In the light of the current development toward large, and consequently, complicated agricultural production systems, such as systems of biomass production as bioenergy resource, the demand for advanced management tools, such as fleet management tools for scheduling and coordination of multiple vehicles working in multiple-fields, will be increased. In this paper, a planning approach for scheduling sequential tasks involved in biomass harvesting and handling operations performed by machinery teams was presented. The approach determines in which fields each machine has to operate, in what sequence, in which period of time, and the total operational cost of the resulting optimised schedule, taking into account specific factors such as the location and area of fields, available agricultural equipment, and the task times estimation based on the specific machine performance. The cost was included as an additional feature of the individual schedules providing the decision maker the ability to assess the relationship and trade-off between cost and time for each potential derived machinery combination within the available machinery fleet. © 2013 Elsevier B.V.

Scheduling for machinery fleets in biomass multiple-field operations

BUSATO, Patrizia;BERRUTO, Remigio
2013

Abstract

In the light of the current development toward large, and consequently, complicated agricultural production systems, such as systems of biomass production as bioenergy resource, the demand for advanced management tools, such as fleet management tools for scheduling and coordination of multiple vehicles working in multiple-fields, will be increased. In this paper, a planning approach for scheduling sequential tasks involved in biomass harvesting and handling operations performed by machinery teams was presented. The approach determines in which fields each machine has to operate, in what sequence, in which period of time, and the total operational cost of the resulting optimised schedule, taking into account specific factors such as the location and area of fields, available agricultural equipment, and the task times estimation based on the specific machine performance. The cost was included as an additional feature of the individual schedules providing the decision maker the ability to assess the relationship and trade-off between cost and time for each potential derived machinery combination within the available machinery fleet. © 2013 Elsevier B.V.
94
12
19
Biomass logistics; Biomass supply chain; Fleet management; Planning
A. Orfanou;P. Busato;D.D. Bochtis;G. Edwards;D. Pavlou;C.G. Sørensen;R. Berruto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/135541
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