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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Industrial and Production Engineering on 1st February 2021, available online: http://www.tandfonline.com/10.1080/21681015.2021.1883136

    Accepted author manuscript, 847 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Self-organizing material flow control using smart products: an assessment by simulation

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

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Self-organizing material flow control using smart products : an assessment by simulation. / Thurer, Matthias; Fernandes, Nuno Octavio; Stevenson, Mark; Qu, Ting; Huang, George.

In: Journal of Industrial and Production Engineering, Vol. 38, No. 2, 01.02.2021, p. 148-156.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Thurer, M, Fernandes, NO, Stevenson, M, Qu, T & Huang, G 2021, 'Self-organizing material flow control using smart products: an assessment by simulation', Journal of Industrial and Production Engineering, vol. 38, no. 2, pp. 148-156. https://doi.org/10.1080/21681015.2021.1883136

APA

Thurer, M., Fernandes, N. O., Stevenson, M., Qu, T., & Huang, G. (2021). Self-organizing material flow control using smart products: an assessment by simulation. Journal of Industrial and Production Engineering, 38(2), 148-156. https://doi.org/10.1080/21681015.2021.1883136

Vancouver

Thurer M, Fernandes NO, Stevenson M, Qu T, Huang G. Self-organizing material flow control using smart products: an assessment by simulation. Journal of Industrial and Production Engineering. 2021 Feb 1;38(2):148-156. https://doi.org/10.1080/21681015.2021.1883136

Author

Thurer, Matthias ; Fernandes, Nuno Octavio ; Stevenson, Mark ; Qu, Ting ; Huang, George. / Self-organizing material flow control using smart products : an assessment by simulation. In: Journal of Industrial and Production Engineering. 2021 ; Vol. 38, No. 2. pp. 148-156.

Bibtex

@article{80b448ea345443d3ab1bcb5c3c4808df,
title = "Self-organizing material flow control using smart products: an assessment by simulation",
abstract = "Material Flow Control (MFC) mechanisms control the movement of jobs through a set of stationery capacity resources on the shop floor. Although the objective of MFC is item-centric, i.e. to control the flow of individual jobs, most existing MFC mechanisms are resource-centric, i.e. focus on managing the capacity resources. While this was justified by technical constraints on real-time information feedback, advances in technology allow for new designs. In particular, smart products are cognizant of their local context and can communicate with one another through the Internet of Things, thereby enabling self-organized control of individual jobs. Despite this potential most application of smart products and the Internet of Things, including multi-agent systems for scheduling and holonic control, continue to focus on hierarchical, centralized data and control structures. In response, this study develops a simple item-centric MFC mechanism and uses simulation to proof the feasibility of self-organized control.",
author = "Matthias Thurer and Fernandes, {Nuno Octavio} and Mark Stevenson and Ting Qu and George Huang",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Industrial and Production Engineering on 1st February 2021, available online: http://www.tandfonline.com/10.1080/21681015.2021.1883136",
year = "2021",
month = feb,
day = "1",
doi = "10.1080/21681015.2021.1883136",
language = "English",
volume = "38",
pages = "148--156",
journal = "Journal of Industrial and Production Engineering",
number = "2",

}

RIS

TY - JOUR

T1 - Self-organizing material flow control using smart products

T2 - an assessment by simulation

AU - Thurer, Matthias

AU - Fernandes, Nuno Octavio

AU - Stevenson, Mark

AU - Qu, Ting

AU - Huang, George

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Industrial and Production Engineering on 1st February 2021, available online: http://www.tandfonline.com/10.1080/21681015.2021.1883136

PY - 2021/2/1

Y1 - 2021/2/1

N2 - Material Flow Control (MFC) mechanisms control the movement of jobs through a set of stationery capacity resources on the shop floor. Although the objective of MFC is item-centric, i.e. to control the flow of individual jobs, most existing MFC mechanisms are resource-centric, i.e. focus on managing the capacity resources. While this was justified by technical constraints on real-time information feedback, advances in technology allow for new designs. In particular, smart products are cognizant of their local context and can communicate with one another through the Internet of Things, thereby enabling self-organized control of individual jobs. Despite this potential most application of smart products and the Internet of Things, including multi-agent systems for scheduling and holonic control, continue to focus on hierarchical, centralized data and control structures. In response, this study develops a simple item-centric MFC mechanism and uses simulation to proof the feasibility of self-organized control.

AB - Material Flow Control (MFC) mechanisms control the movement of jobs through a set of stationery capacity resources on the shop floor. Although the objective of MFC is item-centric, i.e. to control the flow of individual jobs, most existing MFC mechanisms are resource-centric, i.e. focus on managing the capacity resources. While this was justified by technical constraints on real-time information feedback, advances in technology allow for new designs. In particular, smart products are cognizant of their local context and can communicate with one another through the Internet of Things, thereby enabling self-organized control of individual jobs. Despite this potential most application of smart products and the Internet of Things, including multi-agent systems for scheduling and holonic control, continue to focus on hierarchical, centralized data and control structures. In response, this study develops a simple item-centric MFC mechanism and uses simulation to proof the feasibility of self-organized control.

U2 - 10.1080/21681015.2021.1883136

DO - 10.1080/21681015.2021.1883136

M3 - Journal article

VL - 38

SP - 148

EP - 156

JO - Journal of Industrial and Production Engineering

JF - Journal of Industrial and Production Engineering

IS - 2

ER -