Capacity planning in agricultural field operations needs to give consideration to the operational system design which involves the selection and dimensioning of production components, such as machinery and equipment. Capacity planning models currently onstream are generally based on average norm data and not on specific farm data which may vary from year to year. In this paper a model is presented for predicting the cost of in-field and transport operations for multiple-field and multiple-crop production systems. A case study from a real production system is presented in order to demonstrate the model’s functionalities and its sensitivity to parameters known to be somewhat imprecise. It was shown that the proposed model can provide operation cost predictions for complex cropping systems where labor and machinery are shared between the various operations which can be individually formulated for each individual crop. By so doing, the model can be used as a decision support system at the strategic level of management of agricultural production systems and specifically for the mid-term design process of systems in terms of labor/machinery and crop selection conforming to the criterion of profitability. © 2016, Scientia Agricola. All rights reserved.

A cost prediction model for machine operation in multi-field production systems

SOPEGNO, ALESSANDRO;BUSATO, Patrizia;BERRUTO, Remigio;
2016-01-01

Abstract

Capacity planning in agricultural field operations needs to give consideration to the operational system design which involves the selection and dimensioning of production components, such as machinery and equipment. Capacity planning models currently onstream are generally based on average norm data and not on specific farm data which may vary from year to year. In this paper a model is presented for predicting the cost of in-field and transport operations for multiple-field and multiple-crop production systems. A case study from a real production system is presented in order to demonstrate the model’s functionalities and its sensitivity to parameters known to be somewhat imprecise. It was shown that the proposed model can provide operation cost predictions for complex cropping systems where labor and machinery are shared between the various operations which can be individually formulated for each individual crop. By so doing, the model can be used as a decision support system at the strategic level of management of agricultural production systems and specifically for the mid-term design process of systems in terms of labor/machinery and crop selection conforming to the criterion of profitability. © 2016, Scientia Agricola. All rights reserved.
2016
73
5
397
405
http://www.scielo.br/pdf/sa/v73n5/0103-9016-sa-73-5-0397.pdf
Binary programming; Decision support system; Machinery management; Strategic management; Agronomy and Crop Science; Animal Science and Zoology
Sopegno, Alessandro; Busato, Patrizia; Berruto, Remigio; Romanelli, Thiago Libório
File in questo prodotto:
File Dimensione Formato  
A cost prediction model for machine operation in multi-field production systems.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 830.83 kB
Formato Adobe PDF
830.83 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1617560
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 4
social impact