Human Vs. Machines: Who wins in semiconductor market forecasting? DOI Creative Commons
Louis Steinmeister, Markus Pauly

Expert Systems with Applications, Год журнала: 2024, Номер 263, С. 125719 - 125719

Опубликована: Ноя. 13, 2024

The experts polled by the World Semiconductor Trade Statistics (WSTS), a premier provider of semiconductor market data and forecasts, achieved high performance in terms mean error measure ranks compared to data-driven forecasts trained on historic up until official WSTS time stamp.• incorporation additional available into resulted superior models.

Язык: Английский

Grey system theory in supply chain: emerging hotspots and trends DOI
Peng Jiang, Zhaohu Dong, Hong Sun

и другие.

Grey Systems Theory and Application, Год журнала: 2025, Номер unknown

Опубликована: Янв. 18, 2025

Purpose Supply chains, as prototypical uncertain systems, are crucial for national security and socioeconomic development. Grey system theory (GST) is an effective tool addressing uncertainties has played a pivotal role in related research within the supply chain domain. This study aims to systematically summarize achievements knowledge structures pertaining GST studies. Current potential hotspots also analyzed. Design/methodology/approach CiteSpace used conduct bibliometric analysis of 1,617 articles sourced from Web Science (WOS). The current state structure field. A strategic diagram incorporating two data indicators, namely, novelty concern, constructed based on keyword clustering identify analyze hotspots. Findings Studies utilizing guide practices have attracted interest scholars 205 institutions across 85 countries regions globally, which earned recognition 183 high-level academic journals. In this field, School Economics Management at Nanjing University Aeronautics Astronautics stands out core institution, with Professor Deng Julong, who founder GST, being most frequently cited scholar. complex equipment drivers challenges management, risk closed-loop operation big era. addition, emerging include digital intelligent logistics technology, sustainable supplier determinants flexibility contracts, strategy, purchase grey prediction demand consumption, forecasting economy efficiency, China-specific issues model construction. Originality/value reveals Previous studies primarily relied subjective judgments, lacked empirical support. constructs provide more objective reliable

Язык: Английский

Процитировано

1

A model predictive control for a multi-chiller system in data center considering whole system energy conservation DOI
Jing Zhao, Ziyi Chen, Haonan Li

и другие.

Energy and Buildings, Год журнала: 2024, Номер unknown, С. 114919 - 114919

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3

Analyzing and Forecasting Container Throughput With a Hybrid Decomposition‐Reconstruction‐Ensemble Method: A Study of Two China Ports DOI
Xiao Yi, Sheng Wu, Chen He

и другие.

Journal of Forecasting, Год журнала: 2025, Номер unknown

Опубликована: Янв. 5, 2025

ABSTRACT Accurate container throughput forecasting is critical for enhancing port efficiency and ensuring global trade stability, particularly in the face of economic uncertainties, geopolitical tensions, supply chain disruptions. Existing methods often struggle to model nonlinear, nonstationary, noise‐laden characteristics data, creating a clear gap ability provide reliable predictions. To address this, we propose novel hybrid model, VMD‐ISE‐TCNT, designed tackle these challenges. The employs variational mode decomposition (VMD) decompose time series into intrinsic modes, with an improved signal energy (ISE) criterion automating selection optimal numbers. These modes are categorized low‐ high‐frequency components forecasted separately using temporal convolutional networks (TCNs), leveraging their strength capturing multiscale dependencies. Theil UII‐S loss function integrated enhance robustness by prioritizing proportional accuracy reducing outlier sensitivity. Empirical evaluations 24 years data from China's two largest ports—Shanghai Shenzhen—demonstrate superior performance VMD‐ISE‐TCNT compared traditional benchmarks. By addressing frequency‐specific patterns key processes, this provides scalable interpretable solution advancing operations resilience trade.

Язык: Английский

Процитировано

0

Selection of Green Recycling Suppliers for Shared Electric Bikes: A Multi-Criteria Group Decision-Making Method Based on the Basic Uncertain Information Generalized Power Weighted Average Operator and Basic Uncertain Information-Based Best–Middle–Worst TOPSIS Model DOI Open Access
Limei Liu,

Fei Shao,

Chen He

и другие.

Sustainability, Год журнала: 2024, Номер 16(19), С. 8647 - 8647

Опубликована: Окт. 6, 2024

This study introduces a novel multi-criteria group evaluation approach grounded in the theory of basic uncertain information (BUI) to facilitate selection green recycling suppliers for shared electric bikes. Firstly, comprehensive index system is established, encompassing capacity, environmental sustainability, financial strength, maintenance capabilities, and policy support, provide solid foundation scientific process. Secondly, generalized power weighted average (BUIGPWA) operator proposed aggregate with BUI pairs, some related properties are investigated. Furthermore, information-based best–middle–worst TOPSIS (BUI-BMW-TOPSIS) model incorporating best, middle, worst reference points enhance decision-making accuracy proposed. Ultimately, by integrating BUIGPWA aggregation BUI-BMW-TOPSIS handle decision information, (MCGDM) method constructed evaluate Case analyses comparative demonstrate that compared BUIWA operator, yields more reliable results because its consideration degree support among decision-makers. contrast traditional method, incorporates credibility provided decision-makers, leading trustworthy outcomes. Notably, variations attribute weights significantly impact results. In summary, our methods excel handling complex decisions, boosting rigor reliability, supporting optimization sustainability bike suppliers.

Язык: Английский

Процитировано

1

Forecasting national port cargo throughput movement using autoregressive models DOI
Dionicio Morales Ramírez, María D. Gracia, Julio Mar-Ortiz

и другие.

Case Studies on Transport Policy, Год журнала: 2024, Номер 19, С. 101322 - 101322

Опубликована: Ноя. 10, 2024

Язык: Английский

Процитировано

0

Limited data-driven router bandwidth configuration for cyber physical internet DOI
Yi Ping You, Ming Li

Expert Systems with Applications, Год журнала: 2024, Номер unknown, С. 126003 - 126003

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

0

Human Vs. Machines: Who wins in semiconductor market forecasting? DOI Creative Commons
Louis Steinmeister, Markus Pauly

Expert Systems with Applications, Год журнала: 2024, Номер 263, С. 125719 - 125719

Опубликована: Ноя. 13, 2024

The experts polled by the World Semiconductor Trade Statistics (WSTS), a premier provider of semiconductor market data and forecasts, achieved high performance in terms mean error measure ranks compared to data-driven forecasts trained on historic up until official WSTS time stamp.• incorporation additional available into resulted superior models.

Язык: Английский

Процитировано

0