Optimal Configuration Methods Of Product Family Supply Chain Considering Capacity Constraints With Analytic Target Cascading

The fierce global competition in the 21 st century has triggered a customer-centered buyer's market which leads to a demand environment with increasing uncertainty and change.As a result,the manufacturing industry has been facing the challenge of providing sufficient product variety to meet diverse customers' requirements as well as quick response to dynamic customers' needs while maintaining economies of scale and scope within manufacturing processes.Gladly enterprise has solved this contradiction effectively via the development and use of product family and product platform,and has realized the target of mass customization.Product family s upply chain is the integration of product family and supply chain network.In the strategic phase of a given supply chain network,companies face a series of challenges to configure each stage or node of the network.Usually there are several options of each node of supply chain network to conduct its functionality and potential inventory points.The design to decide which option of each node is chosen and at which position to place the inventory from each node is so called supply chain configuration.It achieves the overall coordination and optimization of supply chain by optimizing the procurement,assembly,distribution etc.strategies and inventory control strategy parameters.With the increasingly diversified and characteristic of customer demands,the uncertainty of market demand has been intensified,which makes the normal operation of supply chain becoming more and more constrained by the production capacity of enterprise.Therefore,when studying the optimal allocation of product family supply chain,it is more and more important to consider factors such as uncertainty of market demand and limited production capacity of node companies.Hence,this paper starts with the integration optimization of product platform for supply chain and product family,extends to discrete manufacturing enterprises,to study the approaches to optimize the product family supply chain allocation based on multi-source procurement strategy,under the condition of uncertain demand and limited production capacity of enterprises.Firstly,we will analyze the current existing problems of discrete manufacturing enterprises under the condition of uncertain market demand.Based on the research status in these fields from home and abroad,we will discuss the concept of supply chain configuration,product family and supply chain integration optimization as well as the multidisciplinary design optimization methods used in supply chain configuration,to illustrate the theoretical and practical value of the research.Secondly,based on the uncertainty of market demand,an optimal allocation model of product family supply chain will be established,which will adopt the multi-source procurement strategy and will be under constraint of production capacity.Basing on the service model,and under the environment of multi-source procurement,we will setup corresponding configuration model respectively in response to those nodes of supply chain of product family for procurement,assembling and distribution,by analyzing the relationship of safety stock and market demand,as well as net replenishment time.Finally,an ATC optimization method based on improved genetic algorithm will be proposed to solve the model,and the influence of product platform on the operation of supply chain will be obtained,by analyzing the configuration results between single product supply chain and the product family supply chain.At the same time,the relevant key parameters are sensitively analyzed to obtain the corresponding management significance.