Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing

Zeyu Zhang; Wenjun Xu; Quan Liu; Zude Zhou; Duc Truong Pham

doi:10.1115/MSEC2017-2704

Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing

Zeyu Zhang, Wenjun Xu^*, Quan Liu, Zude Zhou, Duc Truong Pham

^*Corresponding author for this work

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs' manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the "normal distribution" model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.

Original language	English
Title of host publication	ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
Subtitle of host publication	Manufacturing Equipment and Systems
Publisher	American Society of Mechanical Engineers (ASME)
Number of pages	6
Volume	3
ISBN (Electronic)	9780791850749
DOIs	https://doi.org/10.1115/MSEC2017-2704
Publication status	Published - 1 Jan 2017
Event	ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing - Los Angeles, United States Duration: 4 Jun 2017 → 8 Jun 2017

Conference

Conference	ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
Country/Territory	United States
City	Los Angeles
Period	4/06/17 → 8/06/17

Keywords

Dynamic assessment
Feedback information
Industrial robots
Manufacturing capability

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1115/MSEC2017-2704Licence: None: All rights reserved

Cite this

Zhang, Z., Xu, W., Liu, Q., Zhou, Z., & Pham, D. T. (2017). Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing. In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing: Manufacturing Equipment and Systems (Vol. 3). Article V003T04A027 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/MSEC2017-2704

Zhang, Zeyu ; Xu, Wenjun ; Liu, Quan et al. / Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing. ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing: Manufacturing Equipment and Systems. Vol. 3 American Society of Mechanical Engineers (ASME), 2017.

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title = "Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing",

abstract = "With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs' manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the {"}normal distribution{"} model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.",

keywords = "Dynamic assessment, Feedback information, Industrial robots, Manufacturing capability",

author = "Zeyu Zhang and Wenjun Xu and Quan Liu and Zude Zhou and Pham, {Duc Truong}",

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Zhang, Z, Xu, W, Liu, Q, Zhou, Z & Pham, DT 2017, Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing. in ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing: Manufacturing Equipment and Systems. vol. 3, V003T04A027, American Society of Mechanical Engineers (ASME), ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing, Los Angeles, United States, 4/06/17. https://doi.org/10.1115/MSEC2017-2704

Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing. / Zhang, Zeyu; Xu, Wenjun; Liu, Quan et al.
ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing: Manufacturing Equipment and Systems. Vol. 3 American Society of Mechanical Engineers (ASME), 2017. V003T04A027.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing

AU - Zhang, Zeyu

AU - Xu, Wenjun

AU - Liu, Quan

AU - Zhou, Zude

AU - Pham, Duc Truong

PY - 2017/1/1

Y1 - 2017/1/1

N2 - With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs' manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the "normal distribution" model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.

AB - With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs' manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the "normal distribution" model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.

KW - Dynamic assessment

KW - Feedback information

KW - Industrial robots

KW - Manufacturing capability

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BT - ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing

Y2 - 4 June 2017 through 8 June 2017

ER -

Zhang Z, Xu W, Liu Q, Zhou Z, Pham DT. Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing. In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing: Manufacturing Equipment and Systems. Vol. 3. American Society of Mechanical Engineers (ASME). 2017. V003T04A027 doi: 10.1115/MSEC2017-2704

Dynamic manufacturing capability assessment of industrial robots based on feedback information in cloud manufacturing

Abstract

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Keywords

ASJC Scopus subject areas

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