Article
Computer Science, Interdisciplinary Applications
Huai-Wei Lo, Ching-Fang Liaw, Muhammet Gul, Kuan-Yu Lin
Summary: This study proposes a two-stage multi-criteria decision-making approach for sustainable supplier evaluation and transportation planning in multi-level SCNs. The fuzzy multi-objective linear programming method is used to solve the supplier selection and transportation planning problem, effectively evaluating sustainable supplier performance and optimizing transportation planning in SCNs.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Feng Li, Chia-Huei Wu, Li Zhou, Guangshu Xu, Yongsheng Liu, Sang-Bing Tsai
Summary: A novel two-stage mathematical model has been developed for selecting suppliers and assigning order quantities, aiming to help enterprises manage uncertainty in SCRM. The approach involves primary selection of alternative suppliers and establishment of a multiobjective mathematical model for dynamic supplier selection and order allocation.
Article
Environmental Sciences
Vivek Kumar Chouhan, Shahul Hamid Khan, Mostafa Hajiaghaei-Keshteli
Summary: Many companies and organizations are estimating their contribution to global climate change and carbon emissions through carbon footprint projects, with carbon taxes being a powerful tool. Researchers are particularly interested in modelling supply chain networks under carbon taxes, inspired by the disorganized disposal of by-products from sugarcane mills.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Chong Wu, Yang Lin, David Barnes
Summary: This study proposes a hybrid multi-method and multi-criteria decision-making framework for sustainable supplier selection in the chemical industry. Specific methods such as Fuzzy Grey Relational Analysis, Failure Mode and Effects Analysis, and cloud computing-entropy weight method are used to analyze the economic, social, and environmental dimensions, respectively. The integration of evaluation results from these dimensions using the Decision-making Trial and Evaluation Laboratory can help managers choose more sustainable suppliers and maintain competitiveness in the market.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Environmental Sciences
Alireza Fallahpour, Sina Nayeri, Mohammad Sheikhalishahi, Kuan Yew Wong, Guangdong Tian, Amir Mohammad Fathollahi-Fard
Summary: This study introduces a fuzzy decision framework to investigate the sustainable-resilient supplier selection problem in the palm oil industry in Malaysia. A hyper-hybrid model is developed using FDEMATEL, FBWM, FANP, and FIS methods. The findings of the study indicate high performance of the proposed framework in identifying important criteria for supplier selection.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Bibhas Chandra Giri, Mahatab Uddin Molla, Pranab Biswas
Summary: The paper presents a DEMATEL method based on Pythagorean fuzzy set for solving the supplier selection problem in sustainable supply chain management. The method considers handling uncertainty and incomplete information, as well as dealing with the fuzziness of human decisions. The proposed method allows for identifying the cause-effect components of the system.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Business
Over Manuel Montes Causil, Danielle Costa Morais
Summary: The research proposes a precise food supplier sorting model using Value-Focused Thinking (VFT) and Flexible and Interactive Tradeoff (FITradeoff) method to improve the operation of suppliers and achieve sustainable development. The suppliers are categorized into sustainable suppliers, suppliers in the path of development, and non-green suppliers. The model is found to be useful in designing green programs for each supplier category and suggesting a strategic direction for a greener food supply chain.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Tai-Wu Chang, Chun-Jui Pai, Huai-Wei Lo, Shu-Kung Hu
Summary: This paper proposes a sustainable supplier evaluation and selection framework for electronics manufacturing, including four dimensions of economic, social, environmental, and institutional sustainability. By integrating a modified method that combines attribute ratio analysis and the preference ranking organization method, an improved hybrid decision-making analysis model is developed.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Victoria Muerza, Luca Urciuoli, Sebastian Zapata Habas
Summary: This paper develops a simulation model to evaluate the performance of an IBLC in Spain. Results show increased profits of about 55.7% and reduced environmental emissions of 24.2% per tonne of bio-commodity produced. The scientific contribution lies in the dynamic supplier selection model based on social, environmental, and economic criteria, as well as the integration of supplier selection and operations evaluation for the IBLC.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Artificial Intelligence
Zilong Shang, Xiaoying Yang, David Barnes, Chong Wu
Summary: This paper proposes a novel fuzzy MULTIMOORA-based method for sustainable supplier selection (SSS). The method combines subjective and objective approaches to determine criteria weightings and introduces an improved fuzzy MULTIMOORA method to rank alternative suppliers. The practicality and effectiveness of the proposed method is verified in an illustrative application.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Mathematics
Jui-Fang Chang, Chao-Jung Lai, Chia-Nan Wang, Ming-Hsien Hsueh, Van Thanh Nguyen
Summary: Choosing a supplier is a complex decision-making process that can be supported by using multicriteria decision-making models. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. The study results show that supplier 08 is the optimal supplier, and this approach can also be applied to support complex decision-making processes in different industries.
Article
Engineering, Industrial
Li Cui, Hao Wu, Jing Dai
Summary: Supplier selection is a crucial decision for buying companies' sustainable supply chain strategy. It is important for buying companies to extend their sustainable supply chain plan to multitier suppliers and develop multitier sustainable supply chain management. Sustainable supplier selection can enhance the sustainable competitiveness of supply chains, but there are few theoretical studies on this topic under multitier sustainable supply chain management.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Yigit Kazancoglu, Yucel Ozturkoglu, Sachin Kumar Mangla, Melisa Ozbiltekin-Pala, Alessio Ishizaka
Summary: Supply chains have become globalized and multi-tiered, leading to increased complexity. This study contributes by examining the role of weight determination and evaluation of alternative suppliers in managing multi-tier supply chains. Additionally, a multi-stage framework based on sustainability concerns is proposed.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Qiurui Liu, He Huang, Ziqiang Zeng, Lin Chen, Junren Ming
Summary: This paper addresses a sustainable supplier selection problem faced by a transportation authority, where the buyer aims to maximize sustainable objectives. The study investigates the changes in design and quality requirements and their impact on supplier selection in the public transport production industry. The multi-objective particle swarm optimization (MOPSO) approach is utilized to solve the problem under uncertainty. The proposed model demonstrates the potential to reduce supply chain risks and integrates sustainability into supplier selection, considering design uncertainty and environmental factors.
EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING
(2023)
Article
Operations Research & Management Science
Dragan Pamucar, Ali Ebadi Torkayesh, Sanjib Biswas
Summary: This paper proposes a novel decision-making approach for supplier selection during the COVID-19 pandemic. The approach utilizes MACBETH and a new combinative distance-based assessment method, and incorporates fuzzy rough numbers to handle the uncertainty of decision-making problems. A case study of a hospital in Istanbul validates the applicability of the approach.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Daniela Sani, Sara Picone, Augusto Bianchini, Fabio Fava, Patricia Guarnieri, Jessica Rossi
Summary: The paper analyzed the efforts towards transitioning to a circular economy in the Emilia-Romagna Region, Italy, considering technological, legal-regulatory, and financial aspects under a market orientation. Additionally, the main initiatives related to the circular economy and areas of interest were highlighted.
Article
Mathematics
Claudio Moura Silva, Sergio Ronaldo Granemann, Patricia Guarnieri, Gladston Luiz Da Silva
Summary: The vast Brazilian territory and the economic growth of its interior cities have provided favorable conditions for the expansion of regional aviation. This study presents a multicriteria decision aid model to assess the attractiveness of cities for receiving investments in regional airports. It offers a systematic approach for decision-makers and contributes to logistics and infrastructure decision-making.
Book Review
Business
Omar Ouro-Salim, Patricia Guarnieri
Summary: This study examines the progress made in the international literature on the circular economy of food waste through a systematic literature review. The authors found that different mathematical models, treatment methods, and frameworks were proposed by most researchers to explain the processes related to waste and the circular economy. Furthermore, in the fields of business, management, and accounting, the focus of circular economy initiatives for food waste is on value creation and energy optimization. This study provides a preliminary understanding of the circular economy of food waste in business, management, and accounting.
THUNDERBIRD INTERNATIONAL BUSINESS REVIEW
(2022)
Article
Green & Sustainable Science & Technology
Augusto Bianchini, Patricia Guarnieri, Jessica Rossi
Summary: This paper proposes a framework for assessing social indicators to support circular business models and validates it through a case study. The framework covers a wide range of social indicators, including corporations, communities, consumers, suppliers, human rights, and human resources, and analyzes the indicators at the strategic, tactical, and operational levels.
Article
Green & Sustainable Science & Technology
Patricia Guarnieri, Barbara de Oliveira Vieira, Giselle Cappellesso, Solange Alfinito, Lucio Camara e Silva
Summary: This study analyzes the differences in consumer habits of Brazilian electrical and electronics equipment, as well as the relationship between these habits and knowledge of waste management legislation. The results show that habits and legislation knowledge have an impact on consumer behavior in waste disposal and reverse logistics. This is valuable for developing strategies to mitigate negative environmental impacts.
Article
Green & Sustainable Science & Technology
Patricia Guarnieri, Lucio Camara e Silva, Fazli Haleem, Augusto Bianchini, Jessica Rossi, Brian Vejrum Waehrens, Sami Farooq, Edgar Reyes, Andre Luiz Nascimento Reis, Barbara de Oliveira Vieira
Summary: This paper aims to develop and validate a questionnaire to measure the prioritization of strategies to transitioning towards a circular economy and to compare different countries. The validation was conducted through semantic validation by experts and statistical validation by survey respondents. The questionnaire seems to be a reliable and valid tool for analyzing which circular economy strategies countries prioritize. This study is the first one to validate the circular economy instrument at the macro level.
Article
Energy & Fuels
Flavio Trojan, Pablo Isaias Rojas Fernandez, Marcio Guerreiro, Lucas Biuk, Mohamed A. Mohamed, Pierluigi Siano, Roberto F. Dias Filho, Manoel H. N. Marinho, Hugo Valadares Siqueira
Summary: This paper compares the multi-criteria method ELECTRE TRI with clustering algorithms to define initial thresholds for the ELECTRE TRI method. The results show that the Fuzzy C-Means algorithm is more suitable for achieving the desired response. This study provides a relevant procedure for defining initial boundaries in multi-criteria sorting methods based on datasets from specific applications, and it is a new development in pre-defining the initial limits of classes for the sorting problem in multi-criteria approaches.
Article
Energy & Fuels
Carolina Deina, Joao Lucas Ferreira dos Santos, Lucas Henrique Biuk, Mauro Lizot, Attilio Converti, Hugo Valadares Siqueira, Flavio Trojan
Summary: Efficient policies for forecasting electricity demand are crucial for ensuring continuous energy supply. However, the selection of independent variables remains an unresolved issue. This study proposes a model that integrates a multi-criteria approach and artificial neural networks to forecast electricity demand in different countries, considering the specificities of each application. The results show that including variables selected by the multi-criteria approach improves the forecasting performance of artificial neural networks compared to traditional linear models, with Radial Basis Function Networks and Extreme Learning Machines being potential techniques to enhance the forecasting.
Article
Green & Sustainable Science & Technology
Emilia Faria, Cristiane Barreto, Armando Caldeira-Pires, Jorge Alfredo Cerqueira Streit, Patricia Guarnieri
Summary: This study aims to analyze the behavior of organizations in implementing industrial symbiosis in the Circular Economy Pilot Project in Brazil. The study found that the industrial symbiosis network is still in its early stages, with limited connections between industrial actors. The factors influencing organizational behavior include laws and sanctions, economic viability, and social interaction. The study suggests that improving governance structures, regulatory frameworks, and collective engagement is crucial for the project's continuity.
Article
Green & Sustainable Science & Technology
Patricia Guarnieri, Augusto Bianchini, Jessica Rossi, Lucio Camara e Silva, Flavio Trojan, Mauro Lizot, Barbara de Oliveira Vieira
Summary: This paper analyzes current policies, strategies, and initiatives related to the transition towards a circular economy using a multicriteria method and New Institutional Theory. It compares the realities in Italy and Brazil and finds that Italy is more proactive and institutionalized, while Brazil is reactive and less institutionalized. The research provides helpful insights for researchers and practitioners involved in circular economy strategy and policymaking.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Maiquiel Schmidt de Oliveira, Mauro Lizot, Hugo Siqueira, Paulo Afonso, Flavio Trojan
Summary: Oil and gas refineries are crucial to the economy, but a lack of efficiency analysis can have negative impacts. Studying efficiency can reduce environmental and social impact and achieve green transition goals.
Article
Social Sciences, Interdisciplinary
Jaime Ferreira da Silva Neto, Amanda Cristina Gaban Filippi, Patricia Guarnieri
Summary: This study investigates the dynamics and knowledge of BlockChain technology in the agri-food market in Brazil. The findings reveal that currently no organizations apply BlockChain in their processes and only a minority have knowledge of its existence. The research describes and explores new markets for BlockChain in agri-food chains and contributes to future strategic research for businesses.
REVISTA TECNOLOGIA E SOCIEDADE
(2022)
Article
Management
Amanda Cristina Gaban Filippi, Patricia Guarnieri, Cleyzer Adrian da Cunha, Alcido Elenor Wander
Summary: This article examines the collective action of rural condominiums in the context of Brazilian agribusiness. The research reveals that this collective action is beneficial for rural businesses and small producers, as it improves efficiency, provides economic and social benefits, and reduces costs while increasing profits.
Article
Management
Jorge Alfredo Cerqueira-Streit, Gustavo Yuho Endo, Patricia Guarnieri, Luciano Batista
Summary: This paper examines the transition from traditional to circular economy in value chains post COVID-19, highlighting the potential value of integrating circular economy principles in sustainable supply chain management. Results show the categorization and discussion of changes in product lifecycle, presenting insights for industries, cities, and businesses.
Article
Engineering, Environmental
Yui Kawasaki, Sayaka Nagao-Sato, Misa Shimpo, Kahori Fujisaki, Emi Yoshii, Rie Akamatsu, Petra Warschburger
Summary: This study qualitatively describes sustainable dietary behaviors (SDBs) that Japanese and German adults can implement in their lives, and quantitatively compares the similarities and differences in understanding SDBs between the two samples. The study found that Japanese participants were more focused on food waste prevention, while German participants were more focused on solving environmental problems.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kechun Chen, Yuan Ding, Liming Yang, Zhihao Wang, Haoxuan Yu, Difan Fang, Yufa Feng, Liying Hu, Chenxi Xu, Penghui Shao, Xubiao Luo, Liang Chen
Summary: This study proposes a targeted repair scheme for the recovery of graphite anodes from spent LIBs by systematically characterizing and analyzing the structure and composition of spent graphite (SG). The results show that the repair scheme achieves effective SG repair and the repaired graphite anode displays excellent lithium storage performance.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Takao Ueda, Shigeki Koyanaka, Tatsuya Oki
Summary: Fires caused by accidental crushing of batteries are a serious issue in the e-waste recycling process. A new in-line sorting system that uses X-ray scanning and deep learning has been developed to accurately detect batteries. Through a validation study, the system achieved higher accuracy compared to other existing programs.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Hannes Geist, Frank Balle
Summary: Research on circular economy often lacks empirical data, especially in the theory of circular process design and design for remanufacturing. This study systematically collected and analyzed engineering data on seven remanufacturing processes in the European automotive remanufacturing industry for the first time, providing empirical support for circular engineering challenges, potentials, and solutions.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Xiaojing Li, Fan Lue, Nanlin Liao, Hua Zhang, Na Yang, Pinjing He
Summary: This study assesses and predicts the greenhouse gas emissions on the timeline as waste treatment technologies develop in Shanghai from 1991 to 2025 using the Life Cycle Assessment (LCA) methodology. The findings demonstrate that GHG emission has reached net-zero in 2019 owing to the application of alternative technologies and waste segregation.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Bingchun Liu, Haoyang Wang, Xiaoqin Liang, Yibo Wang, Zijie Feng
Summary: The expansion of the photovoltaic market has resulted in a significant increase in PV waste. Therefore, conducting scientific research to determine the importance of the circular economy for sustainable growth in the PV industry is essential. The study demonstrates that accurate prediction of PV installed capacity and quantifying the importance of recycling in balancing the supply and demand of raw materials can be achieved through a multi-factor installed capacity prediction model and recovery potential prediction.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Review
Engineering, Environmental
Chuanzhen Zhang, Baojing Gu, Xia Liang, Shu Kee Lam, Yi Zhou, Deli Chen
Summary: Reactive nitrogen is crucial for agriculture and human nutrition, but mismanagement can have detrimental effects on human health and ecosystem services, hindering the achievement of the 2030 Sustainable Development Goals. Progress towards nitrogen-related targets varies across countries, highlighting the need for integrated management to achieve overall synergies.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Alessandro Gatto, Marijke Kuiper, Corina van Middelaar, Hans van Meijl
Summary: This study examines the economic and environmental effects of transitioning towards more circular food systems in the European Union (EU27) by feeding animals with low-opportunity-cost feed and better utilizing local feed resources. The results show that providing subsidies for circularity and promoting the use of low-cost feed can increase animal production, but also have negative impacts on land use and emissions. On the other hand, promoting domestic feed sourcing through import tariffs can decrease animal production and greenhouse gas emissions in agriculture. However, complementary policies are needed to mitigate drawbacks and enhance benefits of a more circular agri-food system.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Jinbo Zhang, Liu Chen, Yulei Xie, Pingjian Yang, Zheng Li, Huaicheng Guo, Yang Zhang, Lirong Liu
Summary: This study examines the impact of carbon taxes on low-carbon development and climate change mitigation. By constructing a cross-system bi-layer model, the study finds that reasonable carbon taxes can promote the stability of the energy network, reduce carbon emissions and air pollutants, and optimize production efficiency and the structure of the energy system. This study contributes to a better understanding of the effects and implementation pathways of carbon taxes.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Konstantin Born, Mehmet Metehan Ciftci
Summary: Increasing recycling of metals is important for reducing reliance on mining, but it cannot fully meet future metal demand. Primary production of metals is expected to continue rising, highlighting the need for alternative circular economy strategies such as demand reduction and mitigating harmful impacts of primary metal production.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Yinqiu Ma, Lin Huang, Jiahui Li, Wei Cao, Yumei Cai
Summary: Afforestation and reforestation, such as China's Grain for Green Program, have shown to effectively mitigate greenhouse gas emissions and contribute to carbon sink capacity. This study highlights the significant carbon potential of the program and its potential application in other countries to reduce CO2 in the atmosphere.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Arlind Dervishaj, Kjartan Gudmundsson
Summary: This paper reviews digital tools for supporting the Circular Economy (CE) in the built environment and provides suggestions. The study identifies limitations in the functionalities of current tools, including a lack of representative data for LCA and underdeveloped circularity indicators. Further development is needed in terms of interoperability aspects, integration of more sources of data for LCA and circularity, and possibilities for a comprehensive evaluation of design choices.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Mohamadreza Y. Azarfam, Anuj Maheshwari, Frank D. Blum, Siddhesh Chaudhari, Clinton Switzer, Ranji Vaidyanathan, Jay C. Hanan, Sudheer Bandla
Summary: This study introduces a feasible method for manufacturing recycled composites using post-consumer carpets and recycled resin. The resulting composites have impressive strength and modulus, surpassing commercial thermoplastics and making them suitable for structural applications. This research presents a promising approach to address carpet landfilling and reduce reliance on additives.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Pujiang Shi, Tianle Huang, Hong Kit Lim, Chiew Kei Tan, Jong-Min Lee, Chor Yong Tay
Summary: This study developed a highly porous bioadaptive 3D sponge-like construct from plastic materials in discarded keyboards for advanced in vitro applications. The findings demonstrate the potential of using discarded keyboards as a waste-to-resource feedstock to achieve waste reduction and maximize value-capture.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kuo-Jui Wu, Hailing Qiu, Caiyan Huang, Anthony S. F. Chiu, Ming-Lang Tseng
Summary: Government resource allocation practices for achieving carbon neutrality should be guided by dynamic system theory to identify potential dynamics. Carbon intensity control dynamics have a significant influence on other dynamics.
RESOURCES CONSERVATION AND RECYCLING
(2024)