Research On Progress Monitoring Mode And Overall Design Of Early-Warning DSS In Offshore Equipment Projects

Offshore equipments are large engineering equipments and auxiliary equipments for offshore oil and gas resources development. At present, the status of offshore equipment industry of China is:development potential and market prospects are good, but project management level is lagging behind, especially in project schedule management, schedule monitoring and early-warning mode is lack of more systematic theoretical research and software support. Based on this, the MWC mode of offshore equipment project schedule monitoring and control is explored and studied here, describing its theoretical model and specific application from three aspects of monitoring, early-warning and control. The DSS of project schedule early-warning is designed to meet needs of project schedule management information. Specific contents are as follows:The content of offshore equipment project and its planning is described. Given the special nature of offshore equipment projects, and the reference of planning for progress monitoring and control, the concepts,construction models and construction process of offshore equipment projects is described. The total project construction planning system is summarized, how to plan is researched, and the relations between of schedule and progress monitoring are studied. Those supply knowledge preparation for following study of progress monitoring and early-warning.The mode and its architecture of offshore equipment project progress monitoring and control is studied. The MWC mode of progress monitoring and control is explored and studied. In the architecture, for the Monitor part, progress monitoring model is proposed based on the collection" A"; for the Early-Warning part, the progress early-warning model is studied; for the Control part, the progress dynamic control model based on PDCA cycle is researched. Progress monitoring mode with its model plays a full role of Consulate General.Offshore equipment project progress monitoring is studied based on SWBS model. Based on the WBS, the conceptual model of schedule work breakdown structure (SWBS) is proposed. Offshore equipment project progress monitoring system is constructed based on SWBS. Through the calculation and deviation analysis of progress value, the monitoring of project progress is achieved.Offshore equipment project progress early-warning is studied based on KPI. The KPI System and its early-warning principle is described; the KPI mathematical formulas and numerical statistical process is explained; the factor indicator system of offshore equipment project KPI early-warning is established, and the importance of factors is evaluated, using AHP method.The project progress dynamic control of offshore equipment project is studied. Firstly, the five principles of project progress dynamic control are overviewed; secondly, through the Gantt chart, S-shaped curve, banana-shaped curve and the front line method, this paper describes how to measure and compare the progress status of offshore equipment project; then, according to the deviation of the actual and planned progress, both causes and influences upon total duration and follow-ups are analyzed; finally, corrective measures are taken and schedules are adjusted to achieve the subjective of project progress dynamic control.The DSS of offshore equipment project progress early-warning is designed. The project progress early-warning decision support system (DSS) is software for offshore equipment project progress monitoring and early-warning. The needs of DSS are analyzed; both management structure and technical architecture are overall designed; the prototype of DSS is designed and developed, and operating results of prototype is also introduced.The DSS knowledge management of offshore equipment project progress early-warning is studied. Knowledge management is an important part of progress early-warning DSS. According to the barrier analysis, OCPT mode of knowledge management in progress early-warning DSS is studied from four levels of the organizational structure, corporate culture, project management, technology; the knowledge management capacity of DSS is evaluated, using the fuzzy comprehensive evaluation method.Through study of progress monitoring mode and early-warning DSS of offshore equipment projects, not only MWC monitoring mode and other theoretical models is proposed, but also the process of progress monitoring and control is divided into three stages of monitoring, early-warning and control, where the deviation and exception of progress values and KPI values is monitored, early-warned and dynamic controlled. Besides, the DSS overall design and its knowledge management are studied, providing guidance and reference for the information and Intelligent of project progress monitoring and control.