Fuzzy Model for the Priorization Analysis of Variable Quality Performance: An Approach in Shipbuilding

IF 1.3 Q2 MATHEMATICS, APPLIED Fuzzy Information and Engineering Pub Date : 2020-04-02 DOI:10.1080/16168658.2020.1792610
Priscila de Jesus Freitas Pinto, C. H. dos Santos Grecco, Carlos Alberto Nunes Cosenza
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引用次数: 4

Abstract

The shipbuilding industry has evolved in recent years. Some quantitative and qualitative factors influence competitiveness of shipyards. The development of shipbuilding processes depends on evolution of manufacturing techniques, planning, organization and external environment. In general, regarding performance, quantitative variables are analyzed through mathematical and linear models. However, the qualitative variables, due to its subjectivity because it deals with human perceptions, it is not common for organizations to work on the performance of these factors. Then, this is the objective of the research, to analyze qualitative factors in shipbuilding in context with the Brazilian industry. The chosen that compose the proposed model are technology and industrial location. This research presents a prioritizing evaluation model of qualitative performance variables. So, presents as original the treatment by the fuzzy sets of qualitative critical factors expressed in linguistic terms by specialists working in the Brazilian sector, resulting in the prioritization of these factors. After result, the model was applied at specific shipyard. The results converge Brazil's real scenario and show that the proposed fuzzy model might be a good qualitative performance factor evaluation tool. Finally, to identify real the distance of a specific shipyard for to this research's model prioritization pattern by brazilian specialists.
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船舶制造中可变质量性能优先级分析的模糊模型
造船业近年来有了发展。一些定量和定性的因素影响着造船厂的竞争力。造船工艺的发展取决于制造技术、计划、组织和外部环境的演变。一般来说,对于绩效,通过数学模型和线性模型来分析定量变量。然而,定性变量,由于它的主观性,因为它处理人类的感知,它是不常见的组织工作在这些因素的性能。然后,这是研究的目的,在巴西工业背景下分析造船业的定性因素。所选择的构成所提出的模型是技术和工业区位。本文提出了一种定性绩效变量的优先级评价模型。因此,在巴西部门工作的专家以语言术语表达的定性关键因素的模糊集作为原始处理,导致这些因素的优先级。最后,将该模型应用于具体船厂。结果与巴西的实际情况趋于一致,表明所提出的模糊模型是一种很好的定性绩效因子评价工具。最后,为了确定巴西专家对本研究模型优先顺序模式的具体造船厂的实际距离。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
40 weeks
期刊介绍: Fuzzy Information and Engineering—An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. While also accepting fundamental work, the journal focuses on applications. Research papers, short communications, and reviews are welcome. Technical topics within the scope include: (1) Fuzzy Information a. Fuzzy information theory and information systems b. Fuzzy clustering and classification c. Fuzzy information processing d. Hardware and software co-design e. Fuzzy computer f. Fuzzy database and data mining g. Fuzzy image processing and pattern recognition h. Fuzzy information granulation i. Knowledge acquisition and representation in fuzzy information (2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy programming and optimal f. Fuzzy probability and statistic g. Fuzzy logic and algebra h. General systems i. Fuzzy socioeconomic system j. Fuzzy decision support system k. Fuzzy expert system (3) Soft Computing a. Soft computing theory and foundation b. Nerve cell algorithms c. Genetic algorithms d. Fuzzy approximation algorithms e. Computing with words and Quantum computation (4) Fuzzy Engineering a. Fuzzy control b. Fuzzy system engineering c. Fuzzy knowledge engineering d. Fuzzy management engineering e. Fuzzy design f. Fuzzy industrial engineering g. Fuzzy system modeling (5) Fuzzy Operations Research [...] (6) Artificial Intelligence [...] (7) Others [...]
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