{"title":"Internet of things enabled manufacturing: A review","authors":"R. Zhong, W. Ge","doi":"10.1504/IJASM.2018.092545","DOIUrl":null,"url":null,"abstract":"Internet of things (IoT) plays an important role in the manufacturing sector, allowing objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and therefore resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. With the world-wide spread of Industry 4.0, IoT-enabled manufacturing is now one of the key supports to smart factory, intelligent automation, and real-time adaptive decision-makings. This paper comprehensively reviews related technologies and world-wide movements so that insights and lessons could be useful for academia and practitioners when contemplating IoT technologies for upgrading and transforming traditional manufacturing into an new future in the context of Industry 4.0.","PeriodicalId":38028,"journal":{"name":"International Journal of Agile Systems and Management","volume":"11 1","pages":"126"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJASM.2018.092545","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Agile Systems and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJASM.2018.092545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 19
Abstract
Internet of things (IoT) plays an important role in the manufacturing sector, allowing objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and therefore resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. With the world-wide spread of Industry 4.0, IoT-enabled manufacturing is now one of the key supports to smart factory, intelligent automation, and real-time adaptive decision-makings. This paper comprehensively reviews related technologies and world-wide movements so that insights and lessons could be useful for academia and practitioners when contemplating IoT technologies for upgrading and transforming traditional manufacturing into an new future in the context of Industry 4.0.
期刊介绍：
The objective of IJASM is to establish an effective channel of communication between academia, industry and persons concerned with the design and development of systems. Change is eternal and perpetual, irrespective of type of system. Systems created in the course of the advance of human civilization need to be functionally and operationally sustainable amid changes in technological, political, socio-economical, financial, cultural and other environmental challenges. IJASM aims to promote and harmonize knowledge developments in the emerging fields of agile systems research, sustainability and vulnerability analysis, risk assessments methodologies, complex systems science, e-organisation and e-supply chain management, with emphasis on the international dimension, particularly breaking cultural barriers, and on national contexts, globalisation and new business practices. As such, we aim to publish papers presenting new research, innovative theoretical approaches, changes in agile management paradigms, and action (both examples of successes and failures as long as there are important lessons to be learned) from leading scholars and practitioners. Papers generally fall into two broad categories: those grounded in theory and/or papers using scientific research methods (e.g., reports of original empirical studies, models, critical reviews of existing empirical research, theory pieces that clearly extend current thinking); and those focusing on innovative agile approaches that are based on well reasoned extensions of existing research, experiential knowledge, or exemplary cases (e.g., thought pieces, case studies, etc).
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