Evaluation of operational transformations for smart manufacturing systems
Journal of Global Operations and Strategic Sourcing
ISSN: 2398-5364
Article publication date: 6 September 2023
Abstract
Purpose
The advent of Internet of Things, cloud computing and advanced computing has endowed smart manufacturing environments with resilience, reconfigurability and intelligence, resulting in the emergence of novel capabilities. These capabilities have significantly reshaped the manufacturing ecosystem, enabling it to effectively navigate uncertainties. The purpose of this study is to assess the operational transformations resulting from the implementation of smart manufacturing, which distinguish it from conventional systems.
Design/methodology/approach
A list of qualitative and quantitative smart manufacturing performance metrics (SMPMs) are initially suggested and categorized into strategic, tactical and operational levels. The SMPMs resemble the capabilities of smart manufacturing systems to manage disruptions due to uncertainties. Then, industry and academia experts validate the SMPMs through the utilization of the Delphi method, enabling the ranking of the SMPMs.
Findings
The proposition of the SMPMs serves as a metric to assess the digital transformation capabilities of smart manufacturing systems. In addition, the ranking of the proposed SMPMs shows a degree of relevance of the measures in smart manufacturing deployment and managing the disruptions caused due to the COVID-19 pandemic
Research limitations/implications
The findings benefit managers, consultants, policymakers and researchers in making appropriate decisions for deploying and operationalizing smart manufacturing systems by focusing on critical SMPMs.
Originality/value
The research provides a metric to assess the operational transformations during the deployment of smart manufacturing systems. Also, it states the role of the metric in managing the potential disruptions that can alter the performance of the business due to the COVID-19 pandemic.
Keywords
Acknowledgements
Author contribution: All authors contributed equally to this work.
Data availability statement: Data will be made available upon request.
Since acceptance of this article, the following author(s) have updated their affiliations: Shashank Kumar is at Indian Institute of Management, Bodh Gaya, India and Kanchan Joshi is at University of Vienna, Austria.
Erratum: It has come to the attention of the publisher that the article “Evaluation of operational transformations for smart manufacturing systems” by Shreyanshu Parhi, Shashank Kumar, Kanchan Joshi, Milind Akarte, Rakesh D. Raut and Balkrishna Eknath Narkhede, published in Journal of Global Operations and Strategic Sourcing, Vol. ahead-of-print, No. ahead-of-print, https://doi.org/10.1108/JGOSS-06-2022-0070, contained errors in the affiliation details for Shashank Kumar, which were not corrected during the production process. Shashank Kumar is affiliated with Department of Operations and Supply Chain Management, Indian Institute of Management Mumbai, Mumbai, India – not Department of Operations Management and Quantitative Technique, Indian Institute of Management Mumbai, Mumbai, India and National Institute of Industrial Engineering, Symbiosis Institute of Operations Management, Symbiosis International University Nashik, Nashik, India. These errors have been corrected online and the publisher sincerely apologises for any misunderstanding.
Citation
Parhi, S., Kumar, S., Joshi, K., Akarte, M., Raut, R.D. and Narkhede, B.E. (2023), "Evaluation of operational transformations for smart manufacturing systems", Journal of Global Operations and Strategic Sourcing, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JGOSS-06-2022-0070
Publisher
:Emerald Publishing Limited
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