Article
Computer Science, Interdisciplinary Applications
Hadi Gholizadeh, Hamed Jahani, Ahmad Abareshi, Mark Goh
Summary: This paper enhances the augmented epsilon-constraint approach with linearization using robust optimization and heuristics to maximize the total profit and minimize environmental effects of a sustainable closed-loop supply chain (CLSC) in the dairy industry. The study demonstrates that applying heuristic methods to large-scale problems can improve runtime by 25%. Additionally, the analysis shows that products with longer lifetimes can yield greater profits in worst-case scenarios compared to products with shorter lifetimes in optimistic scenarios.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Behrooz Khorshidvand, Hamed Soleimani, Soheil Sibdari, Mir Mehdi Seyyed Esfahani
Summary: This paper proposes a two-stage approach to address the issue of Closed-Loop Supply Chains, optimizing decisions on pricing, green quality, and advertising to achieve sustainable objectives such as maximizing profit, reducing CO2 emissions, and improving social impacts. The performance of the model is evaluated through various numerical examples, demonstrating significant improvements in sustainable objectives and reduced computational time for large-scale instances.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Yahia Zare Mehrjerdi, Mohammad Shafiee
Summary: This paper addresses the integration of sustainability and resilience in the supply chain, emphasizing the importance of information sharing and multiple sourcing strategies for enhancing supply chain resilience. The study utilizes fuzzy TOPSIS and a multi-objective mixed-integer programming model to optimize cost, energy consumption, and pollution while increasing job opportunities in the closed-loop supply chain. Real data from a tire industry is used to validate the proposed model, highlighting the necessity of combining sustainability and resilience in supply chain management.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Multidisciplinary
Javeria Ahmed, Saman Hassanzadeh Amin, Liping Fang
Summary: This paper proposes a new model for designing and optimizing a tire closed-loop supply chain network, taking into account multiple objectives. The model uses a decision-making method based on spherical fuzzy logic to determine the weighting factors of suppliers. By applying this model, optimal quantities for product flows and the number and locations of network facilities are computed in the Greater Toronto Area in Canada.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Automation & Control Systems
Reza Kiani Mavi, Seyed Ashkan Hosseini Shekarabi, Neda Kiani Mavi, Sobhan Arisian, Reza Moghdani
Summary: This study proposes a new multi-objective model to design a sustainable closed-loop supply chain network for recycling discarded tires. The study introduces six new multi-objective evolutionary algorithms to address large-scale network problems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Green & Sustainable Science & Technology
Rong Fu, Qiang (Patrick) Qiang, Ke Ke, Zuqing Huang
Summary: Closed loop supply chain (CLSC) is beneficial to the environment but complex, with most studies focusing on product homogeneity and involving single manufacturers, distributors, or retailers. Rarely do studies analyze CLSC with network structures involving multiple competing and coordinating agents. Inspired by recent business cases, a coupled CLSC network model for heterogeneous products facing different market demands is developed.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Green & Sustainable Science & Technology
Yigit Kazancoglu, Damla Yuksel, Muruvvet Deniz Sezer, Sachin Kumar Mangla, Lianlian Hua
Summary: This article introduces a complex multi-objective optimization model for green dual-channel supply chain network design, aiming to optimize network flow by achieving economic and environmental objectives. By reducing CO2 emissions and particulate matter concentration, environmental goals are met, while minimizing overall costs also meets economic objectives.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Sajad Karimi, Zaniar Ardalan, Omid Poursabzi, B. Naderi
Summary: Considering health and safety factors in supply chain network design is important for employee well-being and company reputation. This study connects the results of occupational safety and health research in the transport sector with supply chain network design, and incorporates health and safety factors as objective functions. A multi-objective closed-loop supply chain network model is formulated and solved using a customized algorithm, offering multiple choices for decision makers. The study concludes that incorporating health and safety factors in supply chain design can minimize health and safety risks, environmental pollution, and overall costs.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Sciences
Hamed Soleimani, Mahsa Mohammadi, Masih Fadaki, Seyed Mohammad Javad Mirzapour Al-e-hashem
Summary: This research investigates the design of a closed-loop supply chain under demand uncertainty, considering both cost and sustainability objectives, and employs multi-objective optimization and robust optimization methods. The results confirm that the proposed approach provides efficient solutions for designing a green closed-loop supply chain network.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Management
Yun Geon Kim, Byung Do Chung
Summary: The phenomenon of reshoring is enforced by governments in developed countries to strengthen the manufacturing industries and solve problems such as economic recession and job scarcity. Offshoring has become expensive for industries due to increasing labor and logistics costs and decreasing productivity in host countries. This study analyzes the effects of productivity-adjusted costs and reverse logistics on reshoring decisions, highlighting the influence of supply chain network facilities and the characteristics of both host and home countries. Companies should adopt right-shoring strategies considering reshoring drivers, while governments need discriminative budgeting strategies for promoting reshoring based on manufacturing processes and home country characteristics.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Environmental Sciences
Fariba Goodarzian, Peiman Ghasemi, Ernesto DR. Santibanez Gonzalez, Erfan Babaee Tirkolaee
Summary: Configuration of sustainable supply chains for agricultural products is a growing research field that lacks models integrating social impacts and environmental effects for citrus supply chain configuration. This study proposes a novel multi-objective Mixed-Integer Linear Programming model to design the sustainable citrus Closed-Loop Supply Chain network. The efficiency of suggested algorithms is tested using assessment metrics and convergence analysis, showing that the SPEA-II algorithm has superior efficiency over PESA-II.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Yande Gong, Mengze Chen, Zhe Wang, Jizhou Zhan
Summary: The study reveals that the deposit-refund system has a positive impact on the network platform in an electronic closed-loop supply chain. Cost savings from remanufacturing are crucial for maintaining supply chain stability. Centralized systems outperform others in terms of overall profits.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Behzad Mosallanezhad, Mostafa Hajiaghaei-Keshteli, Chefi Triki
Summary: Recent developments in the food industry have attracted attention from both academic and industrial practitioners. This paper focuses on shrimp as a well-known seafood and proposes a mathematical model for the Shrimp Supply Chain (SSC) to minimize total costs. The study utilizes various metaheuristics and conducts real-world applications to validate the effectiveness of the model and solution methods.
Article
Engineering, Industrial
Jie Wei, Weiyu Chen, Guoxin Liu
Summary: The study finds that in a closed-loop supply chain, the manufacturer's optimal integration strategy is to integrate the retailer and one collector, especially when collection competition is intense. This can improve the overall collection rate and maximize the surplus profit of the integration strategy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Environmental Studies
Mahsa Arabi, Mohammad Reza Gholamian
Summary: This research proposes a multi-period, multi-product mixed-integer quadratic programming problem to optimize a closed-loop stone supply chain network design, considering resilience and quality uncertainty. It also investigates the competition between local and imported stone prices. A case study on Iranian stone mining is conducted to demonstrate the efficiency and applicability of the proposed model. The results suggest that transportation costs have a greater impact on profit than operational costs, and West Azerbaijan and Isfahan have great potential in the stone industry.
Article
Engineering, Civil
Asadollah Rahmani, Seyed Mohammad Seyedhosseini
Summary: This study developed an index for the track turnout and switches structures conditions for the first time, based on field investigation and statistical analyses. The new index provides a better understanding of track safety level and cost-effective maintenance, optimizing repair planning for turnouts and crossings.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2021)
Article
Environmental Sciences
Hossein Beiki, Seyed M. Seyedhosseini, Leonardus W. W. Mihardjo, Seyed M. Seyedaliakbar
Summary: This study proposes a multiobjective mixed integer mathematical model for delivering pharmaceutical commodities to temporary relief centers with reliability assurance. By simultaneously optimizing response time, operational costs, and network reliability, the model demonstrates excellent performance in minimizing costs and increasing reliability for relief commodities location-routing problem.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Cybernetics
Sara Nodoust, Mir Saman Pishvaee, Seyed Mohammad Seyedhosseini
Summary: The research explores the complexity of demand uncertainty in distributing relief items after earthquakes through a robust scenario-based possibilistic-stochastic programming model. Results demonstrate a significantly higher demand satisfaction level compared to traditional scenario-based stochastic programming models.
Article
Green & Sustainable Science & Technology
Mahdi Rashidi, Seyed-Mohammad Seyedhosseini, Ali Naderan
Summary: The study focuses on researching the use of active transportation (walking or cycling) in America and Europe, particularly on the influence of latent variables. The results show the importance of psychological factors, such as feeling safe while riding at night, in increasing the utility of active transportation. The study also examines different variables, including subjective and latent variables, to provide insights for future researchers in modeling mode choice for active transportation.
Article
Engineering, Industrial
Fatemeh Delfani, Abolfazl Kazemi, Seyed Mohammad SeyedHosseini, Seyed Taghi Akhavan Niaki
Summary: The study introduces a multi-objective mathematical model to address hazardous waste management issues by simultaneously considering transportation and population risks as well as total costs. Additionally, a basic possibilistic chance-constrained programming method and a robust possibilistic programming model were developed to deal with parameter uncertainty. The robust possibilistic programming model outperformed the basic possibilistic chance-constrained programming model in obtaining better solutions for different scenarios and sensitivities.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2021)
Article
Engineering, Multidisciplinary
A. Aazami, M. Saidi-Mehrabad, S. M. Seyedhosseini
Summary: This study developed a bi-objective optimization model for integrated production-distribution planning of perishable goods under uncertainty, aiming to maximize profit while minimizing emissions. Through an integrated consideration of production, location, inventory, and transportation decisions, the model achieved a 37.5% increase in profit by balancing environmental and economic goals, as demonstrated in a case study.
INTERNATIONAL JOURNAL OF ENGINEERING
(2021)
Article
Engineering, Industrial
Lily Poursoltan, Seyed Mohammad Seyedhosseini, Armin Jabbarzadeh
Summary: This paper investigates a two-level closed-loop supply chain under vendor managed inventory contract and learning effects, formulating the problem with a mixed-integer nonlinear programming model and developing a hybrid metaheuristic. The results demonstrate the applicability and efficiency of the proposed hybrid algorithm compared to individual ones in this context, encouraging broader development and application of this approach.
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2021)
Article
Engineering, Industrial
Hossein Beiki, Seyed Mohammad Seyedhosseini, Vadim V. Ponkratov, Angelina Olegovna Zekiy, Sergei Anatolyevich Ivanov
Summary: This study introduces a novel integration of language entropy weight method (LEWM) and multi-objective programming (MOP) method to address a sustainable supplier selection and order allocation problem. By establishing an optimization model based on a real case study of automobile manufacturing, the proposed method considers economic, environmental, and social impacts simultaneously to achieve sustainability goals.
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2021)
Article
Development Studies
Hossein Khanjarpanah, Seyed Mohammad Seyedhosseini, Mohammad Saidi-Mehrabad
Summary: The feasibility of a photovoltaic project depends on strategic decisions such as the location of the power plant. A novel algorithm employing non-radial data envelopment analysis and a clustering method is proposed to select appropriate locations to establish photovoltaic sites, revealing Iran's high potential to generate photovoltaic energy and identifying locations close to high electricity consumption provinces for the establishment of photovoltaic sites.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2021)
Article
Engineering, Multidisciplinary
F. Delfani, A. Kazemi, S. M. Seyedhosseini, S. T. A. Niaki
INTERNATIONAL JOURNAL OF ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
H. Beiki, S. M. Seyedhosseini, V. R. Ghezavati, S. M. Seyedaliakbar
INTERNATIONAL JOURNAL OF ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
L. Poursoltan, S. M. Seyedhosseini, A. Jabbarzadeh
INTERNATIONAL JOURNAL OF ENGINEERING
(2020)
Article
Management
Ahmad Makui, Seyed Mohammad Seyedhosseini, Seyed Jafar Sadjadil, Parinaz Esmaeili
EURO JOURNAL ON DECISION PROCESSES
(2020)
Article
Engineering, Multidisciplinary
H. Beiki, S. M. Seyedhosseini, V. R. Ghezavati, S. M. Seyedaliakbar
INTERNATIONAL JOURNAL OF ENGINEERING
(2020)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)