作者: Dario Bauso , Raffaele Pesenti , Laura Giarré
关键词: Inventory control 、 Polynomial 、 Computational complexity theory 、 Mathematical optimization 、 Economic shortage 、 Computer science 、 Nash equilibrium 、 Finite horizon 、 Exponential function 、 Supply chain
摘要: In multi-retailer inventory control the possibility of sharing setup costs motivates communication and coordination among retailers. We solve problem finding suboptimal distributed reordering policies that minimize setup, ordering, storage, shortage incurred by retailers over a finite horizon. Neuro-dynamic programming (NDP) reduces computational complexity solution algorithm from exponential to polynomial on number