Inventory Management For Steel Company Under The Constraint Of User Demand

In the current supply-side reform environment of the steel industry,steel companies want to improve the efficiency of business management and improve the competitiveness of the industry,they must optimize their own user needs,and inventory management is not only one of the important issues in operation management.It is also one of the most effective aspects at present.Therefore,this paper has conducted research on the issues related to the inventory management of steel companies.From the perspective of the supply chain,they have studied the inventory management of steel companies with constant demand,the inventory management of time-varying demand,Random demand and inventory management issues under strategic consumer demand.According to the above problems,the corresponding mathematical models were established and solved to obtain the corresponding theoretical results and conclusions,which can provide corresponding support to the actual inventory management problems of enterprises from a theoretical perspective.The author first studies the inventory location and distribution problem of steel enterprises.Through the analysis of inventory risk pooling,it explains the importance of inventory location optimization and the impact on inventory strategy.Then,from the single-period two-level inventory network,In the two-period two-level inventory network,the multi-product single-period three-level inventory network and the inventory network considering the fixed cost,the inventory allocation problem of the iron and steel enterprises were studied,and the corresponding mathematical planning model was established.The author also studied the location of facilities in different situations.The author also studies the application of the heuristic algorithm in solving the above problems by taking the problem of factory location as an example.The main contents are:(1)Based on the enterprise inventory allocation,the author studies the optimal inventory management strategy of the enterprise under constant demand.The problem mainly deals with the inventory management of a large number of steel products in steel enterprises.The author studies the economic order quantity model that allows for delayed delivery,and on this basis,considers the impact of two different quantity discounts on enterprise inventory management issues.Further,the author studies the related issues of multiple products collaborative ordering and studies the strategies of the second power strategy,the joint ordering strategy,and the order-interval method,which provides theoretical advice for the enterprise’s multi-product inventory management.(2)On the basis of constant demand,the author further studied the inventory management problem of steel enterprises with multi-period time-varying demand,which deals with products with certain seasonal or time-varying characteristics in steel products.The author establishes an inventory model of time-varying deterministic demand.Through the analysis of the model,it is found that the problem can be transformed into the shortest path problem in the directed graph under certain conditions,and the method can be reversed after transformation.Get the shortest path and the corresponding optimal ordering strategy.The author also studies the optimal inventory replenishment problem of the enterprise when the enterprise faces the upper limit of the order every time.According to the analysis of different situations,the author gives the corresponding optimal strategy.(3)Based on the previous two chapters on the research of deterministic demand inventory management,the author finally studied the enterprise inventory management problem under the stochastic demand situation,which corresponds to the higher individualized and even customized products in steel products.The author first studies the optimal strategy problem of enterprises in an infinite period under continuous inventory inspection and steady demand.The baseline strategy is the optimal strategy for this problem.The author gives the corresponding strategy solution method.The author then studies the optimal inventory management model under the single-period stochastic demand situation and gives the optimal order quantity through analysis.The results show that the order quantity of the enterprise depends on the ratio between its potential income and potential loss.The higher the ratio,the more orders,and vice versa.The author further analyzes the problem of stochastic demand inventory management with a limited period,and also gives the optimal value of ordering baseline and order quantity.In the multi-period stochastic demand model,when the enterprise orders need to pay a certain fixed order cost,the author gives the structure of the optimal inventory strategy of the enterprise in this case by using some good properties of the K-convex function.(4)We propose a class of dynamic pricing strategies,which can be interpreted as solving the simple dynamic pricing problem of myopic customers,but the price strategy must meet the additional restrictions of "restricted submarket constraints." Sub-market constraints effectively impose intuitive constraints on the exchange rates that steel companies can discount.Such policies are called "stable dynamic pricing" policies.(5)The author analyzes the key parameters of the model through the queuing theory and inventory theory.Taking a Kunshan iron and steel enterprise as an example,the simulation analysis can be used as a powerful analysis tool for future enterprise inventory management.The enterprise constantly adjusts the inventory period and warehousing.Factors such as rate and outbound rate,thus achieving inventory balance.The main innovations include:(1)The research system sorts out the inventory management problems of iron and steel enterprises.The research in this article helps companies improve their inventory management level from the perspective of the companies themselves,can help companies improve management efficiency,enhance industry competitiveness,and to a certain extent,can also promote the structural adjustment of the entire industry;The real data was simulated,on the one hand,the results of theoretical research were tested,and at the same time,problems that could not be studied temporarily by theoretical research were also explored.It can also provide practical suggestions to specific companies and help them improve their inventory management level.(2)The study analyzes the inventory management of steel companies from different perspectives and research contexts.Although steel products have relatively few product types and specifications,there are also large differences between different products,and the strategies of inventory management are also different.The research in this paper has conducted modeling analysis and numerical values for different scenarios.Experiments can give steel companies corresponding theoretical support and practical suggestions for different scenarios,which can help companies improve management efficiency.(3)The study considers the impact of strategic consumption on enterprise inventory.We assume that customers are forward-looking,in particular,customers will arrive randomly over time,and formulate strategies for buying time.The private valuations of these customers decline over time,and customers incur monitoring costs;user decay rates and these monitoring costs are private information.Iron and steel enterprises must sell their steel product inventory within a limited range through a certain price mechanism.This paper proposes a mechanism called robust pricing.Reliable pricing ensures that the expected revenue is achieved under the best dynamic mechanism.