Sustainability assessment of palm oil industry 4.0 technologies in a circular economy applications based on interval-valued Pythagorean fuzzy rough set-FWZIC and EDAS methods

Ibrahim, Hassan Abdulsattar; Zaidan, A. A.; Qahtan, Sarah; Zaidan, B. B.

doi:10.1016/j.asoc.2023.110073

Cited by 27 publications

(8 citation statements)

References 65 publications

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“…Integrating the technologies of Industry 4.0 within the circular economy framework is of utmost importance for effectively tackling the operational and sustainability obstacles faced by the palm oil industry. The automation, real-time data processing, and connectivity play a crucial role in augmenting the efficiency of palm oil production and facilitating the shift towards a circular economy [16,[18][19][20].…”

Section: Ce Principles and Their Relevance To The Palm Oil Industrymentioning

confidence: 99%

“…[31] Industry 4.0 integration Leverage automation, real-time data processing, and connectivity to optimize palm oil production, track resource use, and facilitate transition to circular practices. [16,[18][19][20]…”

Section: Holistic Supply Chain Approachmentioning

confidence: 99%

“…By integrating smart technologies, data analytics, and automation, the palm oil industry can enhance operational efficiency, reduce waste, and improve the valorization of by-products [16,17]. However, integrating these advanced technologies into a coherent circular economy framework remains an ongoing challenge, particularly in balancing the priorities of energy efficiency, cost-effectiveness, and sustainable production [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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Circular Economy Approaches in the Palm Oil Industry: Enhancing Profitability through Waste Reduction and Product Diversification

Siagian,

Wenten,

Khoiruddin

2024

J. Eng. Technol. Sci.

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Today, facing difficult environmental and sustainability questions, the palm oil industry is an important force in global trade and development. As a transformative solution to these problems, this review assesses the implementation of circular economy (CE) strategies. CE principles promote the transformation of waste into value through recycling, upcycling and other low-carbon innovation applications. This review estimates the capability of palm-based biomass, including palm oil mill effluent (POME) and refinery wastes. It evaluates how different technologies such as gasification are used to change these fuel sources into energy fuels and value-added products for industry. It also involves incorporating Industry 4.0 to boost efficiency and waste value creation into the operation. Although the potential of CE in creating an eco-friendly, profitable palm oil industry is apparent, nevertheless it must overcome all kinds and levels of barriers – from economic to technological to social. This review points out for collaborative efforts, technological advancement, and supportive policies to navigate these challenges, advocating for a unified shift towards sustainability and efficiency in the palm oil sector.

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Section: Ce Principles and Their Relevance To The Palm Oil Industrymentioning

confidence: 99%

Section: Holistic Supply Chain Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Circular Economy Approaches in the Palm Oil Industry: Enhancing Profitability through Waste Reduction and Product Diversification

Siagian,

Wenten,

Khoiruddin

2024

J. Eng. Technol. Sci.

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“…Based on these delineations, comparing the current systems from a single point of view would be unjust. Furthermore, the ranking of E-health systems is challenged by three important issues [19][20][21][22], namely, the presence of multiple evaluation properties [23][24][25], the significance of these properties [26][27][28], and the variety of data [29]. These issues must be addressed to fill the research gap that has been identified [30][31][32].…”

Section: Related Workmentioning

confidence: 99%

A Decision Cloud Ranking Approach Based on Privacy and Security in Blockchain E-Health Industry 4.0 Systems

Qahtan,

Yatim,

Osman

et al. 2023

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E-health Industry 4.0 systems ranking based on Blockchain is a multi-criteria decision-making (MCDM) problem, considering the multiple evaluation properties, their significance, and data variety. The final closeness between the evaluation sample and ideal solutions also constitutes an optimisation problem. To the authors’ knowledge, no study has provided a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems based on Blockchain. Consequently, this study proposes and discusses a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems, utilising the SFS-FWZIC method to address the significance of properties issue and the Grey-TOPSIS method to tackle data variation, multiple evaluation properties, and the ideal solutions optimisation problem. The methodology of the proposed approach consists of three sections. First, three decision matrices are constructed based on the intersection of E-health systems with the mentioned properties, intersecting Electronic Health Records (EHRs), Electronic Medical Records (EMRs), and Personal Health Records (PHRs) with seven properties. Second, the weights of each privacy and security property are calculated using the SFS-FWZIC method. Finally, the weights determined by the SFS-FWZIC method and the three decision matrices are input into the Grey-TOPSIS method to rank E-health systems across the three categories. The findings reveal the following: (1) The SFS-FWZIC method effectively assigned weights to privacy and security properties, with access control achieving the highest significance weight (0.1934) and Secure-search receiving the lowest weight (0.0603). (2) The Grey-TOPSIS method efficiently ranked E-health systems across the three categories based on various parameters, including α=0.1,α=0.3,α=0.5,α=0.7, and α=0.9. Sensitivity and correlation analysis were conducted to evaluate the results, revealing high correlation results based on each α value across all discussed scenarios of changing property weights. The implications of this study can lead to better decision-making, improved security and privacy, increased competition, and widespread adoption, ultimately contributing to more efficient and effective healthcare delivery.

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“…In decision-making sciences, MADM is a significant topic ( Xu et al, 2024 [ 14 ]; Bouraima et al, 2024 [ 15 ]; Lo et al, 2024 [ 16 ]; Kazemi et al, 2024 [ 17 ]; Önden et al, 2024 [ 18 ]; Wang et al, 2024 [ 19 ]; Ibrahm et al, 2024 [ 20 ]; Niaz Khan et al, 2024 [ 21 ]). There were many applications of MADM in different fuzzy frameworks discussed by mathematicians.…”

Section: Introductionmentioning

confidence: 99%

Multi-attribute decision-making method based on complex T-spherical fuzzy frank prioritized aggregation operators

Rizwan khan,

Ullah,

Raza

et al. 2024

Heliyon

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Sustainability assessment of palm oil industry 4.0 technologies in a circular economy applications based on interval-valued Pythagorean fuzzy rough set-FWZIC and EDAS methods

Cited by 27 publications

References 65 publications

Circular Economy Approaches in the Palm Oil Industry: Enhancing Profitability through Waste Reduction and Product Diversification

Circular Economy Approaches in the Palm Oil Industry: Enhancing Profitability through Waste Reduction and Product Diversification

A Decision Cloud Ranking Approach Based on Privacy and Security in Blockchain E-Health Industry 4.0 Systems

Multi-attribute decision-making method based on complex T-spherical fuzzy frank prioritized aggregation operators

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