Application of AHP and EIE in Reliability Analysis of Complex Production Lines Systems

Niu, Guocheng; Wang, Yifan; Hu, Zhen; Zhao, Qingxu; Hu, Dongmei

doi:10.1155/2019/7238785

Cited by 9 publications

(5 citation statements)

References 15 publications

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“…In terms of weight combination, Niu et al determined the combination of the two weighting methods by finding the difference coefficient [11]. Gao et al obtained the combination weight by using the objective data to modify the weighting method of the subjective data [12].…”

Section: Weight Combination Methodmentioning

confidence: 99%

Effectiveness Evaluation of Missile Electromagnetic Launch System Based on ADC Model Improved by EWM-FAHP-ICWGT

Chen

2020

Mathematical Problems in Engineering

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To solve the key problems of strong infrared radiation, poor continuous combat capability of the system, serious ablation of the launching device, and environmental pollution during missile launch, the electromagnetic launch system (EMLS) has been studied for missile launching tasks. However, most of the current research studies are aimed at specific technical points and lack the overall design and evaluation of the system. Therefore, the designed system may have problems such as excessive cost, lack of economy, or low overall efficiency. In order to complete the overall evaluation of the missile electromagnetic launch system (MEMLS), this article established an ADC model improved by entropy weight method-fuzzy analytic hierarchy process-improved combination weighting model of game theory (EWM-FAHP-ICWGT). The established model integrates subjective and objective weights, eliminating the problem of negative combination coefficients that traditional CWGT may bring, and the average difference in combination weights is the smallest. Difference analysis and differential analysis are also used here to discuss the requirements for the reliability indicator which is mean time between failure (MTBF) and maintainability indicator which is mean time to repair (MTTR) to further improve the effectiveness of the system. Finally, the indicators that have a significant impact on the performance of MEMLS are analyzed, which provides a direction for further research on the system.

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Section: Weight Combination Methodmentioning

confidence: 99%

Effectiveness Evaluation of Missile Electromagnetic Launch System Based on ADC Model Improved by EWM-FAHP-ICWGT

Chen

2020

Mathematical Problems in Engineering

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“…Moreover, it can break down the complex problem of designing layer by layer. The main steps are as follows [25][26][27] : (1) establish a hierarchy model for the target product, (2) construct a judgment matrix for the comparison, (3) determine the weights, and (4) check the consistency. In the evaluation of the exterior design of subway trains, applying the AHP to the weight analysis of the evaluation criteria can combine a subjective evaluation with an objective analysis to quantify the design evaluation.…”

Section: Introductionmentioning

confidence: 99%

An optimal selection method for exterior design schemes of subway trains based on multi-level gray relational analysis

Zou

Xiang

Zhi

et al. 2023

Sci Rep

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To make appropriate decisions in the evaluation phase of the exterior design of subway trains, an optimal selection method was proposed based on multi-level gray relational analysis. The exterior design factors of subway trains were analyzed to construct an index system for design evaluation. The significance of each index was compared through an analytic hierarchy process. The correlation coefficient of each index in the plan was calculated through gray relational analysis to obtain the weighted correlation degree of each design scheme. The optimal selection of the exterior design of Guangzhou Metro Line 6 in China was considered as an example. Four types of subjects were recruited: professional designers, students majoring in design, subway train design experts, and subway passengers in Guangzhou. The weight of each index in the evaluation system was calculated using questionnaire scoring. Virtual simulation software was applied to evaluate the human factors related to each scheme. The indices in each plan were then scored to calculate the correlation coefficient and the overall correlation degree; and finally, the optimal selection was obtained. The results showed that it was practical to evaluate and optimize the exterior design of subway trains based on multi-level gray relational analysis. In the evaluation index system, the weights of technology, human factors, aesthetics, and culture were 0.517, 0.297, 0.099, and 0.087, respectively, which showed that technology had the greatest impact on the system, while human factors, aesthetics, and culture were useful complements. Our results showed that Design Scheme 1 was unsuitable as an optimization scheme due to the high escape window. Meanwhile, Design Scheme 2 was optimal overall, from a technical perspective. Design Scheme 3 was the best in terms of the escape window index (a human factor). Design Schemes 3 and 4 were optimally assessed from aesthetic and cultural perspectives. This study is conducive to the optimization of the exterior design of subway trains, can be used to inform design iteration, and provides a reference for the optimal selection of design schemes for other urban rail trains.

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“…[ 9 ], which showed a model of machine reliability monitoring in which decisions on preventive or corrective maintenance were made based on observed reliability, although they did not consider the cost of maintenance. Zhen Hu [ 10 ] uses the health index to assess the remaining component lifetime on manufacturing lines.…”

Section: Introductionmentioning

confidence: 99%

Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine

García

Salgado

2021

Sensors

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The study of reliability, availability and control of industrial manufacturing machines is a constant challenge in the industrial environment. This paper compares the results offered by several maintenance strategies for multi-stage industrial manufacturing machines by analysing a real case of a multi-stage thermoforming machine. Specifically, two strategies based on preventive maintenance, Preventive Programming Maintenance (PPM) and Improve Preventive Programming Maintenance (IPPM) are compared with two new strategies based on predictive maintenance, namely Algorithm Life Optimisation Programming (ALOP) and Digital Behaviour Twin (DBT). The condition of machine components can be assessed with the latter two proposals (ALOP and DBT) using sensors and algorithms, thus providing a warning value for early decision-making before unexpected faults occur. The study shows that the ALOP and DBT models detect unexpected failures early enough, while the PPM and IPPM strategies warn of scheduled component replacement at the end of their life cycle. The ALOP and DBT strategies algorithms can also be valid for managing the maintenance of other multi-stage industrial manufacturing machines. The authors consider that the combination of preventive and predictive maintenance strategies may be an ideal approach because operating conditions affect the mechanical, electrical, electronic and pneumatic components of multi-stage industrial manufacturing machines differently.

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Application of AHP and EIE in Reliability Analysis of Complex Production Lines Systems

Cited by 9 publications

References 15 publications

Effectiveness Evaluation of Missile Electromagnetic Launch System Based on ADC Model Improved by EWM-FAHP-ICWGT

Effectiveness Evaluation of Missile Electromagnetic Launch System Based on ADC Model Improved by EWM-FAHP-ICWGT

An optimal selection method for exterior design schemes of subway trains based on multi-level gray relational analysis

Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine

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