Published: Oct. 27, 2024
Language: Английский
Published: Oct. 27, 2024
Language: Английский
Mathematics, Journal Year: 2023, Volume and Issue: 11(15), P. 3350 - 3350
Published: July 31, 2023
Digital twin is the digital representation of an entity, and it drives Industry 4.0. This paper presents a bibliometric analysis in supply chain to help researchers, industry practitioners, academics understand trend, development, focus areas chain. found several key clusters research, including designing model, integration application quality control, digitalization. In embryonic stage was tested production line with limited optimization. development stage, importance 4.0 observed, as big data, machine learning, Industrial Internet Things, blockchain, edge computing, cloud-based systems complemented models. applied improve sustainability manufacturing logistics. current prosperity high annual publications, recent trends this topic on deep data models, artificial intelligence for also that COVID-19 pandemic drove start research Researchers field are slowly moving towards applying human-centric mass personalization prepare transit 5.0.
Language: Английский
Citations
23International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24
Published: Aug. 13, 2024
In recent years, the semiconductor supply chain has experienced dramatic changes, due to geopolitical tensions and public health events, which have provided insights into disruptions shortage economy. This review synthesises current research on offer a comprehensive analysis of vulnerabilities resilience strategies. We begin with an overview key characteristics complexities chain. Focusing security issues we provide challenges faced mitigation strategies adopted. Moreover, identify important gaps in literature propose future directions, emphasising need for innovative management practices decentralised networks necessary redundancy. Our contributes ongoing discussion how robustness adaptability chain, ensure its sustainability face rapidly changing global landscape.
Language: Английский
Citations
13Resources Policy, Journal Year: 2024, Volume and Issue: 95, P. 105169 - 105169
Published: June 13, 2024
Language: Английский
Citations
7Applied Soft Computing, Journal Year: 2023, Volume and Issue: 149, P. 110976 - 110976
Published: Oct. 27, 2023
Language: Английский
Citations
13Frontiers of International Accounting, Journal Year: 2025, Volume and Issue: 14(01), P. 94 - 102
Published: Jan. 1, 2025
Language: Английский
Citations
0International Journal of Logistics Research and Applications, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28
Published: March 13, 2025
Language: Английский
Citations
0Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8981 - 8981
Published: Oct. 17, 2024
This article presents the results of a study focused on collaboratively developing an Innovation Management Model (MGI) for leather agro-industrial chain in Colombia. integrates participation interested parties, prioritization variables, literature review, and validation model, emphasizing sustainability considerations throughout process. The methodology involved using Scopus Google Scholar, focusing innovation management models, open innovation, sector. In addition, three surveys were conducted to prioritize established Likert scale questions, assess relevance congruence. Key findings included 26 critical variables covering aspects such as agricultural technological platforms projects, capacity development, R&D activities, supply dynamics, processes, knowledge technology integration, business model adaptation sustainable environmental impact assessment. prioritized aims guide stakeholders define strategies, regenerative generation, improvement strategic capabilities.
Language: Английский
Citations
1Advanced Information Systems, Journal Year: 2023, Volume and Issue: 7(4), P. 86 - 93
Published: Dec. 3, 2023
The organization of medical assistance in de-occupied territories and close to combat activities necessitates reorganizing the existing system, making task developing methodological support for Agile-redistribution resources a multi-project environment relevant. article aims develop framework Agile redistribution environment. Research results & conclusions. In paper, issue resource reallocation healthcare is examined. A human setting has been developed, which based on use donor-acceptor interaction. An method enabling facilities be provided with resources, taking into account principles resilience, adaptability, functional reservation. model process (IDEF0) constructed. scenario approach ensure considered. main scenarios have identified. IDEF3 (scenario approach) developed. example applying developed conducting selected allowed selection option that meets defined reservation requirements, chosen scenario.
Language: Английский
Citations
1Published: Jan. 1, 2024
Language: Английский
Citations
0Electronics, Journal Year: 2024, Volume and Issue: 13(16), P. 3294 - 3294
Published: Aug. 19, 2024
Accurate automobile-demand forecasting can provide effective guidance for automobile-manufacturing enterprises in terms of production planning and supply planning. However, automobile sales volume is affected by historical other external factors, it shows strong non-stationarity, nonlinearity, autocorrelation complex characteristics. It difficult to accurately forecast using traditional models. To solve this problem, a model combining trend extrapolation causality analysis proposed derived from the predictors influence factors. In trend-extrapolation model, series was captured based on Seasonal Autoregressive Integrated Moving Average (SARIMA) Polynomial Regression (PR); then, Empirical Mode Decomposition (EMD), stationarity-test algorithm, an autocorrelation-test algorithm were introduced reconstruct sequence into stationary components with seasonality components, which reduced influences non-stationarity nonlinearity modeling. causality-analysis submodel, 31-dimensional feature data extracted influencing such as date, macroeconomy, promotion activities, Gradient-Boosting Decision Tree (GBDT) used establish mapping between factors future because its excellent ability fit nonlinear relationships. Finally, performance three combination strategies, namely boosting series, stacking parallel weighted-average tested. Comparative experiments groups showed that strategy had best performance, loss reductions 16.81% 4.68% number-one brand, 25.60% 2.79% number-two 46.26% 14.37% number-three brand compared strategies. Other ablation studies comparative six basic models proved effectiveness superiority model.
Language: Английский
Citations
0