Research On Tobacco Storage Rack System Based On Mixed Hill-climbing Algorithm

Storage as part of the modern logistics, modern warehousing and logistics transformation in the traditional warehousing and logistics of the tobacco industry at the same time, has become the core. Tobacco warehouse picking research as a key element of each node of its logistics system, a concentrated expression of the contradiction lies between nodes, thus the key to a tobacco company the pros and cons of the logistics processes is reflected in the extent of the storage cargo.The biggest difference between the traditional warehousing and storage industry is reflected in the inventory management. Traditional warehousing industry is based on the total warehouse capacity as a basis, always think that as long as the warehouse perennial keep the Mancang state, its utilization is high, there is no limit on the location of goods within the warehouse, complete with the wishes of the workers or older workers job, the feeling of this model and contrary to the purposes of modern warehousing, as a modern warehouse, the first thing to consider is to improve the efficiency of the operating staff for the premise, only a warehouse of goods placed in accordance with certain rules, as far as possible warehouse total area of the same circumstances, to reduce workers walking paths, to improve the warehouse turnover, reduce costs, increase revenue in order to ultimately maximize the This is also the inevitable trend of development of the tobacco warehouse management.The paper's main job is to first build tobacco warehouse logistics system of random logic on Petri-Net model. The difference between this model with the past, traditional Petri-Net model is a double token and double identity, and the introduction of scheduling rules.Model followed by the use of hybrid hill-climbing algorithm, compared with the previous single linear, mixed-climbing algorithm is one of the "climbing" step partial merger, and then combined with the theory in the local merging step the introduction of suitable algorithmssolving multi-constraint problem. Such processing in accordance with the "climbing" process fast solving, but also to small-scale processing of multi-constraint problem. Then, according to the special nature of tobacco industry products, the introduction of the concept of the cost coefficient to solve the storage study did not take into account the value of the product itself, the impact of the storage sites.Finally, in order to verify the feasibility of the algorithm, the algorithm model into the simulation model, using the Witness simulation and analysis of model data, the simulation parameters obtained in comparison with the instance parameter, and verify the feasibility of the method used in this study.