A performance and preferences based multi-objective assignment model with fuzzy inference system for worker assignment: a case study of spare parts department of agricultural machinery dealer
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Abstract
The main objective of this paper is to introduce a new multi-objective assignment model based on worker performance and preference analyses. A Fuzzy Inference System (FIS) was applied to analyze workers' performance and preferences with ten criteria. The proposed model was used to solve the worker assignment problem of the case study and compared to the other three assignment methods: the solution from the case study, the linear assignment model based on processing time, and the linear assignment model based on opportunity and self-development. The comparative results showed that the proposed model provided the best solution in terms of overall performance at 0.7169, whereas the other three methods were at 0.4526, 0.6335, and 0.4751, respectively.
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