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IoT-based production logistics and supply chain system – Part 1: Modeling IoT-based manufacturing supply chain

Mengru Tu (Department of Transportation Science, National Taiwan Ocean University, Keelung, Taiwan)
Ming K. Lim (Centre for Business in Society, Coventry University, Coventry, UK)
Ming-Fang Yang (Department of Transportation Science, National Taiwan Ocean University, Keelung, Taiwan)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 5 February 2018

4891

Abstract

Purpose

The lack of reference architecture for Internet of Things (IoT) modeling impedes the successful design and implementation of an IoT-based production logistics and supply chain system (PLSCS). The authors present this study in two parts to address this research issue. Part A proposes a unified IoT modeling framework to model the dynamics of distributed IoT processes, IoT devices, and IoT objects. The models of the framework can be leveraged to support the implementation architecture of an IoT-based PLSCS. The second part (Part B) of this study extends the discussion of implementation architecture proposed in Part A. Part B presents an IoT-based cyber-physical system framework and evaluates its performance. The paper aims to discuss this issue.

Design/methodology/approach

This paper adopts a design research approach, using ontology, process analysis, and Petri net modeling scheme to support IoT system modeling.

Findings

The proposed IoT system-modeling approach reduces the complexity of system development and increases system portability for IoT-based PLSCS. The IoT design models generated from the modeling can also be transformed to implementation logic.

Practical implications

The proposed IoT system-modeling framework and the implementation architecture can be used to develop an IoT-based PLSCS in the real industrial setting. The proposed modeling methods can be applied to many discrete manufacturing industries.

Originality/value

The IoT modeling framework developed in this study is the first in this field which decomposes IoT system design into ontology-, process-, and object-modeling layers. A novel implementation architecture also proposed to transform above IoT system design models into implementation logic. The developed prototype system can track product and different parts of the same product along a manufacturing supply chain.

Keywords

Citation

Tu, M., Lim, M.K. and Yang, M.-F. (2018), "IoT-based production logistics and supply chain system – Part 1: Modeling IoT-based manufacturing supply chain", Industrial Management & Data Systems, Vol. 118 No. 1, pp. 65-95. https://doi.org/10.1108/IMDS-11-2016-0503

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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