Modeling and analyzing the material flow of crowdsourcing processes in cloud-based manufacturing systems using stochastic petri nets

Dazhong Wu, David W. Rosen, Dirk Schaefer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Cloud-based manufacturing (CBM), also referred to as cloud manufacturing, has the potential to allow manufacturing enterprises to be rapidly scaled up and down by crowdsourcing manufacturing tasks or sub-tasks. To improve the efficiency of the crowdsourcing process, the material flow of CBM systems needs to be managed so that several manufacturing processes can be executed simultaneously. Further, the scalability of manufacturing capacity in CBM needs to be designed, analyzed, and planned in response to rapidly changing market demands. The objective of this paper is to introduce a stochastic petri nets (SPNs)-based approach for modeling and analyzing the concurrency and synchronization of the material flow in CBM systems. The proposed approach is validated through a case study of a car suspension module. Our results have shown that the SPN-based approach helps analyze the structural and behavioral properties of a CBM system and verify manufacturing performance.

Original languageEnglish (US)
Title of host publicationASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
PublisherWeb Portal ASME (American Society of Mechanical Engineers)
ISBN (Electronic)9780791845806
DOIs
StatePublished - Jan 1 2014
EventASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference - Detroit, United States
Duration: Jun 9 2014Jun 13 2014

Publication series

NameASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
Volume1

Other

OtherASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
CountryUnited States
CityDetroit
Period6/9/146/13/14

Fingerprint

Petri nets
Scalability
Synchronization
Railroad cars

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Wu, D., Rosen, D. W., & Schaefer, D. (2014). Modeling and analyzing the material flow of crowdsourcing processes in cloud-based manufacturing systems using stochastic petri nets. In ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference (ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference; Vol. 1). Web Portal ASME (American Society of Mechanical Engineers). https://doi.org/10.1115/MSEC2014-3907
Wu, Dazhong ; Rosen, David W. ; Schaefer, Dirk. / Modeling and analyzing the material flow of crowdsourcing processes in cloud-based manufacturing systems using stochastic petri nets. ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. Web Portal ASME (American Society of Mechanical Engineers), 2014. (ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference).
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abstract = "Cloud-based manufacturing (CBM), also referred to as cloud manufacturing, has the potential to allow manufacturing enterprises to be rapidly scaled up and down by crowdsourcing manufacturing tasks or sub-tasks. To improve the efficiency of the crowdsourcing process, the material flow of CBM systems needs to be managed so that several manufacturing processes can be executed simultaneously. Further, the scalability of manufacturing capacity in CBM needs to be designed, analyzed, and planned in response to rapidly changing market demands. The objective of this paper is to introduce a stochastic petri nets (SPNs)-based approach for modeling and analyzing the concurrency and synchronization of the material flow in CBM systems. The proposed approach is validated through a case study of a car suspension module. Our results have shown that the SPN-based approach helps analyze the structural and behavioral properties of a CBM system and verify manufacturing performance.",
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Wu, D, Rosen, DW & Schaefer, D 2014, Modeling and analyzing the material flow of crowdsourcing processes in cloud-based manufacturing systems using stochastic petri nets. in ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, vol. 1, Web Portal ASME (American Society of Mechanical Engineers), ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, Detroit, United States, 6/9/14. https://doi.org/10.1115/MSEC2014-3907

Modeling and analyzing the material flow of crowdsourcing processes in cloud-based manufacturing systems using stochastic petri nets. / Wu, Dazhong; Rosen, David W.; Schaefer, Dirk.

ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. Web Portal ASME (American Society of Mechanical Engineers), 2014. (ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Wu D, Rosen DW, Schaefer D. Modeling and analyzing the material flow of crowdsourcing processes in cloud-based manufacturing systems using stochastic petri nets. In ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. Web Portal ASME (American Society of Mechanical Engineers). 2014. (ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference). https://doi.org/10.1115/MSEC2014-3907