Graduate Institute of Management
Graduate Institute of Management
Shen C.-W.,National Central University |
Cheng M.J.,Graduate Institute of Management |
Chen C.-W.,National Kaohsiung Marine University |
Tsai F.-M.,National Kaohsiung First University of Science and Technology |
Cheng Y.-C.,Advanced Semiconductor Engineering Inc.
International Journal of Innovative Computing, Information and Control | Year: 2011
Because the lithography process accounts for almost half of semiconductor manufacturing cycle time, a reliable and easy-to-implement fault diagnosis for this process is critical to productivity and profitability. Accordingly, this study proposes the approach of fuzzy analytic hierarchy process (FAHP) for the ambiguous fault evaluations of lithography process. The application of FAHP has several advantages over conventional approaches because it's able to quantify the managerial causes of lithography faults and to homogenize the differences among the subjective judgments of on-site engineers. Together with the fuzzy set theory, this study provides a systematic mechanism to construct a hierarchy of FAHP model and a FAHP diagnosis map for the lithography process. The model hierarchy of goal, criteria and indicators can be updated and reviewed periodically in order to cope with the dynamic business environment. Meanwhile, the diagnosis map can summarize the FAHP rating list of fault causes, which is useful for manufacturers to prioritize their improvement plans in order to allocate their limited resources efficiently. Our empirical example also demonstrates the feasibility of the proposed FAHP approach without detailed error reports. Hence, semiconductor manufacturers can refer this study for their decision support of fault diagnosis on the complicated lithography process. ICIC International © 2011.
Chang S.-Y.,Graduate Institute of Management |
Lu H.-P.,NTUST |
Liang C.-J.,Graduate Institute of Finance
International Journal of Innovation Science | Year: 2013
The following teaching case study details an exciting and modern case of an integrated circuit distribution company in Taiwan (the Sunnic Group) as it transitions through several major innovation initiatives creating new products and a new role for itself in the industry while simultaneously fending off market forces, competition, and degrading profits. This case study delivers important lessons about conducting innovation via four major areas. The first area details how market forces, intense competitions, entry barriers, and corporate growth can create situations where innovating on a large scale has strong advantages over the alternatives. The second area shows how theories on innovation and customer value propositions are used to create realistic strategies for new products and feasible plans for organizational change. Topics like knowledge management, creating new capabilities, and key performance indicators are discussed. Next, the actual implementations of several innovation initiatives are explained in dramatic fashion with characters demonstrating resistance to innovation, competitor's reactions, and conflicts of interest; more importantly, it demonstrates how product development strategies can actually play out. This section also captures how transforming an organization can be stressful, leadership intensive, and difficult. Finally, the case reviews the results of the transformation and innovation efforts via the patent and financial results. This case is designed to teach students a mix of theory and practical skills. A lengthy list of questions for students is also provided and a teacher's edition from page 21 onwards of this text contains lecture notes that help in guiding class discussions and aid in creating assignments.
Huang J.Y.,Graduate Institute of Management |
Kao Y.C.,Graduate Institute of Management |
Lu W.C.,NTUST |
Shieh J.C.P.,Graduate Institute of Finance
Applied Engineering Sciences - Proceedings of the AASRI International Conference on Applied Engineering Science, ICAES 2014 | Year: 2015
The main purpose of this paper is to use data mining methods to systematically consolidate and analyze papers in REITs in the past twenty years, and to provide an overall introduction to scholars and professionals in the industry who may be interested in REITs in the future. Our research is based on searching keywords in databases of ISIWeb of Science (WOS).We are committed to finding the number of publications and times cited in the field of REITs to measure the contribution of active researchers. More research papers in REITs are emerging, making it a significant area of study. We have also discovered certain trends of research on the REITs from our results. Unlike a traditional literature review, our research adopts the ISIWeb of Science database as a tool for analysis. This new literature review methodology enables us to systematically consolidate and analyze papers in REITs. © 2015 Taylor & Francis Group, London.
Kuo Y.-S.,Graduate Institute of Management |
Kuo T.-K.,Graduate Institute of Management |
Lu H.-P.,Graduate Institute of Management |
Minshall T.,University of Cambridge
International Journal of Technology Management | Year: 2013
This study proposes a new product development (NPD) model that aims to improve the effectiveness of innovative NPD in the medical devices. By adopting open innovation theory and applying an in-depth investigation methodology, this paper proposes a knowledge cluster that improves the integration of interdisciplinary human resources and enhances the acquirement of innovative technologies. A knowledge cluster approach helps gather, organise, synthesise, and accumulate knowledge in order to become the impetus for innovation. Although enterprises are no longer the principals of research and development, they should still be capable of integrating professional physicians, external groups, and individuals through the knowledge cluster platform. However, in order to support an effective NPD model, enterprises should provide adequate incentives and trust to external individuals or groups willing to contribute their expertise and knowledge to this knowledge cluster platform. Copyright © 2013 Inderscience Enterprises Ltd.