Abstract

In this work the Administration System of Agricultural Machinery Model (ADOMA) was improved, by including the economic losses due to tardiness in the operations execution, in addition, the uncertainty associated to economic losses was incorporated by using fuzzy logic. To this end, a decision support system was developed that performs the operation scheduling based on fuzzy logic. This system is called the Fuzzy Logic Decision Support System (FLDSS). The information about economic losses for tardiness of four common crops in the VIII Region of Chile was compiled. The values of losses were converted to fuzzy values and represented by fuzzy trapezoidal numbers. Subsequently, the fuzzy numbers were ranked in order to assess the priority in the execution of the operations and the assignment of machines. To validate the model, a stage was elaborated with crops for which information related to economic losses were available and with two crops without this type of information. The data were introduced in both models ADOMA and ADOMA FLDSS models. The results indicated that the obtained scheduling adjusts better to the requests of a stage with multiple crops, privileging those crops of greater economic importance to the farmer, in addition, the operations schedule was programmed within the established dates