Optimization and Reliability Analysis of the Combined Application of Multiple Air Tanks Under Extreme Accident Conditions Based on the Multi-Objective Whale Optimization Algorithm

Sustainability, Год журнала: 2025, Номер 17(5), С. 2172 - 2172

Опубликована: Март 3, 2025

The operational condition of fire water supply aims to ensure the continuous and reliable high-pressure in emergency situations. Assuming a breaks out mountain village located far from city center, due significantly higher flow rate velocity pipeline compared normal operating conditions, any malfunction or shutdown pump caused by improper operation could result catastrophic damage system. In response call for sustainable development, addressing this urgent academic challenge means finding way safely economically maintain target demand point, even under extreme accident conditions. paper, drawing on engineering examples, we considered air tanks with varying process parameters installed at multiple locations within conveyance system prevent hammer safety. To that are high quality cost-effective after procurement use, multi-objective optimization design model comprising fitting, optimization, evaluation plates was constructed, aimed selecting certain parameters. model, Latin hypercube sampling improved simulated annealing (LHS-SA), stepwise regression analysis (SRA), Multi-Objective Whale Optimization Algorithm (MOWOA), Multi-Criteria Decision Analysis (MCDA) method various weight biases used rationality process. By comparing results obtained using these different MCDA methods, it is evident output AHP-EWM tend be economic indicators, whereas FN-MABAC safety indicators. addition, according sensitivity distribution, can inferred changes maximum transient pressure head have most significant impact final decision-making.

Язык: Английский

The Impact of Digital–Green Synergy on Total Factor Productivity: Evidence from Chinese Listed Companies

Sustainability, Год журнала: 2025, Номер 17(5), С. 2200 - 2200

Опубликована: Март 3, 2025

Driven by the dual imperatives of global economic green transformation and advancement digital technologies, achieving synergistic enhancement through digitalization greenization to promote sustainable development has become a focal point for both academia practical fields. This study, utilizing sample Chinese A-share listed companies from 2010 2023, aims explore transformative potential digital–green synergy (DGS) enhancing enterprise within realm production efficiency improvement. Employing coupling coordination model based on entropy-weighted TOPSIS method, research measures DGS levels enterprises. Grounded in strategic theory, resource-based view, dynamic capability this study thoroughly investigates direct impacts corporate TFP, intermediary mechanisms, moderating effects, heterogeneous roles. The findings robustly demonstrate that can significantly improve TFP optimizing resource allocation, reducing cost stickiness, operational efficiency, thereby facilitating reorganization factors creation value. Furthermore, external factors, such as financing constraints environmental regulation, alongside internal organizational like executive characteristics, are shown exert significant effects effectiveness DGS. In summary, not only highlights crucial role driver high-quality pursuit goals but also provides important theoretical guidance policymakers incentivize transformation. It offers insights managers strategically formulate strategies, enhance benefits, achieve long-term performance. Beyond these implications, further enriches landscape first extending theory firm-level emerging markets; second sustainability adopting broader “environment-society” framework; methodologically innovating developing novel “goal-strategy-input-technology” measurement finally, deepening understanding DGS-TFP relationships mechanism moderator exploration.

Язык: Английский