A Research On Reverse Supply Chain Management System In Steel And Iron Industry

Some of the activities related to reverse supply chain in iron and steel industry have been in existence for a long time, however, the management of most enterprises are still confined to the kind of simple, extensive management, such as the development of several methods, or system. These activities related to reverse logistics do not have an effective logistics organization, resulting in the high cost of business operations, thus affecting the recycling of scrap steel and re-utilization. In view of the above issues, this thesis has done a research on reverse supply chain management in steel and iron industry, its main contents are as follows:First, the causes, the driving force for development and the general process of the reverse supply chain are reviewed, and on this basis, do a research on recycling of the scrap steel;Second, it analyzes the material cycle in steel and iron industry from aspects of the material balance and the reverse logistics operation, and establishes the production modal, consumption modal and recycling network modal of the scrap steel. Using improving the simulated annealing algorithm, has achieved a solution for this scrap steel recycling network model, and select the Lingo9.0 software to verify the optimization results of the simulated annealing algorithm;Third, it analyzes uncertainty issues of the reverse supply chain, on this basis, studies the application of the grey prediction, and establishes the GM (1,1) model, achieves the grey prediction of the uncertainty issues. On a basis of the actual data, predicts the market price and supplying amount of the scrap steel, and through the residuals analysis, the credibility of the Gray prediction was verified;Fourth, it analyzes business processes and dataflow of the reverse supply chain in steel and iron industry, designs the system's functional structure. Using the 3-Tier architecture of B/S, achieves the major functions.