Archives > Volume 12 | Number 2 | June 2017 > pp 173–184
Advances in Production Engineering & Management
Volume 12 | Number 2 | June 2017 | pp 173–184
Vehicle scheduling based on plant growth simulation algorithm and distribution staff behavior
Ren, X.Y.; Kong, Z.F.; Liang, W.C.; Li, H.C.; Zhou, X.Y.
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A B S T R A C T
Considering the distribution staff's satisfaction and fuzzy characteristics of customers' time window, the paper makes fuzzy description and measurement of staff satisfaction from such three aspects as salary and welfare, working 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 scheduling model. The simulation results show that the proposed the model succeeds in improving the customer satisfaction and the distribution efficiency, and that the optimization algorithm is feasible and effective.
A R T I C L E I N F O
Keywords • Vehicle scheduling, Logistics distribution, Staff satisfaction, Plant growth simulation algorithm
Corresponding author • Liang, W.C.
Article history • Received 7 March 2017, Revised 15 May 2017, Accepted 16 May 2017
Published on-line • 31 May 2017
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