Browsing by Author "Hsu, Chang-Fu"

Now showing 1 - 4 of 4

A green supplier selection model for high-tech industry
(2009-05-01)
Lee, Amy H. I.
;
Kang, He-Yau
;
Hsu, Chang-Fu
;
Hung, Hsiao-Chu
;
工業工程與管理學系
With growing worldwide awareness of environmental protection, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer in the long term. A performance evaluation system for green suppliers thus is necessary to determine the suitability of suppliers to cooperate with the firm. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. Therefore, in this study, a model for evaluating green suppliers is proposed. The Delphi method is applied first to differentiate the criteria for evaluating traditional suppliers and green suppliers. A hierarchy is constructed next to help evaluate the importance of the selected criteria and the performance of green suppliers. Since experts may not identify the importance of factors clearly, the results of questionnaires may be biased. To consider the vagueness of experts' opinions, the fuzzy extended analytic hierarchy process is exploited. With the proposed model, manufacturers can have a better understanding of the capabilities that a green Supplier must possess and can evaluate and select the most suitable green supplier for cooperation. (C) 2008 Elsevier Ltd. All rights reserved.
A Systematic Evaluation Model for Solar Cell Technologies
(2014)
Hsu, Chang-Fu
;
Li, Rong-Kwei
;
Kang, He-Yau
;
Lee, Amy H. I.
;
工業工程與管理學系
Fossil fuels, including coal, petroleum, natural gas, and nuclear energy, are the primary electricity sources currently. However, with depletion of fossil fuels, global warming, nuclear crisis, and increasing environmental consciousness, the demand for renewable energy resources has skyrocketed. Solar energy is one of the most popular renewable energy resources for meeting global energy demands. Even though there are abundant studies on various solar technology developments, there is a lack of studies on solar technology evaluation and selection. Therefore, this research develops a model using interpretive structural modeling (ISM), benefits, opportunities, costs, and risks concept (BOCR), and fuzzy analytic network process (FANP) to aggregate experts' opinions in evaluating current available solar cell technology. A case study in a photovoltaics (PV) firm is used to examine the practicality of the proposed model in selecting the most suitable technology for the firm in manufacturing new products.
An Integrated Purchase and Production Model for Solar Manufacturing
(2013)
Li, Rong-Kwei
;
Hsu, Chang-Fu
;
Kang, He-Yau
;
Lee, Amy H. I.
;
工業工程與管理學系
How to improve competitive edges to meet rapidly changing technological innovations and dynamic customer needs is crucial for the survival and success of firms under a global competitive market. Many firms realize that a good supply chain management is a necessity in the intensive competitive international market. In consequence, it is important for a firm to provide products with a lower cost and good quality at the right time and place to maintain a competitive edge. In this paper, a joint replenishment model for multiple suppliers is developed using a mixed integer programming (MIP) to determine the optimal replenishment time and quantity. The model aims to solve the shortcomings of existing joint replenishment models and to increase the performance and customer satisfaction of the replenishment system. The proposed model is applied in a solar cell manufacturer to maintain a good integrated purchase and production plan.
Controlling contaminants with enhanced gas leak detection
(2007-07-01)
Li, Shou-Nan
;
Leu, Gen-Hou
;
Yen, Shaw-Yi
;
Chiou, Shin-Fu
;
Yu, Sheng-Jen
In semiconductor and optoelectronics manufacturing, many hazardous gases are used. Quickly finding-and terminating the source of such airborne molecular contaminants (AMC) are essential for the safety and well-being of employees, the general public, and fab operations. One challenge when trying to quickly resolve a hazardous gas leak is being able to detect concentrations that are below the typical permissible exposure limits of open-area gas sensors. To address the problem of detecting very low concentration levels (1 similar to 10ppb), a gas leak detection system (GLDS) was developed and on-site teste in 8 '' and 12 '' fabs. The results demonstrated its effectiveness to immediately locate the source of the leak and thus reduce potential fab losses.