Aspects of Smart Manufacturing Via Agent-based Approach

Fedorov, A; Goloschchapov, Egor; Ipatov, Oleg; Potekhin, V. V.; Shkodyrev, Viacheslav; Zobnin, Sergey

doi:10.1016/j.proeng.2015.01.530

Cited by 18 publications

(14 citation statements)

References 5 publications

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“…Therefore, it is essential to build an appropriate IT infrastructure that combines the sophisticated tools, techniques, and technologies used in the manufacturing system. Researchers also suggest incorporating some elements in the IT infrastructure that collect and sort abundant information related to Industry 4.0, such as connectivity between sensors and networks, cloud computing, CPS, content and context, interaction among the involved partners, and customization ( Fedorov et al., 2015 ; Ji et al., 2016 ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Industry 4.0 implementation and Triple Bottom Line sustainability: An empirical study on small and medium manufacturing firms

Jayashree

Reza

Malarvizhi

et al. 2021

Heliyon

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Background The current level of industrialization has generated many challenges worldwide, including ecological hazards, climate change, and the overuse of non-renewable natural resources, thereby creating an increasing demand for achieving the goal of the Triple Bottom Line (TBL). In this regard, Industry 4.0 can be used as a crunch point to contribute to the production process that can help achieve sustainable development. Purpose While the Malaysian government proposed the “Industry4ward” approach to enhance technological adoption, there is scarce empirical evidence in the literature that validates SMEs for Industry 4.0. Using Dynamic Capability View (DCV), this study proposes a framework that includes core determinants like top management commitment, supply chain integration, and IT infrastructure, that can significantly influence Industry 4.0 implementation toward achieving TBL sustainability. Design/methodology/approach Employing simple random sampling, the study adopted a quantitative approach based on 199 useable respondent's feedback collected through a survey questionnaire of 900 employees from Malaysian SMEs. The statistical analysis was performed using Structural Equation Modeling (Partial Least Square, SmartPLS 3.3.2). Findings The results show that top management and IT infrastructure significantly impact Industry 4.0 implementation and sustainability. In contrast, the analysis also demonstrates that supply chain integration is insignificant to Industry 4.0 implementation in SMEs. The findings also indicate that the relationship between the determinants of Industry 4.0 and TBL sustainability can be mediated by the “effective implementation” of Industry 4.0. Recommendations The study highlights the practical consequences of the role and use of the determinants in Industry 4.0 implementation. Its findings help managers and policy-makers to optimize value creation to achieve sustainable development goals. Limitations and future research Focusing only on Malaysian manufacturing SMEs may restrict the generalization of the study; thus, a benchmarking analysis from other industrial settings is encouraged. The questionnaire-based survey is a further limitation of the study.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Industry 4.0 implementation and Triple Bottom Line sustainability: An empirical study on small and medium manufacturing firms

Jayashree

Reza

Malarvizhi

et al. 2021

Heliyon

View full text Add to dashboard Cite

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“…The IoTs is one of the most important components in Industry 4.0. IoT allows “things” and “objects,” such as sensors and machines, to interact with each other, share information and cooperate to reach common goals (Kagermann et al , 2013; Fedorov et al , 2015; Weyer et al , 2015; Hermann et al , 2016; Kang et al , 2016; Wang et al , 2016; Lu, 2017; Mittal et al , 2017; Thoben et al , 2017; Ghobakhloo, 2018; Saucedo-Martínez et al , 2018; Mittal et al , 2019). Closely related to IoT are CPS.…”

Section: Components Of Industry 40mentioning

confidence: 99%

“…It creates a network of objects and systems, communicating with each other over the internet with a designated address, and a virtual environment that is created by computer simulation of objects and behaviors in the real world. The important feature of these systems is to respond to any feedback generated (Lasi et al , 2014; Fedorov et al , 2015; Weyer et al , 2015; Hermann et al , 2016; Kang et al , 2016; Lu, 2017; Mittal et al , 2017; Thoben et al , 2017; Ghobakhloo, 2018; Mittal et al , 2019).…”

Section: Components Of Industry 40mentioning

confidence: 99%

“…Automation refers to achieving a process or procedure that is performed with minimal human assistance – with support from software, machines and robots. The benefits of automation include labor savings; savings in material costs; and improved quality, accuracy and precision (Fedorov et al , 2015; Kang et al , 2016; Mittal et al , 2017; Thoben et al , 2017; Ghobakhloo, 2018; Kusiak, 2018; Mittal et al , 2019). It is important to establish the generation of actions and information for the machine or robot from the information management systems (Bagheri et al , 2015; Fedorov et al , 2015; Brettel et al , 2016; Kang et al , 2016; Pereira and Romero, 2017; Thoben et al , 2017; Ghobakhloo, 2018; Kusiak, 2018; Saucedo-Martínez et al , 2018; Mittal et al , 2019).…”

Section: Components Of Industry 40mentioning

confidence: 99%

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Smart factories for single-family wooden houses – a practitioner’s perspective

Vestin

Säfsten

Löfving

2020

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Purpose The meaning of Industry 4.0 has started to be outlined for the construction industry, but there is still limited knowledge on the implications for the single-family wooden house building industry. The purpose of this paper is to expand the understanding of what the fourth industrial revolution implies for the single-family wooden house industry. The paper contributes with practitioners’ view of the content and meaning of a smart single-family wooden house factory. Design/methodology/approach An exploratory multiple case study was carried out at two Swedish single-family wooden house builders, combined with a traditional literature review. Findings As a result of a multiple case studies, the content and meaning of a smart single-family wooden house factory was elaborated on. In total, 15 components of a smart single-family wooden house factory were identified, of which 8 corresponded to the components of Industry 4.0 as described in other sectors. Research limitations/implications The study can be expanded to also include multi-family wooden house builders and other branches of the offsite wooden building industry. Practical implications Managers in the house-building industry who want to improve and strive for a smart single-family wooden house factory can learn from this study, get an insight of what other companies consider as important and how it relates to Industry 4.0. Originality/value To the best of the authors’ knowledge, this study is a first attempt to understand what Industry 4.0 mean and how it can be accomplished for the single-family wooden house offsite manufacturing industry.

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“…In previous literature of smart factory solutions, researches have presented solution departments of smart factory as factory field automation, factory operation and optimization in real time, production and process development, optimization of supply chain management, and enterprise resource management [15]- [18]. Finally, the smart technology of manufacturing fields can be explained as smart technology related to smart production, smart data, and smart operation in terms of the efficiency of product production, efficient demand response, and satisfaction of customer service.…”

Section: Related Researchmentioning

confidence: 99%

Measurement of Smart Technology Capability for Manufacturing Fields in a Smart Technology Environment

Yoon¹

2019

IJIEE

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In a smart technology world, manufacturing fields have established their smart technology environment appropriate for its manufacturing fields in order to reinforce its manufacturing efficiency and competitiveness. The smart technology ability of manufacturing fields is very crucial for the innovative production and operation activities, and for efficient enhancement of the manufacturing performance. A scientific measurement framework has been asked to efficiently gauge smart technology capability of manufacturing fields in order to effectively manage and enlarge its smart technology capability. The developed measurement scale for smart technology ability of manufacturing fields is verified by reliability analysis and factor analysis based on previous literature. This study presents an 11-item measurement tool that can examine the smart technology capability of manufacturing fields in a smart technology environment.

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Aspects of Smart Manufacturing Via Agent-based Approach

Cited by 18 publications

References 5 publications

Industry 4.0 implementation and Triple Bottom Line sustainability: An empirical study on small and medium manufacturing firms

Industry 4.0 implementation and Triple Bottom Line sustainability: An empirical study on small and medium manufacturing firms

Smart factories for single-family wooden houses – a practitioner’s perspective

Measurement of Smart Technology Capability for Manufacturing Fields in a Smart Technology Environment

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