Title: Decision-making methods for selecting the best strategy for Industry 4.0

Authors: Nilubon Chonsawat; Apichat Sopadang; Yacine Ouzrout

Addresses: Graduate Program in Industrial Engineering, Department of Industrial Engineering, Chiang Mai University, Chiang Mai 50200, Thailand ' Department of Industrial Engineering, Supply Chain Engineering Management Research Unit, Chiang Mai University, Chiang Mai 50200, Thailand ' DISP Laboratory, University Lumiere Lyon 2, 160 Bd de l'Universite 69676 Bron, France

Abstract: Emerging Industry 4.0 creates a critical challenge when an organisation decides to reform and adapt to developing technologies. The decision maker must be aware of the elements prior to implementing Industry 4.0 strategies and technologies. Following the research approach, this article presents the decision making framework for SMEs in Industry 4.0 implementation decisions. This research begins with Industry 4.0 aspects and readiness maturity levels that identify SME capability. This model is a hybrid multi-criteria method: the fuzzy DEMATEL was used to evaluate the direction of the aspect, and then the fuzzy best-worst method analysed the weighting of aspects. After that, the prioritisation of strategies was ranked. The result concluded the priority of SMEs to select the suitable strategy toward Industry 4.0. Moreover, human skills are the core organisational aspects that embrace adaptation. Finally, the research not only highlights the best strategies selection but also presents the human skills that support organisational implementation.

Keywords: decision making; decision process; decision framework; human skills; Industry 4.0; technology; maturity model; strategies; readiness.

DOI: 10.1504/IJMTM.2023.133699

International Journal of Manufacturing Technology and Management, 2023 Vol.37 No.5/6, pp.538 - 562

Received: 21 Dec 2021
Received in revised form: 18 May 2022
Accepted: 21 Jul 2022

Published online: 29 Sep 2023 *

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