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Open AccessJournal Article

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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An optimal approach to the multiple-depot heterogeneous vehicle routing problem with time window and capacity constraints

Rodolfo Gabriel Dondo, +2 more
- 01 Apr 2003 - 
TL;DR: This work presents a novel MILP mathematical framework for the m-depot heterogeneous-fleet VRPTW problem that permits to find both the optimal vehicle route/schedule and the fleet size by choosing the best set of preceding nodes for each pick-up point.
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Scheduling collection of recyclable material at Northern Illinois University campus using a two-phase algorithm

Devika Bommisetty, +2 more
TL;DR: In this paper, the problem of collecting recyclable materials in a large university campus with many buildings is modeled as a vehicle routing problem with additional constraints and applied a two-phase algorithm in order to provide a heuristic solution.
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Dynamic Vehicle Scheduling: An Expert Systems Approach

Prabir K. Bagchi, +1 more
- 01 Feb 1991 - 
TL;DR: In this paper, a framework for building a PC-based expert system to be used as a decision support system is provided, and an example expert scheduling system (EXLOAD) built on VP EXPERT is also shown.
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Decision Support for Airline Schedule Planning

Dennis F. X. Mathaisel, +1 more
- 01 Oct 1997 - 
TL;DR: This paper reports on the application of the integration of computer science and operations research in a decision support system for airline schedule planning that integrates a graphical user interface and the database with the schedule optimization algorithms.
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Optimal Solution of a Vehicle-routeing Problem: Transporting Mentally Handicapped Adults to an Adult Training Centre

Charles Sutcliffe, +1 more
- 01 Jan 1990 - 
TL;DR: This paper presents the optimal solution to a real-world problem with 38 destinations and four vehicles, and is thought to be the largest such problem that has been solved optimally.