Over the past decades, the development of Taiwan semiconductor industry has been based on the list of scientific and technological power. Early in this process, the required technologies, machines and equipments, most of them rely on the introduction of domestic agents. However, with changes in the industry, market size has become larger, many new agents set up new company to compete authorities of new products agency. Case company is also a trend to follow the ensuing wave of growth, and introduce many IC packaging and testing equipments to many customers throughout all of Taiwan's packaging and testing companies. On IC inspection and handler machines, case company win more than ninety percent market share. With the entire package and testing market maturity, as well as many competitors to join, resulting in agential commission income decreased. At the national policy, the government started to encourage domestic manufacturers to develop and produce equipment to enhance industrial competitiveness. In order to meet the market demand, case company used the original equipment to be modified and carried out the development of new machine. The entire project lasted for two years, although the final outcome did not succeed, but the course of events revealed some clues. It is worth follow-up reference. In this study, a tool for organizational learning - learning history is used for the entire research and analysis. The results of this study found many key factors of R&D development on semiconductor back end automation equipment agent. 1. Agents to develop R&D are among the first to face two different types of business. 2. Agents that attach more importance to short-term interests. 3. The main work culture of agents- business-oriented. 4. The active involvement of executives. 5. The work style of agents is partial bottom-up and form small groups. 6. The rule of man's management style. 7. Emphasis on avoiding conflict and cultural harmony. These key factors are usually associated with the company's culture and management model. In order to develop R&D, agents need to clarify these fundamental issues and a consensus. Looking forward to the results of this study can be helpful for agents of Taiwan semiconductor back end automation equipment.

The automated testing of internal combustion engines is a field of considerable importance. This thesis describes a novel area in the form of dynamic testing. The investigation represents an original approach to the problem with which the author believes he has developed a new concept in engine testing. The resulting information, combined with an appreciation of the latest developments in automation equipment technology, has lead to a review of the requirements of a generalised engine test system together with an outline of the way in which it could be implemented. The automated engine test beds used during the work are described. The conventional methods of testing internal combustion engines are reviewed and a generalised approach to automating them proposed. This then leads to the suggestion of a new method using dynamic testing techniques specially evolved in the course of the work. On the basis of this the implementation of a dynamic full-load power curve as a replacement for its steady state equivalent was pursued. The second major use of dynamic techniques is for exhaust emission cycles. Both dynamic (USEPA Smoke Cycle) and steady-state (USEPA 13 Mode Cycle) cycles were performed. In the case of the former, outer digital loop techniques were used to improve control response. In performing the above work, use was made of both analog and digital simulation techniques for development purposes. This work was also extended by the development of a simulation of a material handling system to enable the control and optimisation of a production test facility to be studied. The testing methods associated with automated fault diagnosis are also analysed. On the basis of the above work an engine test system task analysis was generated and this new concept used to plan a microprocessor based engine test automation scheme.

This research identifies the attributes to be considered in the selection of an automated guided vehicle (AGV). A distinction is made between automated guided vehicles (AGVs) and an automated guided vehicle system (AGVS). This research is concerned only with the selection of automated guided vehicles (AGVs). A selection model is developed which forces the user to evaluate attributes. his requirements and preferences for AGV The first step of the model allows the user to enter his specifications for AGV attributes which are applicable to his production environment. The second step in the selection model is for the user to determine 8-15 attributes to use as selection criteria. In the third phase, the user inputs his preferences and priorities with respect to the attributes chosen as selection criteria in the second step. model ranks the Based on this information, the selection AGV models in the feasible set. A description of the model and a numerical example are included. Steps 1 and 2, described above, are implemented using an R:BASE™ program. The BASIC computer language was used to perform the interrogation of the user with respect to his priorities and preferences among attributes in Step 3. The IBM PC™ is the hardware chosen for running the selection model. / M.S.