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ABSTRACT: Automotive part and accessory manufacturers (APAMs) at the lower tiers of automotive vertical supply chains have been responding to major initiatives taken by leading vehicle assemblers in adopting RFID (radio frequency identification) and ubiquitous computing technologies to alleviate their manufacturing systems. RFID-enabled real-time traceability and visibility facilitate and enhance the implementation of advanced strategies such as just-in-time (JIT) lean/responsive manufacturing and mass customisation (MC). This paper reports on findings gained from a series of industrial field and pilot studies conducted within collaborating companies. Being typically small and medium sized, APAMs are faced with business and technical challenges that are summarised by the so-called ‘three high problems’, namely high cost, high risk and high level of technical skills. This research takes a more cost-effective pragmatic approach to overcome the ‘three high problems’ by sharing out the problems among APAMs while taking a longer-term, expensive and lengthy, approach to absolutely reduce the problems. The sharing approach requires the establishment of an innovative service-oriented framework, abbreviated AUTOPS, based on the Product Service Systems (PSS) business model. RFID hardware devices are innovated into gateways as hardcore products to formulate a PSS. RFID-enabled real-time services are deployed at a common platform across members of an APAMs alliance. AUTOPS facilities are shared by APAM alliance members to reduce the start-up investment costs, reduce the level of required specialist skills, speed up installation processes and streamline maintenance services, and improve the reliability of the RFID gateway services.
International Journal of Production Research 07/2012; 50(14):3821-3840. · 1.12 Impact Factor
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ABSTRACT: Manufacturing resource configuration (MRC) plays a very important role in an e-Manufacturing system. Higher requirements for Manufacturing resource configuration (MRC) plays a very important role in an e-Manufacturing system. Higher requirements for
optimal configuration under online resource visibility and traceability have led to two main challenges. One is that more optimal configuration under online resource visibility and traceability have led to two main challenges. One is that more
features of manufacturing tasks affecting the optimization results should be taken into consideration when establishing the features of manufacturing tasks affecting the optimization results should be taken into consideration when establishing the
MRC mathematical model for a manufacturing cell. The other is that manufacturing information should be given equal attention MRC mathematical model for a manufacturing cell. The other is that manufacturing information should be given equal attention
as MRC to realize real-time visibility and traceability of the resulting manufacturing cells. This paper presents a comprehensive as MRC to realize real-time visibility and traceability of the resulting manufacturing cells. This paper presents a comprehensive
mathematical model which considers more practical features of manufacturing tasks (e.g. batch volume and alternative processing mathematical model which considers more practical features of manufacturing tasks (e.g. batch volume and alternative processing
routes) for manufacturing cell formation. This model adopts a fuzzy clustering method to group the manufacturing tasks and routes) for manufacturing cell formation. This model adopts a fuzzy clustering method to group the manufacturing tasks and
machines. Moreover, it is enabled by a smart equipment model to realize the configurable model of real-time manufacturing machines. Moreover, it is enabled by a smart equipment model to realize the configurable model of real-time manufacturing
information and corresponding visualization and tracing methods. A case study is given to demonstrate the proposed models information and corresponding visualization and tracing methods. A case study is given to demonstrate the proposed models
and methods. and methods.
Keywordse-Manufacturing-Traceability and visibility-RFID-e-Manufacturing cell-Real-time manufacturing Keywordse-Manufacturing-Traceability and visibility-RFID-e-Manufacturing cell-Real-time manufacturing
Journal of Intelligent Manufacturing 04/2012; · 0.86 Impact Factor
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ABSTRACT: To track and control the changes of process quality attributes in multistage machining processes (MMPs), an e-quality control
(e-QC) model is proposed. The e-QC model is defined as a quality information service node with e-formalizing technology, whose
input/output and intermediate process (that is IPO) are known to other nodes, and its implemention in MMPs is provided. In
order to establish the e-QC model, a measuring network is constructed to acquire the original quality data, and the changes
of process quality attributes are monitored and diagnosed by the integrated quality analysis tools attached to the e-QC, which
can be tracked by information template network in real time. Furthermore, a hierarchical control method is adopted to coordinate
e-QCs, in which the quality loss and adjusting cost are used to quantify the opportunities for e-QCs to improve process quality.
At last, a prototype is developed to verify the proposed methods.
Science in China Series E Technological Sciences 04/2012; 51(12):2178-2194. · 1.02 Impact Factor
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International Journal of Services Operations and Informatics 10/2011; 6:30-44.
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Int. J. Computer Integrated Manufacturing. 01/2011; 24:493-505.
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Int. J. Computer Integrated Manufacturing. 01/2011; 24:431-445.
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Int. J. Computer Integrated Manufacturing. 01/2011; 24:457-470.
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Int. J. Computer Integrated Manufacturing. 01/2011; 24:375-377.
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ABSTRACT: Recent developments in wireless technologies have created opportunities for developing next-generation manufacturing systems with real-time traceability, visibility and interoperability in shop floor planning, execution and control. This paper discusses how to deploy wireless and intelligent technologies to convert physical objects in manufacturing systems into smart objects to introduce and improve the interoperability and visibility between them and thus with manufacturing decision support systems. A reference architecture for wireless manufacturing (WM) is proposed where three types of smart objects are identified. At the same time, the concept of smart object agent (SOA) is presented and the corresponding framework of smart objects management system (SOMS) is constructed. Under this framework and the concept of SOA, a SOA-based WM environment is studied and demonstrated using a near real-life simplified product assembly line for the collection and synchronization of the real-time field data from manufacturing workshops.
Mechatronics and Automation (ICMA), 2010 International Conference on; 09/2010
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ABSTRACT: Automotive part and accessory manufacturers (APAMs) at the lower tiers of the automotive vertical have been following leading vehicle assemblers in adopting RFID (Radio Frequency Identification) and ubiquitous computing technologies, aiming to alleviate their advanced manufacturing systems. RFID-enabled real-time traceability and visibility facilitate the implementation of advanced strategies such as Just In-Time (JIT) lean/responsive manufacturing and mass customization (MC). Being typically small and medium sized, however, APAMs are faced up with business and technical challenges which are summarized by the so-called “three high problems”. They are high cost, high risk and high level of requirement for technical skills. Based on a series of industrial field studies, this paper establishes an innovative service-oriented business model for overcoming the “three high Problems” based on the concept of Product Service Systems (PSS) and RFID gateway technology.
Computers and Industrial Engineering (CIE), 2010 40th International Conference on; 08/2010
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The 20th International Conference on Flexible Automation and Intelligent Manufacturing - FAIM 2010, Hayward, CA, USA; 07/2010
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Int. J. Computer Integrated Manufacturing. 01/2010; 23:101-112.
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IJMR. 01/2010; 5:74-86.
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ABSTRACT: It is difficult to make optimal process planning for polishing product because of the complex processes and the multi-criteria, attributes and vagueness of process parameters. To solve this problem, this paper combines the methodologies of case based reasoning (CBR) and fuzzy set theory (FST) to support process planners in planning processes and making decisions effectively for polishing product. Moreover, various mathematical models are designed and integrated to the Web based portal system (WBPS) which supports the optimization computation of process parameter settings and case reasoning for polishing product. Finally, some cooker samples from the collaborating company have been collected to demonstrate the effectiveness of case based process planning (CBPP) model.
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on; 01/2009
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01/2009
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01/2009
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01/2009
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01/2009
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ABSTRACT: Currently, blogs are becoming more popular and in fact has formed a community where all kinds of users can easily share, look
for and reuse the useful knowledge and experiences with others. Therefore, a blogs-based knowledge management framework is
proposed in this paper to manage quality control knowledge in the context of machining processes. Around how to enable the
knowledge blogs, several methods including the context-based quality knowledge classification and representation, ontology-based
quality knowledge model and blog-based quality knowledge management etc, are presented. In order to verify the methodology,
a running example is given.
12/2007: pages 273-281;
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Concurrent Engineering: R&A. 01/2002; 10:267-277.
