The Replenishment Strategy Based On Supply Chain Contract And The Optimization Of Location Allocation

With the development of market economy and the diversification of customer demand,the market has higher requirements for daily chemical products.In order to enhance market competitiveness,daily chemical enterprises regard the optimization management of the supply chain as the focus of their work,and procurement and warehouse management,as the key links in the supply chain,have attracted great attention of enterprises.For enterprises,realizing reasonable replenishment strategy planning and location allocation of storage center is an important way to improve economic benefits and operation efficiency.Taking a daily chemical enterprise as the research object,this paper explores the optimization of replenishment strategy and location allocation by analyzing the actual operation data of the enterprise.This paper studies the optimization of enterprise replenishment strategy,and puts forward a replenishment strategy optimization model based on supply chain contract.Firstly,the replenishment demand and supply chain contract of the enterprise are comprehensively analyzed.On the basis of considering the arrival time and replenishment volume of goods,the mathematical model is constructed with the total replenishment cost as the optimization objective.Then,a bacterial foraging algorithm based on matrix coding is designed to calculate the model and obtain the global optimal solution in line with the objective function.Finally,taking the actual replenishment situation of company B as an example,call the algorithm to calculate the replenishment strategy optimization model and obtain a feasible replenishment strategy scheme.The case results further prove that the replenishment strategy optimization model can effectively reduce the replenishment cost of the company and provide a theoretical basis for enterprise decision-making.In this paper,the optimization of location allocation is deeply studied,and a two-stage location allocation model based on inter category and intra category is proposed.The first stage is the optimization of location allocation among commodity categories.Based on the historical order data of the enterprise,the associated commodity categories are divided into a category group by using the association rule algorithm,and the average turnover rate of each category group is calculated.According to the average turnover rate of the category group and the number of commodity categories in the category group,the storage center is divided into cargo areas,and the category groups with high average turnover rate are divided into cargo areas close to the warehouse outlet.The second stage is the optimization of commodity location allocation in the category.Taking the optimal turnover rate and shelf stability as the goal,the mathematical model is constructed,and the genetic algorithm is used to calculate the location allocation model in the category to obtain the location allocation scheme in line with the optimization goal.Finally,taking the storage center of company B as the research object,the location allocation problem of the storage center is solved and optimized.The case results show that the construction of the two-stage location allocation model proposed in this paper is reasonable and the algorithm is effective.