Sajid Shah, Syed Hamid Hussain Madni, Siti Zaitoon Bt. Mohd Hashim, Javed Ali, Muhammad Faheem
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引用次数: 0
摘要
中小型企业(SMEs)正朝着采用数字和智能技术(包括工业物联网(IIoT))的方向稳步发展,以改进其产品和服务。采用 IIoT 可以让制造商和生产商快速做出决策,实时提高生产率和质量。为此,本文简要介绍了从 IR 1.0 到 IR 5.0 的数字工业革命时代。在这项研究中,作者回顾并分析了现有的有关面向制造和生产型中小企业的 IIoT 技术的评论、调查和技术研究,以突出所提出的问题。根据 TOEI 框架,确定了四十七(47)个影响因素,并将其分为四组。根据所确定的影响因素,提出了 IIoT 采用模型,以便制造和生产型中小企业在其业务环境中采用新的 IIoT 技术。此外,还对采用 IIoT 的影响因素进行了比较分析,以提高发展中国家制造和生产型中小企业的效率、生产力和竞争力。所提出的物联网应用模式将有助于未来的政策制定者和利益相关者制定政策和战略,以便在发展中国家的制造和生产型中小企业中成功采用和实施物联网。此外,还提出了一些建议,以鼓励在生产和制造环境中采用物联网,从而使制造商和生产商能够轻松、快速地应对高度变化的需求、产品趋势、技能差距以及未来其他意想不到的挑战。
Factors influencing the adoption of industrial internet of things for the manufacturing and production small and medium enterprises in developing countries
Small and Medium Enterprises (SMEs) are steadily moving in the direction of implementing digital and smart technologies, including the Industrial Internet of Things (IIoT) for improving their products and services. The adoption of IIoT allows manufactures and producers to make quick decisions for improving productivity and quality in real-time. For this purpose, the era of digital industrial revolution from IR 1.0 to IR 5.0 is briefly explained. In this research study, the authors have reviewed and analysed the existing reviews, surveys and technical research studies on IIoT technologies for the manufacturing and production SMEs to highlight the concern raised. Forty-seven (47) influencing factors are identified and classified into four groups based on the TOEI framework. Based on the identified influencing factors, IIoT adoption model is proposed for the manufacturing and production SMEs to adopt the new IIoT technologies in their business environments. Furthermore, a comparative analysis of the influencing factors has been done for the adoption of IIoT to increase efficiency, productivity and competitiveness for the manufacturing and production SMEs in developing countries. The proposed IIoT adoption model will help future policymakers and stakeholders to develop policies and strategies for the successful adoption and implementation of IIoT in manufacturing and production SMEs in developing countries. Also, recommendations are suggested to encourage IIoT adoption in production and manufacturing environments so that manufacturers and producers can respond easily and quickly to highly changing demands, product trends, skills gaps and other unexpected challenges in the future.
期刊介绍:
IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly.
The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).