2006
DOI: 10.1016/s0007-8506(07)60386-2
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Risk Quantification for New Product Design and Development in a Concurrent Engineering Environment

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Cited by 31 publications
(15 citation statements)
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“…They used both fuzzy theory and Markov processes on concurrent engineering basis. Kayis et al (2006) developed a user interactive, dynamic risk management software package which was commercialized and deployed successfully by a major international manufacturer. Thunnissen (2003) classified the risks and uncertainties in detail.…”
Section: Product Development Process Risksmentioning
confidence: 99%
“…They used both fuzzy theory and Markov processes on concurrent engineering basis. Kayis et al (2006) developed a user interactive, dynamic risk management software package which was commercialized and deployed successfully by a major international manufacturer. Thunnissen (2003) classified the risks and uncertainties in detail.…”
Section: Product Development Process Risksmentioning
confidence: 99%
“…It was by means of knowledge-based engineering system coupled to databases and spreadsheets. Kayis et al [28] applied the Bayesian Belief Networks to map the inheritance between risk events in product life cycle. Also, a product life cycle model with object-oriented approach was developed [29], where the model contained features in assembly, disassembly, recycling, maintenance, and environment phases.…”
Section: ) Product Life Cycle Modelingmentioning
confidence: 99%
“…Both quantitative and qualitative assessments are carried out to quantify numerical values of these three parameters [8]. Quantitative assessment is performed with the data obtained from several projects to calculate numerical values of weighted score, risk likelihood and risk consequence.…”
Section: Risk Parametersmentioning
confidence: 99%
“…It maps and stores all risks related to organisation, project, product and process all through the life-cycle of the project, covering the extended enterprise. Previous and current knowledge on risk events are utilised through lessons learned, case studies, best practices and expert knowledge [8]. This paper describes a new risk mitigation methodology developed for new product and process design in CE projects based on the above work.…”
Section: Introductionmentioning
confidence: 99%