Stochastic inventory-transportation integrated optimization with time windows
带时间窗的随机库存—运输整合优化研究*

The model of single-cycle inventory-transportation integrated optimization(ITIO) with time windows was constructed for one-center & multi-client distribution system.The results of the example without time windows by tabu search algorithm show that ITIO is superior to best-select and suboptimal-select strategy on total cost and total number of vehicles used,and therefore prove the theoretical and practical values of ITIO.Meanwhile,a comparison with results by genetic algorithm shows that the tabu search algorithm has an advantage while solving this kind problem.Furthermore,the time windows was added into the ITIO and the problem was solved.The results obtained not only meet clients’ time limits,but save the total cost of inventory-transportation compared with best-select and suboptimal-select strategy,which promotes the ITIO model and its algorithm to be more closely applicable.