Fuzzy nonlinear programming approach to the evaluation of manufacturing processes

Lu, Tim; Liu, Shiang-Tai

doi:10.1016/j.engappai.2018.04.003

Cited by 18 publications

(17 citation statements)

References 32 publications

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“…The methodology of this work comprised the following steps: For step (1), a literature review was conducted related to WSC management. For step (2), the definition of UWC found in the literature was taken and the Fuzzy Non-Linear Programming (FNLP) was used [12,[15][16][17][18][19][20][21][22][23][24].…”

Section: Methodsmentioning

confidence: 99%

Fuzzy Modeling of Urban Water Supply Crisis

Silva¹,

Souza²

2022

Fuzzy Systems - Theory and Applications

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The chaotic growth of cities results in numerous problems related to public health and urban environment. One of these problems is the urban water supply system crisis. This research aims to develop a mathematical model for urban water supply crises (UWC) able to deal with the ambiguity of the real available data. The applied methodology comprises the following steps: (i) identifying the influencing factors in UWC; (ii) proposing a conceptual model for the description of UWC; (iii) collecting and simulating the necessary and available data; (iv) optimizing the conceptual model parameters; and (v) verifying the proposed model performance. The results indicate that there are many influencing factors in UWC. The model developed comprises two parts or two sub-models. The first sub-model explains water consumption, and the second sub-model explains water availability. In the first sub-model, the functions are related to the factors that influence water consumption. In the second sub-model, the functions are related to the factors that influence the availability of water. This research also aims to analyze the possibility of applying Fuzzy Logic to deal with the ambiguity of real data. It was concluded that, with the proposed model, the UWC was modeled appropriately. The model proposed can help to predict the impact of actions such as reducing losses, reducing pressure on the water supply network and intermittent supply on the intensity of water crisis cases in cities.

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Section: Methodsmentioning

confidence: 99%

Fuzzy Modeling of Urban Water Supply Crisis

Silva¹,

Souza²

2022

Fuzzy Systems - Theory and Applications

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“…The latter one's purpose was to adjust the production rate in order to eliminate blockages and increase the utilization of machines. More specifically, authors in Lu and Liu (2018) tried to address the issue of keeping the quality of a manufactured product within acceptable bounds based on Taguchi methods. For this, they developed a fuzzy nonlinear programming model based on a fuzzy signal-to-noise ratio.…”

Section: Use Of Fuzzy Systems In the Context Of Industry 40mentioning

confidence: 99%

Computational Intelligence in the Context of Industry 4.0

Hosŏvský

Piteľ

Trojanová

et al. 2021

Implementing Industry 4.0 in SMEs

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Industry 4.0 is affecting almost every area of the industry, and as a result of its effects, systems, technologies, and the way information is processed are being transformed. Its typical feature is transmission of information in the system environment provided by the Internet of Things. All information should be stored and shared through cloud computing. As a result, access to information should be unrestricted. This chapter is focused on Computational Intelligence (CI) in the context of Industry 4.0. Each subchapter provides fundamentals of some paradigms, followed by the use of CI in the concrete paradigm. The ending part of the chapter is focused on connecting theory and practice in a case study, which lists industrial parts recognition by convolutional neural networks for assisted assembly.

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“…These methods are based on outranking, utility theory, mathematical programming, or some other principle. This section reviews methods applied for the ranking of manufacturing processes: fuzzy non-linear programming task (Lu & Liu, 2018;Wu & Liao, 2014), the metaheuristic problem (Nestic et al, 2015), and multicriteria decision-making approach (Augusto et al, 2008;Zaman et al, 2018).…”

Section: The Ranking Of Manufacturing Processes Under Uncertaintiesmentioning

confidence: 99%

“…In compliance with the stated, new decision rules for testing of performances processes, based on the constructed fuzzy index of capability processes, are developed. The ranking of the manufacturing processes may be built on the fuzzy signal‐to‐noise (S/N) ratio, which is set as the objective function for optimization in Taguchi methods (Lu & Liu, ). The lower and upper bounds of the fuzzy S/N ratio are calculated for each level of the membership function that describe the fuzzy S/N ratio.…”

Section: Literature Reviewmentioning

confidence: 99%

Ranking manufacturing processes from the quality management perspective in the automotive industry

et al. 2019

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The aim of this study is to propose a fuzzy decision‐making model to rank manufacturing processes from the quality management perspective in the automotive industry. This paper proposes a model for improving quality management through the assessment and ranking of manufacturing subprocesses with respect to key performance indicators (KPIs). The developed model, supported with the fuzzy extended ELECTRE III, allows for the determination of subprocesses' rank. An illustrative example indicates that the proposed model could be very useful in everyday business operations as total quality management asset. The model can handle all uncertain and vague input data by applying the theory of fuzzy sets. The research also suggests different managerial implications because it provides an adequate tool for overall quality improvement. The number of treated KPIs is relatively high, so ELECTRE III method gives an advantage over other multicriteria analysis methods because it embraces less subjective thinking and demands slightly less experts' knowledge during the process of decision making and assessment.

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Fuzzy nonlinear programming approach to the evaluation of manufacturing processes

Cited by 18 publications

References 32 publications

Fuzzy Modeling of Urban Water Supply Crisis

Fuzzy Modeling of Urban Water Supply Crisis

Computational Intelligence in the Context of Industry 4.0

Ranking manufacturing processes from the quality management perspective in the automotive industry

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