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
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -