The Experts below are selected from a list of 126 Experts worldwide ranked by ideXlab platform

Oluremi Olatunbosun - One of the best experts on this subject based on the ideXlab platform.

  • prediction of vehicle reliability performance using artificial neural networks
    Expert Systems With Applications, 2008
    Co-Authors: S Lolas, Oluremi Olatunbosun
    Abstract:

    Product Development is an important but also dynamic, lengthy and risky Phase in the life of a new Product. The optimisation of the Product Development Phase through extensive knowledge of the involved procedures is believed to reduce the risks and improve the final Product quality. Artificial intelligence and expert systems have been used successfully in optimising the Development Phase of some new Products as it will be demonstrated by the first sections of this publication. This paper presents the first module of an expert system, a neural network architecture that could predict the reliability performance of a vehicle at later stages of its life by using only information from a first inspection after the vehicle's prototype Production. The paper demonstrates how a tool like neural networks can be designed and optimised for use in reliability performance predictions. Also, this paper presents an optimisation methodology that enabled the neural network to deal with the limited amount of available training data, common during new Product Development, and to finally achieve acceptable prediction performance with small error. A case example is presented to demonstrate the methodology.

Daniel Brissaud - One of the best experts on this subject based on the ideXlab platform.

  • a tool to implement sustainable end of life strategies in the Product Development Phase
    Journal of Cleaner Production, 2008
    Co-Authors: Alexis Gehin, Peggy Zwolinski, Daniel Brissaud
    Abstract:

    Responding to constantly more demanding European legislation, notably for electrical and electronic equipment, worn-out vehicles or hazardous substances, manufacturers have to develop End of Life (EoL) strategies. The challenge today is to assess which ''Product EoL process'' would be profitable for an enterprise given the business model in place. Most of the Original Equipment Manufacturers recycle or subcontract reverse logistic and EoL treatments. Recycling is currently the most common solution but it is far from meeting the goals of Sustainable Development. We believe that, integrating constraints from EoL strategies into the early Phases of design is one important aspect that needs to be improved. We are currently combining this idea with principles from concurrent engineering to develop design aids which permits designers to compare their Products to ''Remanufacturable Product Profiles''. However, conscious those EoL solutions often involve several strategies; it is now envisaged to develop tools to help designers make optimal decisions while designing a Product considering 3R strategies: Reuse, Remanufacture and Recycle. In this paper, our vision of why and how to integrate EoL strategies in the early design Phases is presented, and what tools to apply 3R strategies are envisaged, considering the evolving architecture of the Product, and the translation of transversal information into design criteria.

  • end of life based negotiation throughout the design process
    CIRP Annals, 2004
    Co-Authors: Daniel Brissaud, Peggy Zwolinski
    Abstract:

    Abstract The aim of this paper is to suggest a methodology to accommodate a preferred end-of-life scenario in the early Phases of a Product. Life-cycle engineering and DFE methods have tried to improve design from an environmental point of view. But they failed to provide Product designers with both levers on usable Product characteristics and strategic objectives. The situation-based approach proposed focuses on negotiation of end-of-life strategies and their impact on Product characteristics throughout the Product Development Phase. It is based on the way negotiation between Product engineer and end-of-life strategy engineer can be prepared, then performed and controlled.

S Lolas - One of the best experts on this subject based on the ideXlab platform.

  • prediction of vehicle reliability performance using artificial neural networks
    Expert Systems With Applications, 2008
    Co-Authors: S Lolas, Oluremi Olatunbosun
    Abstract:

    Product Development is an important but also dynamic, lengthy and risky Phase in the life of a new Product. The optimisation of the Product Development Phase through extensive knowledge of the involved procedures is believed to reduce the risks and improve the final Product quality. Artificial intelligence and expert systems have been used successfully in optimising the Development Phase of some new Products as it will be demonstrated by the first sections of this publication. This paper presents the first module of an expert system, a neural network architecture that could predict the reliability performance of a vehicle at later stages of its life by using only information from a first inspection after the vehicle's prototype Production. The paper demonstrates how a tool like neural networks can be designed and optimised for use in reliability performance predictions. Also, this paper presents an optimisation methodology that enabled the neural network to deal with the limited amount of available training data, common during new Product Development, and to finally achieve acceptable prediction performance with small error. A case example is presented to demonstrate the methodology.

Peggy Zwolinski - One of the best experts on this subject based on the ideXlab platform.

  • a tool to implement sustainable end of life strategies in the Product Development Phase
    Journal of Cleaner Production, 2008
    Co-Authors: Alexis Gehin, Peggy Zwolinski, Daniel Brissaud
    Abstract:

    Responding to constantly more demanding European legislation, notably for electrical and electronic equipment, worn-out vehicles or hazardous substances, manufacturers have to develop End of Life (EoL) strategies. The challenge today is to assess which ''Product EoL process'' would be profitable for an enterprise given the business model in place. Most of the Original Equipment Manufacturers recycle or subcontract reverse logistic and EoL treatments. Recycling is currently the most common solution but it is far from meeting the goals of Sustainable Development. We believe that, integrating constraints from EoL strategies into the early Phases of design is one important aspect that needs to be improved. We are currently combining this idea with principles from concurrent engineering to develop design aids which permits designers to compare their Products to ''Remanufacturable Product Profiles''. However, conscious those EoL solutions often involve several strategies; it is now envisaged to develop tools to help designers make optimal decisions while designing a Product considering 3R strategies: Reuse, Remanufacture and Recycle. In this paper, our vision of why and how to integrate EoL strategies in the early design Phases is presented, and what tools to apply 3R strategies are envisaged, considering the evolving architecture of the Product, and the translation of transversal information into design criteria.

  • end of life based negotiation throughout the design process
    CIRP Annals, 2004
    Co-Authors: Daniel Brissaud, Peggy Zwolinski
    Abstract:

    Abstract The aim of this paper is to suggest a methodology to accommodate a preferred end-of-life scenario in the early Phases of a Product. Life-cycle engineering and DFE methods have tried to improve design from an environmental point of view. But they failed to provide Product designers with both levers on usable Product characteristics and strategic objectives. The situation-based approach proposed focuses on negotiation of end-of-life strategies and their impact on Product characteristics throughout the Product Development Phase. It is based on the way negotiation between Product engineer and end-of-life strategy engineer can be prepared, then performed and controlled.

Jaafar Nur Najmiyah - One of the best experts on this subject based on the ideXlab platform.

  • ergonomics risk awareness in associated with employee s learning and experiences
    2015
    Co-Authors: Abdul Aziz Fazilah, Mohd Razali Noraini, Jaafar Nur Najmiyah
    Abstract:

    Currently there are many automotive companies still unable to effectively prevent consequences of poor ergonomics in their manufacturing processes. This study purpose is to determine the knowledge and education factors that influence low ergonomics risk awareness among staffs at early Product Development Phase in Malaysia automotive industry. In this study there are three variables, low ergonomic risk awareness, lack of ergonomics knowledge, and insufficient ergonomics education and training. The survey data were gathered from 245 respondents of local automotive companies in Malaysia. The data was analysed through statistical analysis using SPSS software. Study results revealed that low ergonomic risk awareness has influence by lack of ergonomic knowledge and not to insufficient ergonomics education and training. Lack of ergonomic knowledge showed positive linear relationship with the low ergonomic risk awareness. The more lack of ergonomic knowledge; the lower their ergonomic risk awareness. The main contribution of this paper was identified the number of factors of low ergonomics risk awareness and offers better understanding and awareness on ergonomics among employees at early Product Development Phase in automotive manufacturing companies.