The future of computer-aided innovation

León, Noel

doi:10.1016/j.compind.2009.05.010

Cited by 69 publications

(46 citation statements)

References 16 publications

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“…Most studies have paid much attention on the positive side of CCPI, such as motivation for collaboration [14], collaborative innovation organization pattern [15] and technology [16], and innovative knowledge management [17]. However, there are little research addressing on the management of conflict, which is a potential threat to weaken the collaborative relationship and the CCPI performance.…”

Section: Ccpi Conflictmentioning

confidence: 99%

Simulation of Conflict Contagion in Customer Collaborative Product Innovation

Su¹,

Yang²,

Yang³

2015

Int. j. simul. model.

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Customer collaborative product innovation (CCPI) is a novel pattern of new product development (NPD) to integrate customers and their knowledge as the main innovative agents and resources. In CCPI, conflict is an intrinsic and inevitable phenomenon. Conflict contagion, however, is a neglected but crucial issue for the CCPI conflict management. In order to study the mechanism and process of CCPI conflict contagion, this paper uses the idea of SIS epidemic propagation as reference, and develops a Conflict-SIS (C-SIS) model through adopting the cellular automata (CA) method and the SIS epidemic model. Based on the C-SIS model, we simulate the process of CCPI conflict contagion, and verify the influence of different setting and factors on the conflict spreading trend. The simulation result well reflects the conflict contagion characteristics of real CCPI system.

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Section: Ccpi Conflictmentioning

confidence: 99%

Simulation of Conflict Contagion in Customer Collaborative Product Innovation

Su¹,

Yang²,

Yang³

2015

Int. j. simul. model.

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“…In recent years, some scholars have carried out useful explorations into specific types manufacturing process innovation by using the Theory of Inventive Problem Solving (Russian acronym: TRIZ) and knowledge engineering [11,[30][31][32]. With the development of Computer-Aided Innovation (CAI) technology and the requirements of manufacturing process problem-solving [33], the concept of computer-aided process innovation was advanced, with some specific application cases being used to illustrate the feasibility of structured/systematic process innovation design [9,12,[34][35][36]. In fact, the traditional computer aided methods of manufacturing process (e.g., Computer-Aided Process Planning (CAPP) and Computer-Aided Manufacturing (CAM)) are mainly used for improving the efficiency and standardization of process planning [37,38], while CAPI is more focused on solving manufacturing process problems, improving process methodologies, fostering whole process innovation design cycles and even enhancing the overall manufacturing innovation capability of enterprises.…”

Section: Knowledge-driven Computer-aided Process Innovationmentioning

confidence: 99%

Manufacturing Process Innovation-Oriented Knowledge Evaluation Using MCDM and Fuzzy Linguistic Computing in an Open Innovation Environment

Wang

Tian

et al. 2017

Sustainability

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In today's complex, constantly evolving and innovation-supporting manufacturing systems, knowledge plays a vital role in sustainable manufacturing process planning and problem-solving, especially in the case of Computer-Aided Process Innovation (CAPI). To obtain formalized and promising process innovation knowledge under the open innovation paradigm, it is necessary to evaluate candidate knowledge and encourage improvement suggestions based on actual innovation situations. This paper proposes a process innovation-oriented knowledge evaluation approach using Multi-Criteria Decision-Making (MCDM) and fuzzy linguistic computing. Firstly, a comprehensive hierarchy evaluation index system for process innovation knowledge is designed. Secondly, by combining an analytic hierarchy process with fuzzy linguistic computing, a comprehensive criteria weighting determination method is applied to effectively aggregate the evaluation of criteria weights for each criterion and corresponding sub-criteria. Furthermore, fuzzy linguistic evaluations of performance ratings for each criterion and corresponding sub-criteria are calculated. Thus, a process innovation knowledge comprehensive value can be determined. Finally, an illustrative example of knowledge capture, evaluation and knowledge-inspired process problem solving for micro-turbine machining is presented to demonstrate the applicability of the proposed approach. It is expected that our model would lay the foundation for knowledge-driven CAPI in sustainable manufacturing.

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“…TRIZ was developed mainly using knowledge acquired from engineering patents awarded in all engineering domains and is based on the concept that every superior invention is the result of resolving a contradiction and that technical systems follow generic tendencies throughout their existence, which have been named as the laws of technical system evolution (Altshuller, 1984). TRIZ aims to problem solving in computer aided innovation (Leon, 2009 andVerhaegen et al, 2009). However, a new paradigm was necessary for mechatronic system design.…”

Section: Mechatronic Product Developmentmentioning

confidence: 99%

Perspectives of the On-line Engineering Office

Hlebanja¹

2010

New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems

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The future of computer-aided innovation

Cited by 69 publications

References 16 publications

Simulation of Conflict Contagion in Customer Collaborative Product Innovation

Simulation of Conflict Contagion in Customer Collaborative Product Innovation

Manufacturing Process Innovation-Oriented Knowledge Evaluation Using MCDM and Fuzzy Linguistic Computing in an Open Innovation Environment

Perspectives of the On-line Engineering Office

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