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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

    Embargo ends: 1/02/22

    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

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<mark>Journal publication date</mark>1/02/2021
<mark>Journal</mark>Journal of Industrial and Production Engineering
Issue number2
Volume38
Number of pages9
Pages (from-to)148-156
Publication StatusPublished
<mark>Original language</mark>English

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.

Bibliographic 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