Enhancing energy resilience in enterprises: a multi-criteria approach

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

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Assessing Hospital Infrastructure Resilience in Pandemics

International Journal of Fuzzy System Applications, Год журнала: 2025, Номер 14(1), С. 1 - 21

Опубликована: Янв. 9, 2025

In the era of globalization, infectious diseases pose a significant threat to global health and societal stability. They strain healthcare systems, necessitating robust preventive strategies, particularly in creating resilient hospital environments. Our study identifies analyzes environmental safety risk factors during pandemics, emphasizing need for context-specific mitigation. By integrating literature review with linguistic assessment factors, we reveal complex dimensions underappreciated epidemiological risks. Using triangular fuzzy number theory DEMATEL method, develop an evaluation model that quantifies environment risks their interdependencies, enhancing informed decision-making epidemic prevention resource allocation, contributing infrastructure sustainability well-being.

Язык: Английский

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AI-Driven Resilience Strategies for Enhancing Healthcare Supply Chain Resilience: A Systematic Literature Review (Preprint)

Опубликована: Янв. 22, 2025

The COVID-19 pandemic has exposed the vulnerabilities of global supply chains (SC), particularly within healthcare sector, underscoring need for advanced methods to enhance SC resilience and sustainability. Pandemics, such as Influenza, pose considerable risks chain (HSC) performance, demanding robust analytical tools optimize system efficiency under uncertain conditions. In this paper, we map current literature synthesize insights on role leadership in driving Artificial Intelligence (AI)-driven approaches enhancing HSC organizations. This systematic review aims HSC-resilience (HSCR) apply a novel network range directional measure model evaluate sustainability response pandemic. followed PRISMA guidelines, encompassing multiple databases, including Business Source Premier, CINAHL, ACM Digital Library, MEDLINE, PsycINFO, Web Science, PubMed, ScienceDirect. targeted articles published from 2016 2024, focusing empirical studies. A predetermined search strategy used keywords resilience, artificial intelligence, healthcare, related terms. analysis involved an inductive, thematic approach qualitatively evidence. screening data extraction processes were independently carried out by two reviewers, with Cohen's kappa assess interrater agreement. Data synthesis was accomplished through narrative approach. comprehensive case study demonstrates practical application model, revealing its capability diverse findings highlight how decision-making unit varies changing circumstances, showcasing model’s robustness evaluating performance during disruptions. final number studies included 39. These clinical units quantitative qualitative decision support models 16/39 (41%) 25/39 (59%), respectively. earliest article 2018; most recent 2022. is one first compare AI conventional human real-time gathering AI-driven strategies strengthen HSC. While proves effective assessing sustainability, key limitation lies implementation methodologies Future research should focus real-world deployment these face potential

Язык: Английский

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Investment Decision-Making to Select Converted Electric Motorcycle Tests in Indonesia

World Electric Vehicle Journal, Год журнала: 2024, Номер 15(8), С. 334 - 334

Опубликована: Июль 25, 2024

The issue of carbon emissions can be addressed through environmentally friendly technological innovations, which contribute to the journey towards achieving net-zero (NZE). electrification transportation by converting internal combustion engine (ICE) motorcycles converted electric (CEM) directly reduces number pollution sources from fossil-powered motors. In Indonesia, numerous government regulations support commercialization CEM system, including requirement for conversion workshops formal entities in process. Every must pass a test ensure its safety and suitability. Currently, testing process is conducted at only one location, making it inefficient inaccessible. Therefore, most Indonesia need take investment steps procuring CEM-type tools. This research aims determine best alternative several alternatives selecting investment, three criteria are considered: costs, operations, specifications. By using decision-making model, hierarchical model obtained, then processed analytical hierarchy (AHP) technique order preference similarity ideal solution (TOPSIS). Criteria weighted establish priority order. final step involves ranking Investment 2 (INV2) as tool with relative closeness value 0.6279. has shortest time (40 min), lowest electricity requirement, smallest dimensions. provide recommendations that purchased workshops.

Язык: Английский

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Evaluating Consolidation Centers of an Integrated Transportation Network under the Belt and Road Initiative

Applied Sciences, Год журнала: 2024, Номер 14(13), С. 5637 - 5637

Опубликована: Июнь 27, 2024

Following the Belt and Road, Air Silk Road has also been proposed. The coordinated development of multiple transportation modes, including air, land, water, will create a strong force in node cities. However, current insufficient supply cargo various regions lack integration among different modes result low efficiency, which turn affects further advancement Road. To investigate these issues attempt to find solution, we selected 44 candidate cities from prefecture-level China as nodes based on relevant government policies, constructed an integrated network. For each city, first calculated values six classical indicators then used CRITIC assign weights indicator. Subsequently, employed TOPSIS method combined with Grey Relational Analysis (GRA) compute comprehensive score for city. Based spatial layout policies under BRI, eight cities, Wuhan, Chongqing, Tianjin, Shanghai, Guangzhou, Lianyungang, Hefei, Dalian, were finally recommended consolidation centers It is hoped that results this analysis can provide some insights outline build network composed railway, highway, water routes, offer elevating Initiative (BRI) new level.

Язык: Английский

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Creating an operational evaluation model for catering delivery platforms using an expanded BOCR theory

Research in Transportation Business & Management, Год журнала: 2024, Номер 59, С. 101267 - 101267

Опубликована: Дек. 12, 2024

Язык: Английский

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