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A supply chain performance measurement approach using the internet of things: Toward more practical SCPMS

Abdallah Jamal Dweekat (Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea)
Gyusun Hwang (Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea)
Jinwoo Park (Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 13 March 2017

3765

Abstract

Purpose

The purpose of this paper is to introduce a more practical approach for supply chain performance measurement (SCPM) and to approve the promising role of internet of things (IoT) technologies in SCPM systems.

Design/methodology/approach

This is a conceptual paper that includes literature review analysis, designing a new approach for SCPM, and a case study scenario for proving its applicability.

Findings

The case study scenario shows that IoT can enhance SCPM, as it has the capability to enable real-time data collection, increase data efficiency as long as enable real-time communication within the supply chain (SC).

Practical implications

The proposed approach can help to develop performance measurement systems and applications enabled by IoT technologies. These systems can be used to monitor, manage, and control the overall SC in real time and in a more integrated and cooperative manner.

Originality/value

This paper provides a structured systems building approach tailored to show how to employ IoT technologies in the field of SCPM. This approach could help in establishing new performance measurement applications, and it is believed that both practitioners and researchers will benefit from it.

Keywords

Acknowledgements

The authors would like to thank Young-Woo Kim for his help. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIP) (No. 2015R1A2A2A03008086). And also by the Automation and Systems Research Institute (ASRI) in Seoul National University in the form of resources and administrative support.

Citation

Dweekat, A.J., Hwang, G. and Park, J. (2017), "A supply chain performance measurement approach using the internet of things: Toward more practical SCPMS", Industrial Management & Data Systems, Vol. 117 No. 2, pp. 267-286. https://doi.org/10.1108/IMDS-03-2016-0096

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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