Understanding TRIZ through the review of top cited publications

Chechurin, Leonid; Borgianni, Yuri

doi:10.1016/j.compind.2016.06.002

Cited by 93 publications

(56 citation statements)

References 115 publications

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“…The fundamental principle behind the TRIZ method is to find contradictions in a system and then eliminate them by using TRIZ tools. TRIZ has been widely used in the engineering and technical field for R&D and in the designing for tangible products [34].…”

Section: Step 2 Problem Definitionmentioning

confidence: 99%

Coupling Products and Services in Design Processes: A Case Study of Smart Drip

Chou¹,

Ha²,

Yi-ShanLai³

2018

KSS

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Section: Step 2 Problem Definitionmentioning

confidence: 99%

Coupling Products and Services in Design Processes: A Case Study of Smart Drip

Chou¹,

Ha²,

Yi-ShanLai³

2018

KSS

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“…On the other side, physical contradictions express two inconsistent requirements to the physical condition that may both be desired in the same system. As (Chechurin and Borgianni, 2016) have underlined, the preponderance of problem solving orientation can be inferred by the popularity of contradiction due to its apparent simplicity. But it is worth noticing that these most popular tools are not the most powerful belonging to TRIZ, as a result one perspective would be to apply these most outstanding tools in the process engineering domain.…”

Section: Theoretical Backgroundsmentioning

confidence: 99%

Management of «Systematic Innovation»: A kind of quest for the Holy Grail!

Negny

Lann

Flores

et al. 2017

Computers & Chemical Engineering

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In this paper, authors propose a contribution for improving the open innovation processes. It shows the necessity to get an efficient methodology for open innovation in order to build a computer aided tool for inventive design in Process Systems Engineering (PSE). The proposed methodology will be evocated to be fully used in the context of the "revolutionary" concepts around the so-called factory for the future, also called integrated digital factory, innovative factory.. . As a result the main contribution of this paper is to propose a software prototype for an Open Computer Aided Innovation 2.0. By definition this open innovation relies on collaboration. This collaboration should enable a community, with a very broad spectrum of skills, to share data, information, knowledge and ideas. As a consequence, a first sub objective is to create a methodological framework that takes advantages of collaboration and collective intelligence (with its capacity to join intelligence and knowledge). Furthermore, the raise of the digital company and more particularly the breakthroughs in information technologies is a powerful enabler to extend and improve the potential of collective intelligence. The second sub objective is to propose a problem resolution process to impel creativity of expert but also to develop, validate and select innovative solutions. After dealing with the importance of Process Innovation and Problem solving investigation in PSE, the proposed approach originally based on an extension of the TRIZ theory (Russian acronym for Theory of Inventive Problem Solving), has been improved by using approach such as case-based reasoning, in order to tackle and revisit problems encountered in the PSE. A case study on biomass is used to illustrate the capabilities of the methodology and the tool.

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“…[1,2,[6][7][8]10]. Conceptual design methods proposed in the literature can be classified into three categories based on focal points and tools used: (1) design models according to the design criterion of the product, such as the Axiomatic Design (AD) model proposed by Suh [13], the Technology System Forecasting model proposed by Mann [14]; (2) design models based on design strategies of product, such as the Function-Behaviour-Structure (FBS) model proposed by Gero and Kannengiesser [15], and the attribute-based decision-making model proposed by Wang [16]; (3) design models adopting artificial intelligence, such as the case-based reasoning model proposed by Madhusudan et al [17], Tran et al [18], Hassaniena et al [19], Cho et al [20], and the BRIGHT Process integrated with TRIZ proposed by Tsai and Childs [21], and Chechurin and Borgianni [22]. Speed and innovativeness are two key factors for the manufacturer or company, and the optimization of the decision-making process can satisfy these two attributes simultaneously.…”

Section: Introductionmentioning

confidence: 99%

A case-based decision theory based process model to aid product conceptual design

Rao

Chen

et al. 2017

Cluster Comput

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In new product development, the rapid proposal of innovative solutions represents an important phase. This in turn relies on creative ideas, their evaluation, refinement and embodiment of worthwhile directions. This study aims to describe a CBDT based process model for product conceptual design that concentrates on rapidly generating innovations with the support of decision-making rationale. Case-based Decision Theory (CBDT), derived from case-based reasoning, is developed in this paper as a core method to aid design engineers to make an informed decision quickly, thus accelerating the design process. In the process of utilizing CBDT to support a decision, as for the similarity function, the proper value assignment methods to the selected attribute set for calculation are discussed. In order to assist with innovative solution, aspects of the Theory of Inventive Problem Solving (TRIZ) are integrated into the case-based reasoning process. Accordingly, a CBDT-TRIZ model is developed. Quality-Function Deployment (QFD) is used to translate customer wants into relevant engineering design requirements and thus formulating the design specification. Image Scale is used to offer an orthogonal coordinates system to aid evaluation. Finally, a case study is used to demonstrate the validity of the proposed process model based on the design of a cordless hand-tool for garden and lawn applications.

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Understanding TRIZ through the review of top cited publications

Cited by 93 publications

References 115 publications

Coupling Products and Services in Design Processes: A Case Study of Smart Drip

Coupling Products and Services in Design Processes: A Case Study of Smart Drip

Management of «Systematic Innovation»: A kind of quest for the Holy Grail!

A case-based decision theory based process model to aid product conceptual design

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