Results in Engineering, Год журнала: 2024, Номер 22, С. 102236 - 102236
Опубликована: Май 10, 2024
Building projects are affected by various phenomena that can affect their success and continuity and, in the worst cases, lead to project abandonment. The delay has been identified as one of with most significant impact recurrence; therefore, mitigation actions required. BIM Lean Construction two approaches great potential mitigate delay-generating factors. However, more studies need be conducted analyze influence on mitigating schedule delays. Considering this gap, paper focuses analyzing tools, uses favor main factors generate variations construction schedules residential buildings. research method was divided into five stages: (1) Delay identification; (2) (3) tools (4) questionnaire design, validation, application; (5) quantitative analysis. A total 20 factors, eight uses, were selected. Next, a consultation 50 building managers analyzed. findings show implementing greatly influences such errors deficiencies design documents, inefficient planning scheduling, poor communication coordination designers. have strong reducing delays include 4D analysis optimization. In domain, Last Planner System (LPS) collaborative meetings high This study provides valuable insights for improve overall efficiency optimizing implementation tools.
Язык: Английский
Процитировано
9Machine Learning for Predictions of Road Traffic Accidents and Spatial Network Analysis for Safe Routing on Accident and Congestion-Prone Road Networks
Results in Engineering, Год журнала: 2024, Номер 23, С. 102737 - 102737
Опубликована: Авг. 16, 2024
Язык: Английский
Процитировано
8Last-Mile Logistics with Alternative Delivery Locations: A Systematic Literature Review
Results in Engineering, Год журнала: 2025, Номер unknown, С. 104085 - 104085
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Jidoka-DT simulator programmed by hybridize XGboost-LSTM to evaluate helmets quality produced by rice-straw-alumina plastic dough to resist shocks and impenetrable
Results in Engineering, Год журнала: 2025, Номер unknown, С. 104104 - 104104
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Accelerate demand forecasting by hybridizing CatBoost with the dingo optimization algorithm to support supply chain conceptual framework precisely
Frontiers in Sustainability, Год журнала: 2024, Номер 5
Опубликована: Авг. 13, 2024
Supply chains (SCs) serve many sectors that are, in turn, affected by e-commerce which rely on the make-to-order (MTO) system to avoid a risk following make-to-stoke (MTS) policy due poor forecasting demand, will be difficult if products have short shelf life (e.g., refrigeration foodstuffs). The weak negatively impacts SC such as production, inventory tracking, circular economy, market demands, transportation and distribution, procurement. obstacles are data types massive, imbalanced, chaotic. Using machine learning (ML) algorithms solve problem works well because they quickly classify things, makes accurate possible. However, it was found accuracy of ML varies depending sectors. Therefore, presented conceptual framework discusses relations among algorithms, most related sectors, effective scope tackling their data, enables companies guarantee continuity competitiveness reducing shortages return costs. supplied show sales were made at 47 different online stores Egypt KSA during 413 days. article proposes novel mechanism hybridizes CatBoost algorithm with Dingo Optimization (Cat-DO), obtain precise forecasting. Cat-DO has been compared other six check its superiority over autoregressive integrated moving average (ARIMA), long short-term memory (LSTM), deep neural network (DNN), categorical boost (CatBoost), support vector (SVM), LSTM-CatBoost 0.52, 0.73, 1.43, 8.27, 15.94, 13.12%, respectively. Transportation costs reduced 6.67%.
Язык: Английский
Процитировано
3A 1.5 - Approximation for Symmetric Euclidean Open Loop TSP
IEEE Access, Год журнала: 2024, Номер 12, С. 144509 - 144518
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0Heijunka
Опубликована: Ноя. 22, 2024
Процитировано
0