledge and innovations from developers to end users or manufacturers. The problem to be solved is to provide a relevant assessment of the effectiveness of technology transfer by applying modern economic and mathematical models (based on the method of fuzzy logic) to assess the effectiveness of technology transfer under conditions of uncertainty. The main results obtained: a fuzzy-logical model for evaluating the level of the technology transfer efficiency indicator was built; it is performed according to the following algorithm: 1) the involvement of three components of technology transfer – technological, financial, and marketing as input variables of the model, which are calculated on the basis of statistical and financial reporting data, expert surveys; 2) selection of parameters and type of membership function for three input variables and one output variable (integral indicator) and construction of a system of 27 logical rules; 3) determining the efficiency of technology transfer using Mamdani's fuzzy derivation and checking the adequacy of the model. A visualization of the "input-output" surface was performed, which determines the maximum value of the TTPE (TechnologyTransferProjectsEfficiency) indicator, which serves as a summary indicator for the success of technology transfer projects and is observed at high levels of model input variables. The indicator T (technical component of technology transfer efficiency), F (financial component of technology transfer efficiency), and M (marketing component of technology transfer efficiency) was introduced. The scientific results could be applied to determine the optimal ways of technology transfer to industry, to plan strategies for introducing new technological products to the market, taking into account the effectiveness of licensing, partnership, and cooperation processes

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Makedon,

Myachin,

Plakhotnik

et al. 2024

EEJET

View full text Add to dashboard Cite

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Design for Six Sigma in the Product Development Process Under a Sustainability Point of View: A Real-Life Case Study

Arcidiacono,

Risaliti,

Del Pero

2024

Sustainability

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The modern economic landscape, now more competitive than ever, compels companies to create increasingly innovative, cutting-edge, and cost-effective products. In this regard, the design and development phases play a crucial role, as they closely determine the final satisfaction of the customers. It follows from this the need for a structured approach to product development, which allows companies to identify product key characteristics, also useful when there is the need for carrying out the redesign of an existing product. This work provides the application of the Design For Six Sigma (DFSS) methodology to a real redesign case study, based on the improvement in a specific mountain bike model (baseline product). The final target is identifying the main criticalities and intervention areas for the bicycle, to provide valuable suggestions to designers and developers for creating a new product alternative characterised by an extended horizon to various markets. DFSS is applied to identify and optimise Critical-To-Quality (CTQ) features, aiming at making the project as responsive as possible to customers’ needs. More specifically, two main tasks are addressed. The first one is the application of the identify phase of the IDOV approach (Identify, Design, Optimise, Validate) to identify the most pertinent Voice of the Customers (VOCs) to be implemented in the product. The second main task is the analysis of the integrated product development process carried out through the Six Sigma (SS) methodology, to transform the VOCs into CTQs via the Quality Function Deployment 1 (QFD1) and to prioritise the CTQ to achieve design excellence. The identified improvement strategies are presented and critically discussed in relation to their potential to reduce the environmental impact of the overall Life Cycle (LC) of the product.

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A new hybrid MCDM approach for mitigating risks of hazardous material road transportation

Hsu,

Yang,

Chang

et al. 2024

MBE

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<abstract> <p>Given the ongoing development of the global economy, the demand for hazardous materials, which serve as essential components for numerous industrial products, is steadily increasing. Consequently, it becomes imperative to devise a methodology for mitigating the risks associated with the road transportation of hazardous materials. The objective of this study is to establish an integrated quality function deployment and multicriteria decision-making (QFD-MCDM) framework and identify the pivotal factors that propel Industry 5.0 (I5.0), thus fortifying supply chain resilience (SCR) and ameliorating the hazardous material transportation risks (HMTR). These measures encompass various strategic areas, including "establish a safe and inclusive work environment", "customized products and services", "enhance production flexibility and strengthen control redundancy", and "real-time data collection and analysis". By adopting these measures, enterprises can lead to sustainable and stable business operations. The findings of this study demonstrate the synergistic potential of integrating I5.0 and SCR in effectively mitigating HMTR. Additionally, these findings offer valuable insights and practical implications for enterprises across diverse industries.</p> </abstract>

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Decision support for technology transfer using fuzzy quality function deployment and a fuzzy inference system

Cited by 3 publications

References 46 publications

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Design for Six Sigma in the Product Development Process Under a Sustainability Point of View: A Real-Life Case Study

A new hybrid MCDM approach for mitigating risks of hazardous material road transportation

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