An Analytical Robust Design Optimization Methodology Based on Axiomatic Design Principles

Cheng, Qiang; Xiao, Chuanming; Zhang, Guojun; Gu, Peihua; Cai, Ligang

doi:10.1002/qre.1534

Cited by 13 publications

(6 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Under such condition, the multi-response model must be able to consider the correlation among quality characteristic. A number of recent studies which have been attended variance-covariance framework of responses are Cheng et al (2013), Rathod et al (2013), Romano et al (2004) and Salmasnia et al (2013).…”

Section: Multi-objective Robust Optimizationmentioning

confidence: 99%

An overview on robust design hybrid metamodeling: Advanced methodology in process optimization under uncertainty

Parnianifard¹,

Azfanizam²,

Ariffin³

et al. 2018

10.5267/j.ijiec

View full text Add to dashboard Cite

Nowadays, process optimization has been an interest in engineering design for improving the performance and reducing cost. In practice, in addition to uncertainty or noise parameters, a comprehensive optimization model must be able to attend other circumstances which might be imposed in problems under real operational conditions such as dynamic objectives, multiresponses, various probabilistic distribution, discrete and continuous data, physical constraints to design parameters, performance cost, computational complexity and multi-process environment. The main goal of this paper is to give a general overview on topics with brief systematic review and concise discussions about the recent development on comprehensive robust design optimization methods under hybrid aforesaid circumstances. Both optimization methods of mathematical programming based on Taguchi approach and robust optimization based on scenario sets are briefly described. Metamodels hybrid robust design is discussed as an appropriate methodology to decrease computational complexity in problems under uncertainty. In this context, the authors' policy is to choose important topics for giving a systematic picture to those who wish to be more familiar with recent studies about robust design optimization hybrid metamodels, also by attending real circumstances in practice. In particular, production and project management are considered as two important methodologies that could be improved by applications of advanced robust design combining with metamodel methods.

show abstract

Section: Multi-objective Robust Optimizationmentioning

confidence: 99%

An overview on robust design hybrid metamodeling: Advanced methodology in process optimization under uncertainty

Parnianifard¹,

Azfanizam²,

Ariffin³

et al. 2018

10.5267/j.ijiec

View full text Add to dashboard Cite

show abstract

“…Then, will start with requirement engineering exercise to get the detailed requirement. Literatures showed examples of applying such strategy on implementing new system for different purposes [47][48][49]. After that the transformation of the design detailed conditions to design conclusions will take a place to suite the detailed task.…”

Section: Design and Implementation Processmentioning

confidence: 99%

System Support Engineering Framework: A Tool to Achieve Strategy Transformation

Alsaidi¹,

Mo²

2014

View full text Add to dashboard Cite

Modern refineries are complex, very high in value of production. They are expected to function for years to come, with ability to handle the changes in technology and feed quality. The aging of a refinery and continuous increases of vendors and contractors force the refinery's operation management to design a strategic approach which can capture these changes. Therefore, this paper explores and outlines the nature of the support system design for a refinery in order to comply with strategic transformation. The research work explores the operation support system from a range of perspectives, by interviewing managers from across the refinery organization. The factors contributing to complexity of a support system are described in the context presented, which clusters them into several key areas. It is proposed that SSE framework may then be used as analytical tool for managing and designing support system(s). The paper will conclude with discussion of potential application and strategic views of the framework. Also, it will designate the opportunities for future work.

show abstract

“…Zhang et al [1] established a robust tolerance design method model that considering the relationship between performance, cost, design parameter and tolerance, and realized the optimal design of tolerance. Cheng et al [2] proposed a new robust analysis method based on axiomatic design…”

Section: Introductionmentioning

confidence: 99%

Optimal Analysis of Performance Improvement Strategy for Mechanical System Assembly Process Based on Fault Tree Model

Wang

Ran

et al. 2019

IEEE Access

View full text Add to dashboard Cite

The assembly quality of the mechanical product has a significant effect on its performance. The assembly process of the mechanical product is analyzed and optimized in this paper, then the goal of the product performance improvement is achieved by using the minimum cost. Firstly, decomposing the structure of the mechanical system by the ''Function-Motion-Action'' (FMA) decomposition method and the meta-actions are obtained. Then, the reason of the mechanical system performance failure is analyzed at the meta-action level and a modular fault tree model is established. Secondly, all BEs and MCSs that leading to the mechanical system performance failure are obtained through FTA, and an optimization model that considering mechanical system assembly performance index and cost is established combining cost-failure rate function relationship. Finally, using the optimization algorithm to solve the problem, and the optimal performance improvement strategy under a given performance index is obtained. The proposed method is used to optimize and analyze the performance improvement strategy of the assembly process of the computer numerical control (CNC) machine tool turntable system to obtain the optimal performance improvement strategy. The goal of improving the assembly quality of mechanical products can be achieved at the lowest cost by the optimal strategy. The method can effectively guide the production process of the mechanical product, save the produce cost and improve the assembly quality.

show abstract

An Analytical Robust Design Optimization Methodology Based on Axiomatic Design Principles

Cited by 13 publications

References 71 publications

An overview on robust design hybrid metamodeling: Advanced methodology in process optimization under uncertainty

An overview on robust design hybrid metamodeling: Advanced methodology in process optimization under uncertainty

System Support Engineering Framework: A Tool to Achieve Strategy Transformation

Optimal Analysis of Performance Improvement Strategy for Mechanical System Assembly Process Based on Fault Tree Model

Contact Info

Product

Resources

About