Evaluation of Risk Strategies for Supply Chain Sustainability with Interval-Valued Neutrosophic Fuzzy EDAS DOI Creative Commons
Ecenur Alioğulları, Yusuf Sait Türkan, Emre Çakmak

и другие.

Heliyon, Год журнала: 2024, Номер 10(19), С. e38607 - e38607

Опубликована: Сен. 27, 2024

Sustainability means the most effective and efficient use of existing resources to meet needs future current generations. Nowadays, with increase in global environmental problems as well social economic problems, sustainability supply chain automotive industry has become increasingly important. In our study, after conducting an extensive literature review industry, consulting experts, identifying 35 different Risks across 5 dimensions, we proposed a total 40 risk strategies mitigate these risks. Using evaluations experts from one Turkey's leading logistics companies, were ranked using Interval-Valued Neutrosophic Fuzzy Evaluation based on Distance Average Solution (IVN EDAS) method, best determined. Accordingly, it been determined that optimal approach for companies is establish implement legal compliance procedures programs while adhering prevailing regulations policies. It aims make useful contribution terms covering this subject first time fuzzy EDAS adding new developing broad-level prevention subject. interval-valued neutrosophic method was applied issue risks industry. At same time, study contribute by dimensions sustainability.

Язык: Английский

An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices DOI Open Access

Sina Salimian,

Seyed Meysam Mousavi, Jurgita Antuchevičienė

и другие.

Sustainability, Год журнала: 2022, Номер 14(7), С. 3795 - 3795

Опубликована: Март 23, 2022

The selection of proper healthcare device suppliers in sustainable organ transplantation networks has become an essential topic increasing life expectancy. Assessment can be regarded as a complex multi-criteria decision-making (MCDM) problem that consists multiple alternative solutions with criteria. For this reason, paper proposes new integrated MCDM model based on combining extended vlsekriterijuska optimizacija i komoromisno resenje (E-VIKOR) and measurement alternatives ranking according to the compromise solution (MARCOS) approaches under interval-valued intuitionistic fuzzy sets (IVIFSs). aggregating technique E-VIKOR method is strong point compared original approach. IVIFS taken cope uncertain situation real-world applications. In regard, IVIF-similarity measure introduced compute weights decision-makers (DMs). IVIF-Shannon entropy utilized calculate criteria weights, hybrid proposed developed by presenting IVIF-E-VIKOR IVIF-MARCOS, supplier supply surgery devices. Afterward, illustrative example evaluate performance model, comparative analysis presented confirm validate Moreover, sensitivity for parameters performed assess their effects outcomes.

Язык: Английский

Процитировано

72

Application of Interval Valued Intuitionistic Fuzzy Uncertain MCDM Methodology for Ph.D Supervisor Selection Problem DOI Creative Commons

Shubhendu Mandal,

Kamal Hossain Gazi, Soheil Salahshour

и другие.

Results in Control and Optimization, Год журнала: 2024, Номер 15, С. 100411 - 100411

Опубликована: Март 11, 2024

The selection of Ph.D (Doctor Philosophy) supervisor is always a vital and interesting problem in academia especially for students who want to carry out Ph.D. Nowadays, selecting scientific manner becomes challenge any student because the variety options available scholar. In this context, present study aims formulate model from offered alternatives an academic institute. A hybrid multi-criteria decision making (MCDM) framework has been applied select suitable student's preferred criteria under interval-valued intuitionistic fuzzy (IVIF) scenario. IVIF Analytic Hierarchy Process (AHP) employed prioritize criteria, whereas Technique order preference by similarity ideal solution (TOPSIS) technique engaged rank supervisors based on weight. set eight five have considered modelling problem. Moreover, potential are weighted ranked multiple makers study. To examine consistency robustness proposed integrated approach, sensitivity analysis comparative carried out. From all analyses, it can be conferred that suggested approach quite useful apply different decision-making scenarios.

Язык: Английский

Процитировано

22

Sustainable supplier selection in the textile dyeing industry: An integrated multi-criteria decision analytics approach DOI Creative Commons
Md Mahfujur Rahman, A.B.M. Mainul Bari, Syed Mithun Ali

и другие.

Resources Conservation & Recycling Advances, Год журнала: 2022, Номер 15, С. 200117 - 200117

Опубликована: Сен. 28, 2022

It is important to implement sustainability throughout the supply chain and manufacturing process in order achieve a system. As part of that effort, selecting an appropriate supplier while taking into account critical requirement today's industry, particularly emerging economies like Bangladesh. This even more for any industry utilizes variety chemicals its process. research attempted develop multi criteria decision making (MCDM) framework sustainable selection textile dyeing one Bangladesh's largest chemical-consuming industries. An extensive literature review expert feedback have identified 15 economic, environmental, social evaluation selection. The weights were determined using Stepwise Weight Assessment Ratio Analysis (SWARA) method. Following that, Weighted Aggregated Sum Product (WASPAS) method was used determine final ranking suppliers sector SWARA method's weights. According SWARA's findings, most criterion "chemical quality," followed by "price chemical," "meeting delivery time," "employee health safety," "environmental management system." WASPAS indicates A, global chemical based Singapore, all competing suppliers. Later this study, sensitivity analysis conducted various values (λ) later comparing results with popular MCDM methods. Sensitivity ensures obtained from fact valid. study expected assist decision-makers industries efficiently select who are not only economically viable but also environmentally long run.

Язык: Английский

Процитировано

53

Circular Intuitionistic Fuzzy Decision Making and Its Application DOI
Esra Çakır, Mehmet Ali Taş

Expert Systems with Applications, Год журнала: 2023, Номер 225, С. 120076 - 120076

Опубликована: Апрель 11, 2023

Язык: Английский

Процитировано

32

An integrated Fine-Kinney risk assessment model utilizing Fermatean fuzzy AHP-WASPAS for occupational hazards in the aquaculture sector DOI
Berk Ayvaz,

Veysel TATAR,

Zeynep Sağır

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 186, С. 232 - 251

Опубликована: Апрель 6, 2024

Язык: Английский

Процитировано

13

An integrated group fuzzy best-worst method and combined compromise solution with Bonferroni functions for supplier selection in reverse supply chains DOI Creative Commons
Madjid Tavana, Akram Shaabani, Debora Di Caprio

и другие.

Cleaner Logistics and Supply Chain, Год журнала: 2021, Номер 2, С. 100009 - 100009

Опубликована: Окт. 4, 2021

Choosing the right supplier has a significant impact on efficiency and productivity of supply chain (SC). Different selection models approaches have been developed for reverse SCs. The lean, agile, resilient, green (LARG) strategy is an innovative paradigm competitiveness sustainability. This study proposes fuzzy-based methodology that integrates fuzzy group best-worst method (FG-BWM) combined compromise solution (FCoCoSo) in SCs within LARG strategic paradigm. FG-BWM used to measure importance weights criteria. Subsequently, FCoCoSo coupled with normalized weighted geometric Bonferroni mean functions select most suitable supplier. BWM its simplicity efficacy. CoCoSo model unique ability produce solution. are capture interrelationships among decision attributes eliminate influence extreme data. main proposed framework aims at providing easy-to-implement but reliable help manufacturers active recycling concerned sustainability issues rank suppliers. We present real-world case whose results demonstrate applicability integrated SCs, focusing particular wood paper industry.

Язык: Английский

Процитировано

44

A healthcare service quality assessment model using a fuzzy best–worst method with application to hospitals with in-patient services DOI Creative Commons

Ehsan Khanmohammadi,

Hamidreza Talaie, Maryam Azizi

и другие.

Healthcare Analytics, Год журнала: 2023, Номер 4, С. 100241 - 100241

Опубликована: Авг. 1, 2023

Hospitals and healthcare centers face many service problems during the pandemic. Problems that may arise in providing high-quality services lead to increased dissatisfaction. The Covid-19 crisis saw an unprecedented rise number of visits hospitalizations centers, which led drastic fluctuations quality provided by these centers. This study aims assess hospitals through a fuzzy Best-Worst Method (BWM). method makes fewer computations more consistent comparisons than Analytic Hierarchy Process (AHP), most common used among Multi-Criteria Decision Making (MCDM) methods. Our proposed BWM is efficient, reliable, easy-to-apply assessment technique. To show applicability method, we have investigated four hospitals. Accordingly, factors sub-factors health medical were obtained in-depth review literature. matrices pairwise then completed based on experts' opinions, weights extracted from comparison after solving model. results even with highest score are far what patients experts perceive as service. Based our results, caring, accuracy, skill, timeliness important criteria evaluating Iran

Язык: Английский

Процитировано

19

Fuzzy Multi-Criteria Decision-Making Approach for Online Food Delivery (OFD) Companies Evaluation and Selection: A Case Study in Vietnam DOI Open Access
Ngoc Bao Nguyen, Gu-Hong Lin, Thanh‐Tuan Dang

и другие.

Processes, Год журнала: 2021, Номер 9(8), С. 1274 - 1274

Опубликована: Июль 23, 2021

The COVID-19 pandemic has boosted the growth of online food delivery (OFD) market in every corner world. In Vietnam, service is rising rapidly and opening a large gateway opportunities for numerous OFD platforms, also making it competing business this country. Thus, to keep up with ever-changing dynamics, there are measures dimensions entrepreneurs take into consideration towards sustainable development. This paper’s objective evaluate major companies Vietnam based on comprehensive set criteria, which social environmental criteria (healthy safety, information security, impact), economic (delivery cost, operational capability, risk management), quality (order fulfillment, speed, convenience payment, online/offline level, customer feedback), technology (web design, real-time tracking systems, marketing techniques). To achieve objective, work proposes multi-criteria decision-making (MCDM)-based framework combining fuzzy analytic hierarchy process (FAHP) weighted aggregated sum product assessment (WASPAS). FAHP used generate weights theory applied translate linguistic evaluation statements experts. Then, WASPAS rank against selected criteria. that have obtained maximum weight priority analysis “convenience payment”, “delivery speed”, “online level”, “order fulfillment”, cost”. From final ranking WASPAS, Foody today best performing player regarding followed by GrabFood Now. proposed methodology can be an accurate robust model industry, while managerial implications study provide significant materials decision-makers improving their businesses

Язык: Английский

Процитировано

39

A Rough-Fermatean DEMATEL Approach for Sustainable Development Evaluation for the Manufacturing Industry DOI Open Access

Fang-Chen Kao,

Shu-Chin Huang,

Huai-Wei Lo

и другие.

International Journal of Fuzzy Systems, Год журнала: 2022, Номер 24(7), С. 3244 - 3264

Опубликована: Июнь 18, 2022

Язык: Английский

Процитировано

27

An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains DOI Creative Commons
Madjid Tavana, Akram Shaabani, Debora Di Caprio

и другие.

Sustainable Operations and Computers, Год журнала: 2021, Номер 2, С. 149 - 169

Опубликована: Янв. 1, 2021

Digital supply chains (DSCs) are collaborative digital systems designed to quickly and efficiently move information, products, services through global chains. The physical flow of products in traditional is replaced by the information DSCs. This digitalization has changed conventional supplier selection processes. We propose an integrated comprehensive fuzzy multicriteria model for proposed integrates best-worst method (BWM) with multi-objective optimization based on ratio analysis plus full multiplicative form (MULTIMOORA), complex proportional assessment alternatives (COPRAS), technique order preference similarity ideal solution (TOPSIS). BWM approach used measure importance weights criteria. MULTIMOORA, COPRAS, TOPSIS methods as prioritization rank suppliers. maximize agreement heuristic (MAH) aggregate rankings obtained from into a consensus ranking. present real-world case study manufacturing company demonstrate applicability method.

Язык: Английский

Процитировано

28