Simulation-Based Optimization for the Fast Fashion Replenishment  

作　　者：齐洁 张晶 

机构地区：[1]School of Information Science and Technology,Donghua University [2]Engineering Research Center of Digitized Textile and Fashion Technology,Ministry of Education,Donghua University

出　　处：《Journal of Donghua University(English Edition)》2016年第3期495-500,共6页东华大学学报（英文版）

基　　金：The Key Program of National Natural Science Foundation of China(No.61134009);Natural Science Foundation of Shanghai,China(No.16ZR1401200);Fundamental Research Funds for the Central Universities,China(No.2232015D3-24)

摘　　要：Fast fashion is a commercial pattern which provides fashionable clothes at affordable price.This mode needs rapid response supply chain to respond to varying fashion trends.New styles are introduced in every sale period to cover fashion trends.In order to maximize profits,replenishment quantity of each style should be decided in every period.The purchasing and replenishing process over multiple periods based on uncertainty customer demand is modeled,which is formulated by a stochastic choice process.Heterogeneous consumers visit a store in a stochastic sequence and choosing dynamically from the available fashion styles(buy or not buy) according to a utility maximization criterion.The purchase process in a retail shop for multi-period is simulated.An algorithm which combines simulated anneal(SA) with gradient estimation is proposed to find the optimal replenishing strategy from the simulation program.Fast fashion is a commercial pattern which provides fashionable clothes at affordable price.This mode needs rapid response supply chain to respond to varying fashion trends.New styles are introduced in every sale period to cover fashion trends.In order to maximize profits,replenishment quantity of each style should be decided in every period.The purchasing and replenishing process over multiple periods based on uncertainty customer demand is modeled,which is formulated by a stochastic choice process.Heterogeneous consumers visit a store in a stochastic sequence and choosing dynamically from the available fashion styles（buy or not buy） according to a utility maximization criterion.The purchase process in a retail shop for multi-period is simulated.An algorithm which combines simulated anneal（SA） with gradient estimation is proposed to find the optimal replenishing strategy from the simulation program.

关 键 词：fast fashion supply chain stochastic choice REPLENISHMENT simulation-based optimization simulated annealing 

分 类 号：F405[经济管理—产业经济] TP18[自动化与计算机技术—控制理论与控制工程]