Information and Communication Technology Infrastructure in E-maintenance

Similar documents
Railway Maintenance Trends in Technology and management. Uday Kumar Luleå University of Technology LULEÅ-SWEDEN

Change Management in Information Technology - A Literature Review. Mahadi Hasan Miraz 1, a.

Mobile Crowdsensing enabled IoT frameworks: harnessing the power and wisdom of the crowd

An Adaptive Indoor Positioning Algorithm for ZigBee WSN

SMART MANUFACTURING: 7 ESSENTIAL BUILDING BLOCKS

Bloodhound RMS Product Overview

The Smart Production Laboratory: A Learning Factory for Industry 4.0 Concepts

Development of an Intelligent Agent based Manufacturing System

ICT Enhanced Buildings Potentials

Methodology for Agent-Oriented Software

INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN ICED 03 STOCKHOLM, AUGUST 19-21, 2003

Degree Programme in Electrical and Automation Engineering

INTERDISCIPLINARY, BIM-SUPPORTED PLANNING PROCESS

Canadian Technology Accreditation Criteria (CTAC) ELECTROMECHANICAL ENGINEERING TECHNOLOGY - TECHNICIAN Technology Accreditation Canada (TAC)

DEPUIS project: Design of Environmentallyfriendly Products Using Information Standards

Computer-Augmented Environments: Back to the Real World

TERMS OF REFERENCE FOR CONSULTANTS

COMPREHENSIVE COMPETITIVE INTELLIGENCE MONITORING IN REAL TIME

Multi-sensory Tracking of Elders in Outdoor Environments on Ambient Assisted Living

Support of Design Reuse by Software Product Lines: Leveraging Commonality and Managing Variability

Durham Research Online

THE CONSTRUCTION- AND FACILITIES MANAGEMENT PROCESS FROM AN END USERS PERSPECTIVE - ProFacil

I C T. Per informazioni contattare: "Vincenzo Angrisani" -

AGENTS AND AGREEMENT TECHNOLOGIES: THE NEXT GENERATION OF DISTRIBUTED SYSTEMS

3D Miniature Antenna Design for RFID Applications in IoT Environment

The AMADEOS SysML Profile for Cyber-physical Systems-of-Systems

Machinery Prognostics and Health Management. Paolo Albertelli Politecnico di Milano

Essential Components of e-maintenance

Argumentative Interactions in Online Asynchronous Communication

Catholijn M. Jonker and Jan Treur Vrije Universiteit Amsterdam, Department of Artificial Intelligence, Amsterdam, The Netherlands

Implementing Model Semantics and a (MB)SE Ontology in Civil Engineering & Construction Sector

Inter-enterprise Collaborative Management for Patent Resources Based on Multi-agent

Using Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous Robots

TECHNOLOGICAL COOPERATION MISSION COMPANY PARTNER SEARCH

Digital Manufacturing

The Study on the Application of the Intelligent Technology in the Sightseeing Agricultural Parks

CONFERENCE AGENDA USER CONFERENCE 2018 Hollywood Beach, Florida April 30th May 3 rd, 2018

Copyright: Conference website: Date deposited:

LEARNING GUIDE Information for the student Descriptive Data

INTERNET OF THINGS (IoT) PRESENTED BY: Wafaa Rizin Ameer

Global Journal on Technology

ICT Foresight and Roadmap towards Innovative Applications in the Nordic Countries. Mika Naumanen VTT Technology studies

OASIS concept. Evangelos Bekiaris CERTH/HIT OASIS ISWC2011, 24 October, Bonn

SMART CITY: A SURVEY

Current Technologies in Vehicular Communications

AGENT PLATFORM FOR ROBOT CONTROL IN REAL-TIME DYNAMIC ENVIRONMENTS. Nuno Sousa Eugénio Oliveira

UNIT-III LIFE-CYCLE PHASES

Development of an Augmented Reality Aided CNC Training Scenario

A Profile-based Trust Management Scheme for Ubiquitous Healthcare Environment

This list supersedes the one published in the November 2002 issue of CR.

Success Stories within Factories of the Future

Pervasive Services Engineering for SOAs

An Introduction to a Taxonomy of Information Privacy in Collaborative Environments

Distributed Robotics: Building an environment for digital cooperation. Artificial Intelligence series

Iowa State University Library Collection Development Policy Computer Science

Journal Title ISSN 5. MIS QUARTERLY BRIEFINGS IN BIOINFORMATICS

Relation-Based Groupware For Heterogeneous Design Teams

Design and Implementation of Integrated Smart Township

Factories of the Future 2020 Roadmap. PPP Info Days 9 July 2012 Rikardo Bueno Anirban Majumdar

A Human Centered View on E-Maintenance

Path Planning for Mobile Robots Based on Hybrid Architecture Platform

Trends Report R I M S

Industrie WITTENSTEIN Basics / Usecases / Lessons Learned

Operational Intelligence to deliver Smart Solutions

Wireless Energy Meter Using Handheld Reader

Towards Digital Ecosystems

Real-Time Locating Systems (RTLS): Adding precise, real-time positioning data to Industry 4.0 production models

Graduate in Food Engineering. Program Educational Objectives and Student Outcomes

Industry 4.0. Advanced and integrated SAFETY tools for tecnhical plants

A distributed architecture to implement a prognostic function for complex systems

From Information Technology to Mobile Information Technology: Applications in Hospitality and Tourism

MOBILE COMPUTING 1/29/18. Cellular Positioning: Cell ID. Cellular Positioning - Cell ID with TA. CSE 40814/60814 Spring 2018

A Survey on Smart City using IoT (Internet of Things)

Fujitsu Laboratories R&D Strategy Briefing

Implementing Model Semantics and a (MB)SE Ontology in the Civil Engineering & Construction Sector

NATIONAL TOURISM CONFERENCE 2018

Panel Discussion. Dr. Dr. Norbert A. Streitz. The infinity Initiative Sophia Antipolis, 29. November Darmstadt, Germany

Сonceptual framework and toolbox for digital transformation of industry of the Eurasian Economic Union

Networks of any size and topology. System infrastructure monitoring and control. Bridging for different radio networks

Apply Functional Modelling to Consequence Analysis in Supervision Systems. Abstract

Development and Integration of Artificial Intelligence Technologies for Innovation Acceleration

Ubiquitous Positioning: A Pipe Dream or Reality?

Framework Programme 7

An Introduction to Agent-based

Development of the Strategic Research Agenda of the Implementing Geological Disposal of Radioactive Waste Technology Platform

Using Variability Modeling Principles to Capture Architectural Knowledge

Information & Communication Technology Strategy

Definitions and Application Areas

An Integrated Simulation Method to Support Virtual Factory Engineering

NCCT IEEE PROJECTS ADVANCED ROBOTICS SOLUTIONS. Latest Projects, in various Domains. Promise for the Best Projects

The Ubiquitous Lab Or enhancing the molecular biology research experience

Lessons for Other Network Deployments

SMART PLACES WHAT. WHY. HOW.

Analyzing Engineering Contributions using a Specialized Concept Map

AES - Automotive Embedded Systems

ScienceDirect. Using Wireless Vibration Monitoring to Enable Condition-Based Maintenance of Rotating Machinery in the Water and Wastewater Industries

5G ANTENNA TEST AND MEASUREMENT SYSTEMS OVERVIEW

THE DRIVING FORCE BEHIND THE FOURTH INDUSTRIAL REVOLUTION

Electrical and Automation Engineering, Fall 2018 Spring 2019, modules and courses inside modules.

Technology Challenges and Opportunities in Indoor Location. Doug Rowitch, Qualcomm, San Diego

Transcription:

Information and Communication Technology Infrastructure in E-maintenance Muhammad S. Al-Qahtani Saudi Aramco Dhahran, Saudi Arabia E-mail: qahtms1b@aramco.com Abstract The major objective of this paper is to provide further insights into the Information and Communication Technology (ICT) infrastructure for supporting e-maintenance processes in today s manufacturing environments. To achieve this objective existing e-maintenance models were investigated and an appropriate model was selected based on (i) its currency, (ii) its relevance to the manufacturing industry, and (ii) an explicit role being played by the ICT for enabling various e-maintenance activities. The ICT component of the selected framework is then further expanded by identifying specific ICT component technologies that are currently available for supporting various e-maintenance activities within the framework. Therefore the major contribution of the current study includes (i) identification of an existing e- maintenance framework with explicit focus on ICT, and (ii) to purposeful review of the current ICT literature in order to identify current ICT technology components that can be used in order to support various e-maintenance activities of the selected e-maintenance model. Keywords manufacturing industry; maintenance; e- maintenance; conceptual model; Information and Communication Technology (ICT) I. INTRODUCTION As a multidisciplinary field, e-maintenance is related to a variety of research fields ranging from operation & maintenance engineering, to software engineering, information systems, and business management [1]. As a result of such inter-disciplinary nature of e-maintenance, a variety of theoretical and research perspectives can be adopted I order to investigate the phenomena. The perspective adopted in the current study is the Information and Communication Technology (ICT) perspective. E-maintenance addresses emerging requirements of today manufacturing industry and provides various benefits in form of increased availability, reduced lifecycle and set up cost, facilitated the integration of maintenance support technologies with existing material and personal resources, increased customer-value, continuous improvement of maintenance management, improved decision making process [1], [2], [3], [4], [5]. The current study is presented in the form of a review paper, and as a result, its findings are synthesized from the existing literature on e-maintenance and ICT domains. One major motivation for conducting the current study has been a lack of sufficient insights into the existing ICT component technologies that can be used for both supporting as well as enabling various e-maintenance activities in today s manufacturing environments. While practitioners have been busy with utilizing a variety of ICT technology components for supporting their e-maintenance activities, little academic research seem to have been conducted to provide a taxonomy-like knowledge representation of the current ICT technologies that can be used in today s manufacturing sector. The current study extends existing work on e- maintenance by providing an ICT classification scheme for e-maintenance activities by identifying specific ICT components from the current literature that provide required support. Findings of the study which is represented in an ICT classification scheme, can in turn serve as a supplement to the selected e-maintenance model, and collectively referred to as integrated e-maintenance architecture incorporating ICT components and e-maintenance activities. The ICT classification scheme is presented textually in the section titled ICT Infrastructure for E-maintenance. II. E-MAINTENANCE STRATEGIES/PROCESSES As a multi-disciplinary e-disciplinary research field, e- maintenance is a combination of two e-domains: emanufacturing and e-business [6]. It is defined as maintenance managed and performed by virtue of computing [1], it integrates ICT within the maintenance strategy to face the new challenges of supporting e- manufacturing [7], and provision of maintenance support services remotely with the aid of ICT [5]. In this section a review of literature is provided to further clarify the e- maintenance side of the theoretical foundation of this study which primarily focuses on current e-maintenance strategies. The outcome of this review is identification of a recent ICT-oriented e-maintenance framework where ICT is given critical role of enabling and supporting various e- maintenance activities. Such bias in reviewing the current literature has been deliberate and consistent with the overall aim of the study in one hand, and the enhanced role of ICT in e-maintenance activities, from having a supporting role to having an enabling role. Below is a summary of the 7

existing e-maintenance strategies adopted by today s primarily knowledge-based manufacturing organizations: Remote maintenance: It is based on the notion of distance and transfers data from one site to another one remotely without the physical access to the item [8]. Predictive maintenance: It is concerned mainly with detecting hidden and potential failures and predicting the condition of the equipment [9]. Real-time maintenance: Maintenance operators can respond to any situation by the real-time remote monitoring of equipment status coupled with programmable alerts [10]. Cooperative maintenance: The work is divided to independent tasks, every actor assigned to a part of the resolution of the problem and the coordination is done during the assembly of partial results [10]. Collaborative maintenance: The work is synchronized and coordinated so as to build and to maintain a common vision of the problem [11]. Preventive maintenance: The objective of preventive maintenance is to decrease the probability of failure in the time period after maintenance has been applied [12]. Corrective maintenance: Corrective maintenance strives to reduce the severity of equipment failures once they occur [13]. On the other hand e-maintenance processes have been identified and classified by Kajko-Mattsson et al. [1] and Muller et al. [11] as (i) diagnostics, (ii) prognostics, (iii) planning and production control, (iv) documentation such as technical publications, (v) electronic log books and technical records, (vi) repair order/work order, and (vii) quality assurance and reliability analysis. All above e-maintenance strategies and processes would require support from ICT in a variety of ways. For example, the remote maintenance strategy would require ICT component technologies that maintain a ubiquitous environment for the maintenance workers whereas the predictive maintenance strategy would need strong ICT support in the areas of business intelligence and decision support systems and technologies. The current study provides a generic guide to the ICT component technologies without adhering to a specific strategy. This will facilitate identification of matching each of the proposed ICT component technologies with a particular strategy. III. E-MAINTENANCE FRAMEWORK A comprehensive architectural framework for e- maintenance has been proposed by Han and Yang [6] and is widely used by researchers in the fields of management and ICT mainly because it assigns an explicit role for ICT as an enabling factor for supporting various maintenance activities. The current study adopts this framework and elaborates on the ICT component by exploring existing ICT component technologies that can be used in conjunction with the above conceptual framework. The framework mimics the traditional holistic maintenance shops in multi-division environments with a centralized maintenance centre and several local maintenance centers, and closely resembles the model that has been adopted by the Saudi Aramco where the author is employed. The maintenance center is a sharable platform that interconnects research groups, experts, repair shops, and manufacturing divisions via internet and communication techniques. The local maintenance centers provide routine services to their respective manufacturing sites that do not involve ad-hoc decision-making and/or fundamental changes to the existing local facilities. In the event when such needs arise the latter uses the shared facilities of the maintenance center both for problem-solving as well as for implementing change management and supporting relevant decisions. Maintaining an effective communication and coordination activities between the local and central maintenance centers is one major role of the ICT infrastructure that have been discussed in the next section. The lower part of Figure 1 represents the ICT infrastructure component of the architecture that supports activities within the e-maintenance framework, and is the focus of the current study. In the following section the latter part of the architecture is described in more detail through a review of the current literature. The identified ICT components have been selected from the literature on the basis of their relevance and appropriateness in relation to supporting various e-maintenance activities. 8

Figure 1 Architecture of a hypothetical e-maintenance system; adopted from Han and Yang, 2006. IV. ICT INFRASTRUCTURE It is claimed that ICT infrastructure in e-maintenance must ensure that the level of service quality expected for the process execution is maintained for scalability and availability [14]. From the e-maintenance point of view the ICT infrastructure is composed of one or several networks with servers, workstations, applications, databases, smart sensors, PDA, and many more [14]. Furthermore, such role for ICT has also been characterized by its operating principles such as wireless infrastructure as well as deploying the right ICT related standards for presentation, storage, exchange, and process communication [15]. In the following section a summary of the most relevant categories of ICT technology components have been identified from the literature. Such categorization represents one major contribution of the current study. New sensors such as smart sensors MEMS (micro-sensor technology equipped with autonomous power, memory cells, analogue amplification, converter, etc. well adapted for vibration analysis, oil analysis), wireless sensors, and sensor networks. The sensors are the main factor for performing the basic e-maintenance activities which materialize the Condition-Based Maintenance concept (CBM). Therefore, these sensors support more than conventional capacities (such as CM, diagnosis, prognosis) [15], [14]. RFID tag (passive and active; Radio Frequency Identification Device) is used for operator and component identification, storage of conventional data, and traceability of the past maintenance actions. In addition, for it can be used for geo-localization of the maintenance tools. Global Positioning System (GPS) in a complementary technology to the RFID tags and is used for distinguishing location of an operator or the maintenance tools. Wireless technologies lead to considerable savings in networking costs and provide high degree of flexibility that are not normally provided by wired systems. Wireless Personal Area Networks (WPAN) such as IEEE 802.11, 802.15.4 ZigBee, 802.15.1 Bluetooth; Wireless Local Area Network (WLAN) such as WiFi, WiMax; GSM-UMTS (for long distance) are currently the main wireless technologies [15], [4], [17], [18]. 9

Innovative communication equipment such as virtual reality for supporting man/machine or man/man exchanges for speaking, hearing, seeing, touch, and feel. Tools for diagnostics and prognostics that support maintenance decision-making include E-CBM and remote sensing devices. These technologies are deployed for monitoring the condition and performance of physical assets [19], [20]. Furthermore, in an e-cbm-enabled environment data are transmitted through the Web to a secure site for analysis and decision making [20]. PDA, SmartPhones, Graphic tablets, harden laptops, etc. (equipped with WiFi, Bluetooth, RFID Reader, Windows Mobile). Specific standards for ensuring the integration between all the IT components and e-maintenance solutions. Web services (for monitoring, diagnosis, prognosis, scheduling) protocols and technical standards (Internetbased technologies) used for exchanging data between applications within heterogeneous environments: SOAP (Simple Object Access Protocol) for message exchanging; WSDL (Web Service Description Language); UDDI for referencing the web services, etc. Full Web-CMMS (e-cmms) is a CMMS (Computerized Maintenance Management System) able to monitor and manage the preventive maintenance activities of the organization but by offering new functionalities such as ASP (Application Service Provider/Providing) over the Web; link with mobile technologies for retrieving data, loading maintenance action; workflow module, etc [19]. V. AN INTEGRATED FRAMEWORK According to the e-maintenance architectural framework of Figure 1 the wireless component provides required ICT infrastructure for supporting various activities of the other architectural components. This study extends the model in Figure 1 by providing further insights into the ICT support of the e-maintenance. The argument raised in the study is that the identified ICT components when combined with the e-maintenance architectural framework of Figure 1 together provide an integrated framework for e-maintenance that can be used by today s highly information-intensive manufacturing and service organizations for managing their e-maintenance processes. VI. SUMMARY AND CONCLUSION This paper reviewed current literatures in the areas of ICT and Manufacturing/Maintenance in order to provide further insights into the specific ICT requirements of the e- maintenance process. A recent e-maintenance framework, representing the latest effort in the field, was selected on the basis of its relevance to the manufacturing as well as its explicit notion of ICT support as an enabler of e- maintenance activities. The study expanded the ICT component of the framework by investigating current ICT components technologies as a supplement to the existing model, hence the name integrated framework ; a framework that integrates a recent e-maintenance framework with specific ICT component technologies. In future the author intends to extend the current study by providing taxonomy for ICT support of e-maintenance activities and apply the framework to manufacturing industries with the aim of evaluating its suitability to various industries as a step towards developing a generic integrated e-maintenance framework. REFERENCES [1] Kajko-Mattsson, M., Karim, R. and Mirijamdotter, A. "Fundamentals of the emaintenance Concept". Proceedings of The 1st international workshop and congress on emaintenance. 2010, Luleå, Sweden. [2] Fuchino, T., Shimada, Y., Miyazawa, M. and Naka, Y. "Business process model for knowledge management in plant maintenance". In: Bertrand, B. and Xavier, J. (eds.) Computer Aided Chemical Engineering. Elsevier. 2008, pp. 101-102. [3] Marquez, A. C., De Leon, P. M., Fernandez, J. F. G., Marquez, C. P. and Campos, M. L. "The maintenance management framework: A practical view to maintenance management". Journal of Quality in Maintenance Engineering,2009; 15(2), pp. 167-178. [4] Candell, O. Development of Information Support Solutions for Complex Technical Systems using emaintenance. PhD, Luleå University of Technology, 2009. [5] Karim, R. and Soderholm, P. "Application of information and communication technology for maintenance support information services: Transferring experiences from an ehealth solution in Sweden". Journal of Quality in Maintenance Engineering, 2009; 15(1), pp. 78-91. [6] Han, T. and Yang, B. S. "Development of an e-maintenance system integrating advanced techniques". Computers in Industry,2006; 57, pp. 569-580. [7] Sahoo, T. and Parida, A. "Improving Overall Equipment Effectiveness (OEE) of process plant equipments through e-diagnostics". Proceedings of The 1st international workshop and congress on emaintenance.2010, Luleå, Sweden. [8] Rasoyska, I., Chebel-Morello, B. and Zerhouni, N. "Process of s- maintenance: Decision support system for maintenance intervention". Proceedings of the 10th IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2005, pp. 679-686. [9] Zhao, Z., Wang, F.-L., Jia, M.-X. and Wang, S. "Predictive maintenance policy based on process data". Chemometrics and Intelligent Laboratory Systems, 2010; 103(2), pp. 137-143. [10] Muller, A., Crespo Marquez, A. and Iung, B. "On the concept of e- maintenance: Review and current research". Reliability Engineering & System Safety, 2008; 93(8), pp. 1165-1187. [11] Muller, A., Suhner, M.-C. and Iung, B. "Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system". Reliability Engineering & System Safety, 2008; 93(2), 234-253. [12] Kenne, J. P. and Nkeungoue, L. J. "Simultaneous control of production, preventive and corrective maintenance rates of a failureprone manufacturing system". Applied Numerical Mathematics, 2008; 58(2), pp. 180-194. [13] De Lucia, A., Pompella, E. and Stefanucci, S. 2005. "Assessing effort estimation models for corrective maintenance through empirical studies". Information and Software Technology, 2005; 47(1), pp. 3-15. [14] Iung, B., Levrat, E., Marquez, A. C. and Erbe, H. "Conceptual framework for e-maintenance: Illustration by e-maintenance 10

technologies and platforms". Annual Reviews in Control, 2009; 33(2), 220-229. [15] Emmanouilidis, C., Liyanage, J. P. and Jantunen, E." Mobile solutions for engineering asset and maintenance management". Journal of Quality in Maintenance Engineering, 2009; 15(1), pp. 92-105. [16] Zhang, Y., Gu, Y., Vlatkovic, V. and Wang, X. "Progress of smart sensor and smart sensor networks". Proceedings of the Fifth World Congress on Intelligent Control and Automation, WCICA 2004(4). pp. 3600-3606. [17] Voisin, A., Levrat, E., Cocheteux, P. and Iung, B. "Generic prognosis model for proactive maintenance decision support: Application to pre-industrial e-maintenance test bed". Journal of Intelligent Manufacturing, 2010; 21(2), pp. 177-193. [18] Campos, J., Jantunen, E. and Prakash, O. "A web and mobile device architecture for mobile e-maintenance". International Journal of Advanced Manufacturing Technology,2009; 45(1-2),pp. 71-80. [19] Tsang, A. H. C. "Strategic dimensions of maintenance management". Journal of Quality in Maintenance Engineering, 2002; 8(1), pp. 7-39. [20] Jardine, A. K. S., Lin, D. and Banjevic, D. "A review on machinery diagnostics and prognostics implementing condition-based maintenance". Mechanical Systems and Signal Processing, 2006; 20(7), pp. 1483-1510. 11