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Cloud manufacturing adoption: a comprehensive review

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Abstract

To provide a comprehensive review of cloud manufacturing (CM) adoption, this study performed a systematic literature review of 111 journal papers on CM adoption that were published from 2012 to 2022. The SCOPUS database was selected for the search of papers, followed by the Title–Abstract–Keyword principle for screening the papers that resulted in the 111 most relevant papers for the review. To better understand the CM adoption studies, identified papers were categorized into three main categories and eight sub-categories. The critical review of CM adoption studies reveals that, in the last decade, CM implementation across the manufacturing sector has been significant. In recent years, successful integration of the CM platform with various technologies, such as blockchain, big data analytics, and IIoT has been observed. On the other hand, lack of technology awareness, lack of access to a skilled workforce, and lack of strategies for digital technology adoption are identified as major concerns for its adoption across emerging economies. This comprehensive review can guide research scholars and practitioners to explore various development trends and recent advances in CM adoption. It is worthwhile to note that the existing research on CM has yet to analyze the tools and techniques used in CM adoption studies. This preliminary research is believed to be of its kind exploring and analyzing a comprehensive review of CM adoption, including various categories and analysis of tools and techniques used.

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Abbreviations

3DP:

3D printing

AHP:

Analytical hierarchy process

AI:

Artificial intelligence

AM:

Additive manufacturing

BISWIT:

Build ideal solution with IT

CC:

Cloud computing

CFA:

Confirmatory factor analysis

CM:

Cloud manufacturing

CoT:

Cloud of things

DEMATEL:

Decisionmaking trial and evaluation laboratory

DOI:

Diffusion of innovation

EFA:

Exploratory factor analysis

ICT:

Information and communication technology

IIOT:

Industrial internet of things

IoT:

Internet of things

IS:

Information systems

IT:

Information technology

MaasS:

Manufacturing-as-a-service

MCDM:

Multi criteria decision making

MSME:

Micro, small and medium enterprises

OEM:

Original equipment manufacturer

PLM:

Product lifecycle management

PLS:

Partial least square

RFID:

Radio frequency identification

RQ:

Research question

SEM:

Structural equation modelling

SLR:

Systematic literature review

SM:

Smart manufacturing

SME:

Small and medium enterprises

SMSC:

Smart manufacturing supply chain

TAK:

Title–abstract–keywords

TAM:

Technology acceptance model

TOE:

Technology-organization-environment

WoS:

Web of science

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Acknowledgements

The author(s) would like to thank the editors and anonymous reviewers for their insightful comments and suggestions, which helped the authors significantly to improve the quality of the manuscript.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Lokmanya Tilak College of Engineering, Navi Mumbai, Maharashtra, 400706, India

    Mahesh S. Kavre & Vivek K. Sunnapwar

  2. Department of Mechanical Engineering, Terna College of Engineering, Navi Mumbai, Maharashtra, 400709, India

    Mahesh S. Kavre

  3. Department of Mechanical Engineering, University of Mumbai, M.H. Saboo Siddik College of Engineering, 8, Saboo Siddik Polytechnic Road, Mumbai, Maharashtra, 400008, India

    Bhaskar B. Gardas

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  1. Mahesh S. Kavre
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Table 12 Journal-wise classification of papers
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Kavre, M.S., Sunnapwar, V.K. & Gardas, B.B. Cloud manufacturing adoption: a comprehensive review. Inf Syst E-Bus Manage (2023). https://doi.org/10.1007/s10257-023-00638-y

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