1、 - 1 - 1* 2 3 3Chun-hsiung Lan Meng-shuang Lee Tzu-kuan Chia Li-tan Chou 1 ( * e-mail chlanmail.nhu.edu.tw) Department of Business Administration, Nanhua University 2 Department of Information Management, Nankai College 3 Department of Industrial Management, Tungnan Institute of Technology Abstract
2、This study is to construct a cost function with the considerations of MRT tire cost and loss cost while the tire explosion happens. In addition, the case study is proposed to describe the applicability of this work. Moreover, the dynamic computerized decision tool is developed for easily reaching th
3、e optimal solution. This study not only provides a decision criteria and reference for MRT firm to determine the running - 2 - limitation of the MRT tires, but also offers a dynamic computerized decision tool for quick reaching the optimal cost in MRT firm to execute the cost management. Keyword cos
4、t function decision tool sensitivity analysis cost management. 84 3 10 5 15 85 3 28 89,300 Translog 劵 - 3 - ( 2000) ( 2002) ( 2001) ( 2002) - 4 - ( 2001) (ANSYS) ( 1999) ( 1997) - 5 - n H L n LH ( ) h b c T h bcT ( ) p g a 2 agp 2 ( ) (11bar,160psi) E ( ) ( ) - 6 - d m a acmd ( ) W ( ) + + + + W acm
5、d E agp h bcT 2 (1 ) (1) Q + + + + = W acmd E agp h bcT Q 2 A B A A B A C n C Q Q C n A B n n LH n ( n ) - 7 - () n Q n B n F LH C A + = F(n) 3 2 2 2 ) ( n LH dn n F d = 0 2 3 n LH 2 ) ( 0 n LH Q AC B dn n dF = = (2 ) (2) 2 n BQ ACLH = BQ ACLH n = (3 ) (3) n BQ ACLH (3) A B n C L H - 8 - n (3) Q n 1
6、 1. A B Q C L H n - - + + + - + 98,452 50,000 8 10,000 29,200,000 ( ) 6 12 18 89,300 30 ( 2) 2.156 - 9 - = 156 . 2 30 18 300 , 89 320,884.66 ( ) 100 98 9 (18 ) ( ) 1,764 18 98 100 1,764 =176,400 ( ) (2) 590.8 ( ) 2.156 2. 5 ( ) ( ) 1 1 2 1 1 1 1 ( ) 47 280 30 200 18 15 78 668 3.083 1 1 0 1 1 1 0 ( )
7、 47 280 0 200 18 15 0 560 1.6 1 1 2 0 1 1 0 ( ) 47 280 30 0 18 15 0 390 2.017 1 1 2 1 1 1 1 ( ) 47 280 30 200 18 15 78 668 2.516 1 1 2 1 1 1 1 ( ) 47 280 30 200 18 15 78 668 1.566 ( ) 47 280 48 160 18 15 46.8 590.8 2.156 - 10 - ( ) 5 10 3 (3) 10.4 3. 10 6 5 8 8 7.4 3 3 3 3 3 3 13 9 8 11 11 10.4 400
8、51 89,300 30 7.84 (400 /51 ) 98 239715.84 (98 30 7.84 10.4 ) ( ) 15 40,000 1333.33 (40,000 /30 ) (40,000 /30 )15 10.4 = 208,000 (3) n = 129,536.84 - 11 - 129,536.84 1 1. ( ) Microsoft Excel 7 2 3 8 4 14 5 20 6 26 10 7 8 . 1049 0083 . 0 10 3 10 6 10 6 10 2 ) ( + + + = n n n n n n n F n ) (n F 2 * n -
9、 12 - F (n ) = 210 -26 n 6- 610 -20 n 5+ 610 -14 n 4- 310 -8 n 3+ 0.0083n 2- 1049.8n + 710 7 10,000,000 16,000,000 22,000,000 28,000,000 34,000,000 40,000,000 46,000,000 52,000,000 58,000,000 64,000,000 70,000,000 0 60000 120000 180000 240000 300000 360000 420000 480000 540000 600000 660000 720000 780000 2. ( ) - ( ) ( ) - 13 - (1) 2000 -Translog (2) 2002 (3) 2001 - (4) 1999 (5) 2000 (6) 2002 (7) 2001 (8) 1999 (9) 1997
