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 peri...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.展开更多
文摘为了使FPGA(field grogrammable gate array)布局系统能够处理含有快速进位链及IP(intellectual proper-ty)核的复杂电路,在模拟退火算法的基础上,提出一种新的FPGA布局算法。该算法对含有快速进位链和不含快速进位链的电模块分别构造和调用不同的评价函数。以此来优化布局系统,实验结果表明,此布局系统与最具代表性的VPR(versatile place and route)布局系统相比增加了处理进位链和IP核功能,提高了布局系统性能。
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)
文摘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.
