Internet of things for smart factories in industry 4.0, a review

Soori, Mohsen; Arezoo, Behrooz; Dastres, Roza

doi:10.1016/j.iotcps.2023.04.006

Cited by 125 publications

(48 citation statements)

References 88 publications

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“…Moreover, by failing to adopt a sufficiently long-term strategy on Industry 4.0, companies can hinder their long-term investments, and thus, increase costs, and decrease performance and flexibility (Moeuf et al. , 2018; Soori et al. , 2023).…”

Section: Discussionmentioning

confidence: 99%

“…Industry 4.0 shows much potential for flexibility and business performance (Patrucco et al, 2020;Fernando et al, 2023); however, emerging countries might face difficulties in the implementation of these technologies (Dalenogare et al, 2018;Fernando et al, 2022). Moreover, by failing to adopt a sufficiently long-term strategy on Industry 4.0, companies can hinder their long-term investments, and thus, increase costs, and decrease performance and flexibility (Moeuf et al, 2018;Soori et al, 2023). Ghobakhloo and Fathi (2020) emphasised the high cost of the digitisation process for organisations, particularly in the manufacturing sector, and the importance of the strategies aiming to improve long-run competitiveness.…”

Section: Theoretical Contributions and Implicationsmentioning

confidence: 99%

“…The previous research has recognised the effects of Industry 4.0 on increasing efficiency and minimising costs in supply chains (Li, 2018;Xu et al, 2018;Viriyasitavat et al, 2020;Bazan and Estevez, 2022); however, the research is still limited (e.g. Dalenogare et al, 2018;Chiarini et al, 2020;Soori et al, 2023). Other studies focused on the influence of Industry 4.0 on various aspects of supply chains, such as the reduction of manufacturing costs (Ghobakhloo, 2020), procurement costs (Bienhaus and Haddud, 2018;Ardito et al, 2019;Tang et al, 2022a), logistics and warehousing and storage costs (Dallasega et al, 2018;Jacob et al, 2023) and operational costs (Dalenogare et al, 2018;Soni et al, 2022); however, a less-studied aspect is the effects of Industry 4.0 on overall SCC (Fernando et al, 2022;Joshi and Sharma, 2022).…”

Section: Introductionmentioning

confidence: 99%

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The role of Industry 4.0 on supply chain cost and supply chain flexibility

Erboz

Hüseyinoğlu

2023

BPMJ

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PurposeIndustry 4.0 accelerates the performance of supply chains, in particular, the reduction in supply chain cost (SCC) and improvement in supply chain flexibility (SCF). The aim of this study is to examine the role of Industry 4.0 on SCC and SCF, using network theory to explain the interrelationships.Design/methodology/approachData were collected from 182 manufacturing firms in Turkey. The partial least square structural equation modelling (PLS-SEM) was employed in testing the research hypotheses.FindingsThe results showed that Industry 4.0 positively affects SCC; however, no direct relationship was found between Industry 4.0 and SCF. Moreover, SCC was found to have a positive impact on SCF, while SCC was found to mediate the relationship between Industry 4.0 and SCF. An additional finding was that customer integration (CI) moderates the relationship between Industry 4.0 and SCC; however, CI does not moderate the relationship between Industry 4.0 and SCF.Practical implicationsThe research validates the role of Industry 4.0 on supply chain processes and thus provides valuable insights into supply chain practitioners and decision-makers interested in Industry 4.0 for supply chain management.Originality/valueIn view of the limited number of studies, this study empirically contributes to the literature on the relationships among Industry 4.0, SCC, SCF and CI.

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Section: Discussionmentioning

confidence: 99%

Section: Theoretical Contributions and Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The role of Industry 4.0 on supply chain cost and supply chain flexibility

Erboz

Hüseyinoğlu

2023

BPMJ

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“…While AI offers immense potential for revolutionising demand forecasting, it is important to acknowledge its benefits and challenges. AI-driven demand forecasting can lead to reduced inventory costs, minimised stockouts, optimised production schedules, and improved customer satisfaction (Njomane & Telukdarie, 2022;Soori et al, 2023). However, implementing AI systems requires substantial initial investment, data infrastructure, and skilled personnel.…”

Section: Engineering Management In Production and Servicesmentioning

confidence: 99%

Generative AI in the Manufacturing Process: Theoretical Considerations

Doanh,

Dufek,

Ejdys

et al. 2023

Engineering Management in Production and Services

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The paper aims to identify how digital transformation and Generative Artificial Intelligence (GAI), in particular, affect the manufacturing processes. Several dimensions of the Industry 4.0 field have been considered, such as the design of new products, workforce and skill optimisation, enhancing quality control, predictive maintenance, demand forecasting, and marketing strategy. The paper adopts qualitative research based on a critical review approach. It provides evidence of the GAI technology support in the mentioned areas. Appropriate use of emerging technology allows managers to transform manufacturing by optimising processes, improving product design, enhancing quality control, and contributing to overall efficiency and innovation in the industry. Simultaneously, GAI technologies facilitate predictive analytics to forecast and anticipate future demand, quality issues, and potential risks, improve a marketing strategy and identify market trends.

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“…Flexible Production: Solar energy is a good source of flexible and reliable production. It responds to demand changes and does not require large investments in production facilities [6][7][8].…”

mentioning

confidence: 99%