Positioning Disaster Relief Teams Given Dynamic Service Demand: A Hybrid Agent-Based and Spatial Optimization Approach

2014 ◽  
Vol 19 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Michael J. Widener ◽  
Mark W. Horner ◽  
Kunlei Ma
Keyword(s):  
Disaster Relief ◽  
Spatial Optimization ◽  
Optimization Approach ◽  
Agent Based ◽  
Service Demand ◽  
Hybrid Agent

scholarly journals A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion

2021 ◽  
Vol 184 ◽  
pp. 33-41
Author(s):  
Sharif Mahmud ◽  
Amin Asadi ◽  
Annabelle R. LaCrue ◽  
Taslima Akter ◽  
Sarah Hernandez ◽  
...  
Keyword(s):  
Capacity Expansion ◽  
Optimization Approach ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Simulation And Optimization ◽  
Hybrid Agent

Reducing Handoffs and Improving Patient Flow in the ED

2021 ◽  
Author(s):  
Vishnunarayan Girishan Prabhu ◽  
Kevin Taaffe ◽  
Ronald Pirrallo ◽  
William Jackson ◽  
Michael Ramsay
Keyword(s):  
Performance Metrics ◽  
Patient Flow ◽  
Discrete Event ◽  
Common Source ◽  
Agent Based ◽  
Event Simulation ◽  
Discrete Event Simulation Model ◽  
Healthcare Settings ◽  
Shift Schedules ◽  
Hybrid Agent

Abstract Over 145 million people visit US Emergency Departments annually. The diverse nature and overwhelming volume of patient visits make the ED one of the most complicated healthcare settings. In particular, handoffs, the transfer of patient care from one physician to another during shift transition are a common source of errors resulting from workflow interruptions and high cognitive workload. This research focuses on developing a hybrid agent-based discrete event simulation model to identify physician shifts that minimize handoffs without affecting other performance metrics. By providing overlapping shift schedules as well as implementing policies that restrict physicians from signing up a new patient during the last hour of the shift, we observed that handoffs and patient time in the emergency department could be reduced by as much as 42% and 17%, respectively.

The Merit of Agents in Freight Transport

2009 ◽  
pp. 323-341
Author(s):  
Tamás Máhr ◽  
F. Jordan Srour ◽  
Mathijs de Weerdt ◽  
Rob Zuidwijk
Keyword(s):  
Freight Transport ◽  
Transport Network ◽  
Optimization Approach ◽  
Comparative Performance ◽  
Agent Based ◽  
Solution Approach ◽  
On Line ◽  
Intermodal Freight ◽  
Transport Method

While intermodal freight transport has the potential to introduce efficiency to the transport network,this transport method also suffers from uncertainty at the interface of modes. For example, trucks moving containers to and from a port terminal are often uncertain as to when exactly their container will be released from the ship, from the stack, or from customs. This leads to much difficulty and inefficiency in planning a profitable routing for multiple containers in one day. In this chapter, the authors examine agent-based solutions as a mechanism to handle job arrival uncertainty in the context of a drayage case at the Port of Rotterdam. They compare their agent-based solution approach to a wellknown on-line optimization approach and study the comparative performance of both systems across four scenarios of varying job arrival uncertainty. The chapter concludes that when less than 50% of all jobs are known at the start of the day then an agent-based approach performs competitively with an on-line optimization approach.

Intelligent E-commerce logistics platform using hybrid agent based approach

2019 ◽  
Vol 126 ◽  
pp. 15-31 ◽  
Author(s):  
Ali Vatankhah Barenji ◽  
W.M. Wang ◽  
Zhi Li ◽  
David A. Guerra-Zubiaga
Keyword(s):  
Agent Based ◽  
Hybrid Agent
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