Showing papers by "Yao Chen published in 2003"
TL;DR: In this article, the authors extended the Malmquist productivity index into a non-radial index where the decision maker's preference over performance improvement can be incorporated, which eliminates possible inefficiency represented by the non-zero slacks.
125 citations
TL;DR: In this article, the growth morphology of TiC solidified at a cooling rate of 1.0×10 2 K/s is found to be dendritic, having a platelet/catenulate growth characteristic on dendrite arms.
54 citations
TL;DR: This paper develops an approach to identify the critical measures for each DMU using a set of modified DEA models and confirms that high revenue does not necessarily mean profit for e-corporations while revenue means a stable proportion of profit for the Fortune's 1000 companies.
Abstract: In performance evaluation, it is important to identify both the efficient frontier and the critical measures. Data envelopment analysis (DEA) has been proven an effective tool for estimating the efficient frontiers, and the optimized DEA weights may be used to identify the critical measures. However, due to multiple DEA optimal weights, a unique set of critical measures may not be obtained for each decision making unit (DMU). Based upon a set of modified DEA models, this paper develops an approach to identify the critical measures for each DMU. Using a set of four Fortune's standard performance measures, capital market value, profit, revenue and number of employees, we perform a performance comparison between the Fortune's e-corporations and 1000 traditional companies. Profit is identified as the critical measure to the performance of e-corporations while revenue the critical measure to the Fortune's 1000 companies. This finding confirms that high revenue does not necessarily mean profit for e-corporations while revenue means a stable proportion of profit for the Fortune's 1000 companies.
27 citations
TL;DR: In this paper, an alternative approach to eliminate the non-zero DEA slacks while keeping the original DEA frontier unchanged is presented. But the approach is limited to the case of data envelopment analysis (DEA).
13 citations
01 Jan 2003
TL;DR: The newly proposed method can deal with the situation when FDEFs do not exist and may deem those extreme efficient DMUs which are not located on any FDEF as inefficient.
Abstract: Constrained facet analysis is used to evaluate decision making units (DMUs) which have non-zero slacks in data envelopment analysis (DEA) by requiring a full dimensional efficient facet (FDEF). The current paper shows that the FDEF-based approach may deem those extreme efficient DMUs which are not located on any FDEF as inefficient. Using strong complementary slackness condition (SCSC) solutions, this paper develops an alternative method for the treatment of non-zero slack values in DEA. The newly proposed method can deal with the situation when FDEFs do not exist.
1 citations
01 Jan 2003
TL;DR: In this article, the authors show that the scale and congestion depend on the different technology assumption, and that the congestion is associated with the non-zero slack values, while the scale component depends on the input disposability and returns to scale (RTS) assumptions, respectively.
Abstract: DEA inefficiency can be characterized by scale and congestion components. We show that the scale and congestion depend on the different technology assumption. The scale component and congestion component depend on the input disposability and returns to scale (RTS) assumptions, respectively. It is also shown that the congestion is associated with the non-zero slack values.