Employ The Most Compromising Weights Analysis to Malmquist productivity index with the development for performance evaluation

• Main Authors: Huang, Shih-Ting, 黃仕婷
• Other Authors: Liu, Fuh-Hwa
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/31371178204595150393

碩士 === 國立交通大學 === 工業工程與管理學系 === 99 === Private and public sectors need to assess units under their governance in consecutive periods. Those units under assessment (UOAs) convert a set of input items to a set of output items by a series of two processes. The intermediate items play two roles at same time that are the output items of the first process and the input items of the second process. Given values of input, intermediate, and output items of each UOA in a given period, we employ the Most Compromised Weights Analysis (MCWA) to determine the common set of weights for the items. Malmquist productivity index analysis method is employed to measure the productivities of every pair of contiguous periods for each individual UOA. The overall productivity index of the two processes is possible to decompose productivity change in Self Competitiveness Shift (SCS) and Group Competitiveness Shift (GCS). SCS and GCS indicate the UOA’s competitiveness and degree of change relative to the group performance. The SCS and GCS could be decomposed into the productivities of the two processes individually. The 14 health care industry’s data in 2006 to 2009 are digested from Fortune 500 as the illustration example.