A decision support system for agricultural machines and equipment selection: A case study on olive harvester machines

作者：Hafezaikotob Ashkan^*; Hami Dindar Aida; Rabie Naghmeh; Hafezalkotob Arian

来源：Computers and Electronics in Agriculture, 2018, 148: 207-216.

DOI：10.1016/j.compag.2018.03.012

• Best-worst method (BWM)
• MULTIMOORA
• WASPAS
• Target-based criteria
• Agricultural machine selection

Olive is considered as one of the most important and useful products, but the traditional harvesting methods are failing to fulfill the current need; therefore, it is crucial to make the olive harvesting mechanized. In order to expedite the olive harvesting mechanization process, the engineers have designed various machines and equipment, which have their own special advantages. Now, the main challenge is to select the best olive harvesting machine to develop and improve the economic conditions in agricultural field to maintain the food demand. In the present study, we intend to present a decision support system to aid decision-making about olive harvesting machines. To achieve this target, we evaluate six candidate machines with nine important criteria and classify them into three groups: beneficial, non-beneficial, and target-based criteria. For weighting the criteria, the best-worst method is applied, and because of having target criterion in the selection problem, the decision matrix is normalized by the target-based technique. Finally, using two proposed methods, target-based MULTIMOORA and WASPAS, we select the best harvesting machine. In addition, we employ dominance method to integrate the resultant rankings of harvesting machines.

• 出版日期2018-5