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Research Papers

Cloud-Based Augmented Reality Remote Maintenance Through Shop-Floor Monitoring: A Product-Service System Approach

[+] Author and Article Information
Dimitris Mourtzis

Laboratory for Manufacturing Systems
and Automation,
University of Patras,
Patras 26500, Greece
e-mail: mourtzis@lms.mech.upatras.gr

Aikaterini Vlachou

Laboratory for Manufacturing Systems
and Automation,
University of Patras,
Patras 26500, Greece
e-mail: vlachou@lms.mech.upatras.gr

Vasilios Zogopoulos

Laboratory for Manufacturing Systems
and Automation,
University of Patras,
Patras 26500, Greece
e-mail: zogopoulos@lms.mech.upatras.gr

1Corresponding author.

Manuscript received October 24, 2016; final manuscript received January 10, 2017; published online January 30, 2017. Editor: Y. Lawrence Yao.

J. Manuf. Sci. Eng 139(6), 061011 (Jan 30, 2017) (11 pages) Paper No: MANU-16-1561; doi: 10.1115/1.4035721 History: Received October 24, 2016; Revised January 10, 2017

Maintenance and its cost continue, over the years, drawing the attention of production management, since the unplanned failures decrease the reliability of the system and the return of investments. Maintenance services of manufactured products are among the most common services in the industry; they account for more than half of the total costs and influence the environmental impact of the product. In order for manufacturers to increase their productivity, by performing accurate and quick maintenance, advanced monitoring systems should be considered in order to easily detect machine tool failures before they occur. Toward that end, a cloud-based platform for condition-based preventive maintenance, supported by a shop-floor monitoring service and an augmented reality (AR) application, is proposed as a product-service system (CARM2-PSS). The proposed AR maintenance service consists of algorithms of automated generation of assembly sequences, part movement scripts, and improved interface that aim to maximize existing knowledge usage while creating vivid AR service instructions. Moreover, the proposed monitoring system is supported by a wireless sensor network (WSN), and is deployed on a Cloud environment together with the AR tool. The monitoring system monitors the status of the machine tools, calculates their remaining operating time between failures (ROTBF), and identifies the available windows of the machine tools in order to perform the AR remote maintenance. In order to validate the proposed methodology and calculate its impact, it is applied in a real-life case study of a white-goods industry.

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Figures

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Fig. 1

The CARM2-PSS approach

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Fig. 2

Shop-floor monitoring service

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Fig. 3

The AR remote maintenance service and the smart assembly/disassembly precedence algorithm

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Fig. 4

The proposed product-oriented PSS model

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Fig. 5

Augmented reality application

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Fig. 6

Current maintenance approach versus CARM2-PSS platform for condition-based preventive maintenance

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Fig. 7

Application of the CARM2-PSS platform

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Fig. 8

Maintenance time (MT), maintenance cost (MC), and usability (US) of proposed versus current maintenance approach

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