Article
Green & Sustainable Science & Technology
Tarun Dhingra, Anita Sengar, Shambhu Sajith
Summary: The objective of this study is to identify and categorize the barriers to the growth of offshore wind energy in India and determine their importance. The study found that technical, financial, social, institutional, geographical, and supply chain barriers are the main obstacles to offshore wind energy development in India, while regulatory and political barriers have the least influence.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Kibeom Kwon, Minkyu Kang, Dongku Kim, Hangseok Choi
Summary: Risk management is crucial for ensuring the safety and efficiency of tunnel construction. This study developed an advanced tunnel risk management model using the analytic hierarchy process and fuzzy set theory to prioritize hazardous zones and devise an optimal countermeasure plan. The model showed that significant tunnel convergence and excavation of unstable ground formations posed high risks. Adopting a shield tunnel boring machine or implementing ground reinforcement is recommended for these vulnerable locations. Overall, the developed model effectively prioritizes hazardous zones and contributes to the overall safety and efficiency of tunnel operations.
Article
Computer Science, Artificial Intelligence
Duygu Sergi, Irem Ucal Sari
Summary: This paper analyzes the implementation of Industry 4.0 tools in public services to meet citizen expectations, using fuzzy Z-AHP and fuzzy Z-WASPAS methods. The results indicate that healthcare services have dominant importance for digitalization among public services.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Operations Research & Management Science
Utsav Pandey, Sanjeet Singh
Summary: Data envelopment analysis (DEA) is a method used to evaluate the performance of decision making units (DMUs), but the classical approach is not suitable for different environments. To address this issue, categorical DEA was proposed, but it is affected by fuzzy and uncertain factors. This study proposes a more realistic DEA approach that can handle categories defined in natural languages or with fuzzy boundaries and generates triangular fuzzy numbers.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Ecology
Purabi Sarkar, Pankaj Kumar, Dinesh Kumar Vishwakarma, Alaknanda Ashok, Ahmed Elbeltagi, Sandeep Gupta, Alban Kuriqi
Summary: Due to the complexity of human and ecological systems, soil erosion has become a significant issue. Therefore, the development of watershed approaches is crucial for understanding and forecasting future circumstances. This study explores the morphometric characteristics of the Pindar River watershed and uses various decision-making techniques to develop a suitable management plan. The findings demonstrate that morphometric criteria are highly effective in identifying erosion-prone locations, with the FAHP method showing superior accuracy and efficiency.
ECOLOGICAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Busra Buran, Mehmet Ercek
Summary: This study presents a business model canvas framework for public transportation organizations and evaluates the proposed model using fuzzy analytic hierarchy process method and two extensions. The results show that the internal environment is the most important criterion and IF-AHP and SF-AHP provide similar weight results.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Thermodynamics
Jin Zhao, Ataul Karim Patwary, Abdul Qayyum, Majed Alharthi, Furrukh Bashir, Muhammad Mohsin, Imran Hanif, Qaiser Abbas
Summary: The study evaluates potential solutions to Pakistan's energy shortages with a focus on renewable green hydrogen sources from geothermal, wind, biomass, and solar energy. Wind energy is found to be the most efficient source for producing hydrogen energy in Pakistan, helping to meet local energy needs and reduce fossil fuel usage.
Article
Chemistry, Physical
Huang Xiang, Paramaiah Ch, Muhammad Atif Nawaz, Supat Chupradit, Arooj Fatima, Muhammad Sadiq
Summary: The study examines the production of renewable hydrogen in Pakistan, with wind energy identified as the best option for manufacturing renewable energy, while biomass is considered the most viable raw material for establishing a hydrogen supply network. Solar energy is recognized as the second-best candidate for hydrogen production, due to its low-cost installation and production potential.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Computer Science, Artificial Intelligence
Muhammad Azeem Akbar, Sajjad Mahmood, Muhammad Shafiq, Ahmed Alsanad, Abeer Abdul-Aziz Alsanad, Abdu Gumaei
Summary: DevOps is a collaborative and multidisciplinary organizational effort to automate continuous delivery of a software project with an aim to improve software quality. This study identifies and prioritizes the factors that positively influence the implementation of DevOps practices in software organizations using a questionnaire survey and FAHP analysis.
Article
Economics
Majid Nojavan, Atefeh Heidari, Davood Mohammaditabar
Summary: The paper introduces a new hybrid fuzzy approach for evaluating the performance of educational units based on service quality, involving four stages: evaluation and gap analysis of students' expectations and perceptions, determination of weights for SERVQUAL dimensions, ranking of units using fuzzy TOPSIS method, and efficiency assessment using fuzzy DEA method. The approach improved the accuracy of performance evaluation for educational institutions in Iran.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Mathematics
Thi-Ly Nguyen, Phi-Hung Nguyen, Hong-Anh Pham, Thi-Giang Nguyen, Duc-Thinh Nguyen, Thi-Hoai Tran, Hong-Cham Le, Huong-Thuy Phung
Summary: This study proposes an integration of Data Envelopment Analysis (DEA), spherical fuzzy analytic hierarchy process (SF-AHP), and spherical fuzzy weighted aggregated sum product assessment (SF-WASPAS) to identify a sustainable supplier for the steel manufacturing industry in Vietnam. The decision framework is demonstrated to be feasible and robust through sensitivity analysis and comparative results, which can assist industry executives in resolving the macrolevel supplier selection problem and managers in selecting and evaluating suppliers successfully in other industries.
Article
Mathematics
Dineswary Nadarajan, Saber Abdelall Mohamed Ahmed, Noor Fadiya Mohd Noor
Summary: This study collects data from 2018 to 2020 and uses data envelopment analysis (DEA) to measure seaport network efficiency based on the Liner Shipping Connectivity Index (LSCI) using fuzzy DEA. The comparison between DEA and fuzzy DEA shows small differences in the results. Fuzzy regression modelling based on the Possibilistic Linear Regression Least Squares (PLRLS) method is also performed to estimate the interval of minimum and maximum connectivity efficiencies.
Article
Multidisciplinary Sciences
Hongliang Li, Yu Lin, Yuming Wang, Jing Liu, Shan Liang, Shulin Guo, Tiangang Qiang
Summary: This paper comprehensively considers the sidewalk's facilities environment and the status of pedestrian traffic flow, dividing the urban pedestrian road system (UPRS) into five subsystems and establishing a comprehensive pedestrian road indicator system with the combination of subjective and objective elements. By integrating fuzzy AHP and DEA methods, a successful overall evaluation of the quality of service (QoS) for UPRS was achieved, providing a new idea for planners to conduct sustainability evaluation for UPRS in future urban renewal development.
Article
Green & Sustainable Science & Technology
Truong Thi Hue, Nguyen Anh Tuan, Luu Huu Van, Luong Thuy Lien, Do Dieu Huong, Luong Tram Anh, Nghiem Xuan Huy, Luu Quoc Dat
Summary: Improving lecturers' scientific research productivity is an essential strategy for enhancing university reputation, attracting external funding, and improving student credibility. This study aims to determine the priority of university governance factors influencing lecturers' research productivity. The research findings indicate that research resources are the most crucial factor affecting lecturers' research productivity.
Article
Economics
Boban Pavlovic, Dejan Ivezic, Marija Zivkovic
Summary: The research identified the most influential threats to the security of natural gas supply in Serbia, including interruptions from the border with Hungary, Russia, and gas storage. The Turkish Stream project is the strategic measure with the highest priority, and two additional strategic measures may also be beneficial.
Article
Operations Research & Management Science
Javad Gerami, Reza Kiani Mavi, Reza Farzipoor Saen, Neda Kiani Mavi
Summary: Assessing the efficiency of a supply chain is crucial for managers and decision makers. This paper introduces a network data envelopment analysis model to evaluate the performance of supply chains. By incorporating ratio data into the evaluation, important information can be conveyed to managers. The applicability of the proposed model is demonstrated through the assessment of 19 hospitals in Iran.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Mohammad Izadikhah, Reza Farzipoor Saen
Summary: This study presents a new stochastic two-stage DEA model for assessing the sustainability of supply chains. Unlike conventional models, this model considers intermediate products. The efficacy of the model is demonstrated through a case study.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Majid Azadi, Zohreh Moghaddas, T. C. E. Cheng, Reza Farzipoor Saen
Summary: Evaluating the performance of providers of Industry 4.0 technologies is a ongoing challenge, and existing methods have some shortcomings. In this study, we propose a comprehensive analytical method based on data envelopment analysis to assess the sustainability of cloud service providers for Industry 4.0.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Operations Research & Management Science
Majid Azadi, Zohreh Moghaddas, Reza Farzipoor Saen, Angappa Gunasekaran, Sachin Kumar Mangla, Alessio Ishizaka
Summary: This paper develops a network range directional measure approach to evaluate the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic outbreak. Advanced management science and operations research methods can improve the efficiency of healthcare systems. The proposed approach can handle different types of data and provides guidance for improving the efficiency of healthcare supply chains.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Hamid Kiaei, Reza Farzipoor Saen, Reza Kazemi Matin
Summary: In this study, Network Data Envelopment Analysis models are used to identify more sources of inefficiency by considering the internal structure of production units. The aim is to assess and improve the performance of Decision Making Units using a two-stage network and a cross-efficiency approach. The main contributions include a new benevolent method in cross-efficiency evaluation and a method for setting inputs and outputs target to improve cross-evaluations.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Mohammad Tavassoli, Reza Farzipoor Saen
Summary: This study proposes a novel non-radial fuzzy network data envelopment analysis (FNDEA) model for assessing the sustainability of Iranian Combined Cycle Power Plants (ICCPPs) in a fuzzy context. The proposed model can simultaneously evaluate the sustainability, operational performance, and environmental performance of ICCPPs. The results reveal that 46% of ICCPPs have a relatively good performance in terms of operational and environmental performance. Furthermore, the correlation coefficient among different types of efficiency scores highlights the significant impact of environmental efficiency on the overall efficiency of ICCPPs. Finally, suggestions to improve the sustainability of ICCPPs are provided.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Saeed Yousefi, Hadi Shabanpour, Kian Ghods, Reza Farzipoor Saen
Summary: The Covid-19 virus poses a global health threat, leading governments to take measures to control its spread. This study aims to enhance the efficiency of Covid-19 treatment centers by using Artificial Neural Network (ANN) to forecast their efficiency and provide benchmarks. The findings suggest that allocating more respiratory equipment, pulmonologists, and beds to treatment centers can reduce mortality rates and increase recovery rates.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Business
Majid Azadi, Saeed Yousefi, Reza Farzipoor Saen, Hadi Shabanpour, Fauzia Jabeen
Summary: The study proposes a network data envelopment analysis (NDEA) model and a deep learning approach for predicting the sustainability of healthcare supply chains (HSCs). Technological advances such as deep learning, artificial intelligence (AI), and Blockchain have gained importance in HSCs and are seen as competitive advantages. The use of advanced performance evaluation techniques, including DEA, has garnered considerable attention in enhancing HSCs' performance. The results highlight the top-ranking HSCs that utilize fewer facilities, have desirable outputs, and minimal undesirable outputs.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Operations Research & Management Science
Majid Azadi, Mehdi Toloo, Fahimeh Ramezani, Reza Farzipoor Saen, Farookh Khadeer Hussain, Hajar Farnoudkia
Summary: The rapid growth of advanced technologies such as cloud computing in the Industry 4.0 era has brought numerous advantages. Evaluating the efficiency of cloud service providers (CSPs) is a challenge for customers. This study designs a decision support system that accurately evaluates the efficiency of multiple CSPs in a supply chain, taking into account undesirable outputs, integer-valued, and stochastic data.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Amirali Fathi, Reza Farzipoor Saen
Summary: This study focuses on the sustainability evaluation of transportation supply chains using data envelopment analysis (DEA) and Shannon's entropy technique. A common set of weights (CSW) model is developed to evaluate the sustainability of transportation supply chains. The proposed model is a two-stage network DEA model based on Shannon's entropy and can fully rank transport companies.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Operations Research & Management Science
Seyed Amir Hossein Sadeghi, Reza Farzipoor Saen, Abbas Toloie Eshlaghy, Mahmoud Modiri
Summary: Evaluation of supply chain sustainability is a complex decision-making problem, and data envelopment analysis (DEA) is used to assess sustainability in supply chains. This research develops a network DEA (NDEA) model that considers fuzzy rough data to assess sustainability. The proposed model takes into account the internal interactions of decision-making units (DMUs) and assumes fuzzy inputs and outputs.
JOURNAL OF DECISION SYSTEMS
(2023)
Article
Operations Research & Management Science
Majid Azadi, T. C. E. Cheng, Reza Kazemi Matin, Reza Farzipoor Saen
Summary: This research develops a network data envelopment analysis model to assess the resilience and sustainability of healthcare supply chains (SCs) in response to the COVID-19 pandemic outbreak. The proposed model can handle different types of data and introduces a modified directional distance function for efficiency measurement. The performance of 28 healthcare SCs is evaluated to demonstrate the applicability and capability of the approach.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Elnaz Azadi, Zohreh Moghaddas, Reza Farzipoor Saen, Abbas Mardani, Majid Azadi
Summary: Supply chains are complex systems that involve interactions, components, and flows. The rise of green supply chains has prompted policymakers and managers to consider environmental factors alongside the economic aspect. However, current models struggle to evaluate the performance of green supply chains in an integrated manner. To address this issue, this paper proposes a network data envelopment analysis (NDEA) method as an effective approach for evaluating green supply chains.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Majid Azadi, Hossein Azizi, Reza Farzipoor Saen
Summary: Coordination in providing sustainable and effective transport services is beneficial for both the public and private sectors. However, research on public-private coordination is rare and performance measurement of public-private transport is less explored. This paper contributes to the transportation field by developing a novel network data envelopment analysis (NDEA) model to measure the performance and coordination of public-private transport within multimodal transport networks. The model is based on the directional distance function (DDF) and provides insights into the sustainability and resource allocation among decision-making units (DMUs) in public-private transport networks.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Farhad Hosseinzadeh Lotfi, Reza Farzipoor Saen, Zohreh Moghaddas, Mohsen Vaez-Ghasemi
Summary: Desirable and undesirable outputs are produced together in most production activities, and they are interdependent. Reducing undesirable outputs may lead to a decrease in desirable ones as well. This study introduces and applies concepts and models to assess the sustainability of supply chains, considering the dependency between desirable and undesirable outputs in an SBM network system. A new network data envelopment analysis (NDEA) model based on the Slack Based Model (SBM) is developed, and a case study on wheat supply chains is presented to demonstrate various aspects of the proposed model, which considers both types of outputs.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
