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PERT Based Intelligent Drawing And Engineering Optimization For Large-scale Engineering Event

Posted on:2015-02-07Degree:DoctorType:Dissertation
Country:ChinaCandidate:S F LiFull Text:PDF
GTID:1222330470480527Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Engineering project management includes period control, quality control, cost control, contract management, security management and coordination, etc.; all these factors are closely related to the project plan. Hence, the project plan and its optimization through the entire project play an important role in the outcome of the engineering work. Previously, with the benefits of visualization, simplicity, easy-drawing and understandability, the horizon road network planning method has been applied in numerous small-scale projects. Nevertheless, considering the large-scale project by this method, it is insufficient to present the logical relationship between subsections and indirect to improve and modify the yearly, quarterly and monthly project plan. The conventional horizon road network planning method has the obvious limitation.Network planning technology, represented by CriticalPath Method (CPM) and Program Evaluation and Review Technique (PERT), is a worldwide recognized planning management method. It calculates the network plan to present the entire project. The crucial and most complex problem of network planning technology is the drawing of network planning diagram and the optimized scheduling for network planning, which determines the management efficiency and project profits. Using the network planning technique, project managers can obviously identify the crucial and non-crucial work in the project, and provide information for decision makers to realize the idea of "obtaining the construction period from the critical path, gathering the resource form the non-critical path."The crucial and most complex problem of network planning technology is the drawing of network planning diagram and the optimized scheduling for network planning, which determines the management efficiency and project profits.Nevertheless, in the long-term practical applications, the implementation of network planning technology is insufficient. Only a single network diagram exists through the entire project procedure and rarely elevates. It also lacks of diagram optimization and network plans which allow the guidance of engineering work. Particularly, many one-sided applications prevent the inherent features of network planning technology.In view of technology and management, the main reasons are included in the following three aspects in view of technology and management:Firstly, when coming across large scale and complex projects, due to the network diagram uncertainty caused by the random network planning graphics, as well as integrated thinking limitations of the human features; it is difficult to comprehensively and clearly present the order for all project sections. It could also lead to "arachnoid structures", challenging to modify and apply. The advantage of network planning technology includes the flexibility of improvement. The efficiency of network diagram drawing has become one of the main restrictions for network planning applications.Secondly, an initial plan before implementation should be optimized to balance the period, costs, and resources, in order achieve maximum revenue with minimum resource consumption. According to the practical situation of the project, it is necessary to construct the optimized model, and undertake numerical calculation for overall arrangement of projects as well as annual, quarterly and monthly plans. It is very challenging for many domestic enterprises.Thirdly, network planning technology is not only a planning method, but also a scientific engineering management technique. But currently most domestic enterprises remain in the planning part, lacking of the monitoring and modification management techniques due to the restriction of the applied research.So, it is essential to employ the advantage of computing calculation and avoid the drawbacks of human natures, compute the raw data of the project for effective management, network mapping and network planning optimization and integration. It will provide an integrated network planning technique platform asa foolproof kit, alter the unfavorable status in many engineering applications, and meet demands of network planning technology implementation in enterprises.Based on a large coal mine project as a case study, the thesis proposes the numerical algorithm and software programing for the network diagram automatic drawing, to solve the network diagram graphical rendering and uncertainty, caused by the random network diagram structure. To meet the demands for large coal mine engineering, research work in the thesis builds an optimized network model and computes the numerical solution, providing information for decision making.The research work undertakes the 5 years practical implementation at No. two and No. four mining area in the PMW coal mine. Results show that:the automatic intelligence drawing could replace the hand-drawing, modeling optimization could substitute the subjective decision making, database management could swap the manual management. This technique has achieved noticeable social and economic benefits, also providing an approach for the transplant of successfulnetwork planning diagram between enterprises.Innovations in the thesis are included as follows:(1) Different from the literatures, network diagrams employ the adjacent table storage technique. Based on the discussion about the bi-code network diagram drawing method, network time parameters calculation and network diagram storage structure, the research work proposes a four essential algorithm including network mapping, numbering, point meeting and stationing. By using B/S (browser/Server) mode and Stripes framework on the Eclipse development platform, as well as some software toolkits such as Java, CSS, HTM, Javascript and Ajax, the automatic drawing of network planning diagram is achieved. It is proved that the system could automatically recognize the routes and complete the diagraming process. The practical engineering has verified the accuracy and efficiency of this technique.(2) Based on a detailed investigation of the mine construction project, this work considers the "multiple operation points" issues, as well as construction management and decision making problems, the research work in the thesis proposes three optimization models:the shortest period optimization model, the shortest period optimization model under funding constraints, the net present value maximization model considering the time value. The practical engineering has verified the feasibility and capability of this technique.(3) To improve the functionality of the previous work, this work employs the MVC model and Eclipse programing, business processes, data flow analysis, the proposed integration of the integrated application solutions to achieve the basic data management, network diagrams automatic drawing, network planning optimization, query the progress of works control and other functions. It is able to feedback, control, analyze and precast the engineering process efficiently.The thesis are includes six chapters.Chapter 1 Introduction. It introduces the origination,objective and importance of the thesis, presents the literature review, research methods, techniques and the novelty.Chapter 2 Implementation complexity of the network planning method. Considering the large-scale coal mine project, it discusses the project features, project management content, engineering procedure, and the types of the network planning diagram. Based on the diagram parametercalculation, data communication, structure random and network change, it analyses the implementation complexity of the network planning method.Chapter 3 Network diagram bi-code auto drawing. The initial process in the engineering application of the network planning method is to draw the network diagram. But the implementation complexity discussed in Chapter 2 could also lead to "arachnoid structures", challenging to modify and apply. In this chapter, the bi-code network diagram auto drawing technique is realized by computer systems, emphasizing the storage configuration, network mapping, numbering, point meeting and stationing, core algorithm and programing methods. Its efficiency and operability is verified by a practical case study.Chapter 4 Optimization of the mine engineering network plan. Based on a detailed investigation of the mine construction project, this chapter considers the "multiple operation points" issues, as well as construction management and decision making problems, the research work in the chapter proposes three optimization models and numerically calculate the modeling results by computer systems. The practical engineering has verified the feasibility and capability of this technique.Chapter 5 Integration of system application research. In this chapter, it proposes the Eclipse-based system integration approach for the network planning technique, to solve the network diagram graphical rendering and uncertainty, caused by the random network diagram structure. It provides an combined platform for practical utilization and shows the capacity to feedback, control, analyze and precast the engineering process efficiently.Chapter 6 Revenue analysis of the mine engineering. It briefs the operation status of the PMW coal mine project. The integrated network planning platform is applied to the PMW construction project, achieving the project improvement. The direct economic benefit exists in the reduction of construction period and loan interest; the subsidiaryeconomic benefits refer to the profits of client, project, enterprise and the public.Chapter 7 Conclusion and future work. It summarizes the accomplishment and an innovation of the research work, and proposes the concept of future study.
Keywords/Search Tags:coal mine engineering, network diagram intelligent drawing, stack architecture and ergodic property, Integration development
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