Applied Soft Computing, Год журнала: 2024, Номер 166, С. 112132 - 112132
Опубликована: Авг. 25, 2024
Язык: Английский
Sustainable Energy Research, Год журнала: 2025, Номер 12(1)
Опубликована: Янв. 31, 2025
Unreliable energy supply disrupts productivity and escalates costs in manufacturing enterprises, highlighting the need for robust resilience strategies. Existing multi-criteria decision-making (MCDM) methods, such as analytic hierarchy process (AHP), best–worst method (BWM), unaugmented TOPSIS, often lack advanced risk prioritization objective criteria weighting, limiting their effectiveness addressing complex, multidimensional challenges. This study proposes an integrated framework that combines Failure Mode Effects Analysis (FMEA) prioritization, CRITIC-method weighting based on 4A's dimensions—availability, accessibility, affordability, acceptability—and fuzzy-TOPSIS strategy ranking. The bridges theoretical rigor with operational applicability, unique challenges faced by enterprises. Validated through a real-world case sensitivity analysis, it identifies actionable strategies, flexible scheduling, demonstrating consistent rankings across comparative analyses fuzzy VIKOR, WASPAS, MARCOS. sector-specific approach advances both academic understanding industrial practice providing scalable, tool enhancing resilience. presents integrating FMEA, CRITIC-method, within to address It prioritizes risk, provides ranks strategies under uncertainty. study, effective demonstrates adaptability, confirming robustness via analyses. Demonstrating adaptability varying weights (± 20%) reliability MCDM offers advancing practical manufacturing.
Язык: Английский
Процитировано
0
Kybernetes, Год журнала: 2025, Номер unknown
Опубликована: Фев. 14, 2025
Purpose The purpose of this study is to investigate resource-constrained multi-project scheduling problems (RCMPSP) involving uncertainty in the form time-dependent renewable resource reliability. A key focus minimize makespan (completion time) projects when resources can become unavailable or fail over time at non-constant rates. Accounting for realistic reliability seeks provide solutions that better reflect potential delays practical environments. Design/methodology/approach new discrete-time binary integer programming formulation RCMPSP expanded include and simultaneously evaluate failure rate constant repair a resource. hybrid immune genetic algorithm with local search (HIGALS) developed solve NP-hard problem. HIGALS incorporates coding mechanism, initialization method operator. Findings case tests proposed approach. validity mathematical model confirmed by solving small-sized GAMS software. validated comparing its GAMS. superiority demonstrated six basic algorithms on medium- large-sized problems. Results show outperforms existing algorithms, achieving an average reduction 11.79%, while maintaining advantages genetic, avoiding their disadvantages. Practical implications Considering help project managers plan disruptions resource-critical projects. provides decision support robust scheduling. Originality/value This contributes field investigating reliability, which reflects real-world more accurately. presents novel approach balance intensification diversification challenging
Язык: Английский
Процитировано
0
Applied Soft Computing, Год журнала: 2024, Номер 160, С. 111679 - 111679
Опубликована: Май 3, 2024
Язык: Английский
Процитировано
3
Applied Soft Computing, Год журнала: 2024, Номер unknown, С. 112227 - 112227
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
3
PLoS ONE, Год журнала: 2024, Номер 19(5), С. e0299778 - e0299778
Опубликована: Май 1, 2024
Today, supply chain (SC) networks are facing more disruptions compared to the past. While rare, they can have catastrophic long-term economic or societal repercussions, and recovery processes be lengthy. These tremendously affect SC make it vulnerable, as observed during COVID-19 pandemic. The identification of these concerns has prompted demand for improved disruption management by developing resilient, agile, adaptive SC. aim this study is introduce an assessment framework prioritizing evaluating determinants resilience (SCR). To analyze empirical data, fuzzy criteria importance through intercriteria correlation (fuzzy CRITIC) technique order preference similarity ideal solution TOPSIS) been incorporated. Fuzzy CRITIC method was used identify critical TOPSIS applied determining relative ranking some real-world companies. Finally, propositions interpretive triple helix proposed achieve SCR. This research stands out its originality in both methodology implications. By introducing novel combination SCR applying with help establish a resilient SC, offers unique valuable contribution field key findings suggest that ‘Responsiveness’ followed ‘Managerial coordination information integration’ most significant determinant outcome work assist managers agility adaptivity.
Язык: Английский
Процитировано
2
Artificial Intelligence Review, Год журнала: 2024, Номер 57(9)
Опубликована: Авг. 2, 2024
Abstract This paper aims to determine the resilience scores of suppliers by considering importance knowledge sharing and incorporating a set criteria that affect supply chain’s resilience, along with sharing. In order achieve this goal, we propose new multi-criteria decision-making (MCDM) method named MULTIMABAC evaluate suppliers’ resilience. is based on multi-attributive border approximation area comparison (MABAC) method. The consists weighting, expert supplier evaluation. weighting section, extend BWM (Best–Worst method) using Pythagorean fuzzy sets (PFSs). weight experts determined average concept into MABAC score calculated an extended ideal positive negative solutions. All indices are aggregated ordinal priority approach (OPA) obtain unique ranking. Additionally, PFSs address uncertainty in chain decision-making. Results sensitivity analysis demonstrate proposed effectively facilitates selecting resilient suppliers. Therefore, organizations can use choose Moreover, demonstrates robustness variations weights its constituent parameters.
Язык: Английский
Процитировано
2
Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Янв. 28, 2024
Язык: Английский
Процитировано
1
Granular Computing, Год журнала: 2024, Номер 9(3)
Опубликована: Май 2, 2024
Язык: Английский
Процитировано
1
Digital Chemical Engineering, Год журнала: 2024, Номер 12, С. 100164 - 100164
Опубликована: Июнь 5, 2024
Concerns in relation to consequences of global warming and climate change have activated worldwide attempts for mitigating the concentration carbon dioxide (CO2) produced by industrial sector. Decarbonizing oil gas refining (OGR) industries is a challenging problem policy-makers owing its potential prevent economic, environmental, health risks. In this regard, CO2 capture, utilization, storage (CCUS) technologies are most encouraging options decarbonize. The related part capture can play vital role solving mentioned problem. Various been employed choosing appropriate technology complex multi-criteria decision-making (MCDM) issue. This work develops novel robust decision support system (DSS). DSS integrates MCDM techniques Delphi Entropy integration method (DAEIM) proportional assessment alternatives (COPRAS) with interval type-2 trapezoidal fuzzy (IT2TF) environment. proposed used evaluate, prioritize, choose capture. A hybrid criteria system, which involves elements socio-technical systems perspective has evaluating candidate technologies. For implementing work, five post-combustion (A_cc1), pre-combustion (A_cc2), oxy-fuel combustion (A_cc3), direct air (A_cc4), indirect (A_cc5) chosen evaluation. final value each A_cc1 (0. 2907), A_cc2 (0.2602), A_cc3 (0.1005), A_cc4 (0.2304), A_cc5 (0.1181) preferences A_cc1> A_cc2> A_cc4> A_cc5> A_cc3. evaluation findings reveal that 0.2907 suitable scenario emissions from Iran's OGR systems. computation results demonstrate suggested feasible applicable give reliable acquiring optimal technology.
Язык: Английский
Процитировано
1
Sustainability, Год журнала: 2023, Номер 15(23), С. 16477 - 16477
Опубликована: Дек. 1, 2023
Decision support systems are being developed as attractive tools to help organizations make better decisions. These assist decision-makers in making the best The widespread application of internet has transformed development decision into a web-based challenge. On other hand, project selection always been significant issue for organizations. limitation resources and existence different criteria while selecting projects cause face challenges multiple-criteria making. In this research, new approach is introduced criteria. It also presents system considering uncertainty various criteria, including organizational strategies, seventh edition management standard, sustainable development. Therefore, economic, social, environmental dimensions were included evaluation indicators. proposed was using Pythagorean fuzzy sets, MEREC, MARCOS methods examine solution methods. approach, version method developed, with sets rankings. Also, presented (PF)-MEREC method, which used weighting. effectiveness discussed through real case study conducted on one mineral holdings Iran. Among mining company, finally, second selected. comparison made PF-Entropy-TOPSIS PF-Entropy-VIKOR methods, superior provided similar results. By changing weights four types states, sensitivity analysis determine reliability final these moved together or assigned equal weights, and, all ranking results same.
Язык: Английский
Процитировано
3