Research And Implementation On Complex Project Planning And Scheduling Optimization Methods

In the age of economic globalization, more and more economic activity is in theform of project implementation, and, through the project management methods on acertain project, the project management of various resources (people, equipment, etc.)with effective organization and control the implementation of project cost, finishes it in acertain time. Therefore, project management has a wide range of applications, such asshipbuilding, aerospace, software development, power station complete sets of equipmentmanufacturing, construction engineering, and many other areas of the management mode.Because of the project planning and scheduling is the core of project management, theproject is to create a specific results with do one-time task, so the project in each activityduration usually is a estimated value, the project will use a variety of resources availabletime is estimated value, and is uncertain too. In the actual project execution process oftento consider multiple performance indicators, such as project completion time, the activityslack time and so on, and the targets is often conflicting. It is difficult to evaluate amulti-objective optimal value, so to overall balance multiple targets, and gives a moreoptimal result for policymakers to choose.Project plan is usually use network planning method, in view of the fuzziness of theactivity duration. This paper gives the fuzzy network diagram parameter calculationmethod.For the actual problems faced in the cycle of activity is uncertain, the resourcesavailable time uncertainty, and many other variable factors, according to the theory offuzzy mathematics, using fuzzy triangular fuzzy number define the fuzzy duration, anduse the trapezoidal membership function define the fuzzy resources, establish the projectdefinition of fuzzy scheduling model, and separately using genetic algorithm and geneticsimulated annealing algorithm to the project of the single target scheduling, and the twokinds of algorithms are compared.In the project is widespread in the multi-objective problem, Using genetic algorithm and Pareto optimal concept with each other, it is concluded that Pareto multi-objectivefuzzy genetic scheduling algorithm. And compared with the traditional multi-objectivescheduling algorithm are analyzed, which reflects the algorithm has the prepotency.Finally through the concrete example application verification, demonstrates that theproposed algorithm engineering feasibility.