| Summary: | 碩士 === 南華大學 === 企業管理系管理科學碩博士班 === 97 === The research primarily focuses on the discussion about various conditions of a project that may face. Most of the projects are not duplicable. Therefore, due to its lack of historical duration data of workstations, the estimated schedule of the whole project has never been accurate. As a result, it causes an impact on a project manager controlling and planning the project, which results in wasting resources and increasing costs. Moreover, this project will become an obstacle to the developing corporation as a whole. With the uncertainty of the durations of workstation project, a better way of solving the issue of how to estimate a time when a project can be finished based on the durations of different workstation projects is proposed in this research. An Integer Nonlinear Programming (INPL) mathematical model is introduced to analyze the time.cost trade.off and then find the most feasible schedule of a crashing project.
In addition, the research adopts Program Evaluation Review Technique(PRET) along with Critical Path Method (CPM) to evaluate the situations that a project encounters. In order to make the simulation close to the reality, not only the uncertainty of the duration of workstations is considered, but also the limitations in the crashing project are taken into account. These criteria then are turned into mathematical equations. Therefore, the result generated from the calculation is able to meet the given requirements. Moreover, the research uses Lingo 9.0 extended version language to construct nonlinear project crashing model. By using the Global Solver built in the Lingo 9.0 application, the best global solution for the project can be solved. In other words, with this model, the cost of a crashing project can be more accurately estimated even with insufficient historical data. Overall, the research can be considered as an assistant tool for decision making. According to the different scenario that a project is in, only a few simple modifications on this model are needed to be made. After that, it can help the corporation determine the most suitable solution within no time.
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