A decision support system for vehicle fleet planning
Decision Support Systems
FleetManager: a microcomputer-based decision support system for vehicle routing
Decision Support Systems
A computer-based decision support system for vessel fleet scheduling: experience and future research
Decision Support Systems
Development and Evaluation of an Intelligent Fleet Management System for City Logistics
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
Decision support for coordinated road traffic control actions
Decision Support Systems
POCKET: A tool for protecting children's privacy online
Decision Support Systems
Knowledge-centered design of decision support systems for emergency management
Decision Support Systems
A novel believable rough set approach for supplier selection
Expert Systems with Applications: An International Journal
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This paper describes the design and development of a context-aware fleet management system (CFMS) prototype for real-time accident handling in logistics using a design science approach. One of the most important decisions in fleet management is the optimization of vehicle scheduling during an accident, such as a vehicle breakdown and mechanical failure during delivery. The schedule planner has to assign another vehicle to take over the task; thus, accident handling needs the reassignment or re-scheduling of vehicles. The large number of available vehicles for reassignment and numerous trips in a day make rescheduling complicated and difficult to resolve. In this paper, we propose a CFMS integrated with global positioning system (GPS) for real-time vehicle positioning and eSeal enabled by the RFID technology, to help human planners with rescheduling. A CFMS prototype was built and evaluated in a real-world setting. The system prototype was satisfactory during evaluation. The system was found to be more effective by its potential users and field logistics experts in aiding real-time accident handling in logistics. The design science approach used to develop the prototype could form a basis for further research.