Letter
Green & Sustainable Science & Technology
Sayan Mukherjee
Summary: This article provides comments on the paper by Govindan et al. (2013), which introduces a method for evaluating the sustainability performance of suppliers. It suggests using economic, environmental, and social factors for ranking and selecting suppliers, and proposes corrections to some of the equations used in the original study.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Behzad Masoomi, Masood Fathi, Figen Yildirim, Shahryar Ghorbani, Iman Ghasemain Sahebi
Summary: The supplier selection problem is crucial in renewable supply chain management. Choosing a strategic green supplier is important for sustainable development and resource optimization. This study uses a fuzzy best worst method and two other techniques to evaluate strategic suppliers based on their green capabilities, and the proposed framework is validated through a real-world case study.
ENERGY STRATEGY REVIEWS
(2022)
Review
Psychology, Multidisciplinary
Yumei Hou, Maryam Khokhar, Sayma Zia, Anshuman Sharma
Summary: In the past decade, the importance of sustainable supply chain management (SSCM) has been recognized by organizations and researchers due to factors such as consumers, profit and non-profit organizations, laws and regulations, and consumer social and corporate responsibilities. Supplier selection, environmental effects, and other SSCM programs can contribute to achieving the triple bottom line (TBL) of economic, environmental, and social advantages. This paper proposes a new framework for evaluating sustainable supplier selection (SSS) performance, encompassing all aspects of sustainability through comprehensive criteria and sub-criteria. The study suggests a fuzzy multicriteria approach to SSCM planning and utilizes the fuzzy TOPSIS method for qualitative performance evaluation. However, there is limited research on sustainability issues, particularly during the COVID-19 pandemic.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Mostafa Hajiaghaei-Keshteli, Zeynep Cenk, Babek Erdebilli, Yavuz Selim Ozdemir, Fatemeh Gholian-Jouybari
Summary: With limited resources and increasing competition, it is crucial for businesses to make environmentally responsible decisions. That's why they choose to use green and traditional selection criteria to select suppliers. Green Supplier Selection (GSS) involves selecting suppliers based on their environmental performance, leading to reduced environmental impact, improved reputation, compliance with regulations, and cost reduction. This study aims to propose a novel GSS approach for food business packaging operations, using a combination of literature review, criteria determination, and application of the Pythagorean Fuzzy Technique for Order Preference by Similarity to Ideal Solution (PF-TOPSIS) method.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Qianlong Zhao, Junyi Chen, Fulun Li, Aishu Li, Qian Li
Summary: The study evaluates the dynamic changes in China's maternal health status from 2004 to 2018, showing an overall improvement in maternal health care year by year, with the best performance from 2015 to 2018. Although the ranking values of various evaluation methods were slightly different, the overall trend was consistent.
Article
Construction & Building Technology
Ali RezaHoseini, Siamak Noori, Seyed Farid Ghannadpour
Summary: The study evaluates the green construction supply chain using a mathematical model while considering environmental impacts and uncertain factors. The paper also discusses the synergy between supplier selection and project planning, as well as operational challenges in the construction industry.
AUTOMATION IN CONSTRUCTION
(2021)
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
Mathematics
Erfan Babaee Tirkolaee, Zahra Dashtian, Gerhard-Wilhelm Weber, Hana Tomaskova, Mehdi Soltani, Nasim Sadat Mousavi
Summary: As competition intensifies, organizations aim to offer products at lower prices and higher quality, requiring consideration of environmental criteria in supplier selection. The study evaluates and rates suppliers using multi-criteria decision-making techniques, then uses multi-objective mixed-integer linear programming to determine optimal order quantities for each supplier.
Article
Management
Devesh Kumar, Gunjan Soni, Rohit Joshi, Vipul Jain, Amrik Sohal
Summary: In recent years, supply chains have been focusing on reconfiguring their networks to increase profitability. However, the COVID-19 pandemic has disrupted global supply chains, leading to supplier shortages and manufacturing disruptions. Past natural disasters have taught organizations to take precautions and develop risk mitigation strategies, and the COVID-19 outbreak highlights the importance of redefining viability strategies. The study demonstrates the modeling of viability in an automobile supply chain during the COVID-19 pandemic, considering sustainability and reconfigurability.
OPERATIONS MANAGEMENT RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Valentina Di Pasquale, Raffaele Iannone, Maria Elena Nenni, Stefano Riemma
Summary: Existing models for order allocation mainly consider environmental attributes and neglect economic and social attributes. Therefore, this paper proposes a model for green order allocation in a high operational variability supply chain, which considers uncertainty, limited capacity, minimum levels, and scores of suppliers, as well as emissions related to production, ordering, maintenance, and transport. The validation of the model shows that it achieves lower costs and TBL impacts compared to models that only consider TBL scores in supplier selection, thus helping firms increase sustainability throughout the supply chain.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Jianguo Du, Yasir Ahmed Solangi
Summary: The industries see green supply chain management (GSCM) as a way to achieve sustainable operations. However, there are barriers to the adoption of GSCM practices. This study proposes fuzzy-based multi-criteria decision-making approaches to evaluate and overcome these barriers in the textile manufacturing sector of Pakistan.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Economics
Xiaoli Tian, Meiling Niu, Weike Zhang, Lanhao Li, Enrique Herrera-Viedma
Summary: This paper proposes a novel TODIM method based on prospect theory and q-rung orthopair fuzzy set, with a new distance and a new evaluation index system, which shows good effectiveness in selecting green suppliers.
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
(2021)
Article
Computer Science, Artificial Intelligence
Sanjay Kumar, Asim Gopal Barman
Summary: The study evaluates the environmental performance of suppliers using fuzzy-based multi-criteria decision-making processes, generating overall scores for each alternative through TOPSIS and VIKOR methods. Sensitivity analysis is conducted to analyze the impact of criteria weights on environmental performance.
Article
Green & Sustainable Science & Technology
Torky Althaqafi
Summary: Supplier selection is a crucial process that involves choosing suppliers who can provide high-quality and cost-effective products or services, while also considering environmental and ecological issues. This study examines supplier evaluation strategies and selection criteria, proposing a novel methodology for assessing supply chain risk management. The incorporation of administrative observation and quantitative metrics leads to valuable insights into supplier sustainability performance and decision making.
Article
Computer Science, Artificial Intelligence
Ali Asghar, Khuram A. Khan, Marwan A. Albahar, Abdullah Alammari
Summary: Supplier selection is a critical decision-making process that directly affects the quality, cost, and reliability of products and services. To deal with uncertainties and vagueness, multi-criteria decision analysis and fuzzy logic have been used to select suppliers, helping organizations make informed decisions and mitigate risks associated with supplier selection.
PEERJ COMPUTER SCIENCE
(2023)
Article
Management
Mohammad Fattahi, Esmaeil Keyvanshokooh, Devika Kannan, Kannan Govindan
Summary: This study focuses on resource planning strategies, including the allocation and sharing of integrated healthcare resources and patients' transfer, to enhance the responsiveness of health systems during epidemics and pandemics. The research utilizes a multi-stage stochastic program to optimize various planning strategies for limited healthcare resources, and employs simulation and data-driven rolling horizon procedure to facilitate real-time decision-making. The results demonstrate that these strategies can significantly improve patient access to care during pandemics, and their significance varies in different situations.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Kannan Govindan, Arash Khalili Nasr, Mohammad Saeed Heidary, Saeede Nosrati-Abargooee, Hassan Mina
Summary: This paper introduces for the first time the barriers to implementing blockchain technology-based platforms in the healthcare sector from a balanced scorecard perspective, and prioritizes these barriers using a structural approach based on the weighted influence non-linear gauge system. The proposed approach is evaluated through ranking the barriers to BT adoption in the healthcare industry in Iran, and results indicate that financial issues, security issues, lack of expertise and knowledge, and uncertain government policies are the most important barriers.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Imran Ali, Kannan Govindan
Summary: This study explores the different impact of operational risks on firms that adopt Industry 4.0 technologies compared to those that do not. Using a sample of Australian agri-food supply chains, the findings reveal that the negative effect of operational risks is not significant for firms that adopt Industry 4.0 technologies.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Green & Sustainable Science & Technology
Navid Salmanzadeh-Meydani, S. M. T. Fatemi Ghomi, Seyedhamidreza Shahabi Haghighi, Kannan Govindan
Summary: This paper presents a method for evaluating the sustainability performance of an organization using PCA, NT, and statistical analysis. The results show that the factors related to the outcomes are of great importance for organizational performance, and there has been a decline in sustainability performance in recent years.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Business
Navid Zarbakhshnia, Kannan Govindan, Devika Kannan, Mark Goh
Summary: This study proposes an innovative method for evaluating sustainable third-party logistics service providers in order to achieve the goals of circular economy and environmental protection.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Review
Engineering, Industrial
Aboozar Jamalnia, Yu Gong, Kannan Govindan
Summary: Sub-suppliers' violation of sustainability standards can bring risks to focal firms, and in order to address this issue, a set of contingency variables influencing the effectiveness of sub-suppliers' sustainability management (SSM) approaches in multi-tier supply chain are identified. Hypotheses are formulated to explain how variation in these contingency variables impacts the effectiveness of each SSM approach. Practical implications and future research directions are also provided.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Green & Sustainable Science & Technology
Devika Kannan, Rahul Solanki, Jyoti Dhingra Darbari, Kannan Govindan, P. C. Jha
Summary: Due to the surge in electronic waste, ecological sustainability has become a top priority, leading electronic firms to adopt reverse logistics and invest in advanced technologies for sustainable recovery practices and carbon emissions reduction. This study proposes a multi-objective mixed integer programming model for a RL network design, considering multiple products, recovery facilities, processing technologies, and vehicle types. The model aims to minimize network cost and environmental impact, and incorporates green technologies for maximum return yield potential.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Industrial
Atif Saleem Butt, Imran Ali, Kannan Govindan
Summary: Contemporary business models require re-imagining the production and distribution of goods and services to incorporate social, economic, and environmental goals. This study examines the role of reverse logistics in the circular economy through multiple case studies and interviews with reverse logistics specialists in the UAE. The findings highlight the various contributions of reverse logistics, such as enabling circular product design, consolidating product volume to reduce waste, increasing product return rate and promoting recycling through innovative tools, and utilizing technological advances to trace products and reduce waste. The paper provides valuable insights for practitioners in building a circular economy and aligns with multiple United Nations Sustainable Development Goals.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Business
Kannan Govindan, Arshia Kaul, Jyoti Dhingra Darbari, P. C. Jha
Summary: Sustainable collaboration between manufacturer and supplier is crucial for increasing business efficiency. A theoretical framework is proposed in this study to analyze key performance indicators (KPIs) for developing sustainable collaboration. A novel three-phase supplier evaluation-selection model is also proposed to assess incumbent suppliers based on KPIs. The study evaluates suppliers based on KPIs with consideration of desirability and potentiality metrics, and considers selection strategies of retention, development, and switching. Research and managerial implications are drawn from the validation of the framework.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Economics
Sheng Wu, Zhen-Song Chen, Witold Pedrycz, Kannan Govindan, Kwai-Sang Chin
Summary: Probability weighting function (PWF) is the psychological probability of a decision-maker for objective probability, reflecting and predicting risk preferences in behavioral decision-making. The combination of parametric and nonparametric approaches to approximate PWF is rarely explored. This study introduces the Newton interpolation, a well-established mathematical approximation, to task-specifically match PWF. The nonparametric PWF model based on Newton interpolation exhibits an inverse S-shaped pattern and aligns with empirical analyses of decision-makers' risk preferences.
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
(2023)
Article
Green & Sustainable Science & Technology
Melissa Demartini, Marco Ferrari, Kannan Govindan, Flavio Tonelli
Summary: Greenhouse gas emissions and air pollution contribute to climate change and harm the planet and people. European countries are transitioning to electric cars to reduce emissions by 2050, but face challenges in redesigning supply chains, scarcity of raw materials, and impacts on employment and infrastructure. This study uses a model to evaluate the effects of the electric and net zero economy transitions on automotive supply chains and stakeholders, considering circular economy principles and various operations for different vehicle types. The results show that the transition requires circular economy implementation, which can generate business opportunities and reduce material consumption, but also has implications for job loss. It is crucial for companies and policy makers to use these findings to mitigate negative effects on employment and support workers with new skills and relocation in the supply chain.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Yun Arifatul Fatimah, Devika Kannan, Kannan Govindan, Zainal Arifin Hasibuan
Summary: This paper proposes a feature-based circular economy e-business model for improving ESG and sustainability performance. It suggests the use of indicators related to technical aspects of the circular economy process to reduce operating costs, resource pressure, environmental impact, and maximize social and economic impacts.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Business
Anshu Gupta, Nomita Pachar, Akansha Jain, Kannan Govindan, P. C. Jha
Summary: Sustainability is key for retail businesses, who must integrate operational efficiency with environmental and social concerns for long-term customer value. This research proposes resource reallocation models based on data envelopment analysis (DEA) to improve aggregated efficiency with sustainability in mind. The models integrate centralized and decentralized reallocation decisions based on input-output characteristics, and explore different scenarios depending on management objectives. The application of these models is demonstrated through a case study of a supermarket retail chain.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2023)
Review
Management
Kannan Govindan, Suresh P. Sethi, T. C. E. Cheng, Susan Feng Lu
Summary: The supply chain is susceptible to disruptions, like the COVID-19 pandemic, which can cause operational failure. It is crucial to investigate and monitor the associated risks and implement effective mitigation strategies. This special issue aims to provide valuable insights and optimized models for managing and minimizing the disruptive risks posed by epidemics in the supply chain.
Article
Management
Lei Fang, Yanlin Li, Kannan Govindan
Summary: This study examines the choices of two competing automakers in recycling spent power batteries. The fixed cost of battery treatment and government subsidies affect the selection of reverse channel structure. It is suggested that a one-time fixed cost subsidy could encourage the use of co-recyclers in the presence of high fixed cost.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
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)
