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  • 201. Schmidt, Bernard
    et al.
    Galar, Diego
    Wang, Lihui
    University of Skövde, School of Engineering Science University of Skövde, The Virtual Systems Research Centre. KTH.
    Asset Management Evolution: from Taxonomies toward Ontologies2015Conference paper (Refereed)
    Abstract [en]

    This paper addresses the evolution that can be observed in Asset Management in modelling approach. Most traditional Condition Monitoring systems use hierarchical representations of monitored the integration of data from disparate source toward context awareness and Big Data utilization there is a need to include and model more complicated dependencies than hierarchical. Ontology based modelling is gaining recently on popularity in the domain of Condition Monitoring and Asset Management.

  • 202. Schmidt, Bernard
    et al.
    Galar, Diego
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Big Data in Maintenance Decision Support Systems: Aggregation of Disparate Data Types2016In: Euromaintenance 2016 Conference Proceedings, 2016, p. 503-512Conference paper (Refereed)
    Abstract [en]

    There is need to obtain reliable information on current and future asset health status to support maintenance decision making process. Within maintenance two main sources of data can be distinguished: Computerized Maintenance Management System (CMMS) for asset registry and maintenance work records; and Condition Monitoring Systems (CM) for direct asset components health state monitoring. There are also other sources of information like SCADA (Supervisory Control and Data Acquisition) for process and control monitoring that can provide additional contextual information leading to better decision making. However data produced acquired and processed and in those system are of disparate types, nature and granularity. This variety includes: event data about failures or performed maintenance work mostly descriptions in unstructured natural language; process variables obtained from different types of sensors and different physical variables from transducers, acquired with different sampling frequencies. Indeed, condition monitoring data are so disparate in nature that maintainers deal with scalars (temperature) through waveforms (vibration) to 2D thermography images and 3D data from machine geometry measuring. Integration and aggregation of those data is not a trivial task and requires modelling of knowledge about those data types, their mutual dependencies and dependencies with monitored processes. There are some attempts of standardisation that try to enable integration of CBM data from different sources. The conversion of those amount of data in meaningful data sets is required for better machine health assessment and tracking within the specific operational context for the asset. This will also enhance the maintenance decision support system with information on how different operational condition can affect the reliability of the asset for concrete contextual circumstances.

  • 203. Schmidt, Bernard
    et al.
    Galar, Diego
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Context Awareness in Predictive Maintenance2016In: Current Trends in Reliability, Availability, Maintainability and Safety, Springer, 2016, p. 197-216Chapter in book (Refereed)
    Abstract [en]

    Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance approach utilizes the condition monitoring (CM) data to predict the future machine conditions and makes decisions upon this prediction. Recent development in CM leads to context aware approach where in parallel with CM measurements also data and information related to the context are gathered. Context could be operational condition, history of machine usage and performed maintenance actions. In general more obtained information gives better accuracy of prediction. It is important to track operational context in dynamically changing environment. Today in manufacturing we can observe shift from mass production to mass customisation. This leads to changes from long series of identical products to short series of different variants. Therefore implies changing operational conditions for manufacturing equipment. Moreover, where asset consist of multiple identical or similar equipment the context aware method can be used to combine in reliable way information. This should allow to increase accuracy of prediction for population as a whole as well as for each equipment instances. Same of those data have been already recorded and stored in industrial IT systems. However, it is distributed over different IT systems that are used by different functional units (e.g. maintenance department, production department, quality department, tooling department etc.). This paper is a conceptual paper based on initial research work and investigation in two manufacturing companies from automotive industry.

  • 204. Schmidt, Bernard
    et al.
    Sandberg, Ulf
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Next Generation Condition Based Predictive Maintenance2014Conference paper (Refereed)
    Abstract [en]

    Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and make decisions upon this prediction. The main aim of the presented research is to achieve an improvement in condition based Predictive Maintenance through the Cloud-based approach with usage of the largest information content possible. The objective of this paper is to outline the first steps of a framework to handle and process maintenance, production and factory related data from the first life-cycle phase to the operation and maintenance phase.

  • 205. Schmidt, Bernard
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Active Collision Avoidance for Human-Robot Collaborative Manufacturing2012In: Proceedings of the 5th International Swedish Production Symposium, SPS 12, 6-8 November 2012, Linköping, Sweden, The Swedish Production Academy , 2012, p. 81-86Conference paper (Refereed)
  • 206. Schmidt, Bernard
    et al.
    Wang, Lihui
    Automatic Robot Calibration via a Global-Local Camera System2012Conference paper (Refereed)
    Abstract [en]

    In a human-robot collaborative manufacturing application where working object can be placed in an arbitrary position, there is a need to calibrate the actual position of the work object. This paper presents an approach for automatic calibration in flexible robotic systems. It consists of two subsystems: a global positioning system based on fixed cameras mounted around robotic workspace, and a local positioning system based on the camera mounted on the robot arm. The aim of the global positioning is to detect work object in working area and roughly estimate the position, whereas the local positioning is to define the object frame according to the 3D position and orientation of the work object with higher accuracy. For object detection and localization, coded visual markers have been utilized. For each object, several markers have been used to increase the robustness and accuracy of localization and calibration procedure. This approach can be used in robotic welding or assembly applications.

  • 207. Schmidt, Bernard
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Automatic work objects calibration via a global-local camera system2014In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 30, no 6, p. 678-683Article in journal (Refereed)
    Abstract [en]

    In a human robot collaborative manufacturing application where a work object can be placed in an arbitrary position, there is a need to calibrate the actual position of the work object. This paper presents an approach for automatic work-object calibration in flexible robotic systems. The approach consists of two modules: a global positioning module based on fixed cameras mounted around robotic workspace, and a local positioning module based on the camera mounted on the robot arm. The aim of the global positioning is to detect the work object in the working area and roughly estimate its position, whereas the local positioning is to define an object frame according to the 3D position and orientation of the work object with higher accuracy. For object detection and localization, coded visual markers are utilized. For each object, several markers are used to increase the robustness and accuracy of the localization and calibration procedure. This approach can be used in robotic welding or assembly applications.

  • 208. Schmidt, Bernard
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Cloud-based Predictive Maintenance2015In: Proceedings of the 25th International Conference on Flexible Automation and Intelligent Manufacturing, 2015, Vol. 1, p. 224-231Conference paper (Refereed)
    Abstract [en]

    Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and makes decisions upon this prediction. The main aim of the presented research is to achieve an improvement in Predictive Condition-based Maintenance Decision Making through the Cloud-based approach with usage of wide information content. For the improvement it is crucial to identify and track not only condition related data but also context data. Context data allows better utilisation of condition monitoring data as well as analysis based on a machine population. The objective of this paper is to outline the first steps of a framework and methodology to handle and process maintenance, production and factory related data from the first lifecycle phase to the operation and maintenance phase.

  • 209. Schmidt, Bernard
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde, Sweden.
    Depth camera based collision avoidance via active robot control2014In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 33, no 4, p. 711-718Article in journal (Refereed)
    Abstract [en]

    A new type of depth cameras can improve the effectiveness,of safety monitoring in human-robot collaborative environment. Especially on today's manufacturing shop floors, safe human-robot collaboration is of paramount importance for enhanced work efficiency, flexibility, and overall productivity. Within this context, this paper presents a depth camera based approach for cost-effective real-time safety monitoring of a human-robot collaborative assembly cell. The approach is further demonstrated in adaptive robot control. Stationary and known objects are first removed from the scene for efficient detection of obstacles in a monitored area. The collision detection is processed between a virtual model driven by real sensors, and 3D point cloud data of obstacles to allow different safety scenarios. The results show that this approach can be applied to real-time work cell monitoring.

  • 210. Schmidt, Bernard
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Predictive Maintenance: Literature Review and Future Trends2015Conference paper (Refereed)
    Abstract [en]

    In manufacturing industry machines and systems become more advanced and complicated. Proper maintenance is crucial to ensure productivity, product quality, on-time delivery, and safe working environment. Recently, the importance of the predictive maintenance has been growing rapidly. Well applied predictive maintenance can be in many cases more cost effective than traditional corrective and preventive approaches to maintenance. Targeting this vibrant field, this paper reviews the literature of Predictive Maintenance (PdM). Published literature is systematically categorised and then methodically reviewed and analysed. Methodology for data acquisition, feature extraction, failure detection and prediction are presented. The connection between Maintenance field and Information Fusion has been highlighted. Statistical analysis based on Elsevier’s Scopus abstract and citation database has been performed. Various emerging trends in the field of Predictive Maintenance are identified to help specifying gaps in the literature and direct research efforts.

  • 211. Schmidt, Björn
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Cloud-enhanced predictive maintenance2018In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 99, no 1-4, p. 5-13Article in journal (Refereed)
    Abstract [en]

    Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and makes decisions upon this prediction. The main aim of the present research is to achieve an improvement in predictive condition-based maintenance decision making through a cloud-based approach with usage of wide information content. For the improvement, it is crucial to identify and track not only condition related data but also context data. Context data allows better utilisation of condition monitoring data as well as analysis based on a machine population. The objective of this paper is to outline the first steps of a framework and methodology to handle and process maintenance, production, and factory related data from the first lifecycle phase to the operation and maintenance phase. Initial case study aims to validate the work in the context of real industrial applications.

  • 212. Shen, W.
    et al.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council of Canada .
    Hao, Q.
    Agent-Based Distributed Manufacturing Process Planning and Scheduling: A State-of-the-Art Survey2006In: IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews, ISSN 1094-6977, E-ISSN 1558-2442, Vol. 36, no 4, p. 563-577Article in journal (Refereed)
    Abstract [en]

    Manufacturing process planning is the process of selecting and sequencing manufacturing processes such that they achieve one or more goals and satisfy a set of domain constraints. Manufacturing scheduling is the process of selecting a process plan and assigning manufacturing resources for specific time periods to the set of manufacturing processes in the plan. It is, in fact, an optimization process by which limited manufacturing resources are allocated over time among parallel and sequential activities. Manufacturing process planning and scheduling are usually considered to be two separate and distinct phases. Traditional optimization approaches to these problems do not consider the constraints of both domains simultaneously and result in suboptimal solutions. Without considering real-time machine workloads and shop floor dynamics, process plans may become suboptimal or even invalid at the time of execution. Therefore, there is a need for the integration of manufacturing process-planning and scheduling systems for generating more realistic and effective plans. After describing the complexity of the manufacturing process-planning and scheduling problems, this paper reviews the research literature on manufacturing process planning, scheduling as well as their integration, particularly on agent-based approaches to these difficult problems. Major issues in these research areas are discussed, and research opportunities and challenges are identified

  • 213. Shen, Weiming
    et al.
    Brooks, Christopher
    Li, Yinsheng
    Lang, Sherman Y. T.
    Wang, Lihui
    National Research Council Canada .
    XML-Based Message Services for Internet Based Intelligent Shop Floors2001In: Proceedings Volume 4566, Internet-based Enterprise Integration and Management, SPIE - International Society for Optical Engineering, 2001, Vol. 4566, p. 135-144Conference paper (Refereed)
    Abstract [en]

    Previously, we reported some preliminary results of our long-term research work on iShopFloor (Intelligent Shop Floor). This paper reports some of our recent work on the implementation of XML-based message services for Internet-based intelligent shop floors. The objective is to investigate XML for message exchange among Internet-based shop floor devices that are represented by intelligent agents. The paper discusses the advantages of using XML for message services and presents our initial implementation. From this implementation, we have seen some advantages, including: (1) simplification and standardization of message services in Internet-based intelligent shop floors; (2) facilitation of the integration of an agent-based scheduling system with other intelligent shop floor systems, including Web-based shop floor monitoring and control systems, etc.

  • 214. Shen, Weiming
    et al.
    Ghenniwa, H.
    Wang, Lihui
    National Research Council of Canada.
    Agent-Supported Web-based Cooperative Design2003In: Agent Supported Cooperative Work, Boston: Kluwer Academic Publishers, 2003, p. 231-253Chapter in book (Refereed)
  • 215. Shen, Weiming
    et al.
    Lang, Sherman Y. T.
    Korba, L.
    Wang, Lihui
    National Research Council, Canada.
    Wong, B.
    Reference Architecture for Internet Based Intelligent Shop Floors2000In: Proceedings of SPIE Conference on Network Intelligence: Internet-Based Manufacturing, SPIE - International Society for Optical Engineering, 2000, Vol. 4208, p. 63-72Conference paper (Refereed)
    Abstract [en]

    Global competitiveness is causing manufacturing companies to change the way they do business. New ways of viewing markets and competition have led the movement from legacy information systems to Internet-based environments. Success in manufacturing depends on being able to respond quickly, accurately and consistently to the changing needs of the marketplace. The need to control and optimize processes and to vary the necessary parameters to obtain the best product on time and on specification has fostered a change from centralized or hierarchical to distributed manufacturing control systems. This paper proposes a reference architecture for Internet-based intelligent shop floors. Internet, Web technologies, and intelligent agents are the key technologies adopted in this approach. The reference architecture provides the framework for components of a complex control system to work together as a whole rather than as a disjoint set. It encompasses both information architecture and integration methodologies. The primary aspects of the reference architecture under consideration include: (1) statement of scope and purpose; (2) domain analysis; (3) architectural specification; and (4) methodology for architectural development and system design.

  • 216. Shen, Weiming
    et al.
    Lang, Sherman Y. T.
    Wang, Lihui
    iShopfloor: An Internet-enabled agent-based intelligent shop floor2005In: IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews, ISSN 1094-6977, E-ISSN 1558-2442, Vol. 35, no 3, p. 371-381Article in journal (Refereed)
  • 217. Shen, Weiming
    et al.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council Canada.
    Web-Based and Agent-Based Approaches for Collaborative Product Design: An Overview2003In: International journal of computer applications in technology, ISSN 0952-8091, E-ISSN 1741-5047, Vol. 16, no 2/3, p. 103-112Article, review/survey (Refereed)
    Abstract [en]

    A number of emerging technologies including CSCW, distributed objects, intelligent agents, internet and web based technologies have been proposed to implement collaborative product design systems, while web-based and agent-based approaches are dominant in this area. This paper reviews the state-of-the-art of applications of the Web and Agent technologies to collaborative product design, and discusses the opportunities as well as challenges in this exciting research area.

  • 218. Shen, Weiming
    et al.
    Wang, Lihui
    National Research Council, Canada.
    Hao, Qi
    Agent-Based Integration of Manufacturing Process Planning and Scheduling: A Review2004In: Proceedings of the 14th International Conference on Flexible Automation and Intelligent Manufacturing, 2004, Vol. 2, p. 906-914Conference paper (Refereed)
  • 219. Shen, Weiming
    et al.
    Wang, Lihui
    National Research Council, Canada.
    Lang, Sherman Y. T.
    iShopFloor & eShopFloor: Distributed Management, Monitoring and Control of Manufacturing Shop Floors2003Conference paper (Refereed)
  • 220. Shen, Weiming
    et al.
    Wang, Lihui
    National Research Council of Canada.
    Lang, Sherman Y. T.
    XML-based Message Services for Internet-enabled, Agent-based, Intelligent Shop Floors2005In: International Journal of Agile Manufacturing, ISSN 1536-2639, Vol. 8, no 1, p. 27-42Article in journal (Refereed)
    Abstract [en]

    During the past decade, the Internet, Web and intelligent agents have been used in attempts to implement distributed intelligent manufacturing systems. Network communication and message services are important aspects for such systems. This paper first introduces a new concept called iShopFloor-an intelligent shop floor based on the Internet, Web and agent technologies. The paper then reports some of our recent work on the implementation of XML-based message services for Internet-enabled, agent-based, intelligent shop floors. The objective is to investigate XML for message exchanges among Internet-enabled shop floor devices that are represented by intelligent agents. The paper discusses the advantages of using XML for message services and presents our initial implementation within the iShopFloor prototype environment. This implementation has demonstrated the following advantages of using XML-based message services on the shop floor: (1) simplification and standardization of message services in Internet-based, intelligent shop floors; (2) facilitation of the integration of an agent-based scheduling system with other intelligent shop floor systems, including Web-based shop floor monitoring and control systems; and (3) possibility of creating data views on the fly.

  • 221. Shih, A. J.
    et al.
    Raman, S.
    Guo, Y.
    Salahshoor, M.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Advancements in manufacturing processes2016In: Journal of Manufacturing Processes, ISSN 1526-6125, Vol. 24, p. 319-320Article in journal (Refereed)
  • 222. Shih, A.J.
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Preface2016In: 44th Proceedings of the North American Manufacturing, Elsevier, 2016, Vol. 5, p. vii-viiiConference paper (Refereed)
  • 223. Shih, A.J.
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Preface2015Conference paper (Refereed)
  • 224. Shih, A.J.
    et al.
    Wang, LihuiKTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Procedia Manufacturing of the 43rd North American Manufacturing Research Conference2015Conference proceedings (editor) (Refereed)
  • 225. Shih, A.J.
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Procedia Manufacturing of the 44th North American Manufacturing Research Conference2016Other (Refereed)
  • 226. Syberfeldt, Anna
    et al.
    Ayani, Mikael
    Holm, Magnus
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Lindgren-Brewster, Rodney
    LOCALIZING OPERATORS IN THE SMART FACTORY: A REVIEW OF EXISTING TECHNIQUES AND SYSTEMS2016In: 2016 INTERNATIONAL SYMPOSIUM ON FLEXIBLE AUTOMATION (ISFA), IEEE conference proceedings, 2016, p. 179-185Conference paper (Refereed)
    Abstract [en]

    The aim of this paper to give a comprehensive overview of existing techniques and state-of-the-art systems for indoor localization that could be adopted in smart factories of the future. We present different techniques for calculating the position of a moving object using signal transmission and signal measurement, and compare their advantages and disadvantages. The paper also includes a discussion of various localization systems available in the market and compares their most important features. It ends with a discussion of important issues to consider in future work in order to fully implement indoor, real-time localization of operators in the smart factory.

  • 227. Syberfeldt, Anna
    et al.
    Danielsson, Oscar
    Holm, Magnus
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Univ Skövde, Sweden.
    Dynamic operator instructions based on augmented reality and rule-based expert systems2016In: RESEARCH AND INNOVATION IN MANUFACTURING: KEY ENABLING TECHNOLOGIES FOR THE FACTORIES OF THE FUTURE - PROCEEDINGS OF THE 48TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2016, p. 346-351Conference paper (Refereed)
    Abstract [en]

    Augmented reality is currently a hot research topic within manufacturing and a great potential of the technique is seen. This study aims to increase the knowledge of the adaptation and usability of augmented reality for the training of operators. A new approach of using dynamic information content is proposed that is automatically adjusted to the individual operator and his/her learning progress for increased efficiency and shorter learning times. The approach make use of the concept of expert systems from the field of artificial intelligence for determine the information content on-line. A framework called "Augmented Reality Expert System" (ARES) is developed that combines AR and expert systems. A proof-of-concept evaluation of the framework is presented in the paper and possible future extensions are discussed.

  • 228. Syberfeldt, Anna
    et al.
    Danielsson, Oscar
    Holm, Magnus
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde, Sweden.
    Visual Assembling Guidance Using Augmented Reality2015In: 43rd North American Manufacturing Research Conference, NAMRC 43, Elsevier, 2015, Vol. 1, p. 98-109Conference paper (Refereed)
    Abstract [en]

    This paper describes a study of using the concept of augmented reality for supporting assembly line workers in carrying out their task optimally. By overlaying virtual information on real world objects and thereby enhance the human's perception of reality - augmented reality makes it possible to improve the visual guidance to the workers. In the study, a prototype system is developed based on the Oculus Rift platform and evaluated using a simulated assembling task. The main aim is to investigate user acceptance and how this can possible be improved.

  • 229. Syberfeldt, Anna
    et al.
    Holm, Magnus
    Danielsson, Oscar
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Brewster, Rodney Lindgren
    Support systems on the industrial shop-floors of the future - operators' perspective on augmented reality2016In: 6TH CIRP CONFERENCE ON ASSEMBLY TECHNOLOGIES AND SYSTEMS (CATS), Elsevier, 2016, p. 108-113Conference paper (Refereed)
    Abstract [en]

    With augmented reality, virtual information can be overlaid on the real world in order to enhance a human's perception of reality. In this study, we aim to deepen the knowledge of augmented reality in the shop-floor context and analyze its role within smart factories of the future. The study evaluates a number of approaches for realizing augmented reality and discusses advantages and disadvantages of different solutions from a shop-floor operator's perspective. The evaluation is done in collaboration with industrial companies, including Volvo Cars and Volvo GTO amongst others. The study also identifies important future research directions for utilizing the full potential of the technology and successfully implement it on industrial shop-floors.

  • 230. Tao, Fei
    et al.
    Zhang, Lin
    Liu, Yongkui
    Cheng, Ying
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Xu, Xun
    Manufacturing Service Management in Cloud Manufacturing: Overview and Future Research Directions2015In: Journal of manufacturing science and engineering, ISSN 1087-1357, E-ISSN 1528-8935, Vol. 137, no 4, article id 040912Article in journal (Refereed)
    Abstract [en]

    As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) has experienced rapid development in the past five years. The research on its theories, key technologies, developments, and applications still keeps attracting attentions from more and more researchers. One of the most important issues to its improvements and quality of service (QoS) is the manufacturing service management (MSM). CMfg aims to realize the full-scale sharing, free circulation and transaction, and on-demand use of various manufacturing resource and capabilities in the form of manufacturing service. Without the effective operation and technical support of MSM, the implementation of CMfg and its aim cannot be achieved. It is therefore necessary to summarize the existing works and technologies on MSM in CMfg. This paper first provides a brief overview of CMfg and then focuses on the problem of MSM in CMfg from the service lifecycle perspective. The advances on MSM technology from eleven aspects are investigated and summarized. Finally, future research directions are identified and discussed. It is evident that the future MSM in CMfg is closely related to Internet of things (IoT), big data, and cloud computing.

  • 231. Wang, Charlie C. L.
    et al.
    Chu, Chih-Hsing
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ramani, Karthik
    Depth cameras based techniques and applications in design, manufacturing and services2014In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 33, no 4, p. 675-676Article in journal (Refereed)
  • 232. Wang, J.
    et al.
    Gao, R.X.
    Yan, R.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    An Integrative Computational Method for Gearbox Diagnosis2012In: EIGHTH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, Elsevier, 2012, Vol. 12, p. 133-138Conference paper (Refereed)
    Abstract [en]

    Increasing demand on energy has accelerated research on improving the reliability of wind turbines. As a critical component in wind turbine drivetrains, the majority of gearbox failures have shown to initiate from bearing failures. The low signal-to-noise ratio and transient nature of bearing signals pose significant difficulty for bearing defect diagnosis at the incipient stage. For improved bearing diagnosis, this paper presents a new method that integrates ensemble empirical mode decomposition (EEMD) with independent component analysis (ICA) to effectively separate bearing and gear meshing signals, without requiring a priori information on rotating speeds or bandwidth. The method first decomposes sensor measurement into a series of intrinsic mode functions (IMFs) as pseudo multi-channel signals, by means of EEMD, to satisfy the requirement by ICA for redundant information. ICA is performed on the IMFs to separate defective bearing components from gear meshing signal. Enveloping spectrum analysis is then performed to identify bearing structural defects. Both numerical and experimental studies have demonstrated the merit of the developed new method in improving gearbox diagnosis.

  • 233.
    Wang, Lihui
    National Research Council of Canada .
    A Framework toward Web-based Collaborative Manufacturing2007In: Proceedings of the 17th International Conference on Flexible Automation and Intelligent Manufacturing, 2007, Vol. 2, p. 797-804Conference paper (Refereed)
  • 234.
    Wang, Lihui
    National Research Council of Canada.
    A Model-driven Approach for Remote Machine Control2008In: 4th IEEE Conference on Automation Science and Engineering, CASE 2008, Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 644-649Conference paper (Refereed)
    Abstract [en]

    The objective of this research is to develop a set of enabling technologies for Web-based remote machining in a decentralized environment. Particularly, this paper presents our latest development on 3D model-based and sensor-driven remote 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 via a standard Web browser. In this paper, the focus is given to the concept and prototype implementation of the 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 technology can also be applied to design verification as well as production in a distributed manufacturing environment.

  • 235.
    Wang, Lihui
    University of Skövde.
    A Novel Collaborative Planning Approach for Digital Manufacturing2010In: Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing / [ed] Huang G.Q., Mak K.L., Maropoulos P.G., Springer Berlin/Heidelberg, 2010, Vol. 66, p. 939-955Conference paper (Refereed)
    Abstract [en]

    The objective of this research is to develop methodology and algorithms for web-based digital manufacturing, supported by real-time monitoring for dynamic scheduling. This paper presents in particular an integrated approach for developing a web-based system, including distributed process planning, real-time monitoring and remote machining. It is enabled by a Wise-ShopFloor (Web-based integrated sensor-driven e-ShopFloor) framework targeting distributed yet collaborative manufacturing environments. Utilizing the latest Java technologies (Java 3D and Java Servlet) for system implementation, this approach allows users to plan and control distant shop floor operations based on runtime information from the shop floor. Details on the principle of the Wise-ShopFloor framework, system architecture, and a proof-of-concept prototype are reported in this paper. An example of distributed process planning for remote machining is chosen as a case study to demonstrate the effectiveness of this approach toward web-based digital manufacturing.

  • 236.
    Wang, Lihui
    National Research Council of Canada.
    A Web-based Approach for Real-time Robot Operations2008In: International Journal of Internet Manufacturing and Services, ISSN 1751-6048, Vol. 1, no 2, p. 90-103Article in journal (Refereed)
    Abstract [en]

    Owing to the business decentralisation and outsourcing, manufacturing is moving toward the direction in distributed environment. A new enabling technology is required, especially in remote monitoring and control of daily manufacturing operations. As web is rooted into business, a web-based solution for real-time monitoring and control is preferable due to its popularity, low cost, and availability. However, unpredictable network traffic posts a major challenge for web-based real-time application development. This paper proposes to use computer graphics augmented with real sensor data for reducing data transmission over the network. Particularly, a web-based technology for remote robot operations is presented.

  • 237.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Alternative Shop-Floor Re-Layout Design Due to Dynamic Operation Changes2011In: ASME 2011 International Manufacturing Science and Engineering Conference, ASME Press, 2011, Vol. 2, p. 127-133Conference paper (Refereed)
    Abstract [en]

    The turbulent environment of dynamic job-shop operations affects shop-floor layout as well as manufacturing operations. Due to the dynamic nature of shop-floor layout changes, essential requirements such as adaptability and responsiveness to the changes need to be considered in addition to the cost issues for 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 may cause a re-layout of the entire shop, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. This paper reports the latest development to the author’s previous work.

  • 238.
    Wang, Lihui
    Kobe University and Toyohashi University of Technology, Japan.
    An Approach to Collaborative Design and Intelligent Manufacturing1999In: Proceedings of the 3rd World Multiconference on SCI'99 and the 5th International Conference on ISAS'99, 1999, Vol. 7, p. 431-437Conference paper (Refereed)
  • 239.
    Wang, Lihui
    Kobe University and Toyohashi University of Technology, Japan.
    An Interpolating Algorithm for Dynamic Thermal Analysis of Machine Tools1994In: Proceedings of the First International Symposium on Advances in Intelligent Computer Integrated Manufacturing System, 1994, p. 213-218Conference paper (Refereed)
  • 240.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    An overview of function block enabled adaptive process planning for machining2015In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 35, p. 10-25Article in journal (Refereed)
    Abstract [en]

    Small- and medium-sized enterprises (SMEs) in job-shop machining are experiencing more shop-floor uncertainties today than ever before, due to multi-tier outsourcing, customised product demands and shortened product lifecycle. In a fluctuating shop floor environment, a process plan generated in advance is often found unsuitable or unusable to the targeted resources, resulting both in wasted effort spent in early process planning and in productivity drop when idle machines have to wait for operations to be re-planned. Consequently, an adaptive process planning approach is in demand. Targeting shop-floor uncertainty, the objective of this research is to develop a novel adaptive process planning method that can generate process plans at runtime to unplanned changes. This paper, in particular, presents an overview of adaptive process planning research and a new methodology, including two-layer system architecture, generic supervisory planning, machine-specific operation planning, and adaptive setup planning. Particularly, function blocks are introduced as a core enabling technology to bridge the gap between computer systems and CNC systems for adaptive machining.

  • 241.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    An overview of internet-enabled cloud-based cyber manufacturing2017In: Transactions of the Institute of Measurement and Control, ISSN 0142-3312, E-ISSN 1477-0369, Vol. 39, no 4, p. 388-397Article in journal (Refereed)
    Abstract [en]

    This paper presents an overview of the latest advancement of Internet-enabled cloud-based cyber manufacturing and new approaches for hardware-in-the-loop real-time applications, including cloud-based remote monitoring and control of industrial robots, remote assembly in a cyber-physical environment, and a cloud robotic system for energy-efficient operations. Altogether, they form an integrated cloud-based cyber manufacturing system. In terms of enabling technologies, they are the unique combination of virtual 3D models driven by real sensors, and image-to-model based representation of dynamic environment to guide cyber users. The objective of this research is to significantly reduce network traffic over the Internet for cyber manufacturing. This paper includes case studies, the results of which show that the integrated cyber-physical system consumes less than 1% of network bandwidth of traditional camera-based systems with a 30msec latency of real-time operations. They are feasible and practical as cyber manufacturing solutions.

  • 242.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council Canada.
    CBC Substitution: An adaptive approach for dynamic simulation2004In: International journal of computer applications in technology, ISSN 0952-8091, E-ISSN 1741-5047, Vol. 21, no 3, p. 87-98Article in journal (Refereed)
    Abstract [en]

    This paper introduces an adaptive meshing algorithm to handle problems in dynamic finite element analysis and runtime simulation, where mesh re-generation or dynamic adjustment is required. Based on a concept called CBC (coded box cell) 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-makings in dynamic mesh adjustment. A mapping technique is adopted to transform curved surfaces to plain ones for the ease of automatic mesh adjustment while still using the same algorithm. The meshing examples show that a finite element mesh can be adjusted dynamically and locally around its border zone; and the algorithm can be utilised effectively to simulate the thermal behaviour of a device under real operating conditions.

  • 243.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Challenges of Adaptive and Collaborative Manufacturing in the 21st Century2010Conference paper (Refereed)
    Abstract [en]

    Manufacturing has been one of the key areas that support and influence a nation’s economy since  the  18th  century.  Being  the  primary  driving  force  in  economy  growth,  manufacturing constantly serves as the foundation and contributes to other industries. In the past centuries, manufacturing contributed significantly to modern civilisation and created momentum that is driving today’s  economy. Despite of various revolutionary achievements, we are still facing challenges  when  striving  to  achieve  greater  success  in  manufacturing  in  the  21st  century. This paper highlights the challenges, particularly in adaptive and collaborative manufacturing, and offers a unique approach to solving the problems.

  • 244.
    Wang, Lihui
    Univeristy of Skövde.
    Collaborations towards Adaptive Manufacturing2012In: Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2012, 2012, p. 14-21Conference paper (Refereed)
    Abstract [en]

    This paper presents a new approach for real-time collaborations in adaptive manufacturing, including web-based remote monitoring and control of an industrial robot, and active collision avoidance for human-robot collaborations. It is enabled by using virtual 3D models driven by real sensor data and depth images of human operators. The objectives of this research are to significantly reduce network traffic needed for real-time monitoring over the Internet and to increase the human safety in a human-robot coexisting environment. The results of a case study show that the approach consumes less than 1% of network bandwidth of traditional camera-based methods, and is feasible and practical as a web-based solution

  • 245.
    Wang, Lihui
    National Research Council of Canada.
    Collaborative Design Approach for Holonic Manufacturing Systems2000In: Proceedings of the 10th International Conference on Flexible Automation and Intelligent Manufacturing, 2000, Vol. 2, p. 1146-1156Conference paper (Refereed)
    Abstract [en]

    Future manufacturing systems will be required to be agile, flexible, and fault-tolerant. Next generation manufacturing systems will be integrated networks of distributed resources simultaneously capable of combined knowledge processing and material processing. The objective of this research is to define a generic open architecture for such kind of distributed manufacturing systems, especially for holonic manufacturing systems (HMS). The primary focus will be given to its collaborative design and implementation approach based on agent technology and emerging function block standards. This paper will first address issues associated with HMS, and then discuss the two useful implementation techniques – agent technology and function block. Finally, a collaborative design approach for the next generation HMS will be proposed based on these implementation techniques. Emphasis will also be extended and given to metamorphic control of HMS using multi-agent negotiation and cooperation. The proposed approach, together with its open architecture, shows much promise for improving the entire manufacturing system performance under the ever-changing real-time and distributed environments.

  • 246.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Harbin University of Science and Technology, Harbin, China.
    Collaborative robot monitoring and control for enhanced sustainability2015In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 81, no 9-12, p. 1433-1445Article in journal (Refereed)
    Abstract [en]

    This paper presents a new approach for real-time collaborations in adaptive manufacturing, including web-based remote monitoring and control of an industrial robot, and active collision avoidance for human-robot collaborations. It is enabled by using virtual 3D models driven by real sensor data and depth images of human operators. The objectives of this research are to significantly reduce network traffic needed for real-time monitoring over the Internet and to increase human safety in a human-robot coexisting environment. The ultimate goal is to enhance the sustainability of manufacturing operations in decentralised dynamic environments with safety protection. The results of a case study show that the approach consumes less than 1 % of network bandwidth of traditional camera-based methods and is feasible and practical as a web-based solution.

  • 247.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Combining Facility Layout Redesign and Dynamic Routing for Job-Shop Assembly Operations2011In: Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium on, IEEE conference proceedings, 2011Conference paper (Refereed)
    Abstract [en]

    This paper presents a hybrid approach for facility layout redesign and dynamic job routing. More specifically, based on the source of uncertainty, the facility 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 may cause a layout redesign of the entire shop, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. The method is verified in a case study of a hypothetic robotic assembly shop.

  • 248.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Cyber Manufacturing: Research and Applications2014In: Proceedings of the TMCE. 2014 / [ed] I. Horváth and Z. Rusák, Delft University Press, 2014, Vol. 1, p. 39-49Conference paper (Refereed)
  • 249.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Disassembly Planning by Motion Tracking Analysis2011In: Proceedings of 1st International Conference on Remanufacturing, Glasgow, 2011, p. 182-186Conference paper (Refereed)
    Abstract [en]

    This paper presents an integrated intuitive system for disassembly planning by actively tracking the motion of an experienced operator. It can also be used for operators training by combining a virtual reality (VR) environment with the motion tracking. The developed conceptual prototype for disassembly planning and training enables individuals to interact with a virtual environment in real time. It extends the technology of motion tracking and integrates it with virtual environment technology to create real-time virtual work cell simulations in which disassembly operators may be immersed with hands-on experiences. In addition to the operators training, the experimental results to date are presented to demonstrate the potential contributions of human skills in achieving effective disassembly planning for remanufacturing. It is expected that this approach will lead to environment-friendly and sustainable operations by conserving energy and cost that are first tested in a human-emerged virtual system.

  • 250. Wang, Lihui
    Distributed Process Planning and Control for Reconfigurable Manufacturing2005Conference paper (Refereed)
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