Prioritizing Vulnerability Factors of Global Food Supply Chains by Fermatean Fuzzy Analytical Hierarchy Process DOI Creative Commons
Selin Yalçın, Ertuğrul Ayyıldız

Foundations of Computing and Decision Sciences, Год журнала: 2024, Номер 49(3), С. 303 - 320

Опубликована: Сен. 1, 2024

Abstract In response to heightened competition arising from globalization, companies are crafting strategies sustain their operations. However, these also introduce risks that require meticulous management. The onset of the COVID-19 pandemic has exacerbated disruptions in supply chains, including vulnerable food chain (FCS), strained further by escalating prices and resource depletion recent times. Within this context, vulnerability global FSCs escalated significantly due government-imposed lockdowns during pandemic. This study aims comprehensively investigate multifaceted caused By delving deep into complexities disruptions, it seeks uncover key factors contributing chains. Employing a blend literature review expert opinions, identifies prioritizes using Fermatean Fuzzy Analytical Hierarchy Process (FF-AHP). A two-level criteria framework consisting three main eleven sub-criteria been developed, taking account recommendations previous studies. According results obtained, revealed Managerial within most significant fragility FSC. Among factors, observed Technology, Corporation, Inventory Management leading causing is first vulnerabilities FSC fuzzy logic. research underscores imperative comprehensive risk management encompass all stakeholders chain, particularly unanticipated crises like pandemics.

Язык: Английский

Exploring gasification process and technology for biomass-waste utilization: A comprehensive review on the path to sustainable energy DOI
Yousaf Ayub, Jingzheng Ren, Tao Shi

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 188, С. 1489 - 1501

Опубликована: Июнь 14, 2024

Язык: Английский

Процитировано

6
Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA–WISP approach DOI
Ömer Faruk Görçün, Alptekin Ulutaş, Ayşe Topal

и другие.

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124674 - 124674

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

5
Adoption of Smart Manufacturing Technologies in Small and Medium Enterprises Using Picture Fuzzy Combinative Distance-Based Assessment Model DOI
Pratibha Rani, Arunodaya Raj Mishra, Ahmad M. Alshamrani

и другие.

Journal of the Knowledge Economy, Год журнала: 2025, Номер unknown

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0
Enhancing resilience in CSCs: a SCOR-integrated fermatean fuzzy AHP approach DOI
Ertuğrul Ayyıldız, Melike Erdoğan

Journal of Enterprise Information Management, Год журнала: 2025, Номер unknown

Опубликована: Апрель 14, 2025

Purpose The purpose of this study is to propose a novel framework that utilizes interval-valued fermatean fuzzy analytic hierarchy process (IVFF-AHP) assess the resilience circular supply chains (CSC)s. By categorizing resilience-related factors into different levels and determining their weights using IVFF-AHP, aims provide comprehensive evaluation CSCs. Design/methodology/approach proposed integrates concepts CSCs, multi criteria decision-making (MCDM) methods chain operations reference (SCOR) model. SCOR model serves as basis for identifying relevant assessment. then employs IVFF-AHP determine relative these at each level, accommodating inherent uncertainties linguistic evaluations associated with assessing resilience. Findings findings highlight efficacy IVFF-AHP-based considering multiple applying AHP, provides decision-makers understanding use enables effective handling vague imprecise information, enhancing process. Practical implications employing can better understand influencing CSCs allocate resources accordingly. This enhanced aid in developing strategies mitigate risks, enhance adaptability improve overall Originality/value contributes existing literature by introducing combines application MCDM evaluate represents significant novelty. integration further enhances practical value framework, it standardized factors. research offers unique valuable perspective researchers practitioners field.

Язык: Английский

Процитировано

0
Novel decision making approach for sustainable renewable energy resources with cloud fuzzy numbers DOI
Musavarah Sarwar, Muhammad Akram, Muhammet Deveci

и другие.

Journal of Industrial Information Integration, Год журнала: 2024, Номер unknown, С. 100700 - 100700

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3
Non-recyclable municipal solid waste characterization and pyrolysis for energy recovery DOI Creative Commons
Daniel Serrano, S. Sánchez-Delgado, Alen Horvat

и другие.

Bioresource Technology, Год журнала: 2024, Номер unknown, С. 131641 - 131641

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3
Constructing an environmental, social, and governance (ESG) metrics framework for assessing medical waste valorization alternatives: A novel integrated MCDM model under decomposed fuzzy environment DOI
Yin Ting Chu, Md. Abdul Moktadir, Jingzheng Ren

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123457 - 123457

Опубликована: Ноя. 29, 2024

Язык: Английский

Процитировано

1
Prioritizing Vulnerability Factors of Global Food Supply Chains by Fermatean Fuzzy Analytical Hierarchy Process DOI Creative Commons
Selin Yalçın, Ertuğrul Ayyıldız

Foundations of Computing and Decision Sciences, Год журнала: 2024, Номер 49(3), С. 303 - 320

Опубликована: Сен. 1, 2024

Abstract In response to heightened competition arising from globalization, companies are crafting strategies sustain their operations. However, these also introduce risks that require meticulous management. The onset of the COVID-19 pandemic has exacerbated disruptions in supply chains, including vulnerable food chain (FCS), strained further by escalating prices and resource depletion recent times. Within this context, vulnerability global FSCs escalated significantly due government-imposed lockdowns during pandemic. This study aims comprehensively investigate multifaceted caused By delving deep into complexities disruptions, it seeks uncover key factors contributing chains. Employing a blend literature review expert opinions, identifies prioritizes using Fermatean Fuzzy Analytical Hierarchy Process (FF-AHP). A two-level criteria framework consisting three main eleven sub-criteria been developed, taking account recommendations previous studies. According results obtained, revealed Managerial within most significant fragility FSC. Among factors, observed Technology, Corporation, Inventory Management leading causing is first vulnerabilities FSC fuzzy logic. research underscores imperative comprehensive risk management encompass all stakeholders chain, particularly unanticipated crises like pandemics.

Язык: Английский

Процитировано

0