The research on modeling and optimizing of remanufacturing reverse logistics networks
Wu MiLiang
Abstract
Wu MiLiang
Abstract
Arm at problems for waste recycle and treatment, the article construct system of remanufacturing industry reverse logistics networks, and build MILP(Mixed-Integer Linear Programming) model in order to minimize operating cost of reverse logistics from two reverse logistics handling methods of remanufacturing and raw materials recycle . Then the article ascertain the number and location of all kind of recycle center and handling establishment local and assign optimizing logistics amount at logistics route consist of net nodes . Finally, the article validates model validity and feasibility.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Arm at problems for waste recycle and treatment, the article construct system of remanufacturing industry reverse logistics networks, and build MILP(Mixed-Integer Linear Programming) model in order to minimize operating cost of reverse logistics from two reverse logistics handling methods of remanufacturing and raw materials recycle . Then the article ascertain the number and location of all kind of recycle center and handling establishment local and assign optimizing logistics amount at logistics route consist of net nodes . Finally, the article validates model validity and feasibility.
Key concepts: Remanufacturing, Reverse logistics, Integer programming, Computer science, Linear programming, Construct (python library), Supply chain, Manufacturing engineering