A fleet deployment model to minimise the covering time of maritime rescue missions

Optimization Model of Fleet Deployment Plan of Liners

Procedia Engineering ◽

10.1016/j.proeng.2016.01.273 ◽

2016 ◽

Vol 137 ◽

pp. 391-398 ◽

Cited By ~ 4

Author(s):

Yajie Song ◽

Yixiang Yue

Keyword(s):

Optimization Model ◽

Fleet Deployment

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Liner ship fleet deployment with week-dependent container shipment demand

European Journal of Operational Research ◽

10.1016/j.ejor.2012.05.006 ◽

2012 ◽

Vol 222 (2) ◽

pp. 241-252 ◽

Cited By ~ 43

Author(s):

Qiang Meng ◽

Shuaian Wang

Keyword(s):

Container Shipment ◽

Fleet Deployment

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Final Results From The State Of Ohio Ethanol-Fueled Light-Duty Fleet Deployment Project

10.4271/982531 ◽

1998 ◽

Cited By ~ 7

Author(s):

Kevin Chandler ◽

Margaret Whalen ◽

Jeffrey Westhoven

Keyword(s):

The State ◽

Light Duty ◽

Fleet Deployment

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Integrated maritime fleet deployment and speed optimization: Case study from RoRo shipping

Computers & Operations Research ◽

10.1016/j.cor.2014.03.017 ◽

2015 ◽

Vol 55 ◽

pp. 233-240 ◽

Cited By ~ 65

Author(s):

Henrik Andersson ◽

Kjetil Fagerholt ◽

Kirsti Hobbesland

Keyword(s):

Speed Optimization ◽

Fleet Deployment

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Liner Ship Freight Revenue and Fleet Deployment for Single Service

10.1007/978-3-030-85902-2_14 ◽

2021 ◽

pp. 123-131

Author(s):

Jasashwi Mandal ◽

Adrijit Goswami ◽

Nishikant Mishra ◽

Manoj Kumar Tiwari

Keyword(s):

Fleet Deployment

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Real-Time Emergency Response Fleet Deployment: Concepts, Systems, Simulation & Case Studies

Operations Research/Computer Science Interfaces Series - Dynamic Fleet Management ◽

10.1007/978-0-387-71722-7_7 ◽

2008 ◽

pp. 133-162 ◽

Cited By ~ 21

Author(s):

Ali Haghani ◽

Saini Yang

Keyword(s):

Real Time ◽

Case Studies ◽

Emergency Response ◽

Systems Simulation ◽

Fleet Deployment

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Research on Fleet Deployment for Liners under Low-carbon Economy Based on Simulation Optimization Method

2018 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2018.8407918 ◽

2018 ◽

Author(s):

Shaozheng Yu ◽

Dongshi Sun ◽

Xinyu Wang ◽

Yaxin Wang

Keyword(s):

Simulation Optimization ◽

Optimization Method ◽

Low Carbon ◽

Low Carbon Economy ◽

Carbon Economy ◽

Fleet Deployment

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Adapting Procurement Models for Electric Buses in Latin America

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198119846097 ◽

2019 ◽

Vol 2673 (10) ◽

pp. 175-184

Author(s):

Jone Orbea ◽

Sebastian Castellanos ◽

Cristina Albuquerque ◽

Ryan Sclar ◽

Berta Pinheiro

Keyword(s):

Latin America ◽

Case Study Research ◽

Transit System ◽

Charging Infrastructure ◽

Proposed Model ◽

Bus Service ◽

Bus Services ◽

Fleet Deployment

Bus services are a fundamental component of transportation networks in Latin America, but buses often account for a disproportionately large number of environmental externalities. Electric buses (e-buses) are emerging as an effective and pragmatic option for reducing greenhouse gas emissions and local pollutants. However, e-buses are difficult to procure in Latin America because of existing procurement challenges in the region, especially as those challenges relate to forming contracts to deal with high upfront costs and unknown risks. To overcome these procurement issues, this paper presents a new contractual model, based on literature and case study research. This new model suggests the separation of bus service responsibilities into three separate actors: multiple bus procurement companies, one or multiple bus depots and charging infrastructure companies, and multiple bus operating companies. By separating bus service responsibilities, the proposed model would bring about three concrete improvements: lower costs to the transit system, better quality of service, and lower-emission fleet deployment.

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