Inventory System Simulation And Strategy Research Based On Feedback Control Method

With the development of science,technology and the economy,the business environment of the company has undergone tremendous changes.Inter-enterprise competition has evolved into competition between supply chains across the industry.The supply chain can be modeled as an inventory system.Inventory management can effectively improve the operational efficiency of the entire supply chain;it includings costs,profits,and assurance of service levels.In supply chain management,inventory control management is very important.Order level,order ratio and time delay directly affect the efficiency,cost and service level of the entire inventory system.The supply chain inventory environment is complex and involves many irregularities factors.It is impossible to accurately describe the inventory system with mathematical models alone;simulation is the best way to simulate the operation of complex inventory systems.Applying the simulation method to study the complex inventory optimization problem is not only feasible but also can effectively improve the inventory system operation.Scholars' research on the relationship between inventory parameters and inventory status only at a specific service level,and does not consider different service levels.The multiechelon inventory system simulation study does not consider the difference between the order quantity and batch of the enterprise.Details of the research work are listed below.The relationship between inventory parameters and inventory status is studied by singlelevel inventory system simulation,and the sensitivity of parameters under different service level constraints is further compared and analyzed.The mathematical model is built according to the inventory system model,and the control model under the complex frequency domain is transformed by Laplace transform.The inventory simulation model is built by using the simulink simulation environment.The model includes nonlinear order control,time delay control,and order proportional control module.The changes of inventory parameters and inventory status are analyzed by mediation of each module.However,this rule is not general,that is,the same change of inventory parameters has different effects at different ordering levels;considering this particularity,the sensitivity of inventory parameters at different ordering levels is further explored.The above simulation results provide the basis for setting inventory parameters for the multi-level inventory system with different batch and batch characteristics,and provide theoretical basis for the inventory management optimization strategy.A multi-level inventory simulation model with different order batches and batch characteristics was constructed to study the volatility,bullwhip effect and order fulfillment rate of the inventory system.Compare and analyze the optimization of information forecasting,information sharing,fixed order and order compensation mechanism models in multi-level inventory.The simulation results show that the information compensation mode has the best effect on the bullwhip effect and volatility of the supplier.Aiming at the problem of out-of-stock delivery in multi-level inventory,the information sharing and forecasting are used as background to analyze the mitigation effect of service level on out-of-stock delivery.By adjusting the inventory parameters to set the service level of different levels of nodes,and then analyze its inhibition of out-of-stock.According to the sensitivity of inventory parameters,a series of inventory optimization strategies are proposed.Based on the results of multi-level inventory simulation,strategies for relieving bullwhip effect and out-of-stock delivery are proposed.In this paper,the sensitivity of inventory parameters,the volatility of multi-echelon inventory,the bullwhip effect,and the shortage of stock-out are studied by simulation methods.The research conclusions have reference and guiding significance for optimizing inventory management.