Profitability and Marketability of the Top 55 U.S. Commercial Banks
Management Science - Special issue on the performance of financial Institutions
Group sequencing a PCB assembly system via an expected sequence dependent setup heuristic
Computers and Industrial Engineering
A case-based reasoning system for PCB principal process parameter identification
Expert Systems with Applications: An International Journal
Manufacturing an environmentally friendly PCB using existing industrial processes and equipment
Robotics and Computer-Integrated Manufacturing
Design of a PCB plant with expert system and simulation approach
Expert Systems with Applications: An International Journal
A case-based reasoning system for PCB defect prediction
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Scale and cost efficiency analysis of networks of processes
Expert Systems with Applications: An International Journal
Using grey relation analysis and TOPSIS to measure PCB manufacturing firms efficiency in Taiwan
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Hi-index | 12.05 |
Taiwan is currently the fourth largest contributor to the printed circuit board (PCB) industry. In exploring the operation activities of PCB industry, most studies focuses primarily on manufacturing or production technologies. In this paper, we evaluate the performance of PCB manufacturing firms in Taiwan. Since the whole production process of the manufacturing firms can be divided into two sub-processes: production acquisition and profit earning, this study employs the relational two-stage DEA approach, which takes into account the series relationship of the two sub-processes within the whole process, to decompose and measure the efficiencies of the manufacturing firms. It is found that none of the manufacturing firms perform efficiently both in the stage of production acquisition and the stage of profit earning. In addition, the low efficiency score of the whole production process is mainly due to the low efficiency score of the profit generating process. To improve productivity and profitability, the manufacturing firms need to consider the issues of product improvements and technological innovation in the future.