The collaborative optimization of uncertain supply chain network under multi-generation co-existence
School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou, 310018, China
This paper studies the collaborative optimization of multi-generation co-existence supply chain network of single manufacturer, multi-distribution centre and market. Firstly, we considered the effects of prices, time and substitutability on the market demand of both new and old products and the whole production and marketing decision, and then subdivide the products demand of each generation. Secondly, considering that as the lifecycle stage of each generation differs, there exist differences in demand characteristics, which make the structure of supply chain network obviously different, we built WCVaR risk optimization model of production-distribution network under co-existence, which subjects to scattering distribution constraints and solve the model by Lingo11.0 and then made simulation analysis. Lastly, we verified the validity of the model with the optimization results of numerical simulation.