A decision tool for maize silage harvest operations

In forage harvesting, self-propelled harvesters (SPFHs) are the component that most affects the cost of the process because of their high operating costs. Therefore efficient management of the SFPH is essential. There are basically two ways to improve the SPFH performance: to reduce the travelling distance between fields and to design an efficient planning for the transport vehicles. A decision support tool has been developed for silage harvest operations to help farm managers, consultants, and technicians decide which resources they should use to minimise the cost of harvesting operations. The focus is on searching the routes that provide reduced travelling distances for the SPFH by prioritising the harvesting starting date for each farmer, and matching the SPFH and number of trucks to minimise the total cost of the maize silage harvesting cycle. The developed decision support system is compared to a real scenario in a maize harvesting season. Results show that by using the decision support tool, savings of over 15% can be obtained in distances travelled when compared with manual scheduling. Savings over 20% could be made if the restriction of using the starting harvesting dates requested by the farmers was relaxed. Under the conditions tested, if tolerance levels are not considered, the harvesting system is more sensitive to selecting correct transport management approach than to the efficient management of SPFH routes.

[1]  Gilbert Laporte,et al.  Metaheuristics: A bibliography , 1996, Ann. Oper. Res..

[2]  T. van Dijk,et al.  Land consolidation as Central Europe's panacea reassessed , 2004 .

[3]  Juan-Carlos Ferrer,et al.  An optimization approach for scheduling wine grape harvest operations , 2008 .

[4]  Ian J. Yule,et al.  A tractor performance monitor with DGPS capability , 1999 .

[5]  K. Matthews,et al.  Applying Genetic Algorithms to Land Use Planning. , 1999 .

[6]  Dennis R. Buckmaster A Systems Approach to Forage Harvest Operations , 2006 .

[7]  John S. Cundiff,et al.  Cotton logistics as a model for a biomass transportation system , 2008 .

[8]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[9]  D. R. Buckmaster,et al.  Computerized cycle analysis of harvest, transport, and unload systems , 2005 .

[10]  Yves Rochat,et al.  Probabilistic diversification and intensification in local search for vehicle routing , 1995, J. Heuristics.

[11]  Christian Prins,et al.  A simple and effective evolutionary algorithm for the vehicle routing problem , 2004, Comput. Oper. Res..

[12]  Carlos Amiama,et al.  Design and field test of an automatic data acquisition system in a self-propelled forage harvester , 2008 .

[13]  J. M. Pereira,et al.  Prediction of Effective Field Capacity in Forage Harvesting and Disk Harrowing Operations , 2010 .

[14]  C. P. Crossley The application of a computer program to the analysis of sugar cane transport— a case study , 1987 .

[15]  Per-Anders Hansson,et al.  Logistics for forage harvest to biogas production-Timeliness, capacities and costs in a Swedish case study , 2008 .

[16]  Kay Chen Tan,et al.  A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems , 2006, Eur. J. Oper. Res..

[17]  Patrizia Busato,et al.  Advanced Logistic Design and Management of Biomass Supply Chain by Simulation Toolbox , 2007 .

[18]  Massimiliano Caramia,et al.  A Milk Collection Problem with Incompatibility Constraints , 2010, Interfaces.

[19]  Joachim Thomas,et al.  Property rights, land fragmentation and the emerging structure of agriculture in Central and Eastern European countries , 2006 .

[20]  W. J. Parker,et al.  Modelling of transport costs and logistics for on-farm milk segregation in New Zealand dairying , 2005 .

[21]  Jeffery W. Bentley,et al.  Wouldn't you like to have all of your land in one place? land fragmentation in Northwest Portugal , 1990 .

[22]  Timothy M. Harrigan TIME–MOTION ANALYSIS OF CORN SILAGE HARVEST SYSTEMS , 2003 .

[23]  Shahab Sokhansanj,et al.  Dynamic simulation of McLeod Harvesting System for Wheat, Barley and Canola Crops , 2004 .

[24]  Md. Iqbal Hasan Sarker,et al.  Solving the Vehicle Routing Problem using Genetic Algorithm , 2011 .

[25]  C. N. Bezuidenhout,et al.  Coupled modelling of sugarcane supply planning and logistics as a management tool , 2009 .

[26]  Anthony F Turhollow,et al.  BASELINE COST FOR CORN STOVER COLLECTION , 2002 .

[27]  C. Alan Rotz The Integrated Farm System Model: A Tool for Developing more Economically and Environmentally Sustainable Farming Systems for the Northeast , 2004 .