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A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

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Analyzing critical success factors for sustainable green supply chain management

Vivek Agrawal et al.

Summary: Green supply chain management is crucial for achieving sustainable development. This paper analyzes the critical success factors for effective adoption of sustainable green supply chain management practices in the Indian brass manufacturing industry. The research highlights top management commitment as the most important factor and identifies reverse logistics management as the key driver for successful implementation of sustainable green supply chain management practices.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2023)

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Article Automation & Control Systems

An Enhanced Social Engineering Optimizer for Solving an Energy-Efficient Disassembly Line Balancing Problem Based on Bucket Brigades and Cloud Theory

Guangdong Tian et al.

Summary: This article proposes a bucket brigades disassembly line balancing optimization method that considers uncertainty, using a cloud model to represent uncertain disassembly time. The proposed method handles multiple objectives, such as smoothness, cost, and energy consumption, to be minimized. It also innovates a new heuristic method based on the social engineering optimizer to solve this complex problem.

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Article Computer Science, Interdisciplinary Applications

Low-carbon VRP for cold chain logistics considering real-time traffic conditions in the road network

Qinyang Bai et al.

Summary: This study proposed a low-carbon cold chain logistics routing optimization model considering the complexity of the road network and time-varying traffic conditions. The results show that the model can accurately assess distribution costs and carbon emissions, providing guidance for logistics companies and governments.

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Article Green & Sustainable Science & Technology

An integrated decision making approach for the selection of battery recycling plant location under sustainable environment

S. Umar Sherif et al.

Summary: This research proposes a three-stage hybrid methodology combining ISM, fuzzy AHP, and fuzzy COPRAS methods to select the best sustainable location for a battery recycling plant in India. With the evaluation of expert opinions, literature review, and field visit data, important sustainable criteria and sub-criteria were identified, and corresponding methods were applied to calculate criteria weights and select the best sustainable location.

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Computer Science, Artificial Intelligence

Green supplier selection in new era for sustainability: A novel method for integrating big data analytics and a hybrid fuzzy multi-criteria decision making

Abdullah Yildizbasi et al.

Summary: Environmentally conscious supplier selection has become increasingly important in supply chain management. Utilizing big data analytics and fuzzy AHP-TOPSIS techniques can help businesses more efficiently choose the most suitable green suppliers in line with environmental principles.

SOFT COMPUTING (2022)

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Article Economics

Adoption of green innovation practices in SMEs sector: evidence from an emerging economy

Shah Fahad et al.

Summary: This study classifies the major barriers and solutions of green practices in SMEs using a framework. The findings reveal that legal barriers are the most critical obstacle in green innovation adoption. Information barriers, technical barriers, managerial barriers, economic barriers, and market barriers are also important factors influencing green innovation adoption.

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Article Operations Research & Management Science

A hybrid multi-objective evolutionary algorithm for open vehicle routing problem through cluster primary-route secondary approach

Samarjit Kar et al.

Summary: This study focuses on the cluster primary-route secondary approach to solve the multi-objective open green vehicle routing problem. The proposed method clusters customers and employs a multi-objective evolutionary algorithm to search for the optimal route, aiming to minimize operating costs and carbon emissions. Empirical analysis shows that SPEA2 outperforms NSGA-II in terms of performance.

INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT (2022)

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Article Computer Science, Artificial Intelligence

A modified ELECTRE II method with double attitude parameters based on linguistic Z-number and its application for third-party reverse logistics provider selection

Zhengmin Liu et al.

Summary: This paper proposes an improved ELECTRE II method with double attitude parameters under the linguistic Z-number environment for effectively assessing and selecting third-party reverse logistics providers (3PRLPs). The proposed method utilizes linguistic Z-numbers to qualitatively describe expert assessments and the reliability of evaluations, and incorporates the concept of ideal point method to accurately rank alternatives. Two attitude parameters are introduced to capture decision makers' preference for risk and profit as well as their level of optimism. A numerical example and sensitivity analysis are conducted to demonstrate the effectiveness and robustness of the proposed method.

APPLIED INTELLIGENCE (2022)

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Article Computer Science, Artificial Intelligence

A novel hesitant fuzzy linguistic hybrid cloud model and extended best-worst method for multicriteria decision making

Tongtong Zhou et al.

Summary: This paper introduces a novel hesitant fuzzy linguistic hybrid cloud model to effectively handle the complex uncertainties in multicriteria decision making. By integrating hesitant fuzzy linguistic term sets and cloud models, this model can avoid information loss and distortion, providing more consistency and reliability compared to traditional methods. The proposed method also includes an improved approach for aggregating multiple linguistic concepts.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2022)

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Article Green & Sustainable Science & Technology

A Novel Fuzzy-Based VIKOR-CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management

Fahim ul Amin et al.

Summary: This article evaluates sustainable supply chain risks using a new fuzzy VIKOR-CRITIC technique and focuses on the logistics industry in Pakistan. The study integrates the fuzzy VIKOR approach with the CRITIC method and establishes thirty criteria divided into four categories. The findings highlight the importance of organizational risks and the minimal influence of environmental hazards.

SUSTAINABILITY (2022)

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Article Transportation

An environmental management system in seaports: evidence from Malaysia

Jagan Jeevan et al.

Summary: Seaports face significant environmental challenges, and the green port concept has emerged as a response to these challenges. This study focuses on Port Klang, Malaysia's largest port, and finds that environmental quality, energy and resource usage, waste handling, and habitat quality and greenery are critical factors for achieving green port hub status. Additionally, the competitiveness of a seaport is significantly affected by green operations, sustainable equipment, resources management, and cost efficiency.

MARITIME POLICY & MANAGEMENT (2022)

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Article Environmental Sciences

Closing the loop of a global supply chain through a robust optimal decentralized decision support system

Heris Golpira

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)

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Article Mathematics, Applied

Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers-Fuzzy LMAW-Fuzzy CRADIS Model

Adis Puska et al.

Summary: The goal of this research was to find green suppliers that can assist agricultural producers in implementing green agricultural production. The study used Z-numbers and fuzzy methods to determine weighting coefficients and select the best suppliers based on criteria related to price and qualities.

AXIOMS (2022)

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Article Environmental Sciences

Carbon emission reduction effect of transportation structure adjustment in China: an approach on multi-objective optimization model

Shuangjiao Lin et al.

Summary: This study explores the carbon emission reduction effect of transportation structure adjustment in China through optimization and mode shift, with the results showing the largest impact in the western region.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)

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Article Environmental Sciences

The influence of preliminary processing of end-of-life tires on transportation cost and vehicle exhausts emissions

Piotr Nowakowski et al.

Summary: This study investigates the collection and transportation costs of end-of-life tires (ELT) and proposes a new method of multi-criteria decision support to select the best collection scenario. In the Polish case study, it was found that packing tires at collection points can reduce costs, decrease exhaust emissions, and improve efficiency.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

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Article Green & Sustainable Science & Technology

A Novel Methodology for Prioritizing Zero-Carbon Measures for Sustainable Transport

Dragan Pamucar et al.

Summary: Achieving a zero-carbon city by 2050 requires prioritizing financial, environmental, and social impacts, with a proposed TODIM-D method suggesting zero-emission zones as the first initiative for implementation to facilitate a shift towards sustainable modes of transport.

SUSTAINABLE PRODUCTION AND CONSUMPTION (2021)

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Article Computer Science, Artificial Intelligence

Greenness assessment of supply chains via intuitionistic fuzzy based approaches

Mete Han Topgul et al.

Summary: This study proposes a greenness assessment methodology for four logistics stages, provides a detailed KPI set for all logistics stages, and utilizes intuitionistic fuzzy-based techniques for greenness assessment.

ADVANCED ENGINEERING INFORMATICS (2021)

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Article Environmental Sciences

A grey-DEMATEL approach for analyzing factors critical to the implementation of reverse logistics in the pharmaceutical care process

Elaine Aparecida Regiani de Campos et al.

Summary: This study identified the critical factors for successful implementation of reverse logistics in the Brazilian pharmaceutical care process, including management, collaboration, information technology, infrastructure, policy, financial and economic factors. End-of-life management practices were considered the most critical, while information technology was deemed the least critical. The study also found that end-of-life management practices and policy had the strongest causal relationship.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

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Article Computer Science, Interdisciplinary Applications

Decentralized Decision System for Closed-Loop Supply Chain: A Bi-Level Multi-Objective Risk-Based Robust Optimization Approach

Heris Golpira et al.

Summary: This paper introduces a novel risk-based robust mixed-integer linear programming model for designing decentralized closed-loop supply chains, which shows better performance compared to deterministic methods. The decentralized approach is more suitable for cost-sensitive decision-makers, while the centralized approach is preferred by those sensitive to social parameters.

COMPUTERS & CHEMICAL ENGINEERING (2021)

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Article Computer Science, Interdisciplinary Applications

A proposed method for third-party reverse logistics partner selection and order allocation in the cellphone industry

Sunil Kumar Jauhar et al.

Summary: This research focuses on reverse logistics in the field of EOL electronic products, with a particular emphasis on how to select third-party reverse logistics partners and allocate orders to them. By combining data envelopment analysis (DEA) with a differential evolution (DE) algorithm, the discriminatory power of 3PRLPs' efficiency is enhanced, and a multi-objective model is proposed to allocate orders to these partners.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

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Article Computer Science, Interdisciplinary Applications

Matching functions of supply chain management with smart and sustainable Tools: A novel hybrid BWM-QFD based method

Mehmet Akif Gunduz et al.

Summary: This study proposes a novel hybrid methodology combining BWM and QFD to assess the maturity level of supply chain smartness and sustainability. Findings from a case study in the automotive manufacturing industry reveal the importance of smart technologies and sustainability indicators, and provide a guideline to compare current and targeted levels. The study contributes to evaluating companies' maturity in digital transformation and sustainable practices in the supply chain functions.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

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Article Energy & Fuels

Utilization of Renewable Energy Sources in Road Transport in EU Countries-TOPSIS Results

Joanna Kisielinska et al.

Summary: This study assessed and compared EU countries in terms of the use of renewable energy sources in road transport, identifying leaders and countries with low consumption. Sweden, Austria, and Luxemburg were leaders, while Malta, Estonia, and Croatia had very low consumption. Sweden, Finland, and Bulgaria made the greatest progress, while Austria, Germany, and Lithuania had the greatest reduction in consumption.

ENERGIES (2021)

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Article Economics

Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II

Kalliopi F. Sotiropoulou et al.

Summary: The increased use of renewable energy, particularly wind energy, helps reduce greenhouse gas emissions and align with the European Union's commitment under the 2015 Paris Agreement on Climate Change. Wind energy is a mature and cost-effective national investment that contributes to the transition towards a circular economy by producing clean renewable energy with low environmental impact.

ENERGY POLICY (2021)

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Article Computer Science, Artificial Intelligence

The economic globalization for sustainable management of overseas trade enterprise logistics

Wurong Zuo et al.

Summary: This study explores sustainable logistics management for foreign trade enterprises, identifying problems and solutions for modern logistics companies, setting five indicators, proposing optimization strategies, helping reduce costs and improve logistics management, and providing a theoretical basis for sustainable development.

EXPERT SYSTEMS (2021)

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Article Business

A Novel Approach Integrating AHP and COPRAS Under Pythagorean Fuzzy Sets for Digital Supply Chain Partner Selection

Gulcin Buyukozkan et al.

Summary: Digital supply chains (DSCs) can unlock competitive advantages and drive growth, with partner selection being a crucial task in successful digitalization. This paper proposes an efficient evaluation process using Pythagorean fuzzy sets, analytic hierarchy process, and complex proportional assessment for selecting alternative DSC partners. A case study in Turkey validates the proposed approach, contributing to the existing literature by developing a new evaluation model and a hybrid PFSs-based framework.

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2021)

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Article Engineering, Environmental

Managing supply chains for sustainable operations in the era of industry 4.0 and circular economy: Analysis of barriers

Pravin Kumar et al.

Summary: The study identifies major criteria for sustainable operations and barriers to achieving sustainability in the supply chain, including resource circularity, increasing profits from green products, and designing processes for resource and energy efficiency.

RESOURCES CONSERVATION AND RECYCLING (2021)

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Article Engineering, Multidisciplinary

A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Mladen Krstic et al.

Summary: This paper discusses how modern social trends are impacting supply chains and the last mile, emphasizing the importance of considering city characteristics, stakeholder goals, and sustainability when implementing solutions. A novel hybrid model combining Delphi, FARE, and VIKOR methods in a fuzzy environment is developed to evaluate last mile solutions, with an example in the central business district of Belgrade showing a combination of microconsolidation centers and autonomous vehicles as the most favorable solution.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

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Article Computer Science, Artificial Intelligence

An integrated interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0

Sema Kayapinar Kaya et al.

Summary: The introduction of Industry 4.0 has brought about rapid and extensive digital transformation in supply chain. Supplier selection is crucial in reducing costs and improving product and service quality. With digital technologies and Industry 4.0 implementations, companies have new requirements for their suppliers.

NEURAL COMPUTING & APPLICATIONS (2021)

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Article Engineering, Industrial

An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment

Peide Liu et al.

Summary: This study introduces an improved FMEA model that considers expert grouping and bounded rational behavior, including clustering of FMEA experts and a model for calculating attribute weights based on different risk attitudes. The study also proposes a combined final ranking method and demonstrates the validity and superiority of the model through a case study and simulation experiments. The findings highlight the importance of considering expert grouping and risk attitudes in practical risk assessment.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

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Article Green & Sustainable Science & Technology

Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

Muhammad Hamza Naseem et al.

Summary: This study focuses on the application of reverse logistics in the Pakistan E-commerce industry, identifying barriers and proposing solutions. The methodology used includes the fuzzy analytical hierarchy process (fuzzy-AHP) for weight determination and the fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method for final ranking of solutions.

SUSTAINABILITY (2021)

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Article Construction & Building Technology

Implementation of solar energy in smart cities using an integration of artificial neural network, photovoltaic system and classical Delphi methods

Nasim Ghadami et al.

Summary: This study evaluates the electrical energy consumption in Mashhad, Iran, using machine learning tools and dynamic strategies for promoting citizens' willingness for renewable energy generation. The research combines Artificial Neural Network and statistical analysis to create a Decision Support System. The outcomes show that the ANN model successfully forecasts energy consumption and prioritized motivational strategies for solar energy generation.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Green & Sustainable Science & Technology

Transition management theory-based policy framework for analyzing environmentally responsible freight transport practices

Aalok Kumar

Summary: This study introduces a framework based on transition management theory to identify and prioritize environmentally responsible transport practices, utilizing a two-step methodology including a grey clustering algorithm and VIKOR method. The outcomes of this research provide insights for managing freight logistics systems and enhancing freight transport sustainability.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Green & Sustainable Science & Technology

Fostering reverse logistics in India by prominent barrier identi fi cation and strategy implementation to promote circular economy

Pankaj Dutta et al.

Summary: Reverse Logistics (RL) is becoming an important strategic differentiator for organisations, especially in India, in terms of promoting sustainable practices and a Circular Economy (CE). This paper explores RL practices in India, identifies key barriers, and proposes strategies to overcome them, with a focus on quality management of circular goods and lack of top management responsibility as major obstacles.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Green & Sustainable Science & Technology

A multi-objective robust optimization approach for green location-routing planning of multi-modal transportation systems under uncertainty

Zahra Ziaei et al.

Summary: Carbon emission in transportation research has been widely studied, but research specifically on hazardous material transportation remains limited. This study presents a multi-objective model for locating transfer points and routing in a hazardous material multi-modal network, considering uncertainties and minimizing carbon emission, risk, and cost. The results confirm the effectiveness and robustness of the developed model, showing a reduction in carbon emissions and individuals at risk for each additional dollar spent.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Engineering, Mechanical

EVALUATION OF LOGISTIC FLOWS IN GREEN SUPPLY CHAINS BASED ON THE COMBINED DEMATEL-ANP METHOD

Nikita Osintsev et al.

Summary: Supply chains and transport corridors have a significant impact on the socio-economic and environmental situations in regions, and achieving sustainable development goals is possible through green supply chain management and changes in existing management methods. The authors proposed a universal system of logistic flow parameters and indicators in line with sustainable development principles, and developed a method for ranking logistic flow indicators. The study suggests using these indicators to adjust logistic flow parameters to achieve sustainable development goals within the GSCM framework.

FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING (2021)

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Article Green & Sustainable Science & Technology

Managing Sustainable Urban Public Transport Systems: An AHP Multicriteria Decision Model

Lourdes Rivero Gutierrez et al.

Summary: The study proposes a novel and consistent analytic hierarchy process (AHP) multicriteria decision-making (MCDM) model that combines economic and environmental criteria to evaluate public road transportation vehicles in Madrid, showing that the most sustainable alternative is plug-in electric vehicles in both economic and environmental terms, providing insights for future sustainable urban transport policy decisions.

SUSTAINABILITY (2021)

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Article Green & Sustainable Science & Technology

Double Path Optimization of Transport of Industrial Hazardous Waste Based on Green Supply Chain Management

Ziyuan Liu et al.

Summary: This paper focuses on studying the path optimization of industrial hazardous waste treatment transportation in environmental protection enterprises, aiming to integrate green purchasing and green production under the green supply chain management.

SUSTAINABILITY (2021)

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Article Biodiversity Conservation

Transportation synthetic sustainability indices: A case of Taiwan intercity railway transport

Shu-Hua Rao

Summary: The study focused on examining the impacts of intercity railways passenger transportation service in Taiwan by constructing Synthetic Sustainability Indices (SSI). It found that the economic dimension was the core factor, followed by the social dimension, while the environmental dimension was relatively independent. Over the recent 10 years, both HSR and TRA showed positive improvements in their sustainability, with the integrated SSI of the two systems higher than the individual SSI.

ECOLOGICAL INDICATORS (2021)

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Article Environmental Sciences

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

Madjid Tavana et al.

Summary: The article introduces a fuzzy green supplier selection model for sustainable supply chains, and utilizes HFBWM to determine the importance weights of green criteria and sub-criteria, as well as a complex evaluation method to determine criteria weights. Furthermore, several hybrid models are designed to rank suppliers based on their ability to recycle in reverse logistics, indicating a strong correlation between simple and complex methods when HFBWM determines the weights.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

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Article Computer Science, Artificial Intelligence

An urban metro network-based method to evaluate carbon emission and distribution cost of express delivery

Junhua Guo et al.

Summary: The novel green delivery method, Green Metro Express Delivery (GMED), aims to minimize transportation costs and carbon emissions. Experimental results show that GMED has lower carbon emissions and vehicle mileage compared to the vehicle express delivery method (VED).

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

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Article Green & Sustainable Science & Technology

Sustainable Construction Logistics in Urban Areas: A Framework for Assessing the Suitability of the Implementation of Construction Consolidation Centres

Victoria Muerza et al.

Summary: Transportation in construction accounts for up to 30% of freight movement in cities, leading to pollutant emissions. This paper introduces a method based on the Analytic Hierarchy Process (AHP) to evaluate the suitability of Construction Consolidation Centers (CCC) in terms of sustainability and technical aspects, aiming to integrate logistics into the planning and design stages of construction activities.

SUSTAINABILITY (2021)

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Article Green & Sustainable Science & Technology

Low-Carbon Multimodal Transportation Path Optimization under Dual Uncertainty of Demand and Time

Xu Zhang et al.

Summary: The study proposes a hybrid robust stochastic optimization model and a catastrophic adaptive genetic algorithm based on Monte Carlo sampling to optimize low-carbon multimodal transportation paths under uncertainty. The research compares multimodal transportation schemes and costs under different modes, and analyzes the impacts of uncertain parameters through a numerical example. The results show that uncertain modes, demand, and time all have significant effects on the total cost of low-carbon transportation.

SUSTAINABILITY (2021)

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Article Chemistry, Multidisciplinary

Reverse Logistics Location Based on Energy Consumption: Modeling and Multi-Objective Optimization Method

Lijun Chang et al.

Summary: The low-carbon economy is a major trend in global economic development and provides a rare opportunity for China's economic transformation. This study introduces a dual objective function optimization model of reverse logistics facility location, considering carbon emissions and benefits, and applies it to a case study of mobile phone recycling logistics network in Jilin Province to verify its feasibility. The results demonstrate that this approach offers an effective solution to the multi-objective optimization problem of reverse logistics location.

APPLIED SCIENCES-BASEL (2021)

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Article Construction & Building Technology

Mixed fleet based green clustered logistics problem under carbon emission cap

Md. Anisul Islam et al.

Summary: Sustainable transportation is essential for minimizing global CO2 emissions. This paper introduces a mixed fleet based green clustered logistics problem and proposes a new hybrid metaheuristic algorithm to solve it, which outperforms state-of-the-art algorithms in extensive computational experiments.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Business

A Multiple Criteria Decision-Making Method With Heterogeneous Linguistic Expressions

Xingli Wu et al.

Summary: This article addresses the challenge of heterogeneous linguistic expressions in multi-criteria decision-making problems by unifying operations on heterogeneous linguistic representations to describe the meaning of evaluation information. A computational model and MCDM framework are proposed to successfully retain uncertain information in the computation process.

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2021)

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Article Economics

COPRAS METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING UNDER PICTURE FUZZY ENVIRONMENT AND THEIR APPLICATION TO GREEN SUPPLIER SELECTION

Jianping Lu et al.

Summary: Green supplier selection is a crucial part of green supply chain management, choosing optimal green suppliers is essential for sustainable development, and a novel method has been designed to handle this challenging issue effectively.

TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY (2021)

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Article Management

Green port performance evaluation under uncertainty: a multiple attribute group decision analysis

Dan Zhao et al.

Summary: This paper evaluates the performance of a port in its supply chain context by integrating a five-dimensional balanced scorecard with green performance criteria, using a multiple attribute group decision-making approach that combines intuitionistic fuzzy set theory and evidence theory to handle uncertain information. The evaluation results not only provide the ranking of all alternative port enterprises, but also reveal the strengths and weaknesses of each company in terms of individual performance attributes.

INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS (2021)

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Article Computer Science, Interdisciplinary Applications

Environmentally responsible freight transport service providers' assessment under data-driven information uncertainty

Aalok Kumar et al.

Summary: This study proposes a hierarchical framework for assessing freight transport companies based on environmentally responsible transport practices (ERTPs), focusing on areas such as environmental knowledge sharing, quality of human resource, collaborative green awareness training programs, promoting environmental awareness program for employees, and compliance of government transport emission law and practice. The analysis shows that these ERTPs significantly contribute to the environmental sustainability of the freight transport industry, and the proposed framework can be used for assessing the performance of freight transportation companies based on ERTPs.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2021)

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Article Management

A new logistics model for increasing economic sustainability of perishable food supply chains through intermodal transportation

Tommaso Rossi et al.

Summary: This paper introduces a new transportation model for perishable food, named 'traveling stock', aiming to overcome barriers in intermodal transportation of perishable food. The study finds that the level of consumers' appreciation for product variety influences the economic sustainability of intermodal transportation for perishable products.

INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS (2021)

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Article Computer Science, Interdisciplinary Applications

An intelligent supplier evaluation model based on data-driven support vector regression in global supply chain

Yijun Cheng et al.

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Article Computer Science, Artificial Intelligence

A robust green traffic-based routing problem for perishable products distribution

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COMPUTATIONAL INTELLIGENCE (2020)

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Article Computer Science, Artificial Intelligence

An Integrated Method with PROMETHEE and Conflict Analysis for Qualitative and Quantitative Decision-Making: Case Study of Site Selection for Wind Power Plants

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COGNITIVE COMPUTATION (2020)

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Optimal integration of Line facility location problem into the Multi-project multi-supplier multi-resource Construction Supply Chain network design under the vendor managed inventory strategy

Heris Golpira

EXPERT SYSTEMS WITH APPLICATIONS (2020)

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Article Green & Sustainable Science & Technology

A novel hybrid multiple attribute decision-making approach for outsourcing sustainable reverse logistics

Navid Zarbakhshnia et al.

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Fuzzy green vehicle routing problem for designing a three echelons supply chain

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An integrated solution with SWARA&COPRAS methods in renewable energy production: City selection for biogas facility

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A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy

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Analyzing interrelationships and prioritising the factors influencing sustainable intermodal freight transport system: A grey-DANP approach

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Article Green & Sustainable Science & Technology

A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case

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Article Computer Science, Artificial Intelligence

A fuzzy-TOPSIS approach to enhance emergency logistics supply chain resilience

Xue Ge et al.

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Article Environmental Sciences

Green Supplier Selection Based on Green Practices Evaluated Using Fuzzy Approaches of TOPSIS and ELECTRE with a Case Study in a Chinese Internet Company

Guohua Qu et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

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Article Energy & Fuels

Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm

Martin Janos Mayer et al.

APPLIED ENERGY (2020)

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Article Multidisciplinary Sciences

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

Pratibha Rani et al.

SYMMETRY-BASEL (2020)

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Article Chemistry, Physical

A robust decision making approach for hydrogen power plant site selection utilizing (R, S)-Norm Pythagorean Fuzzy information measures based on VIKOR and TOPSIS method

Abhishek Guleria et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2020)

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