Order Allocation Optimization And Execution Tracking For Building Material Equipment Manufacturing Enterprise

Building Material Equipment Manufacturing Industry is a general term of manufacturing industry which provides various kinds of technical equipment for the basic building material industry of national economy.It is an important guarantee for upgrading and technological progress of building material industry.Building materials and equipment products have the characteristics of large output value,complex structure and process,long production cycle and highly individualized,leading to the major difficulties in order scheduling and cost control during order execution.Therefore,this thesis aims at the two problems faced in building material equipment manufacturing enterprises(BMEMEs),focusing on “order decomposition – order reorganization – order allocation – order production – order delivery – order after sale”,research on three key technologies of order execution process: order decomposition and reorganization optimization,optimal allocation of outsourcing orders,and status monitoring of order execution process.The research contents are listed as follows:(1)On the basis of analyzing the business process and characteristics of BMEMEs,the order execution process model of BMEME is constructed.The entity relationship and node information of order execution process is determined with emphatically analysis of the order execution process in BMEMEs.The related criteria of problem solving are established for order schedule and order cost accounting,and an order execution tracking management system(OETMS)to handle the three key issues is also proposed.(2)Based on the characteristics of order execution process in BMEMEs,as well as combined with BOM structure of order products,the framework of order optimization decomposition method for BMEMEs is established,and a product structure tree order decomposition method based on BOM is proposed.The order is decomposed into a certain size of granularity,and optimized the decomposition with suborder reuse,coupling and equilibrium as constraints.The effectiveness of the decomposition method is validated by using cement mill of typical building material products.The results show that the proposed method has improved the execution efficiency of orders and ensured the deliver time.(3)To handle the order allocation problem in BMEMEs,the evaluation index system of green suppliers for BMEMEs is put forward.The intuitionistic fuzzy TOPSIS method is used to optimize outsourcing suppliers.A multi-objective order allocation model for BMEMEs is constructed with delivery time,completion quality and total cost of the order.An improved Grey Wolf Optimizer(GWO)algorithm is designed to solve the proposed model.The experimental results show the improved GWO has outperformance in local search ability and solving speed.(4)To deal with the difficulty of scheduling and cost control in order execution process of BMEMEs,a monitoring framework for order execution process is established based on the acquisition of underlying data by means of RFID,scanner,handheld mobile devices,etc.A multi-source data fusion tree model of order execution progress is proposed.The process level,part level,component level,product level and order level progress are obtained by fusing the data of different hierarchical structures.The order execution capital flow model is proposed,and the cost progress of the order is obtained by comparing total income with total expenses.Meanwhile,a monitoring mechanism considering real-time data and monitoring benchmark for order execution process is proposed to realize the early warning of order progress and order cost.(5)Through analyzing the requirements of OETMS for BMEMEs,the implementation framework of OETMS is designed and the functional modules are developed.The developed system is applied to a BMEME in Tangshan,China.The practical application effect has been verified with improvement in order schedule control and order cost control.