A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm

J Delaram, M Houshamand, F Ashtiani… - Journal of Manufacturing …, 2021 - Elsevier
Cloud Manufacturing (CM) as a successful manufacturing business model and a major
driver of Industry 4.0 has attracted a lot of attention in recent years. CM idea aims to …

An agent-based model for air transportation to capture network effects in assessing delay management mechanisms

G Gurtner, L Delgado, D Valput - Transportation Research Part C …, 2021 - Elsevier
This article presents some of the results on the implementation of a decentralised delay
management process that we call 4D trajectory adjustments (4DTA) obtained with Mercury …

[HTML][HTML] Methodology of air traffic flow clustering and 3-D prediction of air traffic density in ATC sectors based on machine learning models

FP Moreno, VFG Comendador, RDA Jurado… - Expert Systems with …, 2023 - Elsevier
The increase in the demand for aircraft operations has caused the ATM system to become
overloaded as it no longer has sufficient capacity to respond to this increase in demand. For …

Airport flight ground service time prediction with missing data using graph convolutional neural network imputation and bidirectional sliding mechanism

C Liu, YR Chen, H Wang, YY Zhang, X Dai, Q Luo… - Applied Soft …, 2023 - Elsevier
Accurate flight ground service time prediction plays a key role in the efficient operation of
airports, which can help managers make better resource scheduling optimization decisions …

Worry not rareness but disparity: Impact of fairness concerns on platforms' pricing and matching decision in competitive two-sided markets

Y Gui, D Tan, Z Liu, F Dong - Expert Systems with Applications, 2024 - Elsevier
In two-sided markets, user fairness concerns affect a platform's operational decisions. By
constructing a hoteling-based pricing model of platforms, this study explored the impact of …

[HTML][HTML] Prediction of ATFM impact for individual flights: A machine learning approach

S Mas-Pujol, L Delgado - Expert Systems with Applications, 2024 - Elsevier
Abstract Air Traffic Flow Management regulations consist of issuing pre-departure ground
delays to deal with demand-capacity imbalances in the airspace, smoothing out the demand …

Satisficing game approach to collaborative decision making including airport management

CRF de Almeida, L Weigang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Collaborative decision making (CDM) has been used as an essential paradigm to increase
the efficiency of air traffic flow management (ATFM), including takeoff or landing operations …

Airports' role as logistics centers in humanitarian supply chains: A surge capacity management perspective

A Polater - Journal of Air Transport Management, 2020 - Elsevier
The purpose of this study is to investigate the key factors of airport logistics surge capacity
and the relationships between these elements. The findings show that successful airport …

从单边市场到双边市场: 旅游定价文献综述.

邹光勇, 刘明宇, 何建民 - Tourism Tribune/Lvyou Xuekan, 2018 - search.ebscohost.com
定价是旅游经济研究的一个核心问题, 对此进行综述研究具有重要的学术意义;
旅游定价也一直是社会热点问题, 对社会福利, 资源配置效率有着重要影响. 伴随着电子商务等的 …

Collaborative decision making in departure sequencing with an adapted rubinstein protocol

VF Ribeiro, L Weigang, V Milea… - … on Systems, Man …, 2015 - ieeexplore.ieee.org
Collaborative decision making (CDM) is an operational paradigm where the decisions are
based on complete, shared, and up-to-date information among all the stakeholders involved …