Abstract
In response to the problem that weights in product planning and design are difficult to accurately reflect the real needs of users, a design method for hexagonal shaft straightening machines based on quality function configuration and evidence theory is proposed. First, based on the method of quality function deployment and evidence theory, the demand indicator and its importance are determined by market research and the Kano model. Second, to solve the conflict problem in the process of expert opinion aggregation, combined with evidence theory, taking expert knowledge as evidence, the possible value space of causal strength among nodes constitutes the recognition framework, which is used to synthesize the knowledge of multiple experts. The indicator correlation degree is reflected by using a correlation weight matrix, and effective solutions to the relevant theoretical problems and algorithms, such as those for competitive indicator evaluation, weight calculation and planning target value cases, are proposed. Finally, according to the analysis results for the various structural elements of the house of quality, a hexagonal shaft straightening machine function for master planning house of quality was constructed, and propose a design and build the main experimental platform. The relevant test results show that the technical specifications of the hexagonal shaft straightening machine basically meet the requirements of the overall planning target values, verifying the effectiveness and feasibility of the proposed method.
Highlights
With the increasing market competition and the changing needs of users, the design of products is facing new challenges, and enterprises pay increasing attention to meeting the diversified and personalized needs of users
Efe et al [5] used the quality function deployment method based on intuitionistic fuzzy number to evaluate the correlation degree among customer requirements, design requirements and between customer requirements and design requirements, and applied the method to the failure mode analysis process related to occupational accidents in shipbuilding industry, calculated the weight of occurrence, severity and detection between occupational accidents and failure modes
Haber et al [4] proposed that the quality function deployment for product service systems (QFD for PSSs) method was augmented by means of the Kano model to filter the needs of customers and transform the attractive needs into receiver state parameters (RSPs), as the cornerstone of Quality function deployment (QFD) for PSS
Summary
With the increasing market competition and the changing needs of users, the design of products is facing new challenges, and enterprises pay increasing attention to meeting the diversified and personalized needs of users. Dionicio et al [7] proposed an integrated model of fuzzy Kano, analytic hierarchy process (AHP), decision-making trial, and evaluation laboratory (Dematel) and QFD, which transformed customer requirements into product characteristics and systematically determined the priority by considering the interdependence and fuzziness between design schemes to realize intelligent product design. The above methods can avoid the influence of the subjective ratings of experts in the decisionmaking process to a certain extent, there are inconsistencies in the quantitative scales of importance and relevance ratings, and the correlation matrix cannot directly reflect the evaluation results of opinions of experts among different technical indicators It is difficult for the above methods to make use of the competition and complementarity of the knowledge or experience of different experts, which leads to the lack of reinforcement of common factors, which makes it difficult for the synthetic results to reflect the objective reality and may even produce errors. How to synthesize the knowledge of multiple experts is worthy of further study
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