Title :
Wedding photography service scheduling to maximize customer satisfaction
Author :
Wang Jun-qiang ; Guo Yin-zhou ; Cui Fu-dong ; Zhang Cheng-wu ; Wang Shuo ; Sun Shu-dong
Author_Institution :
Performance Anal. Center of Production & Oper. Syst. (PacPos), Northwestern Polytech. Univ., Xi´an, China
Abstract :
Wedding photography scheduling as a typical service scheduling characterizes by independent service items, adjustable order of service item and expected service time of customs. Aiming at the scheduling issue, a wedding photography scheduling model is established to maximize customer satisfaction. Then, a clustering-based adaptive genetic algorithm (CAGA) is designed to solve this model. An orthogonal design method is used to determine the optimal parameters of adaptive crossover and mutation operators in GA and optimal number of clusters in k-means clustering. Finally, the effectiveness of this model and proposed method are verified through 10 simulation examples. The results show that clustering analysis effectively increases genetic diversity and the proposed method successfully improves customer satisfaction.
Keywords :
customer satisfaction; customer services; genetic algorithms; photography; scheduling; CAGA; adaptive crossover operators; clustering analysis; clustering-based adaptive genetic algorithm; customer satisfaction; genetic diversity; k-means clustering; mutation operators; orthogonal design method; service scheduling; wedding photography service scheduling; Analysis of variance; Artificial intelligence; Barium; Bismuth; MATLAB; Sun; clustering analysis; customer satisfaction; service scheduling; time windows; wedding photography scheduling problem;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
