scholarly journals Real-Time Data Sharing in Production Logistics: Exploring Use Cases by an Industrial Study

2019 ◽  
pp. 285-293 ◽  
Author(s):  
Masoud Zafarzadeh ◽  
Jannicke Baalsrud Hauge ◽  
Magnus Wiktorsson ◽  
Ida Hedman ◽  
Jasmin Bahtijarevic
Keyword(s):  
Real Time ◽  
Data Sharing ◽  
Use Cases ◽  
Time Data ◽  
Production Logistics ◽  
Real Time Data

scholarly journals Automation in freight port call process: real time data sharing to improve the stowage planning

2018 ◽  
Vol 30 ◽  
pp. 70-79
Author(s):  
Andrea Conca ◽  
Angela Di Febbraro ◽  
Davide Giglio ◽  
Francesco Rebora
Keyword(s):  
Real Time ◽  
Data Sharing ◽  
Time Data ◽  
Real Time Data ◽  
Call Process ◽  
Stowage Planning

Preliminary implementation of the real-time data sharing system based on RFM for EAST

2018 ◽  
Vol 128 ◽  
pp. 95-100 ◽  
Author(s):  
C.C. Li ◽  
Z.S. Ji ◽  
F. Wang ◽  
Q.P. Yuan ◽  
S. Li
Keyword(s):  
Real Time ◽  
Data Sharing ◽  
Time Data ◽  
The Real ◽  
Real Time Data

scholarly journals A multi-mode filtering technique to assure real-time data sharing in information and control system

2002 ◽  
Vol 122 (1) ◽  
pp. 66-72 ◽  
Author(s):  
Katsumi Kawano ◽  
Shigetoshi Sameshima ◽  
Yoshiaki Adachi ◽  
Norihisa Komoda
Keyword(s):  
Control System ◽  
Real Time ◽  
Data Sharing ◽  
Time Data ◽  
Real Time Data ◽  
Filtering Technique ◽  
And Control ◽  
Multi Mode

scholarly journals London Heathrow Airport Uses Real-Time Analytics for Improving Operations

2020 ◽  
Vol 50 (5) ◽  
pp. 325-339
Author(s):  
Xiaojia Guo ◽  
Yael Grushka-Cockayne ◽  
Bert De Reyck
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Real Time ◽  
Data Sharing ◽  
Time Data ◽  
Collaborative Decision Making ◽  
Staffing Levels ◽  
Real Time Data ◽  
Passenger Flows ◽  
Collaborative Decision

Improving airport collaborative decision making is at the heart of airport operations centers (APOCs) recently established in several major European airports. In this paper, we describe a project commissioned by Eurocontrol, the organization in charge of the safety and seamless flow of European air traffic. The project’s goal was to examine the opportunities offered by the colocation and real-time data sharing in the APOC at London’s Heathrow airport, arguably the most advanced of its type in Europe. We developed and implemented a pilot study of a real-time data-sharing and collaborative decision-making process, selected to improve the efficiency of Heathrow’s operations. In this paper, we describe the process of how we chose the subject of the pilot, namely the improvement of transfer-passenger flows through the airport, and how we helped Heathrow move from its existing legacy system for managing passenger flows to an advanced machine learning–based approach using real-time inputs. The system, which is now in operation at Heathrow, can predict which passengers are likely to miss their connecting flights, reducing the likelihood that departures will incur delays while waiting for delayed passengers. This can be done by off-loading passengers in advance, by expediting passengers through the airport, or by modifying the departure times of aircraft in advance. By aggregating estimated passenger arrival time at various points throughout the airport, the system also improves passenger experiences at the immigration and security desks by enabling modifications to staffing levels in advance of expected surges in arrivals. The nine-stage framework we present here can support the development and implementation of other real-time, data-driven systems. To the best of our knowledge, the proposed system is the first to use machine learning to model passenger flows in an airport.

Towards a Real-Time Data Sharing System for Mobile Devices

2014 ◽  
Author(s):  
Jiva N. Bagale ◽  
Abdurrahman Shiyanbola ◽  
John P.T. Moore ◽  
Antonio D. Kheirkhahzadeh
Keyword(s):  
Real Time ◽  
Mobile Devices ◽  
Data Sharing ◽  
Time Data ◽  
Real Time Data

scholarly journals Research on Real-time Data Sharing in Power Integrated Automation System

2013 ◽  
Vol 05 (04) ◽  
pp. 474-478
Author(s):  
Zhaodong Wang ◽  
Xiangjun Liu ◽  
Qianqian Wu
Keyword(s):  
Real Time ◽  
Data Sharing ◽  
Automation System ◽  
Time Data ◽  
Integrated Automation ◽  
Real Time Data ◽  
Integrated Automation System

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data
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