The global business is facing the intensive competitive environment. To overcome the competition, most enterprises contentiously try different information systems to strengthen their competition and to extent their businesses. In order to execute the enterprises marketing strategies effectively, business organization applies various software from in-house development to standard package software either made in Taiwan or made in nations. However, while implementing the information system into specific project, this software caused many obstructions in both project time framing design and project cost control. To exam this problem, we found there is no appropriate requirement and package software or tool to manage the system gaps analysis. The main purpose of this thesis is to solve the present package software problem and develop a method to meet the enterprise needs in system difference analysis. We use the Unified Module Language (UML), use case diagram, drawing , activity diagram, use case description and decision table to complete the difference analysis between package software and specific project. Applying this method, the user not only can control the difference between the requirement system and object system precisely, but also build a communication channel among the users, system analysis, and programmers. In addition, the method provides a trend of customized system to succeed the project on line

Construction productivity improvement is a key concern for construction companies and the industry. Productivity in construction is a complex issue because: (1) it is influenced by multiple factors interactively; and (2) it is measured in different forms and at different levels of detail for different purposes. This objective of this research is to develop an internal Benchmarking and Metrics (BM&M) model for industrial construction enterprises to help them understand and implement mechanisms for continuously improving construction productivity. Processes are developed in the model for: 1. Measuring and reporting craft labour productivity performance in a consistent form for the purposes of internal benchmarking and comparison with a selected third-party benchmark, 2. Examining productivity influencing factors in two categories with respect to construction environment factors and construction practices implementation, 3. Establishing a productivity performance evaluation model to understand the mechanisms by which the environment factors and construction practices impact construction productivity, and 4. Conducting strategic gaps analysis of construction practices implementation within a company aimed at achieving “best in class” and continuous improvement. System functions in the model are validated through functional demonstration by applying statistical analysis on data collected by the designed benchmarking process and metrics from an industrial construction company. It is concluded that the model developed can be effectively used to understand the impact of practices implementation levels on construction productivity.