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  • 301.
    Wang, Lihui
    et al.
    University of Skövde.
    Keshavarzmanesh, Shadi
    Feng, Hsi-Yung
    Reconfigurable Facility Layout Design for Job-shop Assembly Operations2011In: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Springer London, 2011, p. 365-384Chapter in book (Refereed)
    Abstract [en]

    Highly turbulent environment of dynamic job-shop operations affects shop-floor layout as well as manufacturing operations. Due to the dynamic nature of layout changes, essential requirements such as adaptability and responsiveness to the changes need to be considered in addition to the cost issues of material handling and machine relocation when reconfiguring a shop floor’s layout. Here, based on the source of uncertainty, the shop-floor layout problem is split into two sub-problems and dealt with by two modules: re-layout and find-route. Genetic algorithm is used where changes cause the entire shop re-layout, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. This chapter reports the latest development to the authors’ previous work.

  • 302. Wang, Lihui
    et al.
    Keshavarzmanesh, Shadi
    Feng, Hsi-Yung
    Buchal, Ralph O.
    Assembly process planning and its future in collaborative manufacturing: a review2009In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 41, no 1-2, p. 132-144Article in journal (Refereed)
  • 303.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Keshavarzmanesh, Shadi
    Feng, Hsi-Yung
    Buchal, R.O.
    Literature Review of Assembly Process Planning and Future Trends to Collaborative Manufacturing2007In: Proceedings of the 17th International Conference on Flexible Automation and Intelligent Manufacturing, 2007, Vol. 2, p. 773-780Conference paper (Refereed)
  • 304. Wang, Lihui
    et al.
    Keshavarzmanesha, Shadi
    Feng, Hsi-Yung
    Design of Adaptive Function Blocks for Dynamic Assembly Planning and Control2008In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 27, no 1, p. 45-51Article in journal (Refereed)
    Abstract [en]

    In today's competitive market, the life cycle of products is shrinking while product variety is growing. The product mix in small batches contributes to manufacturing uncertainty. Meanwhile, ever-growing business globalization and outsourcing also influence manufacturing. In such a dynamic environment, adaptability is of great importance. It is essential to develop a system that enables not only adaptive decision making, but also effective decision execution. Targeting manufacturing uncertainty, this paper reports a new framework and methodology for adaptive assembly planning using function blocks, which can be used directly for assembly control.

  • 305.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Kjellberg, Torsten J. A.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Xi Vincent
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ji, Wei
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Editorial: Smart Manufacturing at CIRP CMS 20182018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 1-2Article in journal (Refereed)
  • 306.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Koh, S.C.L.
    Preface2010In: Enterprise Networks and Logistics for Agile Manufacturing , Springer London, 2010, p. v-viiChapter in book (Refereed)
  • 307.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Koh, S.C.L.
    Web-based Robot Control for e-Operations2007In: Proceedings of the 5th International Conference on Supply Chain Management and Information Systems, 2007Conference paper (Refereed)
  • 308.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Liu, X.Y.
    Proceedings of the Fifth International Workshop on Advanced Manufacturing Technologies: 16 - 18 May 2005, London, Canada2005Book (Refereed)
  • 309.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Liu, Zhenkai
    Shen, Weiming
    Lang, Sherman
    Function-Block Enabled Job Shop Planning and Control with Uncertainty2004Conference paper (Refereed)
    Abstract [en]

    The objective of this research is to develop a methodology of distributed process planning and its execution control for job shop operations. The manufacturing processes of job shop operations are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable events like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuations, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a function block enabled approach is introduced. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

  • 310.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Ma, Ji
    Feng, Hsi-Yung
    An Adaptive and Optimal Setup Planning System2008In: Proceedings of the 4th IEEE Conference on Automation Science and Engineering, Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 67-72, article id 4626414Conference paper (Refereed)
    Abstract [en]

    This paper presents an adaptive setup planning system that considers both the availability and capability of machines on a shop floor. It integrates scheduling functions at setup planning stage, and utilises a two-step decision-making strategy for generating machine-neutral and machine-specific optimal setup plans. The objective is to enable adaptive setup planning for dynamic job shop operations. Particularly, this paper documents basic algorithms and architecture of the setup planning system for dynamically assigned machines. It is then validated through a case study.

  • 311.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Ma, Ji
    Feng, Hsi-Yung
    Web-DPP: A Distributed Process Planning System for Adaptive Machining Operations2009In: Proceedings of the 19th International Conference on Flexible Automation and Intelligent Manufacturing, 2009, p. 186-193Conference paper (Refereed)
    Abstract [en]

    Outsourcing, joint ventures, and cross-border collaborations have led to work environments geographically distributed across organizational and national boundaries. Targeting the distributed environment, the Web has been widely used for development of collaborative applications supporting dispersed working groups and organizations, because of its platform, network and operating system transparency, and its easy-to-use browser interface. The objective of this research is to develop an innovative Web-based distributed process planning system (Web-DPP) for machining operations. Our approach tries to engage a dispersed working group in a collaborative environment, allowing the team members to share real-time information through the Web-DPP. This paper presents both the system design specification and the latest development of this system.

  • 312.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. University of Skövde.
    Ma, Ji
    Feng, Hsi-Yung
    Web-DPP: Towards Job-Shop Machining Process Planning and Monitoring2011In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 6, no 4, p. 337-353Article in journal (Other academic)
    Abstract [en]

    Outsourcing, joint ventures and cross-border collaborations have led to job environments geographically distributed. Targeting the distributed environment, the web has been widely used for developing collaborative applications due to its platform, network and operating system transparency and easy-to-use interface. Utilising the existing infrastructure, the objective of this research is to develop an integrated Web-based Distributed Process Planning (Web-DPP) system for job-shop machining operations and execution monitoring. Our approach engages a dispersed working group in a collaborative environment, allowing team members to share real-time information through the Web-DPP. This paper presents both the system design specification and the latest development.

  • 313.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Mohammed, Abdullah
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    VISION-ASSISTED AND 3D MODEL-BASED REMOTE ASSEMBLY2012In: Proceedings of International Conference on Innovative Design and Manufacturing, 2012Conference paper (Refereed)
  • 314.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Mohammed, Abdullah
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Remote robotic assembly guided by 3D models linking to a real robot2014In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, p. 1-4Article in journal (Refereed)
    Abstract [en]

    This paper presents a 3D model-driven remote robotic assembly system. It constructs 3D models at runtime to represent unknown geometries at the robot side, where a sequence of images from a calibrated camera in different poses is used. Guided by the 3D models over the Internet, a remote operator can manipulate a real robot instantly for remote assembly operations. Experimental results show that the system is feasible to meet industrial assembly requirements with an acceptable level of modelling quality and relatively short processing time. The system also enables programming-free robotic assembly where the real robot follows the human's assembly operations instantly.

  • 315.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Mohammed, Abdullah
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Xi Vincent
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Schmidt, Bernard
    Univ Skövde, Sch Engn Sci, Skövde, Sweden..
    Energy-efficient robot applications towards sustainable manufacturing2018In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 31, no 8, p. 692-700Article in journal (Refereed)
    Abstract [en]

    The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a robot path and based on the inverse kinematics and dynamics of the robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the path. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly. This cloud-based energy-efficient approach for robotic applications can largely enhance the current practice as demonstrated by the results of three case studies, leading towards sustainable manufacturing.

  • 316.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Mohammed, Abdullah
    Wang, Xi Vincent
    Schmidt, Bernard
    Recent Advancements of Smart Manufacturing: An Example of Energy-Efficient Robot2016In: Proceedings of the 26th International Conference on Flexible Automation and Intelligent Manufacturing, 2016, p. 884-892Conference paper (Refereed)
    Abstract [en]

    The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a trajectory and based on the inverse kinematics and dynamics of a robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the trajectory. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly.

  • 317.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council Canada.
    Moriwaki, T.
    A Novel Meshing Algorithm for Dynamic Finite Element Analysis2003In: Precision engineering, ISSN 0141-6359, E-ISSN 1873-2372, Vol. 27, no 3, p. 245-257Article in journal (Refereed)
    Abstract [en]

    This paper describes a new algorithm to handle problems in dynamic finite element analysis and run-time simulation, where mesh re-generation or dynamic adjustment is required. Based on a concept called coded box cell (CBC) substitution, this algorithm can be applied to both initial mesh generation and dynamic mesh adjustment along the border zones of multiple primitives that form an entire model. During the initial mesh generation, appropriate labels are assigned to the nodes and the faces of each finite element. These labels are used to facilitate decision-making in dynamic mesh adjustment. A mapping technique is adopted to transform curved surfaces to plain surfaces for the ease of automatic mesh adjustment while still using the same algorithm. The results of a case study show that a finite element mesh can be adjusted dynamically and locally around its border zone; and the algorithm can be utilized effectively to simulate the thermal behavior of a device under real operating conditions.

  • 318.
    Wang, Lihui
    et al.
    Toyohashi University Technology, Japan.
    Moriwaki, T.
    An Approach to Dynamic Mesh Adjustment for Finite Element Analysis of Machines1996In: Transactions of the North American Manufacturing Research Institution of SME, ISSN 1047-3025, Vol. 24, p. 163-168Article in journal (Refereed)
  • 319.
    Wang, Lihui
    et al.
    Kobe University and Toyohashi University of Technology, Japan.
    Moriwaki, T.
    An Approach to Dynamic Thermal Analysis of Machine Tools1996Conference paper (Refereed)
  • 320.
    Wang, Lihui
    et al.
    Kobe University and Toyohashi University of Technology, Japan.
    Moriwaki, T.
    Modelling System for CAD/CAE of Machine Tools (5th Report, Application of CBC Substitution Approach to Curved Geometries)1996In: Proceedings of 1996 Spring Annual Meeting of Japan Society for Precision Engineering, 1996, p. 435-436Conference paper (Refereed)
  • 321.
    Wang, Lihui
    et al.
    Kobe University and Toyohashi University of Technology, Japan.
    Moriwaki, T.
    Sugimura, N.
    Study on Solid Modelling for Basic Design of Machine Tools1991In: Proceedings of the 66th Annual Meeting of Japan Society of Mechanical Engineers, 1991, p. 263-265Conference paper (Refereed)
  • 322. Wang, Lihui
    et al.
    Nace, Adam
    A sensor-driven approach to Web-based machining2009In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 20, no 1, p. 1-14Article in journal (Refereed)
  • 323. Wang, Lihui
    et al.
    Nace, Adam
    Web-based Collaborative Planning and Control in a Wise-ShopFloor Environment2006Conference paper (Refereed)
  • 324.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Nace, Adam
    Orban, Peter
    Remote Device Control via Data Streaming and 3D Models2005Conference paper (Refereed)
  • 325.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada.
    Nace, Adam
    Orban, Peter
    Web-based Rapid Machining in Distributed Manufacturing Environment2006In: 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006, Institute of Electrical and Electronics Engineers (IEEE), 2006, p. 441-446Conference paper (Refereed)
    Abstract [en]

    In the area of discrete part machining, companies in job shop operations are challenged frequently by the variety of products in small batch sizes. These challenges become even more critical with the manufacturing decentralization and outsourcing, where design offices and machining shop floors may not be co-located. To remain competitive in a global market, collaborative manufacturing is the norm for such companies. The objective of this research is to develop a framework named Wise-ShopFloor as well as the enabling technologies for collaborative manufacturing in a decentralized environment. Particularly, this paper presents our latest development on Web-based rapid machining. Once a product design is given, its process plan and NC codes are generated by using a distributed process planning (DPP) system. The NC codes are then used for remote machining through a standard Web browser and a Java GUI interface running inside of the browser. In this paper, the focus is given to the concept, architecture and prototype implementation of the enabling technology. A case study of a test part machining on a 5-axis milling machine is also completed for testing and validation. It is expected that the developed baseline technology can be applied to design verification through rapid machining and real part production in distributed manufacturing environment.

  • 326.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Nee, Andrew Y.C.
    Collaborative Design and Planning for Digital Manufacturing: 2009Collection (editor) (Refereed)
  • 327.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Nee, Andrew Y.C.
    Preface2009In: Collaborative Design and Planning for Digital Manufacturing, Springer London, 2009, p. v-viiChapter in book (Refereed)
  • 328. Wang, Lihui
    et al.
    Nee, A.Y.C.
    Advanced Technologies for Collaborative Manufacturing2008In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 19, no 6, p. 623-624Article in journal (Refereed)
  • 329.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Ng, Amos H. C.Deb, Kalyanmoy
    Multi-objective Evolutionary Optimisation for Product Design and Manufacturing2011Collection (editor) (Refereed)
  • 330.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Ng, Amos H. C.
    Deb, Kalyanmoy
    Preface2011In: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Springer London, 2011, p. v-viiiChapter in book (Other academic)
  • 331.
    Wang, Lihui
    et al.
    Kobe University and Toyohashi University of Technology, Japan.
    Norrie, D.H.
    Process Planning and Control in a Holonic Manufacturing Environment2001In: Journal of Applied Systems Studies, Vol. 2, no 1, p. 106-126Article in journal (Refereed)
  • 332.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Orban, Peter
    Cunningham, A.
    Lang, Sherman Y. T.
    An Enabling Technology for Remote Real-Time CNC Machining2003In: Proceedings of the 13th International Conference on Flexible Automation and Intelligent Manufacturing, 2003, Vol. 1, p. 182-194Conference paper (Refereed)
  • 333.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Orban, Peter
    Cunningham, Andrew
    Lang, Sherman
    Remote Real-Time CNC Machining for Web-Based Manufacturing2004In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 20, no 4, p. 563-571Article in journal (Refereed)
  • 334.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada.
    Sams, R.
    Verner, M.
    Xi, F.
    Integrating Java 3D Model and Sensor Data for Remote Monitoring and Control2003In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 19, no 1-2, p. 13-19Article in journal (Refereed)
    Abstract [en]

    This paper presents a novel approach and a framework for web-based systems that can be used in distributed manufacturing environments. A prototype is developed to demonstrate its application to remote monitoring and control of a Tripod - one type of parallel kinematic machine. It utilizes the latest Java technologies (Java 3D and Java Servlets) as enabling technologies for system implementation. Instead of using a camera for monitoring, the Tripod is modeled using Java 3D with behavioral control nodes embedded. Once downloaded from its server, the 3D model behaves in the same way of its counterpart at client side. It remains alive by connecting with the Tripod through message passing, e.g., sensor signals and control commands transmissions. The goal of this research is to eliminate network traffic with Java 3D models, while still providing users with intuitive environments. In the near future, open-architecture devices will be web-ready having Java virtual machines embedded. This will make the approach more effective for web-based device monitoring and control.

  • 335.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Sams, R.
    Verner, M.
    Xi, F.
    Web-Based and Sensor-Driven Device Monitoring and Control Using Java 3D2002In: Proceedings of 12th International Conference on Flexible Automation and Intelligent Manufacturing, 2002, p. 772-781Conference paper (Refereed)
  • 336.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Schmidt, B.
    Nee, A.Y.C.
    Vision-guided active collision avoidance for human-robot collaborations2013In: Manufacturing Letters, ISSN 2213-8463, Vol. 1, no 1, p. 5-8Article in journal (Refereed)
    Abstract [en]

    This paper reports a novel methodology of real-time active collision avoidance in an augmented environment, where virtual 3D models of robots and real camera images of operators are used for monitoring and collision detection. A prototype system is developed and linked to robot controllers for adaptive robot control, with zero robot programming for end users. According to the result of collision detection, the system can alert an operator, stop a robot, or modify the robot's trajectory away from an approaching operator. Through a case study, it shows that this method can be applied to real-world applications such as human-robot collaborative assembly to safeguard human operators.

  • 337.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Schmidt, Bernard
    Givehchi, Mohammad
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Adamson, Göran
    Robotic assembly planning and control with enhanced adaptability through function blocks2015In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 77, no 1-4, p. 705-715Article in journal (Refereed)
    Abstract [en]

    Manufacturing companies today need to maintain a high level of flexibility and adaptability to deal with uncertainties on dynamic shop floors, including, e.g. cutting tool shortage, part supply interruption, urgent job insertion or delay and machine unavailability. Such uncertainties are characteristic in component assembly operations. Addressing the problem, we propose a new method using function blocks to achieve much improved adaptability in assembly planning and robot control. In this paper, we propose to use event-driven function blocks for robotic assembly, aiming to plan trajectory and execute assembly tasks in real time. It is envisioned that this approach will achieve better adaptability if applied to real-world applications.

  • 338.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada .
    Shen, W.
    J3D-based Monitoring and Control for e-ShopFloor2006In: International Journal of Manufacturing Technology and Management (IJMTM), ISSN 1368-2148, E-ISSN 1741-5195, Vol. 8, no 1-3, p. 126-140Article in journal (Refereed)
    Abstract [en]

    The objective of our research is to develop a web-based collaborative framework called web-based integrated sensor-driven e-ShopFloor (Wise-ShopFloor). The framework is designed to use the popular client–server architecture and View-Control-Model (VCM) design pattern with secure session control. The proposed solutions for meeting both the user requirements demanding rich data sharing and the real-time constraints are: (1) using interactive scene graph-based Java 3D models instead of bandwidth-consuming camera images for shop floor visualisation; (2) transmitting only the sensor data and control commands between models and devices for monitoring and control; (3) providing clients with user-friendly GUI for shop floor navigation and (4) deploying control logics in an application server. This paper presents the basis of the framework for building web-based collaborative systems that can be used for web-based manufacturing. A proof-of-concept prototype system is developed on top of the framework to demonstrate one of its potential applications on shop floor monitoring and control.

  • 339.
    Wang, Lihui
    et al.
    Integrated Manuf. Technol. Inst., Nat. Res. Council of Canada.
    Shen, W.
    Lang, S.
    Wise-ShopFloor: A Web-Based and Sensor-Driven Shop Floor Environment2002In: Proceedings of the Seventh International Conference on CSCW in Design, 2002, Vol. 7, p. 413-418Conference paper (Refereed)
    Abstract [en]

    Targeting the remote monitoring and control of shop floors, this paper proposes a new framework called Wise-ShopFloor Web-based integrated sensor-driven e-Shop Floor that can be applied to distributed manufacturing environments. It utilizes the latest Java technologies (Java 3D and Java Servlet) as enabling technologies for system implementation. This web-based framework allows users to monitor and control a distant shop floor device using Java 3D models instead of cameras. The behavior of a 3D model is driven by sensor signals of its physical counterpart. The goal of this research work is to eliminate network traffic, while still providing end users with intuitive environments.

  • 340.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Shen, Weiming
    A Web-Based Approach to Real-Time Machine Condition Monitoring and Control2005In: Manufacturing Engineering and Materials Handling, 2005 Pts A and B, The American Society of Mechanical Engineers , 2005, Vol. 16, p. 641-646Conference paper (Refereed)
    Abstract [en]

    The objective of this research is to develop a web-based approach to remote machine condition monitoring and control enabled by Java technologies and based on publish-subscribe design pattern. On top of a Wise-ShopFloor framework (W eb-based i ntegrated s ensor-driven e-ShopFloor ), this system can serve real-time data from bottom up and can function as a constituent component of e-manufacturing, particularly for web-based collaborative manufacturing. It is designed to use the popular client-server architecture, VCM (view-control-model) design pattern, and publish-subscribe design pattern for secure device control and efficient machine condition monitoring. This paper presents the basis of the developed technology for building a web-based monitoring and control system that can be easily integrated to the e-manufacturing paradigm. A case study of a tripod parallel kinematic machine is carried out to demonstrate the effectiveness and validate our approach to web-based real-time machine condition monitoring and remote control for collaborative manufacturing.

  • 341.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Shen, Weiming
    Agent-based Decision-Making for Distributed Process Planning2001In: Proceedings of the 3rd World Manufacturing Congress, 2001Conference paper (Refereed)
  • 342. Wang, Lihui
    et al.
    Shen, Weiming
    DPP: An Agent-Based Approach for Distributed Process Planning2003In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 14, no 5, p. 429-439Article in journal (Refereed)
    Abstract [en]

    A changing shop floor environment characterized by larger variety of products in smaller batch sizes requires creating an intelligent and dynamic process planning system that is responsive and adaptive to the rapid adjustment of production capacity and functionality. In response to the requirement, this research proposes a new methodology of distributed process planning (DPP). The primary focus of this paper is on the architecture of the new process planning approach, using multi-agent negotiation and cooperation. The secondary focus is on the other supporting technologies such as machining feature-based planning and function block-based control. Different from traditional methods, the proposed approach uses two-level decision-making - supervisory planning and operation planning. The former focuses on product data analysis, machine selection, and machining sequence planning, while the latter considers the detailed working steps of the machining operations inside of each process plan and is accomplished by intelligent NC controllers. By the nature of decentralization, the DPP shows promise of improving system performance within the continually changing shop floor environment.

  • 343.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Shen, Weiming
    Preface2007In: Process Planning and Scheduling for Distributed Manufacturing, Springer London, 2007, p. v-viiChapter in book (Refereed)
  • 344.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada.
    Shen, Weiming
    Process Planning and Scheduling for Distributed Manufacturing2007Collection (editor) (Refereed)
  • 345.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada .
    Shen, Weiming
    Hao, Qi
    An Overview of Distributed Process Planning and Its Integration with Scheduling2006In: International journal of computer applications in technology, ISSN 0952-8091, E-ISSN 1741-5047, Vol. 26, no 1-2, p. 3-14Article, review/survey (Refereed)
    Abstract [en]

    Process planning and scheduling are considered as two separate and distinct phases in manufacturing. Traditional approaches to these problems do not consider the constraints of both domains simultaneously and can only result in sub-optimal solutions. This separation becomes a barrier to further improving manufacturing performance. Most process planning and scheduling systems are off-line and centralized. The process plans generated off-line may become invalid at the time of plan execution. On the other hand, scheduling based on rigid process plans may have already lost the optimal options. Today, there is an increasing need for the integration of process planning and scheduling to generate more realistic and practical solutions. This paper provides a literature review on the integration of process planning and scheduling, particularly on agent-based approaches. It is followed by an overview of our approach toward distributed process planning and scheduling. The paper is finally concluded with future research opportunities.

  • 346. Wang, Lihui
    et al.
    Shen, Weiming
    Lang, Sherman
    Wise-ShopFloor: a web-based and sensor-driven shop floor environment2004In: Journal of Computing and Information Science in Engineering, ISSN 1530-9827, E-ISSN 1944-7078, Vol. 4, no 1, p. 56-60Article in journal (Refereed)
  • 347.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Shen, Weiming
    Lang, Sherman Y. T.
    A Web-based Digital Shop Floor for Remote Monitoring and Control2002In: Proceedings of 2002 NRC-NSC Joint Workshop on Advanced Manufacturing, 2002, p. 303-312Conference paper (Refereed)
  • 348.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Shen, Weiming
    Lang, Sherman Y. T.
    Research on Advanced Distributed Planning and Control for Manufacturing Shop Floors2004In: Proceedings of Advanced Manufacturing Technologies (AMT) 2004: 01 June 2004, London, Canada, 2004Conference paper (Refereed)
  • 349.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Shen, Weiming
    Li, Xiaoqian
    Lang, Sherman
    A Sensor-Driven Approach to Distributed Shop Floor Planning and Control2003In: American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, 2003, Vol. 72, p. 1175-1182Conference paper (Refereed)
    Abstract [en]

    The objective of this research is to develop methodology and framework for distributed shop floor planning, real-time monitoring, and remote device control supported by intelligent sensors. An intelligent sensor serves runtime data from bottom up to facilitate high-level decision-making. It assures that correct decisions are made in a timely manner, if compared with the best estimations of engineers. Being an adaptive system, a so-designed framework will improve the flexibility and dynamism of shop floor operations, and provide a seamless integration among process planning, resource scheduling, job execution, process monitoring, and device control. This paper presents principles of the methodology, details in architecture design, module interactions, information flow, and a proof-of-concept prototype implementation.

  • 350.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada.
    Shen, Weiming
    Xie, H.
    Neelamkavil, J.
    Pardasani, A.
    Collaborative Conceptual Design: A State-of-the-Art Survey2000In: Proceedings of the International Conference on Computer Supported Cooperative Work in Design (CSCWD 2000), 2000, p. 204-209Conference paper (Refereed)
456789 301 - 350 of 447
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