Research On Resource Allocation Of Manufacturing Cell Oriented Multi-varieties And Scalable-batch Manufacturing Enterprise

With the increasingly diversified and personalized market demands,multi-varieties and scalable-batch manufacturing mode has become the mainstream in the manufacturing enterprise.Under this situation,many production management problems arise due to the unstable demands,high mixed productive tasks and flexible manufacturing resources.Accordingly,it's significant for multi-varieties and scalable-batch manufacturing enterprise to improve production efficiency and benefit through manufacturing cell formation and optimal allocation of manufacturing resources towards different productive tasks.Aim at manufacturing cell formation and manufacturing resources allocation problem involved in multi-varieties and scalable-batch manufacturing,this paper research on following contents via clustering method and programming method:(1)Clustering of multi-varieties and scalable-batch productive tasks based on process similarity.Based on analysis of specific characters of multi-varieties and scalable batch productive tasks,this paper comprehensively considers process route and resource demand these two aspects to measure their similarities.The longest common subsequence is applied to measuring the similarity of process route,and the grey absolute correlation degree is utilized to measure the similarity of resource requirements.Then a comprehensive similarity coefficient is defined combining these two characteristics,and a novel part clustering model based on dual similarity is proposed.The clustering result provides a basis for manufacturing cell formation and the solution for the production management problem caused by process complexity.(2)Manufacturing cell formation based on expected demand of productive task.After dividing manufacturing cells based on the clustering result of productive task,this paper proposes a integer programming model to allocate manufacturing resources including machine and labor into different manufacturing cells,aiming at minimizing the differences between capacity that tasks demand and resources provide in each cell.Then a solution method to this model is designed based on genetic algorithm.Manufacturing resources included machines and labors are allocated into different cells via optimal solution and provide multi-varieties and scalable-batch manufacturing enterprise with guidance for cell formation on production planning stage.(3)Dynamic allocation of manufacturing resources in manufacturing cells considering multi-cost constraints.Aiming at the allocation of manufacturing resources when constructed manufacturing cells receive real-time productive tasks,this paper proposes a dynamic manufacturing resources allocation model comprehensively considering machine processing cost,labor cost,cost of workpiece transportation,inventory cost,backorder cost and outsource cost.Meanwhile,solution of proposed model is designed based on genetic algorithm.Further,cases without backorder cost and outsource cost are solved and verify the significance of these two kinds of cost towards multi-varieties and scalable-batch manufacturing enterprises.