Self-Organizing Material Flow Control using Smart Products: An Assessment by Simulation

Matthias Thürer, Nuno O. Fernandes, Mark Stevenson, Ting Qu, George Q. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)148-156
Number of pages9
JournalJournal of Industrial and Production Engineering
Volume38
Issue number2
DOIs
Publication statusPublished - Feb 2021
Externally publishedYes

Keywords

  • dispatching
  • internet of things
  • Material flow control
  • POLCA
  • smart product

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Self-Organizing Material Flow Control using Smart Products: An Assessment by Simulation'. Together they form a unique fingerprint.

Cite this