Research On The Inventory Control Strategy Based On Reverse Logistics

In recent years under the pressure of environment laws and rules and the driving of economy benefit, reverse logistics opposite to the traditional supply chain direction has become a very important question concerned by enterprise managers and researchers in related academic areas.Reverse Logistics is the process of planning, implementing, and controlling efficient, cost effective flow of raw material, in-process inventory, finished goods and related information from the point of consumption to the point of origin for the purpose of recapturing value or proper disposal.Inventory management and control is the most important part of the reverse logistics as well as forward logistics. Under the client-oriented trend today, goods rejection or products backflow is more often than not universal. In the manufacture enterprises, especially in automobile and consumable electronics industry, the amount of returns is very large and causes serious resource waste. This thesis studies the inventory control in reverse logistics because it is really meaningful for these enterprises.Based on traditional inventory models, reverse logistics is introduced in this thesis and several innovative models with much more feasibility have been developed and verified. Therefore, theory of inventory control has been enriched and meanwhile, theoretical foundation has been provided for enterprises that implement inventory control in reverse logistics.Chapter 1 introduces the purpose and significance to research inventory control in reverse logistics and analyses the domestic and overseas research state, and then points out this thesis'primary research content and innovation. Chapter 2 analyses the rationale of inventory control in reverse logistics including summary of reverse logistics, traditional inventory control theory and reverse logistics inventory control theory. Chapter 3 researches the static determined inventory control model in reverse logistics based on demand not changing with time and puts forward two different handling EOQ models which are validated by numerical examples. Chapter 4 researches the dynamic determined inventory control model in reverse logistics based on demand changing with time and puts forward models with no return lead time and having return lead time in the condition of demand, return and purchasing price changing with time at the same time. Then the models are solved and validated by numerical examples. Chapter 5 researches the single-period reverse logistics inventory control model having two ordering opportunities and the demand information updating within the period and then the model is solved and validated by numerical examples. Finally, we summarize this thesis and propose the future research of inventory control in reverse logistics.