On Error Estimation for Reduced-order Modeling of Linear Non-parametric and Parametric Systems

Motivated by a recently proposed error estimator for the transfer function of the reduced-order model of a given linear dynamical system, we further develop more theoretical results in this work. Furthermore, we propose several variants of the error estimator, and compare those variants with the existing ones both theoretically and numerically. It has been shown that some of the proposed error estimators perform better than or equally well as the existing ones. All the error estimators considered can be easily extended to estimate output error of reduced-order modeling for steady linear parametric systems.Comment: 34 pages, 12 figure

Joint Venture Manufacturing in China : an Exploratory Investigation

International joint venture (IJV) manufacturing is important for both the Chinese economy and a large number of foreign investors. A review of the literature from both Western and Chinese researchers showed that although the purpose and advantages of IJV manufacturing in China are known, a vital aspect – operations management – has largely been ignored. Therefore, exploratory interviews with managers at six companies were conducted to investigate the operations management issues faced by IJV manufacturers in China. Four main problems were identified: the difficulty with recruiting and training suitable employees; all aspects of supplier management; problems with achieving high- quality output; and achieving an effective IJV business culture. The results have implications not only for researchers, in that they indicate where more research is necessary, but also for practitioners, since they identify the areas where IJV manufacturers are most likely to encounter problems in C