Article
Environmental Sciences
Jianguo Du, Yasir Ahmed Solangi
Summary: The industries see green supply chain management (GSCM) as a way to achieve sustainable operations. However, there are barriers to the adoption of GSCM practices. This study proposes fuzzy-based multi-criteria decision-making approaches to evaluate and overcome these barriers in the textile manufacturing sector of Pakistan.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Rinu Sathyan, P. Parthiban, R. Dhanalakshmi, M. S. Sachin
Summary: This research paper identifies the crucial enablers of responsiveness in the Indian automotive supply chain through an integrated methodology of Fuzzy multi-criteria decision-making. The findings reveal the significant causal enablers, such as commitment of management and strategy decision making, demand forecasting, and continuous improvement. The proposed framework provides strategic goals to guide supply chain members and decision-makers in the automotive industry towards improved supply chain responsiveness.
Article
Operations Research & Management Science
Vishal Kashav, Chandra Prakash Garg, Rupesh Kumar
Summary: Due to global competition and international trade, the maritime supply chain plays an increasingly important role in transporting containerized freight. However, there are barriers hindering the growth of the freight transport industry in India. This study proposes a framework using fuzzy analytical hierarchy process (FAHP) and fuzzy TOPSIS techniques to evaluate and rank strategies to overcome these barriers. The results highlight the importance of dedicated feeder and hub ports infrastructure, competitive port charges, and modern equipment in addressing the issues of the maritime supply chain.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Zuopeng (Justin) Zhang, Praveen Ranjan Srivastava, Prajwal Eachempati, Yubing Yu
Summary: This paper aims to identify the most resilient company in the Chinese supply chain framework during the COVID-19 pandemic. A hybrid multicriteria model, including fuzzy analytical hierarchy process, is used to rank the companies. The findings suggest that China Energy Construction Group Tianjin Electric Power Construction Co., Ltd is the most feasible and resilient company, while Bosch is the least reliable among the ten companies considered.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Samantha Islam, Louise Manning, Jonathan M. Cullen
Summary: The paper presents a hybrid approach combining fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with integer linear programming to select the optimum traceability technologies for improving sustainable performance in cold food supply chains.
This methodology can assist decision-makers in identifying the best combination of technologies for a given food supply chain scenario and reducing food loss at minimum cost.
Article
Business
Rajesh Kr Singh, Sachin Kumar Mangla, Manjot Singh Bhatia, Sunil Luthra
Summary: This research presents solutions for the integrated implementation of green and lean practices, with the application of quality control tools, reduction in lead-time, use of right first time approach, and new technology and product innovations being the most crucial for overcoming barriers. The ranking of these solutions will aid managers in making strategic decisions and improving performance in manufacturing firms.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Vivek Agrawal, Rajendra P. Mohanty, Sucheta Agarwal, Jitendra Kumar Dixit, Anand M. Agrawal
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)
Article
Green & Sustainable Science & Technology
Mukesh Kumar, Mahak Sharma, Rakesh D. Raut, Sachin Kumar Mangla, Vikas Kumar Choubey
Summary: Food organizations are under pressure to adopt sustainable practices. This study proposes a sustainable performance assessment framework using triple bottom line and circular economy practice. Sixteen key performance indicators have been determined, with food quality, revenue growth, and resource utilization ranking as the top three.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Mathematics
Erfan Babaee Tirkolaee, Zahra Dashtian, Gerhard-Wilhelm Weber, Hana Tomaskova, Mehdi Soltani, Nasim Sadat Mousavi
Summary: As competition intensifies, organizations aim to offer products at lower prices and higher quality, requiring consideration of environmental criteria in supplier selection. The study evaluates and rates suppliers using multi-criteria decision-making techniques, then uses multi-objective mixed-integer linear programming to determine optimal order quantities for each supplier.
Article
Mathematics
Svajone Bekesiene, Aidas Vasilis Vasiliauskas, Sarka Hoskova-Mayerova, Virgilija Vasiliene-Vasiliauskiene
Summary: This paper presents the application of Fuzzy AHP-TOPSIS hybrid method in distance learning quality assessment surveys. Thirty-four judges with specific knowledge and skills were chosen to evaluate three alternatives by fourteen criteria, and statistical analysis was used to process the data. The study further provides useful guidelines for the development of an easily understandable hierarchy of criteria model reflecting the main goal of study quality assessment.
Article
Thermodynamics
Jan Bekkering, Jan -Peter Nap
Summary: In Europe, green hydrogen and biogas/green gas are considered as important renewable energy carriers. The feasibility of local green gas is questioned due to slow incentives. This study analyzed the supply chain of decentralised green hydrogen and green gas production and found that locally produced green gas is more attractive to individual citizens in terms of cost.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Rana Muhammad Zulqarnain, Xiao Long Xin, Imran Siddique, Waseem Asghar Khan, Mogtaba Ahmed Yousif
Summary: This paper mainly discusses the concept and characteristics of correlation coefficients and weighted correlation coefficients in Pythagorean fuzzy soft sets, introduces correlation operators and the TOPSIS technique based on correlation coefficients, develops a decision-making technique, and applies TOPSIS in green supplier selection within green supply chain management. The practicality, efficacy, and flexibility of the proposed approach are proven through comparative analyses.
Article
Management
Obaid Ur Rehman, Yousaf Ali
Summary: This research study prioritizes resilience strategies for healthcare supply chains by using multi-criteria decision-making techniques. The study assigns importance weights to severity, probability of occurrence, and recovery time through fuzzy analytical hierarchy process, and then uses these weights for prioritization of risks. The identified risks are used to highlight appropriate resilience strategies through the fuzzy quality function deployment technique. The results indicate that Industry 4.0, multiple sourcing, risk awareness, agility, and global diversification of suppliers, markets, and operations are the most significant resilience strategies.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2022)
Article
Materials Science, Textiles
Muhammad Hashim, Muhammad Nazam, Sajjad Ahmad Baig, Abdul Basit, Muhammad Usman, Zahid Hussain, Rana Shahid Imdad Akash
Summary: This research aims to identify and prioritize the risks related to supply chain reliability (SCR) and propose a risk mitigation model. The study reveals that postponement risk is identified as the highest priority, followed by manufacturing risk, and disruption risk is ranked the lowest. This study contributes to fill the existing literature gap for prioritization of key risks in the textile supply chains.
JOURNAL OF THE TEXTILE INSTITUTE
(2023)
Article
Economics
Boukhari Sofiane, Mrad Dounia, Dairi Sabri, Khoualdia Tarek, Djebbar Yassine
Summary: The sustainable management of drinking water supply services is essential for continuous supply. This paper develops a combined approach using the Delphi method and two MCDM methods for assessing the performance of water supply services. The study identifies two best alternatives for achieving sustainable water supply services.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Eren Ozceylan, Baris Ozkan, Mehmet Kabak, Metin Dagdeviren
Summary: This study provides a comprehensive review of the literature on spherical fuzzy sets (SFS) and analyzes 104 scientific papers using a systematic review methodology. It identifies trends and research opportunities for future studies in the field of fuzzy logic.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Reza Lotfi, Bahareh Kargar, Mohsen Rajabzadeh, Fatemeh Hesabi, Eren Ozceylan
Summary: One of the best strategies for managing and reducing inventory costs in COVID-19 conditions is Vendor-Managed Inventory (VMI) policy. This study proposes a hybrid fuzzy and data-driven robust optimization approach for Resilience and Sustainable Health Care Supply Chain (RSHCSC) with VMI to improve inventory management and tackle uncertainty and disruption. Three RSHCSC models are suggested using different optimization techniques, and sensitivity analysis is conducted on key parameters.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Operations Research & Management Science
Ibrahim Mirac Eliguzel, Eren Ozceylan, Gerhard-Wilhelm Weber
Summary: This study investigates the distribution plan of the United Nations Humanitarian Response Depot (UNHRD) and proposes potential improvements using operations research techniques. By applying various location-allocation models, the study provides a practical solution to reduce total distance and cost, and identifies the most important depots. Additionally, the study suggests increasing the volume of the Accra depot and highlights the need for efficient planning for this specific depot.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Economics
Cihan Cetinkaya, Mehmet Erbas, Mehmet Kabak, Eren Ozceylan
Summary: In the midst of the COVID-19 pandemic, alternative vaccines were discovered in 2020. However, the supply and mass vaccination efforts have posed challenges for many countries. This paper presents a five-step approach to determine the mass vaccination site, including criteria determination, spatial data collection and mapping, entropy weighting method for criteria importance, multiple attribute utility theory for site ranking, and analysis of covered population using GIS. A case study in Gaziantep city identifies the best mass vaccination site, which can be utilized by city planners and decision-makers.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Operations Research & Management Science
Suleyman Mete, Faruk Serin, Zeynel Abidin Cil, Erkan Celik, Eren Ozceylan
Summary: This paper aims to solve the disassembly line balancing problem using heuristic algorithms. Two approaches based on genetic algorithm and Dijkstra algorithm are proposed. The results obtained from tests show that the proposed methods outperform other techniques in terms of number of workstations, computational times, etc.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Information Systems
Bari s oezkan, Mehmet Erdem, Eren oezceylan
Summary: This paper aims to assess and compare the risk profiles of Asia Pacific Accreditation Cooperation (APAC) countries that impact data centers' effectiveness. It provides a systematic evaluation methodology using spherical fuzzy analytical hierarchy process (SF-AHP) and evaluation based on distance from average solution (EDAS) approaches to prioritize and rank the countries' data center profiles.
COMPUTERS & SECURITY
(2022)
Review
Green & Sustainable Science & Technology
Ibrahim Mirac Eliguzel, Eren Ozceylan
Summary: Green energy production, particularly wind energy, has become increasingly significant in recent years due to the Paris agreement and carbon emissions concerns. The end-of-life operations for wind turbines (WTs) play a crucial role in maximizing the environmental benefits and value creation. A comprehensive literature review was conducted to identify current gaps and propose potential research subjects in this field.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Computer Science, Artificial Intelligence
Omer Nedim Kenger, Eren Ozceylan
Summary: With the rapid development of digital information, the amount of digital data in the universe is growing exponentially, leading to the emergence of new machine learning methods. Learning algorithms using hyperboxes, such as the fuzzy min-max neural network (FMNN), have become increasingly popular and advanced. This paper conducts a bibliometric and network analysis of FMNN literature, identifying trends, challenges, and key points that impact the development of knowledge in this domain.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Management
Reham Tarek Alnounou, Rawan Ahmed Asiri, Sara Ayman Alhindi, Layan Marwan Shams, Sadia Samar Ali, Eren Ozceylan
Summary: Saudi Arabia's 2030 vision aims to increase non-oil revenue in GDP by 34%, necessitating automation and digital transformation. ER Company is a leading producer of high-quality dairy products in Saudi Arabia and has recently expanded its milk factory to align with the vision. In order to increase daily production, the company has invested in automating pallet handling processes. The new automation in ER Company's milk factory provides an opportunity to improve current processes using lean management tools before commercialization.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2022)
Article
Operations Research & Management Science
Zuelal Diri Kenger, Omer Nedim Kenger, Eren Ozceylan
Summary: Increasing population and urbanization have led to traffic problems in urban areas. Public transportation is seen as a solution, and this study analyzed research literature on urban and public transportation using the Analytic Hierarchy Process. The analysis revealed a significant increase in the number of publications in recent years, with China being the most productive country and Duleba S. being the most active author. The study also identified various applications of the AHP technique in measuring service quality, bus and vehicle selection, facility location determination, passenger satisfaction, and bus-bicycle routes.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Omer Nedim Kenger, Eren Ozceylan
Summary: This paper proposes a novel hybrid classifier method that integrates fuzzy min-max neural networks and mixed-integer linear programming (MILP) model. An improved online learning algorithm is used to generate initial hyper-boxes for the MILP model to improve efficiency. The proposed hybrid method shows satisfying improvements in performance evaluation parameters compared to the pure MILP model, achieving faster training time and reduced misclassified data.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Emel Gelmez, Eren Ozceylan
Summary: Smart cities are a technology-based concept that has gained attention in recent years and is constantly evolving with changes in technology. The Smart City Index 2021 evaluates 118 cities based on health & safety, mobility, activities, opportunities (work & school), and governance. The study uses the COPRAS and ARAS methodology to rank cities technologically and structurally, and the rankings remain consistent. Zhuhai, Shenzhen, Nanjing are the top three technologically smart cities, while Abu Dhabi, Chongqing, Hangzhou excel structurally.
FOUNDATIONS OF COMPUTING AND DECISION SCIENCES
(2023)
Proceedings Paper
Management
Ibrahim Mirac Eliguzel, Eren Ozceylan
Summary: This paper analyzes the state-of-the-art survey of the application of the best-worst method (BWM) in decision making related to COVID-19. It includes a bibliographic analysis of literature, keyword and abstract analysis, and descriptive analysis of authors' information and journals. The findings show that the application of BWM in COVID-19 related issues covers topics such as sustainable development goals, healthcare technology, supply chain, risk management, energy consumption, and logistics. The main topics in the literature considered are supply chain, service quality, social sustainability, supplier selection, sustainable development, green supply, and energy usage.
ADVANCES IN BEST-WORST METHOD, BWM2022
(2023)
Article
Engineering, Multidisciplinary
Nurcan Deniz, Eren Ozceylan
Summary: The article discusses the application of data-driven heuristic methods in solving transportation and logistics problems, emphasizing the challenges faced and trends in development. By comprehensively reviewing 40 relevant papers and providing suggestions for future research, it can help scholars and professionals better understand the advantages and limitations of this method.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
Article
Engineering, Industrial
Kutay Akdogan, Eren Ozceylan
Summary: Parcel lockers and collection and delivery points offer various advantages as solutions to last-mile delivery problems, such as regulating traffic congestion, reducing faulty deliveries and the resulting costs, and increasing consolidation.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
(2022)
