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Routing and scheduling of vehicles and crews–the state of the art

L. Bodin
- 01 Jan 1983 - 
- Vol. 10, Iss: 2, pp 69-211
About: 
This article is published in Computers & Operations Research.The article was published on 1983-01-01 and is currently open access. It has received 1046 citations till now. The article focuses on the topics: Static routing & Policy-based routing.

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Book ChapterDOI

The Chinese Postman Problem

Rainer E. Burkard, +1 more
TL;DR: A postman tour in a connected graph is a tour which contains every edge at least once as mentioned in this paper, and a tour in G is a sequence T = (v1,e1,v2,e2,..., vk,ek,vk+1 = v1) of nodes and edges such that e meets the nodes vi and vi+1.
Journal ArticleDOI

Models and algorithms for solving combined vehicle and crew scheduling problems with rest constraints : an application to road feeder service planning in air cargo transportation

Paul Bartodziej, +3 more
- 01 Apr 2009 - 
TL;DR: A mathematical model and two algorithms for solving a complex combined vehicle and crew scheduling problem in the area of road feeder service (RFS) for air cargo transportation where cargo airlines engage specifically equipped RFS-carriers to serve so-called lines.
Journal ArticleDOI

Last-mile distribution planning for fruit-and-vegetable cold chains

Yu Hsiang Hsiao, +3 more
- 13 Aug 2018 - 
TL;DR: The results indicate that the fulfillment of various requirements of different customers for various fruits and vegetables and quality levels can be ensured with cost considerations and the proposed model is easily applied to other types of perishable products.
Journal ArticleDOI

The Vehicle Scheduling Problem for Fleets with Alternative-Fuel Vehicles

Jonathan D. Adler, +1 more
- 01 May 2017 - 
TL;DR: The alternative-fuel multiple depot vehicle scheduling problem is formally defined and formulated as an integer program, and a branch-and-price algorithm is proposed to solve the problem.
Journal ArticleDOI

An Evolutionary Squeaky Wheel Optimization Approach to Personnel Scheduling

Uwe Aickelin, +2 more
- 01 Feb 2009 - 
TL;DR: Improvements in the evolutionary squeaky wheel optimization is achieved by selective solution disruption mixed with iterative improvement and constructive repair.