Simulation Based Decision Support System for Routing Selection

• Main Authors: Chen Chun-Ting, 陳俊廷
• Other Authors: Yung-Hsin Wang
• Format: Others
• Language: en_US
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/06901343059827803592

碩士 === 大同大學 === 資訊經營學系(所) === 92 === The method chosen for determining the "best" route selection has a great effect both upon theoretical rules and the real problems we meet in our business life. When it comes to theoretical research, a good routing selection algorithm can not only trim costs and raise the efficiency of the system, but also reduce the waste of system resources. Making a correct routing selection decision could help us deal properly with the routing problems such as that for the delivery service or machine arrangement in the factory. On the other hand, simulation methods are often used to solve complex system problems that cannot be solved by applying simple rules of mathematics. Problems with multiple variables, particularly those that are inherently random, can often be solved only by the simulation method. The objective of this thesis is to build a Simulation Based Decision Support System (SBDSS) to improve the quality of routing selection decisions. In order to raise the quality and performance of decision-making, simulation is used to assist the traditional decision support system and support the traditional rule base to create a more flexible decision support tool. In other words, using simulation method as the kernel of our decision support system has benefit of replacing the fixed decision rules and getting more meaningful decision suggestion. This research also uses a real case of a travel agency as the experimental model to verify the system’s performance. Simulation results show that our SBDSS architecture is effective and valuable.