Activity and value orientated decision support for the development planning of a theme park

被引:13
作者
Dzeng, Ren-Jye [1 ]
Lee, Hsin-Yun [1 ]
机构
[1] Natl Chiao Tung Univ, Dept Civil Engn, Hsinchu 30050, Taiwan
关键词
theme park; development plan; genetic algorithms; simulation;
D O I
10.1016/j.eswa.2006.08.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The development of a large theme park usually includes multiple phases. The combination and development ordering of facilities in these phases have a great impact on the attractiveness of the theme park. Examples of such facilities are attractions, food service, accommodation, and supporting facilities. Some of these facilities although highly profitable, cannot attract visitors on their own, while others may boost the visitor count, yet by themselves do not make a profit. This research considers the values that each development activity brings to the project, and prioritizes feasible alternatives based on their net present values. Based on the integration of simulation and the genetic algorithm, a decision support system has been developed to determine the combination and ordering of facilities, and the resources needed for each development step. This development plan will provide investors with systematic and quantitative information that will help them to determine the development portfolio of each facility under the constraint of the funding program. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:923 / 935
页数:13
相关论文
共 15 条
[1]  
*6 FLAGS CO, 2005, 2004 ANN REP, P24
[2]   An effective simulation mechanism for construction operations [J].
Cheng, TM ;
Feng, CW .
AUTOMATION IN CONSTRUCTION, 2003, 12 (03) :227-244
[3]  
COLLINGWOOD E, 1996, P INT C EV COMP
[4]  
FALKENAUER E, 1999, GENETIC ALGORITHMS G, P45
[5]   Project portfolio selection through decision support [J].
Ghasemzadeh, F ;
Archer, NP .
DECISION SUPPORT SYSTEMS, 2000, 29 (01) :73-88
[6]  
HALPIN DW, 1974, P 2 INT C SYST INF M, P15
[7]  
HOLLAND JH, 1975, ADAPTATION NATURAL A
[8]  
HSIEH TY, 1997, J INFRASTRUCT SYST, V3, P134, DOI DOI 10.1061/(ASCE)1076-0342(1997)3:4(134)
[9]   GA-based resource-constrained flow-shop scheduling model for mixed precast production [J].
Leu, SS ;
Hwang, ST .
AUTOMATION IN CONSTRUCTION, 2002, 11 (04) :439-452
[10]  
MARTINEZ JC, 1996, THESIS U MICHIGAN AN