Considering the distribution staff's satisfaction and fuzzy characteristics of customers' time window, the paper makes fuzzy description and measure-ment of staff satisfaction from such three aspects as salary and welfare, work-ing strength and harmonious cooperation. Taking the minimum total logistics distribution cost and maximum distribution staff satisfaction as the objective functions, the study constructs the logistics distribution vehicle scheduling model considering the staff satisfaction and fuzzy time window. The plant growth algorithm is designed to solve the logistics distribution vehicle sched-uling model. The simulation results show that the proposed the model suc-ceeds in improving the customer satisfaction and the distribution efficiency, and that the optimization algorithm is feasible and effective.
CITATION STYLE
Ren, X. Y., Kong, Z. F., Liang, W. C., Li, H. C., & Zhou, X. Y. (2017). Vehicle scheduling based on plant growth simulation algorithm and distribution staff behavior. Advances in Production Engineering And Management, 12(2), 173–184. https://doi.org/10.14743/apem2017.2.249
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