Research On Risk Management Of Intelligent Manufacturing APS System Construction Project For Company D

In recent years,"Made in China 2025","Smart Manufacturing","Industry 4.0" and other digital change concepts have long been an important part of the rapid development of the manufacturing industry into the vision of manufacturing enterprise managers has become the new development direction of digitalization and intelligence of manufacturing enterprise factories.In this background,in order to solve the problems of production scheduling and resource dispatching allocation in discrete production industries,various large manufacturing enterprises have carried out the construction of Advanced Planning and Scheduling(APS)system.Due to the characteristics of the APS system and the large differences in the industries in which various manufacturing industries are located,many similar projects have experienced adverse effects such as prolonged actual cycle time,actual utility not meeting expected requirements,and significant construction cost overruns,so it is important to reduce the probability of various risk factors,reduce or even eliminate the adverse effects,improve the control ability of project risks,and finally achieve the expected project results.As a large manufacturing enterprise,Company D is the first aluminum and magnesium alloy processing enterprise in China,and its main products are aluminum,magnesium,and its alloy processing products.Its products are widely used in various fields of national economy,such as weapons and ships,aerospace,rail transportation,marine engineering,petrochemical industry,electronics and light construction,agricultural machinery,etc.However,its products are facing the form of tending to be diversified,small batch and short production cycle.In order to improve the production and manufacturing efficiency and the management level of each production unit,it is proposed to plan the construction of APS system to adapt to the development of future market environment.This paper takes the APS system construction project involved in the intelligent manufacturing project of Company D as the research object,and uses the three risk management process theories of risk identification,risk evaluation and risk response as the research basis,and combines the actual risk management status of Company D to conduct risk management research on the APS system it started to build.Based on the characteristics of the industry in which Company D is located,this paper identifies risk factors for each phase of the project,including design,implementation,go-live preparation and go-live,using a combination of brainstorming and questionnaire methods.The risk factors obtained from risk identification are modeled and parameters are learned by using GeNIe Bayesian network model analysis software,and risk evaluation results are obtained.Finally,risk countermeasures are developed for the results obtained from the risk evaluation.In this paper,the risk management of the project is systematically discussed,and the theory,methods and corresponding countermeasures obtained from it can provide theoretical references for risk identification,evaluation,and countermeasures of smart manufacturing and informationization projects of manufacturing enterprises in the same field as Company D.The hierarchy of project risk factors provides business managers and project management teams with the critical factors that affect project processes and objectives.Using the obtained core risk factors,it provides an important reference for Company D to take corresponding risk countermeasures for risk control,which has certain practical significance.