A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data

Tavana, Madjid; Sohrabi, Maryam; Rezaei, Hamid; Sorooshian, Shahryar; Mina, Hassan

doi:10.1111/exsy.13395

Cited by 9 publications

(2 citation statements)

References 60 publications

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“…Sonar et al 33 applied the decision making trial and evaluation laboratory approach to examine the factors for EV purchase and discovered charging time, driving range and price as the primary factors affecting EV adoption. Tavana et al 34 used the Internet of Things and big data to design a sustainable supply chain model for EV battery production-a fuzzy bi-objective mixed-integer linear programming model for manufacturing, remanufacturing, and distributing EV lithium-ion batteries.…”

Section: Literature Reviewmentioning

confidence: 99%

Grey hybrid normalization with period based entropy weighting and relational analysis for cities rankings

Esangbedo,

Wei

2023

Sci Rep

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Researchers have addressed uncertainty in multicriteria decision making from the perspective of the performance values of the alternatives, weighting of the evaluation criteria, and the evaluation methods. Still, they are yet to address the uncertainty caused by the normalization approach. In this paper, we show that different normalization methods, namely sum normalization, min–max normalization, vector normalization, and maximization normalization, can result in different rankings of the alternatives while the performance values and weights are unchanged. We applied the grey system theory to address the problem of uncertainty in this study from three aspects: alternative performance values measurement, criteria weighting, and decision matrix/table normalization within a period. The grey hybrid normalization method is proposed as the main contribution in this paper. Then, we present the rankings of 48 cities under uncertainty to decide the location of a branch office of a Chinese electric vehicle manufacturer as a practical example based on the grey entropy weighting method and grey relational analysis with positive and negative references (GRA-PNR) within the period from the year 2019 to 2021. The research results using this approach ranked New York City the best, with a stock market capitalization of economy validity as the top contributor in terms of weighting. Finally, we used simple additive weighting with grey value and the technique for order of preference by similarity to ideal solution with grey value methods to validate the study results.

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Section: Literature Reviewmentioning

confidence: 99%

Grey hybrid normalization with period based entropy weighting and relational analysis for cities rankings

Esangbedo,

Wei

2023

Sci Rep

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“…In the fourth article 'A Sustainable Circular Supply Chain Network Design Model for Electric Vehicle Battery Production using Internet of Things and Big Data', Tavana et al (2023) elucidate the integration of IoT and big data in designing a sustainable supply chain for electric vehicle battery production. This research paves the way for environmentally conscious practices in the electric vehicle industry.…”

Section: Contents Of the Special Issuementioning

confidence: 99%

Data science approaches for sustainable development

Strazzullo,

Cortez,

Moro

2024

Expert Systems

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In today's fast-evolving world, the intersection of technological innovation and sustainable development has emerged as a beacon of hope for addressing global challenges. The application of data science in this context represents a powerful and transformative force, amplifying our capabilities to navigate complex societal and environmental issues. This Special Issue of Expert Systems on 'Data Science for Sustainable Development' is a testament to the dynamic and promising fusion of these disciplines. This last analysis examines how data science tools contribute to achieving the objectives established in September 2015 by the United Nations General Assembly, UN, within the document known as the 2030 Agenda for Sustainable Development. The objective of the Agenda is to achieve a level of growth for all countries, such as guaranteeing a sustainable future, through objectives that can be summarized in three main groups, namely the environmental, economic, and social, in the perspective

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Unveiling barriers to the integration of blockchain‐based circular economy and Industry 5.0 in manufacturing industries: A strategic prioritization approach

Kannan,

Amiri,

Shaayesteh

et al. 2024

Bus Strat Env

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Although Industry 4.0 plays the role of a catalyst in the transition from a linear economy to a circular economy (CE), some sustainability goals are neglected by prioritizing machines over humans. Industry 5.0 insists on combining technology with human values to achieve sustainable development goals. Therefore, the integration of CE and Industry 5.0 leads to sustainable synergy in various industries, especially in manufacturing industries. However, their integration is always associated with challenges and barriers. This study identifies a set of these barriers in the electric vehicle battery production industry from the financial, technical, supply chain, cultural, and regulatory and processes perspectives through a deep literature review. The fuzzy weighted influence non‐linear gauge system method is used to analyze the relationship between identified barriers and their prioritization. Finally, we leverage the knowledge of four experts from an electric vehicle battery manufacturing company in Southeast Asia to validate the proposed approach and to rank the barriers. The results demonstrate that immature technology providers are the biggest obstacle in the integration of blockchain‐based CE and Industry 5.0 in the electric vehicle battery manufacturing industry.

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A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data

Cited by 9 publications

References 60 publications

Grey hybrid normalization with period based entropy weighting and relational analysis for cities rankings

Grey hybrid normalization with period based entropy weighting and relational analysis for cities rankings

Data science approaches for sustainable development

Unveiling barriers to the integration of blockchain‐based circular economy and Industry 5.0 in manufacturing industries: A strategic prioritization approach

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