A manufacturing resource allocation method with knowledge-based fuzzy comprehensive evaluation for aircraft structural parts

Chu, Wangwei; Li, Yingguang; Liu, Changqing; Mou, Wenping; Tang, Liang

doi:10.1080/00207543.2013.869369

Cited by 36 publications

(15 citation statements)

References 37 publications

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“…The assessment for the level of risk perception was set to five levels, namely V 1 (strong) to V 5 (weak). According to the weight calculation step of the fuzzy comprehensive evaluation method, the evaluation of the bottom layer index was carried out, followed by the calculation of the target layer weight [47]. The specific calculation was as follows [48].…”

Section: Group Risk Perception Calculationmentioning

confidence: 99%

Risk Evaluation of “Not-In-My-Back-Yard” Conflict Potential in Facilities Group: A Case Study of Chemical Park in Xuwei New District, China

Nie¹,

Zhao²,

Zhang³

et al. 2020

Sustainability

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The social risk of chemical industry park projects attracts much attention, as they are perceived to yield strong environmental risks. This paper systematically evaluates the social risk of Xuwei Chemical Park in China, which was investigated as an example to guide the risk control strategy of conflict in industrial facilities for developing countries. The results show that residents and government departments have a resistance to the risks of the project as a stronger sense of group risk perception (the value is 7 × 10−6) compared with the basic value of 7 × 10−5. By contrast, the low value of group risk perception was evaluated in an enterprise group (7 × 10−4), indicating that the risks of petrochemical projects are often accepted. The expert group’s risk perception regarding petrochemical projects is consistent with the basic value. This is a very interesting finding indicating that the greater the experience, the more the support for petrochemical projects. The knowledge and information from education or experience improve the judgment of the risk of the facility, which increases the individual’s rational assessment comprehension of risk. Moreover, factors that are significantly related to residents’ attitudes are information cognitive factors (trust in information publicity and petrochemical project understanding), and project influencing factors (project planning rationality, quality of life improvement, and economic development satisfaction). Among them, the degree of trust in information disclosure has the highest degree of influence, followed by the level of education, while the satisfaction with economic development has the lowest degree of influence. Therefore, improving the trust of residents in the information disclosure of petrochemical projects should be the core of the government’s risk control policy.

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Section: Group Risk Perception Calculationmentioning

confidence: 99%

Risk Evaluation of “Not-In-My-Back-Yard” Conflict Potential in Facilities Group: A Case Study of Chemical Park in Xuwei New District, China

Nie¹,

Zhao²,

Zhang³

et al. 2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…Fuzzy comprehensive evaluation [10][11][12] is a very effective decision-making method to make a comprehensive and objective evaluation of things affected by many uncertainties. After summarizing the common operation chains for each machining feature, this paper built a fuzzy comprehensive evaluation model of potential feature operation chains.…”

Section: Modeling Of Fuzzy Evaluation Of An Operation Chainmentioning

confidence: 99%

Decision-making of feature operation chain considering processing requirements and manufacturing stability

Chang

et al. 2016

Int J Adv Manuf Technol

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Existing decision-making methods for selection of feature operation chains normally only consider the processing requirements and neglect the impacts of the selected feature operation chain on the production line of the enterprise. As a result, the newly inserted manufacturing task may lead to a decrease in the manufacturing stability, which increases the malfunction probability of some machines and reduces production efficiency simultaneously. To solve this problem, a decision-making method for feature operation chain selection considering processing requirements and manufacturing stability is presented. The proposed method explores the factors affecting selection of a feature operation chain and develops a fuzzy comprehensive evaluation model of feature operation chain selection using hole feature as an example, thus realizing the selection of possible feature operation chains based on processing requirements. The method further applies a complex network theory to build an enterprise manufacturing network model, analyzes the manufacturing network stability, and then evaluates potential feature operation chains using a network stability index. Experimental results show that the proposed method is feasible and effective.

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“…In the procedure of optic camouflage performance assessment, the teacher value is provided by experts' evaluation or other ways. There are several methods of assessment of multiple criteria such as one-nine degree and experts mark, analytical hierarchy process [14], fuzzy comprehensive evaluation [15] method and so on. However, they are sometimes too "subjective".…”

Section: Assessment Index System For Optic Camouflage Performancementioning

confidence: 99%

A Two-stage Hybrid Algorithm for Optic Camouflage Performance Assessment Based on DEA and ANN

Li¹,

Cong²,

Liu³

2015

Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

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This paper assessed optic camouflage performance by a two-stage hybrid model combined DEA and ANN. The assessment indexes of optic camouflage performance were firstly constructed. Then we proposed the hybrid algorithm by the following two stages: (1) Conventional CCR model was improved by super-efficiency issue with non-Archimedean infinitesimal; (2) ANN was combined with super-efficiency DEA to form a hybrid model. The objectivity of teacher value in ANN which is defined as the relative efficiencies of the optic camouflage performance has a bearing on convergence speed and learning precision of network. DEA is applied to calculate teacher values, which requires no assumption on the appearance of the frontier surface as well as makes no hypothesis concerning the internal operations of a decision making unit. Meanwhile, the super-efficiency scores will help to distinguish the efficient decision making units as well. A simulation test shows that the convergence speed of the new model is increased by 57.69%, and the learning error is improved by 98.47%. The improved hybrid model has higher convergence speed and better learning precision than traditional one to assess optic camouflage performance.

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A manufacturing resource allocation method with knowledge-based fuzzy comprehensive evaluation for aircraft structural parts

Cited by 36 publications

References 37 publications

Risk Evaluation of “Not-In-My-Back-Yard” Conflict Potential in Facilities Group: A Case Study of Chemical Park in Xuwei New District, China

Risk Evaluation of “Not-In-My-Back-Yard” Conflict Potential in Facilities Group: A Case Study of Chemical Park in Xuwei New District, China

Decision-making of feature operation chain considering processing requirements and manufacturing stability

A Two-stage Hybrid Algorithm for Optic Camouflage Performance Assessment Based on DEA and ANN

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