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The role of Industry 4.0 technologies on performance measurement systems of supply chains during global pandemics: an interval-valued intuitionistic hesitant fuzzy approach

Hannan Amoozad Mahdiraji (School of Business, University of Leicester, Leicester, UK)
Fatemeh Yaftiyan (University of Tehran, Tehran, Iran)
Ali Asghar Abbasi Kamardi (University of Tehran, Tehran, Iran)
Jose Arturo Garza-Reyes (Centre for Supply Chain Improvement, The University of Derby, Derby, UK)
Seyed Hossein Razavi Hajiagha (Khatam University, Tehran, Iran)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 18 October 2022

Issue publication date: 9 May 2023

406

Abstract

Purpose

This paper aims to investigate Supply Chain (SC) Performance Measurement Systems (PMSs) (SCPMSs) that are suitable and applicable to evaluate SC performance during unexpected events such as global pandemics. Furthermore, the contribution of Industry 4.0 Disruptive Technologies (IDTs) to implement SCPMSs during such Black Swan events is investigated in this study.

Design/methodology/approach

The research methodology is based upon a novel qualitative and quantitative mixed-method. A Systematic Literature Review (SLR) was initially employed to identify two complete lists of SCPMSs and IDTs. Then, a novel Interval-Valued Intuitionistic Hesitant-Fuzzy (IVIHF)-Delphi method was firstly developed in this paper to screen the extracted SCPMSs. Afterward, the Propriety, Economic, Acceptable, Resource, Legal (PEARL) indicator of the Hanlon method was innovatively applied to prioritize the identified IDTs for each finalized SCPMS.

Findings

Two high-score SCPMSs including the SC operations reference (SCOR) model and sustainable SCPMS were recommended to improve measuring the performance of the pharmaceutical SC of emerging economies such as Iran in which the societal, biological and economic issues were undeniable, particularly during unexpected events. Employing nine IDTs such as simulation, big data analytics, cloud technologies, etc., would facilitate implementing sustainable SCPMS from distinct perspectives.

Originality/value

This is one of the first papers to provide in-depth insights into determining the priority of contribution of IDTs in applying different SCPMSs during global pandemics. Proposing a novel multi-layer mixed-methodology involving SLR, IVIHF-Delphi, and the PEARL indicator of the Hanlon method is another originality offered by this paper.

Keywords

Citation

Amoozad Mahdiraji, H., Yaftiyan, F., Abbasi Kamardi, A.A., Garza-Reyes, J.A. and Razavi Hajiagha, S.H. (2023), "The role of Industry 4.0 technologies on performance measurement systems of supply chains during global pandemics: an interval-valued intuitionistic hesitant fuzzy approach", International Journal of Quality & Reliability Management, Vol. 40 No. 5, pp. 1147-1171. https://doi.org/10.1108/IJQRM-03-2022-0094

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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