Optimization in the stable region of demand information sharing supply chain systems

A DIS-APIOBPCS (demand information sharing-automatic pipeline inventory and order based production control system) model was established to confirm the system-s stability indexes. Based on the impact of system parameter on the system stability, the system stable region was confirmed. Three stability indexes were established which were ITAE (integral of time absolute error), ORATE (order rate) maximum deviation and W_n (noise bandwidth). According to optimization theory, a group of optimal solution was searched out through multi-object algorithm NASA-Ⅱ in the stable region of the system which makes the stability indexes Pareto optimal which means that one individual index could not make better off without making any other individual index worse off. The optimal stability indexes and the corresponding system parameters can be obtained in different parameters of lead time in the stable condition. Valuable insights into the importance of the stable operation of the system and the influence of the system parameters on the system-s performances in the system stable region were obtained, and then relative managerial strategies were proposed.