Research on Design of the Smart Factory for Forging Enterprise in the Industry 4.0 Environment

Pei, Fengque; Tong, Yifei; He, Fazhi; Li, Dongbo

doi:10.5755/j01.mech.23.1.13662

Cited by 18 publications

(16 citation statements)

References 13 publications

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“…Hermann et al (2016) identified the critical components of IR4.0 as cyber-physical systems (CPS), Internet of things (IoT), Internet of services (IoS), artificial intelligence (AI), big data, and smart production, which are useful for the optimal modus operandi in the construction industry. The essence of IR4.0 is to ascertain intelligent and smart operations during production in which data classification is based on fuzzy clustering/neural networks and scheduling based on a genetic algorithm to revolutionize the management decision-making process (Fengque et al 2017). great wall, the Egyptians with their majestic pyramids, and the Romans with their sophisticated cities equipped with roads and waterways (Kwok 2018).…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 for the Construction Industry: Review of Management Perspective

et al. 2019

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Technology and innovations have fueled the evolution of the fourth industrial revolution (Industry 4.0). Industry 4.0 spurs growth and development through its efficiency capacity, as documented in the literature. The growth of the construction industry is a subset of the universal set of the value of gross domestic product, and thus, industry 4.0 has a spillover effect on the engineering and construction industry. The aim of this paper is to map the state of Industry 4.0 in the construction industry from the point of view of manarial activities, such as investment management, project preparation, and an overall approach to the management of related activities. This study employed scoping review techniques to dissect the status quo for Industry 4.0 and the construction industry. The empirical results from the systematic and scoping review methods for the ten sampled publications revealed that information and communication technology (ICT)—Industry 4.0—has a significant positive impact on the growth of the construction industry. Therefore, construction practitioners should partner more with researchers in the ICT industry to enhance the automation of work processes and managerial activities in the engineering and construction industry.

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Section: Introductionmentioning

confidence: 99%

Industry 4.0 for the Construction Industry: Review of Management Perspective

et al. 2019

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“…The difference of this topic by country is significant. Most of the articles describe the policies implemented in China and India (Nam et al, 2011;M€ uller and Herzog, 2015;Koerber, 2016;Mohan, 2016;Wang, 2016;Conrad, 2015, W€ ubbeke et al, 2016;Zhang et al, 2016;Fengque et al, 2017;Bishnoi, 2017;Zhong et al, 2017;Rajput, 2018). For the case of Brazil and Russia, there are also papers explaining each situation, but to a lower extent (Boutenko et al, 2013;Simachev et al, 2014;Gausemeier and Klocke, 2016;Veselovsky et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Specifically, several authors analyse the role of public policies in BRICS to foster the implementation of Industry 4.0 (e.g. Zhang et al, 2016;Fengque et al, 2017). Along this line, other research focuses on the analysis of case studies about Industry 4.0 (Calitz et al, 2107, among others).…”

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confidence: 99%

Catching the wave: Industry 4.0 in BRICS

Erro‐Garcés

Aranaz-Núñez

2020

JMTM

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PurposeThis research aims to conduct, to the best of our knowledge, the first systematic review of the implementation of Industry 4.0 in BRICS. This review facilitates the identification of main factors that affect the readiness to adopt Industry 4.0 in BRICS and the role of different agents, such as multinationals, the public sector or educative institutions.Design/methodology/approachKey publications published from 2010 to 2019 have been analysed. A total of 61 papers have been selected from the systematic review.FindingsThree factors of convergence of BRICS to developed economies in terms of Industry 4.0 are identified: (1) the public initiatives that can also result in the attraction of talent from developed countries to BRICS; (2) the role of multinationals and (3) the implication of educational institutions.Research limitations/implicationsThis review has some limitations. First, some grey literature, such as reports from non-governmental organisations and front-line practitioners' reflections, were not included. Second, only research studies in English were reviewedPractical implicationsThe heterogeneity of BRICS amongst themselves affects the implementation of Industry 4.0 policies. Therefore, public policies should differ among countries to achieve the different readiness of companies within each country. Industry 4.0 cannot be understood as a manufacturing strategy against delocalisation, as emerging countries, such as BRICS, are also aware of the potential of automation.Originality/valueBased on a systematic review, this article shows that the strategy created by Germany to increase industrial productivity has been also introduced in BRICS countries as a critical factor to improve their competitiveness.

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“…29 Turner et al 30 constructed a test platform using DES to make decisions for smart factories. Fengque et al 31 found an intelligent DES architecture to optimize the decision by sharing resource information between different processes. Hoad and Kunc 32 built a hybrid system combining the dynamic simulation and DES to offer a better understanding of real-world problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Process optimization through closed-loop Kaizen with discrete event simulation: A case study in China

Ming

Qiu

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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This article presents a closed-loop Kaizen system with discrete event simulation in the stage of design and reengineering of mass-customization production system. This approach contains four steps: current process analysis, production line design, discrete event simulation to solve the dynamic event questions, and implements and evaluation. The current process analysis and the production line design refer to the value stream mapping and the productivity analysis based on Kaizen principle, respectively. Production line designs are the modeling basis of discrete event simulation, and discrete event simulation feeds back results to the decision-makers to reduce waste and cost and improve the quality and productivity by reforming the production line. Therefore, by connecting the closed-loop Kaizen with discrete event simulation, the production line can be continuously and automatically improved. To demonstrate the potentials of the closed-loop Kaizen system, a case study was applied based on the original production layout and economic benefits were achieved. Moreover, this article indicates a direction for the full automation of process optimization.

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Research on Design of the Smart Factory for Forging Enterprise in the Industry 4.0 Environment

Cited by 18 publications

References 13 publications

Industry 4.0 for the Construction Industry: Review of Management Perspective

Industry 4.0 for the Construction Industry: Review of Management Perspective

Catching the wave: Industry 4.0 in BRICS

Process optimization through closed-loop Kaizen with discrete event simulation: A case study in China

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