Conflict Resolution for Product Performance Requirements Based on Propagation Analysis in the Extension Theory

Zhao, Yanwei; Hong, Huanhuan; Jiang, Gaochao; Chen, Weigang; Wang, Hongwei

doi:10.1155/2014/589345

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…In low-carbon design, since E and C are both single factors in each stage, and P is integrated by multiple factors in each of eight stages of product life cycle, 42 in this section we mainly study attribute transformation of performance P. Suppose the j 3 th performance attribute of a product case P ij 1 j 2 j 3 on the third layer of the ith stage can be transformed. It includes three scenarios: (1) deletion transformation of P ij1j2j3 , (2) increase transformation of P ij 1 j 2 j 3 , and (3) substitution transformation of P ij 1 j 2 j 3 :…”

Section: Dynamic Classification Based On Attribute Transformationmentioning

confidence: 99%

Extension classification method for low-carbon product cases

Zhao

Ren

Hong

et al. 2016

Advances in Mechanical Engineering

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In product low-carbon design, intelligent decision systems integrated with certain classification algorithms recommend the existing design cases to designers. However, these systems mostly dependent on prior experience, and product designers not only expect to get a satisfactory case from an intelligent system but also hope to achieve assistance in modifying unsatisfactory cases. In this article, we proposed a new categorization method composed of static and dynamic classification based on extension theory. This classification method can be integrated into case-based reasoning system to get accurate classification results and to inform designers of detailed information about unsatisfactory cases. First, we establish the static classification model for cases by dependent function in a hierarchical structure. Then for dynamic classification, we make transformation for cases based on case model, attributes, attribute values, and dependent function, thus cases can take qualitative changes. Finally, the applicability of proposed method is demonstrated through a case study of screw air compressor cases.

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Section: Dynamic Classification Based On Attribute Transformationmentioning

confidence: 99%

Extension classification method for low-carbon product cases

Zhao

Ren

Hong

et al. 2016

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…And the design objective is typically based on designer experience, and the value of the design objective cannot be determined effectively. Zhao et al (2015) extracted design objectives from technical criteria and cost, which can be used to obtain the reliable principle solution. Tao et al (2015) identified the product function objective based on user preferences and requirements and created a conceptual scheme that satisfied user requirements.…”

Section: Introductionmentioning

confidence: 99%

Conceptual design conceptual scheme optimization based on integrated design objectives

Jiang

Jing

Peng

et al. 2018

Concurrent Engineering

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In the early conceptual design process, a large number of conceptual schemes can be selected. However, existing studies primarily focused on mapping from the function to the principle solution and then evaluating the principle scheme. Currently, many concept selection methods are used for a small number of feasible schemes, thus not addressing a large number of initial conceptual schemes. As the scheme design is objective oriented, a reasonable design objective constraint should be considered when optimizing many schemes to avoid conflict between the conceptual scheme and the design objectives. This approach can quickly eliminate many unreasonable schemes produced by the principle of free combination. To address this problem, we propose a method for optimizing the conceptual design scheme based on integrated design objectives. First, the product design objectives and sub-objectives are obtained based on the functional requirements. A user requirement matrix is then created to cluster and analyse the sub-objectives. Second, a cooperative game model is created to coordinate sub-objective contradictions. Then, the game player and the strategy set are defined via secondary clustering, and the strategy utility is calculated to create a game utility matrix for each objective. Finally, the eigenfunction is analysed to obtain the strategy set satisfying the maximum requirement interest, which is applied in principle scheme optimization to quickly filter unreasonable schemes. The conceptual design of a transmission device is used as an example of the rapidly implemented optimization of the conceptual schemes.

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“…34 In Extenics, 35 it adopts the basic-element theory, including matter-element, affair-element, and relation-element, to represent the conflict problem in a formalized model; uses the dependent function to quantitatively identify and evaluate the conflict problem; and employs detailed transformation operations to transform the generic strategies into the feasible design scheme. Zhao et al 36 propose the conflict solution for product performance requirements based on propagation analysis in Extenics; improve the retrieval method to get similar cases, implement transformation operations on the similar cases by propagation analysis, and evaluate the effect and level of propagation to achieve the optimal scheme. Tang et al 37 integrate extension transformations and gene expression programming (GEP) for incompatible problems and overcome the combination explosion of schemes.…”

Section: Introductionmentioning

confidence: 99%

Accelerating preliminary low-carbon design for products by integrating TRIZ and Extenics methods

Ren

Gui

Zhao

et al. 2017

Advances in Mechanical Engineering

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Low-carbon performance as well as the quality and cost of a new product are normally emphasized in the early phase of low-carbon design for products. Although the TRIZ method and Extenics theory can be applied separately to solve contradiction problems in design field, these two methods have their weaknesses in applications. The purpose of this study is to provide a novel model for accelerating the preliminary low-carbon design by integrating the TRIZ and Extenics methods. Analysis tools and knowledge base tools of TRIZ are adopted to generate generic strategies; basic-element theory and dependent function of Extenics are used to qualitatively and quantitatively describe the conflict problem in a formalized model, and detailed transformation operations are employed to achieve the feasible design solutions. Innovative design schemes for two kinds of conflict problems of the screw air compressor demonstrate the effectiveness of the proposed method.

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Conflict Resolution for Product Performance Requirements Based on Propagation Analysis in the Extension Theory

Cited by 6 publications

References 16 publications

Extension classification method for low-carbon product cases

Extension classification method for low-carbon product cases

Conceptual design conceptual scheme optimization based on integrated design objectives

Accelerating preliminary low-carbon design for products by integrating TRIZ and Extenics methods

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