Ways Of Making Order Decision Of Multi-Period Reverse Logistics Inventory Systems Research

With the enormous appearance of products backflow, each enterprise involved in the supply chain has to face and dispose of these returns. Due to its uncertainty, dispersion and variation, the originally complicated inventory problem becomes more difficulty to control and manage. Reverse logistics is paid close attention in logistic research theoretically and practically. Up to now, theoretical researches related to reverse logistics inventory problem just analyse multi-level inventory from the view of overall supply chain(s). Meanwhile, each enterprise involved in the supply chains needs to pay more attention to its own inventory system, including the change situation and future tendency, in order to make proper order strategy. So optimal order decision of multi-period reverse logistics inventory systems appears. This essay tries to find out a set of operational multi-period reverse logistics inventory order strategy. So that firms facing these problems can draw inspiration from it.The main focus of this paper is to find ways of making optimal order decision of multi-period reverse logistics inventory systems. Therefor, several reverse logistics inventory models (RLIM) are built up, such as single-period RLIM, double-period RLIM, current optimal multi-period RLIM, partial optimal multi-period RLIM, and partial optimal by weighted average multi-period RLIM. Additionally, a model of demand forecast, which bases on methods of least square and exponential smoothing, also be made. By data simulating and analyzing, the thesis has done some explorative research concerned.Under the prerequisite of fixed period order, taking the inventory system of sales company as object of study, paper analyzes the moving state of inventory system by Matlab program and Simulink emulation tools. Some conclusions and achievements have been found that: (l)The partial optimal by weighted average multi-period RLIM has good stability and extensive representation, and it can be the superior model of multi-period reverse logistics inventory problem. (2)During resolution of multi-period inventory problem, the partial optimal multi-period RLIM, is not always better than the...