Reseach On Lot-sizing Decision Of Make-To-Order Enterprise Based On Supply Chain Management

In order to have a quick response to the individualized and diversified needs of consumers,manufacturing enterprises in China have commonly adopted the mode of Make-To-Order.However,MTO has increased the uncertainty and dynamics of production planning in enterprises.In order to meet the competitive environment and requirements of the new market,more and more MTO have decided to establish the partnerships of the upstream and downstream businesses based on supply chain collaboration.Therefore,the partnerships are beneficial for them to achieve information sharing and complement each other and reduce the overall cost.To optimize the partnerships,this paper has taken the order production enterprises in China as the research objective and the Lot-sizing as the mainline,the Lot-sizing modeling and optimization of MTO enterprises has been investigated from the view of the supply chain.The research results have provided a theoretical basis and methodological reference for the practice of Lot-sizing decision-making in MTO in China.The details are shown as follows:(1)Literature review.The theory and method are introduced about the production plann-ing and optimization of make-to-order enterprises,the production decision-making under un-certain demand/random yield,Lot-sizing decision-making based on supply chain(2)Lot-sizing decision-making.?the single-stage and two-stage optimal Lot-sizing models are constructed and the optimal Lot-sizing is obtained.By comparing the different stages of expression,it is found that the optimal Lot-sizing lot expression of the single stage is related of the demand distribution function of the unit production cost,the unit out-of-stock cost and the unit overproduction cost.At the same time,from the second stage of the second stage of the optimal Lot-sizing expression found:the second stage of the optimal production batch in addition to the second phase of the demand distribution function,the unit out-of-stock cost,unit inventory costs and unit production costs,The stochastic demand for the first stage is related to the optimal Lot-sizing of the first stage and increases with the stochastic demand of the first stage,and decreases with the increase of the optimal Lot-sizing in the first stage.?the Lot-sizing decision-making model corresponding to the multi-stage with single-product and multi-stage with multi-product is established respectively,Then,In order to solve the model,the optimal Lot-sizing of each stage is obtained by dynamic programming algorithm.(2)Input quantities2 decision-making under random yield.?Due to the production of various factors effects,making the output of qualified products with uncertainty,the establishment of product failure rate continuous random distribution production model,solution to save the optimal input quantities,and given the most The equation of optimal input quantities.?Considering some failure rate probability function is too complicated can not be solved by mathematical expression,the product is not qualified discrete random distribution production model,combined with the characteristics of the model,designed the step-comparison algorithm to solve the model.?According to the principle of "learning curve",with the increase of product output,workers can learn to constantly reduce the product failure rate,the establishment of a learning curve based on the production model,and through an aluminum company to verify the model and decision-making of input quantities method is effective.(4)Input quantities decision-making under random yield based on supply chain.?Given that the demand is linearly related to the price,the functional relationship between the output and the price is created.On this basis,the centralized and decentralized decision making model with the expected profit of the supply chain as the objective function and quantity put into production as the decision variable is established.The optimal input quantities increased by the increase of the potential demand of the market,and decreases with the increase of the production cost and the variance of the pass rate.In the centralized decision,the optimal input quantities increased with the increase of the potential demand of the market.In the decentralized decision,the optimal input quantities increases with the increase of the market potential demand,and decreases with the increase of the price elasticity coefficient and the variance of the variance rate.?Afterwards,from the perspectives of the supplier and the supply chain,the optimal wholesale price expression corresponding to the decentralized decision-making model is determined respectively.Although the profit based on the view of the supply chain is better than the profit from of the side of the supplier,it makes the supplier's profit become zero.Therefore,considering the profit distribution to the seller and the supplier no less than that from the wholesale price decision based on the view of the supplier,the profit coordination model is constructed.This model is beneficial for the determination of the range of profit distribution coefficient,which effectively solves the tough problems of unreasonable distribution of the profits leading to supply chain coordination broken.and through a wholesale market of clothing to verify the model and decision of input quantities method is effective.(5)Input quantities decision-making under random yield based on closed-loop supply chain.Based on the uncertainty of output and the recovery of old products,consider the supply of suppliers,the sale of sellers,the recovery of sellers,and the establishment of closed and distributed supply models with variable output and consumer recovery as decision variables.Through the analysis of the model,it can be seen that they have the best combined input quantities and the optimal consumer return price,which proves that under the closed-loop supply chain centralized decision,the optimal output is less than the general supply chain;The optimal output and the optimal wholesale price are equal to the general supply chain,and through an old product recycling market to verify the model and decision of input quantities method is effective.(6)Input quantities decision-making under uncertain demand and random yield based on supply chain.Considering the uncertainty of demand and the randomness of product qualification rate,the decision-making model and centralized decision-making model of supply chain with decision-making variables are established respectively.(2)For the decentralized decision model:it is proved that the seller has the optimal order quantity and gives its mathematical expression.Considering that the seller is ordering with the optimal order quantity,the supplier enters the input production quantities with the order quantity,The optimal input quantities of the model are obtained by the analysis of the uniform distribution of the demand and the input quantities of the product.The optimal input quantities are deduced as the product is put into production again.The average cost of the preparation,the average distribution of demand,and the shortage of the shortage of the unit due to the increase in the cost of the defective unit,and the decrease in the cost of the product's substandard unit and the increase in the cost of the overdelivery unit.(3)For the centralized decision model,considering the uncertain demand and output,the decision-making model of the input quantities is established,and the optimal input quantities of the model is proved.The optimal input quantities mathematical expression is obtained by the analysis of the uniformity distribution model through the demand and product qualification rate,The optimal input quantities is increased with the increase of the average cost of the re-production of the product and the uniform distribution of the demand,and decreases with the increase of the processing cost of the unqualified unit.The decision of input quantities method provided in this paper is verified to be effective through an aluminum company in GD.