A Novel Hybrid Model for the Evaluation of Industry 4.0 Technologies’ Applicability in Logistics Centers

Miškić, Smiljka; Tadić, Snežana; Stević, Željko; Krstić, Mladen; Roso, Violeta

doi:10.1155/2023/3532862

Cited by 5 publications

(4 citation statements)

References 111 publications

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“…Studies have focused on the adoption of I4.0 technology [4][5][6], with methodologies such as DEMATEL-based ANP [5], modified SWARA and WASPAS techniques [6], and fuzzy DEMATEL-TOPSIS approach [7] being employed to investigate various aspects of I4.0 implementation. Other methodologies have also been proposed, including DANP and PROMETHEE II [8], hybrid AHP-VIKOR [9], q-ROF-MEREC-RS approach [10], q-ROF-CRITIC model [11], neutrosophic MCDM methodology [12], MEREC-fuzzy MARCOS model [13], and a new decision-making framework by Rani et al [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

Qiu¹,

Bouraima²,

Kiptum³

et al. 2023

JII

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Developed countries have successfully implemented various Industry 4.0 (I4.0) initiatives, showcasing their ability to reap the benefits of this new industrial revolution. Active pursuit of excellence in Industry 4.0 is evident in these nations. However, in Africa, many countries still lack a clear understanding of Industry 4.0, with some remaining trapped in Industry 1.0 and others facing challenges in transitioning to Industry 2.0. Moreover, a significant number of these African countries continue to grapple with limited access to reliable electricity. To address the issue, this study examines seven strategies identified as criteria for enhancing the adoption of Industry 4.0 within the East African Community (EAC). These strategies are derived from observations of Industry 4.0 initiatives implemented in developed countries. Subsequently, the criteria are used to evaluate and rank the level of Industry 4.0 adoption in two specific East African countries. To tackle the challenges of complex group decision-making, the study integrates the Weighted Aggregated Sum Product Assessment (WASPAS) technique with the Step-Wise Weight Assessment Ratio Analysis (SWARA) within a spherical fuzzy (SF) framework. The SF-SWARA approach is applied to determine the weight and importance of the criteria, while SF-WASPAS is employed to rank the countries based on the criteria weighted by SF-SWARA. According to the findings, it was revealed that education and training, research, development, and innovation, as well as public-private partnerships and policy innovation, are the three most influential strategies for significantly improving the adoption of Industry 4.0 within the East African community. Furthermore, the results indicate that Rwanda stands out as the leading country in terms of implementing these strategies to enhance the adoption of Industry 4.0 technology. To verify the reliability and suitability of the proposed methodology, a sensitivity analysis was conducted, which affirmed the stability and practicality of the suggested approach.

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Section: Literature Reviewmentioning

confidence: 99%

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

Qiu¹,

Bouraima²,

Kiptum³

et al. 2023

JII

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“…Industry 4.0 technologies are applied in various areas of logistics [9,16,17,18] and contribute to the transformation of logistics chains and systems. They are of increasing importance in reverse logistics [19,20,21], but also in the development of modern logistics centers [22,23,24], smart city logistics [25,26], etc. Many research studies examine how these technologies contribute to the realization of a circular economy within the logistics sector.…”

Section: Industry 40 I Logistics 40mentioning

confidence: 99%

Application of industry 4.0 technologies in home delivery: A review

Tadić,

Veljović,

Krstić

et al. 2023

J Appl Eng Science

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The development of the Internet has accelerated the development of electronic commerce, which has led to changes in the management of supply chains and logistics. Unlike traditional shopping trips, there is a need for home deliveries and appropriate logistics systems for their implementation. To overcome new challenges and achieve process efficiency and the quality of home delivery service, there is a need for individual or integrated application of various Industry 4.0 technologies such as the internet of things, additive manufacturing, autonomous vehicles, blockchain, big data, data mining, artificial intelligence, virtual and augmented reality, etc. Accordingly, this paper aims to provide a comprehensive overview and description of the application of technological solutions of Industry 4.0 in home delivery. This goal is achieved through a comprehensive literature review on the topic. The results indicate that although a large number of studies in the literature dealt with the application of individual or integrated Industry 4.0 solutions in home delivery or last-mile logistics, a comprehensive review of the application of existing solutions in home delivery has not been carried out so far. This is thereby the main contribution of this paper. Overview of the technologies application provides a basis for identification of those that have the widest possibilities and generate the most positive effects, and should thus be the focus of future studies and development plans.

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“…For economic attraction, logistics is growing daily with the help of information technology. Modern technology like IoT, big data and CC are crucial advantages for the logistics sector because they enhance efficiency and operation activities (Smiljka Miˇski´c, 2023). Intelligent logistics highlights the perception of modern logistics with big data, automation, the internet and AI.…”

Section: Introductionmentioning

confidence: 99%

Development of Logistics Technology: An Analysis based on the 4.0 Era

Shahparan,

Klykov,

Salnikova

et al. 2024

Int. J. Multidiscipline. Approach. Res. Sci.

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The paper explores the concept of the development of logistics technology based on 4.0 and how logistics is driven by technology. It aims to guide future research and assist managers in implementing the development of technology logistics 4.0 concepts. Qualitative methods are used in this paper. Data related to logistics technology was collected from different online sources. The evolution of logistics technology in the era of Industry 4.0 has been significant. Logistics 4.0, a concept emerging from Industry 4.0, focuses on the digital transformation of logistics management. Logistics technology like Artificial Intelligence, Machine Learning, and Big Data in logistics management to enhance and optimize processes and communication between different systems in logistics operations. The rapid advancement of Information Technology has played an essential role in promoting modern logistics information technologies.

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A Novel Hybrid Model for the Evaluation of Industry 4.0 Technologies’ Applicability in Logistics Centers

Cited by 5 publications

References 111 publications

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

Application of industry 4.0 technologies in home delivery: A review

Development of Logistics Technology: An Analysis based on the 4.0 Era

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