Multi-Objective and Multi-Stage Reliability Growth Planning in Early Product-Development Stage

Li, Zhaojun Steven; Mobin, Mohammadsadegh; Keyser, Thomas K.

doi:10.1109/tr.2015.2484063

Cited by 53 publications

(19 citation statements)

References 37 publications

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“…The simulation results show that new proposed ABC algorithm has good performance than other ABC algorithms in most case. It may be also worthy to apply other optimization algorithms such as NSGA-II, NSGA-III, MOPSO [12][13] to optimize ICA algorithm.…”

Section: Resultsmentioning

confidence: 99%

An improved artificial bee colony algorithm

Wang

2018

The 2nd World Conference on Humanities and Social Sciences (WCHSS 2017)

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Abstract.To improve the performance of artificial bee colony algorithm, a modified artificial bee colony algorithm is proposed. The modified ABC algorithm takes advantage of chaotic mapping to enhance diversity in the bee population, uses information of a better solution to guide the search of candidate solutions toward a promising direction that improves exploitation, and introduces a global solution into the scout stage in order to jump out of the local optimal value. The modified ABC algorithm balances exploration and exploitation, which contradict each other, so that it can achieve optimal performance. Simulation results show the proposed method has more accuracy than the other methods.

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Section: Resultsmentioning

confidence: 99%

An improved artificial bee colony algorithm

Wang

2018

The 2nd World Conference on Humanities and Social Sciences (WCHSS 2017)

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“…These are the factors that are not under the control of the DMU but influence its ability to create an output. 13 So far, the DEA method has shown its favorable results in multiple fields, 14,15 and the DEA and other decisionmaking tools have been integrated to optimize the expected result. Therefore, the DEA method is applied to the reliability and economy analysis and improvement of complex electromechanical products in this study.…”

Section: Dea-based Research Methods Selectionmentioning

confidence: 99%

Reliability and economic analysis and improvement of complex mechanical products based on DEA: An empirical case study of hydraulic products

Zhao

Zhang

Rendy

et al. 2019

Quality & Reliability Eng

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Complex mechanical products involve many specialized fields such as machinery, electronics, hydraulics, and computers, so their initial cost is usually higher. In addition, regular and irregular maintenance are also needed to extend their service life, so that the cost of the product in its life cycle will be increased. Therefore, for the manufacturing enterprises of complex mechanical products, it is very important to achieve the best matching between reliability and economy. In order to survive in the fierce market competition, it is necessary to compare with other similar products in the market, so as to clearly understand the level of their products, find out the gap, and improve it. However, the existing product reliability assessment methods based on probability and statistics theory cannot provide such help for them to solve this problem. Therefore, this paper puts forward a method to evaluate and improve complex mechanical products by using a data envelopment analysis (DEA) model considering the reliability and economy of product comprehensively. Through the relative effectiveness of DEA, the same type of products on the market can be compared, providing specific method for enterprises to evaluate and improve their own product level to achieve the best matching of economy and reliability. This paper introduces the principle and steps of this method and takes the hydraulic component manufacturing enterprise as an example to carry out practical research, which verifies the feasibility and effectiveness of this method.

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Section: Literature Reviewmentioning

confidence: 99%

“…The design reliability is the inherent reliability of a product, which determines the reliability level; the manufacturing reliability ensures the reliability level during the production process; and the operational reliability is the reliability during use, which is related to many factors, such as the operational conditions, operating environment, and operating duration. 15 At present, many scholars have optimized the reliability of a CMP in the stages of design, [16][17][18] manufacturing, 19 and operation. [20][21][22] In the process of reliability optimization at different stages of a CMP life cycle, reliability optimization design, reliability sensitivity design, and reliability robust design for influential parts can effectively improve the inherent reliability of a product, and failure detection or indication devices for influential parts can effectively improve the operational reliability.…”

Section: Literature Reviewmentioning

confidence: 99%

Identification of the influential parts in a complex mechanical product from a reliability perspective using complex network theory

Yin

Dong

et al. 2019

Quality & Reliability Eng

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Due to the difference in the numbers and strengths of physical relationships among parts, complex mechanical products (CMPs) have community structure characteristics. There are often some influential parts in the community. Failures of these influential parts spread rapidly along the physical relationships between parts in the community, which seriously affects the reliability of a product. Therefore, identifying the influential parts in the community and adopting targeted measures can effectively improve the reliability and service life of a product. However, identifying the influential parts within each community in a collection of parts with complex relationships is very difficult. Thus, from the perspective of reliability, a method for identifying the influential parts of a CMP based on complex network theory is proposed and used to identify the influential parts in each community of products. First, weighted complex network (WCN) theory is employed to construct a CMP into a WCN model. Second, the complex network community detection method is employed to detect the community structure of the WCN model. Third, a modified LocalRank algorithm is employed to identify the influential nodes in each community, ie, the influential parts in each community of a CMP. Fourth, a modified susceptible‐infectious‐recovered (SIR) model is employed to evaluate the impacts of the influential parts. An analysis of a company's DC drill planetary gearbox shows that the proposed method is accurate and effective.

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Multi-Objective and Multi-Stage Reliability Growth Planning in Early Product-Development Stage

Cited by 53 publications

References 37 publications

An improved artificial bee colony algorithm

An improved artificial bee colony algorithm

Reliability and economic analysis and improvement of complex mechanical products based on DEA: An empirical case study of hydraulic products

Identification of the influential parts in a complex mechanical product from a reliability perspective using complex network theory

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