A process model for concurrent design in manufacturing enterprise information systems
In manufacturing enterprise information systems, concurrent design process is one of the focuses of research on design process management. This study proposes a novel process model for concurrent design based on unified modelling language (UML) and polychromatic sets theory. Model primitives and constructs of UML activity diagram, concurrent design activities, and dynamic changes of concurrent design process are described in the polychromatic sets contour matrix. Based on polychromatic sets theory, the model reduction rules and algorithm are proposed. With the feature-based part design and process planning, a UML model of concurrent design process is developed and mapped into polychromatic sets contour matrix model. The dynamic change, model reduction, path search and time consumption of concurrent design process are analysed, and the direction for improving concurrent design process and shortening product development cycle is suggested.
Available from: Virginie Goepp
- "Indeed, a flexible information infrastructure is the cornerstone for supporting multidisciplinary analysis, design and simulations throughout product design cycles (Wang 2012) as well as agile product manufacturing (Brennan and Norrie 2003). As a result, the role and importance of such ISs have changed significantly over time shifting from simple activity and business process support to competitive advantage provider (Gao, Li, and Li 2008; Wu and Ellis 2000). To meet this objective ISs 'strategic alignment' that studies the link between the business organisation's goals and activities, becomes crucial (Cuenca, Boza, and Ortiz 2011; Goepp and Millet 2011). "
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ABSTRACT: Information systems (ISs) are the cornerstone of manufacturing companies. These rely on technical ISs that enable the integration between the infrastructures and the support of design and production management activities. For them, ‘strategic alignment’ is crucial for business performance. It exists when the ISs and business goals and activities are in concordance. In the literature, it is often approached from a top managerial point of view, whereas it had also to be managed at an operational level through integration into the upstream phases of the ISs design and development. To succeed in, we propose the Extended-Strategic Alignment Model and an exploitation process. They support the systematic study of the mutual influences between business, information technology and product design or manufacturing. The propositions are illustrated on the part monitoring module of the manufacturing workshop from a real small and medium enterprise.
International Journal of Computer Integrated Manufacturing 01/2015; 28(12):1-16. DOI:10.1080/0951192X.2014.964774 · 1.01 Impact Factor
Available from: Fei Tao
- "Due to the complexity of manufacturing process (Staley and Warfield 2007, Gao et al. 2008, Xu et al. 2008, Tan et al. 2008), a submitted manufacturing task (or resource service request) in distributed manufacturing system (Dan et al. 2005, Shu and Wang 2007, Wang et al. 2007, Zhao and Li 2009), especially in manufacturing grid (MGrid) system (Tao et al. 2008a, 2010b, Tan et al. 2010) can be classified into two categories: (a) single resource service request task (SRSRTask), which can be completed by invoking only one resource service and (b) multiple resource service request task (MRSRTask), which has to be implemented by invoking several resource services in a certain sequence (Tao et al. 2008a, 2010b). SRSRTask specifies the system has to search out all the resource serviced qualify for its function requirements and select the optimal one to execute it, namely, resource service optimal-selection (RSOS), while on MRSRTask, the system has to invoke several resource services in a certain sequence and construct a composite resource service (CRS) to execute it (Tao et al. 2008a, 2010b). "
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ABSTRACT: In order to address the resource service optimal-selection (RSOS) and composition problem in manufacturing grid (MGrid) system and provide high-quality service to users, an MGrid RSOS and composition framework (MGrid-RSOSCF) is investigated in this study. The process of RSOS and composition is divided into the following five steps in MGrid-RSOSCF: (1) decomposing the submitted manufacturing task into several subtasks (i.e. single resource service requested task) if the submitted task is a multiple resource service requested task; (2) searching out the qualified resource service for each decomposed subtask and generating the corresponding candidate resource service set; (3) retrieving, evaluating and comparing the quality of service (QoS) for each candidate resource service, and provide data for service optimal-selection and composition –if the submitted task is a single resource service requested task; (4) evaluating synthetically the overall quality of each candidate resource service and ranking them, and selecting the optimal one for the task – if the submitted manufacturing task is an multiple resource service requested task; (5) selecting one candidate resource service from each candidate resource service set and constructing a new composite resource service according to the submitted task requirements, and collecting all the possible resource service composite execution paths (RSCEP) and selecting the optimal paths to execute the task. The proposed MGrid-RSOSCF consists of five layers and each layer provides the corresponding necessary services and algorithms to address one problem mentioned above. The five layers are: (1) T-layer, responsible for MGrid task decomposition; (2) S-layer, responsible for resource service match and search; (3) Q-layer, responsible for QoS processing; (4) O-layer, responsible for evaluating and ranking the candidate resource service and (5) C-layer is responsible for resource service composition and optimal-selection. The case study and comparison of performances of the algorithms demonstrate that the proposed methods are sound on success rate and executing efficiency.
Enterprise Information Systems 05/2012; 6(2):237-264. DOI:10.1080/17517575.2010.540677 · 9.26 Impact Factor
Available from: Robert John
- "As an intelligent computing technique, fuzzy logic has been widely used in various areas (de Carvalho and Costa 2007; Feng and Xu 1999; Gao et al. 2008; John and Innocent 2005; Luo et al. 2007; Zadeh et al. 1975; Xu 1988; Xu 2006; Zhou and Gan 2007; Zhou and Xu 2001), in which fuzzy set and logic based intelligent signal/image processing has received increasingly attention (Pal and King 1981; Li and Yang 1989; Russo 1995, 1998; Farbiz et al. 2000; Tyan and Wang 1993; Chen et al. 1995; Plataniotis et al. 1999; Cheng and Xu 2000, 2002; Cheng and Li 2003; Cheng and Chen 1997; Cheng et al. 1999). One strategy of applying fuzzy techniques to image processing is based on the operation of fuzzy membership functions using a fuzzy relaxation algorithm. "
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ABSTRACT: An improved fuzzy relaxation algorithm for image contrast enhancement is introduced, the relationship between the convergence regions and the parameters in the transformations defined by the algorithm is shown, which is essential to the successful application of this algorithm. Furthermore, in order to measure the quality of an enhanced image, an index of fuzziness is used in this paper to evaluate the performance of the fuzzy relaxation scheme. This extended index of fuzziness is used as a criterion for automatically stopping the fuzzy relaxation process. The analytical result is tested by experiments of image contrast enhancement.
Annals of Operations Research 04/2009; 168:119-131. DOI:10.1007/s10479-008-0363-9 · 1.22 Impact Factor
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