The Experts below are selected from a list of 47808 Experts worldwide ranked by ideXlab platform
H. S. Wang - One of the best experts on this subject based on the ideXlab platform.
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A three-phase integrated model for Product Configuration change problems
Expert Systems With Applications, 2009Co-Authors: H. S. Wang, Z. H. Che, M. J. WangAbstract:Requirements of engineers or customers may result in Product Configuration change with Product life cycle; effective management of Product Configuration can actually enhance Productivity and customer satisfaction. This study aims to develop a three-phase evaluation model incorporating fuzzy theory, value engineering and multi-criterion to find optimal strategies for Product Configuration change, so as to select suitable combination of parts suppliers. Genetic algorithm was used to solve the issue concerned with part change in a short time with part quality, cost, time and reliability as evaluation parameters. Finally, as a case study, the display module of a notebook was analyzed, the results indicate that the evaluation can be effectively applied in a large-scale Product Configuration change.
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Multi-period Product Configuration Change Planning: An Application of a Hybrid Algorithm Multi-period Product Configuration Change Planning
2009Co-Authors: Taipei City, Z. H. Che, H. S. WangAbstract:This paper focuses on dealing with the supplier selection and the purchase planning in multi-period change problems of Product Configuration with considering the assembly sequence of components, quantity discount, and customer requirement. To solving the Configuration change problem, an optimized mathematical model is established and a decision support system is developed based on a hybrid algorithm. Through applying the proposed hybrid algorithm, the planning of multi-period Product Configuration change can be completed efficiently and effectively.
Dong Yang - One of the best experts on this subject based on the ideXlab platform.
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A Petri-Net Approach for Modeling Product Configuration Problems under Mass Customization
Advanced Materials Research, 2011Co-Authors: Dong YangAbstract:Product Configuration is a key enabling technology for implementing mass customization Production. In this paper, we present an approach for modeling Product Configuration problems using Petri Net, a well-defined formalism for describing complex discrete systems. In the presented approach, components within a configurable Product are modeled as places of PN whereas structural relationships between components are represented as transitions of PN. Configuration rules such as inclusion and exclusion rules are also described through the elements of PN. By modeling Product Configuration as a PN, a Configuration solution is a set of transitions leading from the initial state of PN to a final state of PN. Therefore, the Configuration problem can be solved by analyzing corresponding PN representation.
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Modeling and Solving Product Configuration Problems Using Petri Net
Advanced Materials Research, 2011Co-Authors: Dong YangAbstract:This Product Configuration is a key enabling technology for implementing mass customization Production. In this paper, we present an approach for modeling Product Configuration problems using Petri Net, a well-defined formalism for describing complex discrete systems. In the presented approach, components within a configurable Product are modeled as places of PN whereas structural relationships between components are represented as transitions of PN. Configuration rules such as inclusion and exclusion rules are also described through the elements of PN. By modeling Product Configuration as a PN, a Configuration solution is a set of transitions leading from the initial state of PN to a final state of PN. Therefore, the Configuration problem can be solved by analyzing corresponding PN representation.
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Product Configuration knowledge modeling using ontology web language
Expert Systems With Applications, 2009Co-Authors: Dong Yang, Hongwei Wu, Rui Miao, Yiting ZhouAbstract:Effective and efficient development of Product Configuration systems, including the modeling of Product Configuration knowledge and the development of inference systems, is a key successful factor to implement mass customization paradigm. Ontology-based method for knowledge representation offers a means for the reuse and sharing of knowledge unambiguously. In this paper, we present a way of representing Product Configuration knowledge using semantic web technology, namely OWL and SWRL, and developing actual Configuration engines based on derived Configuration knowledge. Firstly, a general Configuration ontology model defining vocabularies, terminologies and relationships that are common to the Product Configuration domain is constructed to act as a general semantic foundation for Product Configuration. With this general model, domain specific Configuration models can be derived by inheriting or subclassing the ontologies within this general model. Both general ontology-based model and domain specific Configuration model are formalized using OWL, an ontology language for encoding knowledge over the Web. Furthermore, constraint knowledge, such as require constraints and resource constraints, is represented with SWRL, a rule language based on OWL. Finally, actual Configuration system is implemented using JESS by mapping OWL-based Configuration knowledge and SWRL-based constraints into Jess facts and Jess, respectively. The presented ontology-based method for representing Configuration knowledge enables the reuse of Product Configuration knowledge and thus facilitates the processes of modeling Product Configuration knowledge. In addition, the implementation of actual Configuration system with existing rule engine, namely JESS, makes it possible the rapid development of Product Configuration systems.
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Development of a Product Configuration system with an ontology-based approach
Computer-aided Design, 2008Co-Authors: Dong Yang, Ming Dong, Rui MiaoAbstract:Product Configuration is a crucial means to implement the mass customization paradigm by assembling a set of customizable components to satisfy both customers' needs and technical constraints. With the aim of enabling efficient and effective development of Product Configuration systems by reusing Configuration knowledge, an ontology-based approach to modeling Product Configuration knowledge is presented in this paper. The ontology-based Product Configuration models are hierarchically organized. At the lower level, a Configuration meta-model is defined. Based on this meta-model, domain-specific Configuration knowledge can be derived by reusing or inheriting the classes or relations in the meta-model. Configuration models are formalized using OWL (Ontology Web Language), an ontology representation language developed by W3C. As a result, Configuration models have well-defined semantics due to the logic semantics of OWL, making it possible to automatically detect inconsistencies of Configuration knowledge bases. Furthermore, Configuration constraints are represented in SWRL, a rule language based on OWL. Finally, actual Configuration processes are carried out using JESS, a rule engine for the Java platform, by mapping OWL-based Configuration facts and SWRL-based Configuration constraints into JESS facts and JESS rules, respectively. The proposed methodology is illustrated with an example for configuring the ranger drilling machine.
Zhang Zhi-guang - One of the best experts on this subject based on the ideXlab platform.
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Research on Product Configuration based on Product characteristic vector
Manufacturing Automation, 2008Co-Authors: Zhang Zhi-guangAbstract:In order to improve the adaptability of Product Configuration to different Products,and lower the difficulty of knowledge expression,Product Configuration based on Product characteristic vector was presented.Under the condition of Product characteristics quantifiable,the model of Product Configuration based on Product characteristic vector was Constructed.The method describing characteristics with vector was provided,and component constraints were defined by Product characteristic vector.In the process of figuring out Configuration,demands of Product characteristics by users were converted into Product characteristic,and the calculation algorithm of Product Configuration was presented.Finally a successful case was illustrated.
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Knowledge Expression of Product Configuration Based on Product Characteristic Vector
Computer Engineering, 2008Co-Authors: Zhang Zhi-guangAbstract:Aiming at the situation that Product Configuration can not adapt to different Products and knowledge expression is complicated, Product Configuration based on Product characteristic vector is presented.Under the condition of quantifiable Product characteristics, the model of Product Configuration based on Product characteristic vector is constructed, and the basic theory and process of knowledge expressions are given.Introducing of Product characteristic vector realizes the transformation from the description of natural language of Product characteristics into that of math language.Constraints attached to components are related to Product characteristic vector, which makes constraint representations simple and concentrated, reducing the difficulty of knowledge expression.And a successful case is illustrated.
Z. H. Che - One of the best experts on this subject based on the ideXlab platform.
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A three-phase integrated model for Product Configuration change problems
Expert Systems With Applications, 2009Co-Authors: H. S. Wang, Z. H. Che, M. J. WangAbstract:Requirements of engineers or customers may result in Product Configuration change with Product life cycle; effective management of Product Configuration can actually enhance Productivity and customer satisfaction. This study aims to develop a three-phase evaluation model incorporating fuzzy theory, value engineering and multi-criterion to find optimal strategies for Product Configuration change, so as to select suitable combination of parts suppliers. Genetic algorithm was used to solve the issue concerned with part change in a short time with part quality, cost, time and reliability as evaluation parameters. Finally, as a case study, the display module of a notebook was analyzed, the results indicate that the evaluation can be effectively applied in a large-scale Product Configuration change.
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Multi-period Product Configuration Change Planning: An Application of a Hybrid Algorithm Multi-period Product Configuration Change Planning
2009Co-Authors: Taipei City, Z. H. Che, H. S. WangAbstract:This paper focuses on dealing with the supplier selection and the purchase planning in multi-period change problems of Product Configuration with considering the assembly sequence of components, quantity discount, and customer requirement. To solving the Configuration change problem, an optimized mathematical model is established and a decision support system is developed based on a hybrid algorithm. Through applying the proposed hybrid algorithm, the planning of multi-period Product Configuration change can be completed efficiently and effectively.
Taipei City - One of the best experts on this subject based on the ideXlab platform.
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Multi-period Product Configuration Change Planning: An Application of a Hybrid Algorithm Multi-period Product Configuration Change Planning
2009Co-Authors: Taipei City, Z. H. Che, H. S. WangAbstract:This paper focuses on dealing with the supplier selection and the purchase planning in multi-period change problems of Product Configuration with considering the assembly sequence of components, quantity discount, and customer requirement. To solving the Configuration change problem, an optimized mathematical model is established and a decision support system is developed based on a hybrid algorithm. Through applying the proposed hybrid algorithm, the planning of multi-period Product Configuration change can be completed efficiently and effectively.
