Multi-objective optimization design of sustainable biofuel network with integrated fuzzy analytic hierarchy process

Ransikarbum, Kasin; Pitakaso, Rapeepan

doi:10.1016/j.eswa.2023.122586

Cited by 12 publications

(4 citation statements)

References 53 publications

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“…But in any case, one should choose a solution from the Pareto points that reflects the subjective preferences of the decision makers well. In this regard, the fuzzy analytic hierarchy process proposed in [28,29] is beneficial for weighting the objective functions and choosing the most desired solution from the Pareto solution set. The proposed method in this paper only extracted Pareto's dominant points but did not provide a framework for trade-offs between different solutions that were ultimately preferred by decision makers.…”

Section: Discussionmentioning

confidence: 99%

“…The effects of such policies alongside the technical innovation of increasing the lifetime of perishable products were researched in [27], where the latter exhibited a positive effect on the incorporated sustainable objective function. Planning facilities for eco-industrial parks [28] and modeling wood biomass supply chains [29] are among the new applications of sustainable design. The authors also presented the method of fuzzy analytic hierarchy process for determining the weight of the sustainable goals in their proposed mixed integer linear programming models.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Notably, in some real-world problems, some parameters, such as demand, are uncertain, in which case the proposed model needs fundamental adjustments. Also, we have assumed that all parameters have a predetermined value, but clearly, to estimate some parameters, such as the transportation costs between facilities, strong information sources such as geographic information systems (GIS) can be used [29]. Moreover, historical data are needed to determine the distribution rates of returned used products among remanufacturing, recycling, and disposal centers to establish the model.…”

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confidence: 99%

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A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

Arab Momeni,

Jain,

Bagheri

2024

Logistics

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Background: The growing concern for environmental and social issues has led to a focus on designing sustainable supply chains and increasing industrial responsibility towards society. In this paper, a multi-objective mixed-integer programming model is presented for designing a sustainable closed-loop supply chain. The model is aimed at the minimization of the total cost with the total used facilities, the negative environmental impacts, and the maximization of the positive social impacts. Methods: The epsilon-constraint method is utilized for solving the model and further extracting the Pareto solutions. Results: The result of the research clearly shows an optimal trade-off between the conflicting objectives, where, by paying more attention to the social and environmental aspects of sustainability, the total costs are increased or by optimizing the number of facilities, a better balance between the dynamics associated with the short-term and long-term goals is reached. The results of the sensitivity analysis also show that increasing the demand of the supply chain has the greatest impact on the supply chain costs compared to other objectives. Conclusions: Consequently, investigating such comprehensive sustainable objectives provides better insights into the impact of design variables on the expectations of stakeholders.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

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A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

Arab Momeni,

Jain,

Bagheri

2024

Logistics

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“…It is extensively employed in resource allocation, supply chain management, and operations research [92,93]. • Utility Theory: The idea of utility, which stands for the arbitrary value or pleasure obtained from a result, extends the anticipated utility theory concept.…”

Section: Classical Decision-making Theoriesmentioning

confidence: 99%

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management

Kaur,

Kumar,

Singh

et al. 2024

JSE

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The integration of Artificial Intelligence (AI) into sustainable energy management presents a transformative opportunity to elevate the sustainability, reliability, and efficiency of energy systems. This article conducts an exhaustive analysis of the critical aspects concerning the AI-sustainable energy nexus, encompassing the challenges in technological integration and the facilitation of intelligent decision-making processes pivotal for sustainable energy frameworks. It is demonstrated that AI applications, ranging from optimization algorithms to predictive analytics, possess a revolutionary capacity to bolster intelligent decision-making in sustainable energy. However, this integration is not without its challenges, which span technological complexities and socio-economic impacts. The article underscores the imperative for deploying AI in a manner that is transparent, equitable, and inclusive. Best practices and solutions are proposed to navigate these challenges effectively. Additionally, the discourse extends to recent advancements in AI, including edge computing, quantum computing, and explainable AI, offering insights into the evolving landscape of sustainable energy. Future research directions are delineated, emphasizing the importance of enhancing explainability, mitigating bias, advancing privacy-preserving techniques, examining socio-economic ramifications, exploring models of human-AI collaboration, fortifying security measures, and evaluating the impact of emerging technologies. This comprehensive analysis aims to inform academics, practitioners, and policymakers, guiding the creation of a resilient and sustainable energy future.

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An integrated scenario-based multi-period multi-objective mathematical model for a sustainable biomass supply chain network considering social factors and disruption risk under uncertainty

Doodman,

Soleimani,

Jolai

et al. 2024

Environ Dev Sustain

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Multi-objective optimization design of sustainable biofuel network with integrated fuzzy analytic hierarchy process

Cited by 12 publications

References 53 publications

A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management

An integrated scenario-based multi-period multi-objective mathematical model for a sustainable biomass supply chain network considering social factors and disruption risk under uncertainty

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