Article
Green & Sustainable Science & Technology
Chitra Lekha Karmaker, Tazim Ahmed, Sayem Ahmed, Syed Mithun Ali, Md. Abdul Moktadir, Golam Kabir
Summary: This research investigates the drivers of sustainable supply chain in the context of Bangladesh, using methodologies such as Pareto analysis, fuzzy theory, TISM, and MICMAC analysis. Financial support and policy development are crucial for tackling supply chain disruptions caused by COVID-19, while findings are expected to help industrial managers, supply chain partners, and government policymakers in addressing SSC issues during the pandemic.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Management
Rahul Sindhwani, Abhishek Behl, Ankit Sharma, Jighyasu Gaur
Summary: Micro, small, and medium enterprises (MSMEs) play a crucial role in economic growth, but they have been severely affected by COVID-19. Adopting Logistics 4.0 technology is vital for their development. However, there are challenges and inhibitors in the adoption process. This study identifies fourteen inhibitors and analyzes their interrelationships and levels using the Delphi method and modified total interpretive structural modeling technique. The findings highlight five critical inhibitors that MSMEs need to prioritize, and propose five propositions for their adoption of Logistics 4.0.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
Article
Environmental Studies
Noura Elagouz, Nuri C. Onat, Murat Kucukvar, Berk Ayvaz, Adeeb A. Kutty, Ali Osman Kusakci
Summary: This paper proposes a hybrid life cycle sustainability assessment (LCSA) model that combines multi-region input-output analysis with novel multi-criteria decision-making techniques to assess different fuel alternatives: compressed natural gas (CNG), electric buses (EBs), and diesel buses (DBs). The model quantifies the environmental, economic, and social impacts of these alternatives and ranks them based on their sustainability performance using the Interval-Valued Neutrosophic Fuzzy (IVNF)-Analytic Hierarchy Process with the Combined Compromise Solution (CoCoSo) approach. The proposed model captures macro level life cycle socioeconomic and environmental impacts and helps in selecting alternatives to support sustainable urban transport policy.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Syed Mithun Ali, Sayem Ahmed, Humaira Nafisa Ahmed, Aliza Sharmin, Rafat Rahman
Summary: There is an increasing global awareness of the need to reduce plastic pollution. Understanding and involving public participation is critical to the success of plastic pollution reduction efforts. However, there is a lack of comprehensive research on the role of consumers in addressing this issue, especially in emerging economies. This study aims to advance and evaluate various consumer roles in reducing plastic usage. It uses a hierarchical model to analyze the relationships between these roles and identifies the most important initiatives for reducing plastic pollution.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
S. Umar Sherif, P. Asokan, P. Sasikumar, K. Mathiyazhagan, J. Jerald
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)
Article
Energy & Fuels
Shweta Singh, Surya Prakash Upadhyay, Satvasheel Powar
Summary: This paper discusses the importance of selecting an appropriate location for large infrastructure projects and the use of Multi-Criteria Decision Making techniques to assess and compare different factors. By combining multiple methods and validation, the paper presents a model for selecting the best location for hydropower plants in India and suggests its applicability in other development fields.
Review
Green & Sustainable Science & Technology
Mohamed Hussein, Abdelrahman E. E. Eltoukhy, Ahmed Karam, Ibrahim A. Shaban, Tarek Zayed
Summary: This research provides a comprehensive mapping and clustering of 309 journal articles on the modelling of OSC-SC, identifying trends and gaps for future research opportunities. The study reveals a focus on production problems, with researchers inclined to integrate multiple solution methods to address complexities. Additionally, the importance of considering environmental and social sustainability factors in OSC-SC models is emphasized.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Michele Molin, Lisa Pizzol, Marco Pesce, Alessandro Maura, Matteo Civiero, Elisa Gritti, Simone Giotto, Alberto Ferri, Lorenzo Liguoro, Carlo Bagnoli, Elena Semenzin
Summary: This paper introduces a tool called Sustainable Development Decision-Making Framework (SDMF), which aims to help companies identify personalized and strategic paths for sustainable development. The framework supports companies in assessing material issues and externalities, adopting and implementing sustainability, and reporting non-financial externalities. Additionally, a morphological matrix has been developed to assist companies in selecting the most suitable methodologies.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Jianghong Feng
Summary: The paper introduces an integrated method combining fuzzy analytic hierarchy process (FAHP) and fuzzy axiomatic design (FAD) to determine the best hazardous waste disposal site. The method includes establishing an evaluation index system, evaluating criteria weights, determining functional requirements, ranking alternatives, and conducting sensitivity analysis. The research results show that the proposed hybrid method is a robust decision support tool.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Hossein Shahidzadeh, Sajjad Shokouhyar
Summary: More attention has been given to the circular economy in recent years, with a focus on sustainability. Reverse logistics plays a critical role in implementing the circular economy concept, and consumers have a significant impact on sustainability due to the growth of social media. This paper addresses a knowledge gap in sustainability and consumer behavior, with implications for managerial decisions in reverse logistics and waste reduction. The proposed extended conceptual model examines the relationship between reverse logistics performance and sustainability using a linguistic interval-value hesitant fuzzy DEMATEL technique.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Abdullah Yildizbasi, Cihat Ozturk, Deniz Efendioglu, Serol Bulkan
Summary: This study focuses on evaluating the social sustainability of companies in the automotive industry in Turkey, highlighting the importance of the social dimension as a basic pillar of sustainability. By using Multi-Criteria Decision-Making methods, the study reveals the situation of social sustainability in the Turkish automotive industry, providing insights for future improvements based on the evaluation results.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Engineering, Civil
Ahmet Calik, Babek Erdebilli, Yavuz Selim Ozdemir
Summary: Technological changes and globalization have increased the importance of the logistics industry, as the effectiveness of logistics services directly impacts the expansion of international trade networks, increased foreign direct investment, and economic growth. Evaluating logistics performance is crucial for assessing a country's logistics competitiveness, and the use of multi-criteria decision making techniques allows for a realistic assessment process.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Mathematics
Mehdi Keshavarz-Ghorabaee
Summary: The sustainable Supplier Evaluation and Selection and Order Allocation (SSOA) problem is important in supply chain management to improve performance, reduce costs, and enhance customer satisfaction. To address this problem, an integrated methodology is proposed that combines different techniques, such as the Radius of Gyration (ROG) ranking method for interval type-2 fuzzy sets and the Simple Multi-Attribute Rating Technique (SMART) for subjective weights. The methodology also utilizes a Weighted Aggregated Sum Product Assessment (WASPAS) method and a multi-objective decision-making (MODM) model for supplier evaluation and order allocation. This methodology offers a comprehensive approach to handling uncertainties and promoting sustainability in supply chain management.
Article
Green & Sustainable Science & Technology
Abduallah Gamal, Mohamed Abdel-Basset, Ibrahim M. Hezam, Karam M. Sallam, Ibrahim A. Hameed
Summary: The autonomous vehicle (AV) has the potential to restructure transportation infrastructure and improve traffic congestion, quality of life, and traffic safety. This research applies a multi-criteria decision-making approach to selecting the optimal AV for logistics planning, handling uncertainty using type-2 neutrosophic numbers (T2NN). Results indicate that the velocity criterion is the most influential in selecting an intelligent AV. Rating: 9/10
Review
Agricultural Engineering
Giorgio Mannina, Marion Alliet, Christoph Brepols, Joaquim Comas, Jerome Harmand, Marc Heran, Nesrine Kalboussi, Jacek Makinia, Angel Robles, Taise Ferreira Reboucas, Bing-Jie Ni, Ignasi Rodriguez-Roda, Maria Victoria Ruano, Giorgio Bertanza, Ilse Smets
Summary: Integrated Membrane Bioreactor (MBR) models, which combine biological and physical models, are powerful tools for achieving high environmental sustainability. This paper, produced by the International Water Association (IWA) Task Group on Membrane Modelling and Control, reviews the latest technology, identifies gaps in future research, and proposes a new integrated MBR modeling framework aimed at guiding researchers and managers towards optimal MBR performance.
BIORESOURCE TECHNOLOGY
(2021)
Article
Operations Research & Management Science
Vijayta Fulzele, Ravi Shankar
Summary: This paper develops a performance index for sustainable freight transportation by integrating the Consensus Model and the Fuzzy Evidential Reasoning Algorithm. The results show that companies with higher profitability are more focused on making their operations sustainable, and a proportionate approach towards economic, environmental, and societal well-being can help achieve higher sustainability.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Environmental Studies
Devendra Kumar Pathak, Ravi Shankar, Alok Choudhary
Summary: This study aims to develop a performance assessment framework based on competitive priorities to assist logistics professionals in selecting the most competitive SFT system. A unified approach consisting of fuzzy group decision making, fuzzy evidential reasoning approach, and expected utility concept is utilized to demonstrate the applicability and robustness of the model.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Operations Research & Management Science
Alok Choudhary, Arijit De, Karim Ahmed, Ravi Shankar
Summary: The paper presents a comprehensive set of key performance indicators for sustainable supply chain management, developed through a mixed method approach including literature analysis and expert interviews. It proposes a novel multi-attribute decision-making based sustainability assessment framework integrating various methods. The research contributes to practical implications by providing an innovative sustainability assessment framework for supply chain managers.
ANNALS OF OPERATIONS RESEARCH
(2021)
Correction
Operations Research & Management Science
Divya Choudhary, Alok Choudhary, Ravi Shankar, Christian Hicks
Summary: A correction to this paper has been published and can be viewed at the provided link.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Operations Research & Management Science
Divya Choudhary, Alok Choudhary, Ravi Shankar, Christian Hicks
Summary: This study introduces the concept of a sustainability risk index (SRI) and proposes an integrated two-phase model to calculate the SRI in the context of freight transportation in India. It also suggests a framework for calculating disruption scores and influencing power of sustainability risks, leading to more informed decision-making in proactively mitigating sustainability risks for the freight transportation sector.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Ayush Gautam, Ravi Shankar, Prem Vrat
Summary: Recent technological advances in the solar photovoltaic sector have led to challenges in managing end-of-life disposal of e-waste in India, where there is currently no concrete strategy in place. A study has projected the amount of waste generated by solar PV systems in India by 2030 and estimated the recovery of raw materials to promote a circular economy for EOL PV.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Management
Navin K. Dev, Ravi Shankar, Zach G. Zacharia, Sanjeev Swami
Summary: This study examines the impact of promotional investment and additive manufacturing on the recovery speed of the supply chain, as well as managing disruptions in the diffusion of green products. The integration of inventory and production planning with consumer behavior and innovation diffusion under the Industry 4.0 framework is essential for studying environmental, service level, and economic performance. The findings suggest tradeoff decisions between information-sharing and inventory and production planning policies during disruption, with implications for real-time managerial decisions and the importance of recovery speed in conjunction with inventory management systems.
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT
(2021)
Article
Environmental Studies
Sachin Agarwal, Ravi Kant, Ravi Shankar
Summary: This study proposed a mathematical model for decision-making in pre- and post-disaster phases, using optimization techniques such as pattern search algorithm. The findings suggest that the proposed model can help humanitarian stakeholders in making decisions on facility location and evacuation planning in disaster relief operations.
INTERNATIONAL JOURNAL OF DISASTER RESILIENCE IN THE BUILT ENVIRONMENT
(2022)
Article
Management
Neeraj Yadav, Ravi Shankar, Surya Prakash Singh
Summary: Most businesses utilize customer satisfaction scores, but comparing scores from different scales can be challenging. This study proposes a method to convert customer satisfaction responses from one scale to another and compares ten different scales. The findings suggest that the 10-point ordinal scale and the percentage scale are more suitable for measuring and converting satisfaction scores.
TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE
(2023)
Article
Environmental Sciences
Rachita Gupta, Harish Hirani, Ravi Shankar
Summary: This research provides a framework for managing solid waste, emphasizing the end-of-pipe strategy with waste segregation identified as the most influential strategy. It proposes a comprehensive framework for effective, efficient, and sustainable handling of different types of solid waste. A case study demonstrates the significance of waste segregation in achieving environmental, economic, and social benefits.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Management
Zulfiquar N. Ansari, Ravi Kant, Ravi Shankar
Summary: The purpose of this study is to identify and evaluate the key performance indicators of the remanufacturing supply chain. Through classification and analysis of the identified indicators, it is found that consumer awareness program, technological compatibility, and skilled workforce are the most influential indicators.
INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT
(2022)
Article
Engineering, Multidisciplinary
Sh Ataeian, M. Solimanpur, S. M. M. Amiripour, R. Shankar
Summary: This study proposes a mixed-integer nonlinear programming model to set timetables on a bus transit network with maximum synchronization and minimum fleet size. The model is applicable to transit networks of different sizes and has shown efficiency in real-life scenarios.
Article
Management
Neeraj Yadav, Ravi Shankar, Surya Prakash Singh
Summary: This study validates critical success factors for Lean Six Sigma (LSS) using Quality 4.0 through empirical research and questionnaire method. The findings highlight the importance of Quality 4.0 related factors for LSS success, aiding enterprises in faster and more effective adoption of Quality 4.0 and seamless integration with LSS.
INTERNATIONAL JOURNAL OF QUALITY AND SERVICE SCIENCES
(2021)
Article
Management
Shruti J. Raval, Ravi Kant, Ravi Shankar
Summary: This study aims to explore the key factors of LSS implementation and utilize fuzzy set theory and DEMATEL method to study the causal relationships among these factors. Through an empirical case analysis in an Indian manufacturing organization, ten critical success factors of LSS implementation have been identified, emphasizing the importance of top management in achieving these factors under limited resources.
JOURNAL OF MODELLING IN MANAGEMENT
(2021)
Article
Operations Research & Management Science
Veepan Kumar, Prem Vrat, Ravi Shankar
Summary: The study identified Industry 4.0 barriers and strategies for successful implementation through literature review and discussions with experts. A hybrid framework was proposed using Modified Stepwise Weight Assessment Ratio Analysis and Weighted Aggregated Sum Product Assessment methods. Findings highlighted the importance of top management commitment, strategic roadmap framing, and alignment of people, process, and technology for effective change management in overcoming Industry 4.0 barriers.
