Study of A Decision Information System for Optimal Service Regions
碩士 === 華梵大學 === 工業管理學系碩士班 === 90 === This research proposes a new approach to decide the optimal service region for each service center in some existed chain enterprises. The major considerations are geometric distance and density of population. The system expects to enhance the working efficiency...
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ndltd-TW-090HCHT00410182015-10-13T17:39:44Z http://ndltd.ncl.edu.tw/handle/47303433534467072366 Study of A Decision Information System for Optimal Service Regions 最適服務區域決策資訊系統之研究 Chao Shang-Che 趙尚哲 碩士 華梵大學 工業管理學系碩士班 90 This research proposes a new approach to decide the optimal service region for each service center in some existed chain enterprises. The major considerations are geometric distance and density of population. The system expects to enhance the working efficiency of each service center and increase the competition of entire enterprise. VORONOI Diagram will be applied to decide the optimal service region of each service center based on the geometric distance. Then, the service regions will be re-adjusted by Self Organization Map approach, based on the density of population. In the simulation stage, different types of distribution for population density will be analyzed in order that the appropriate application area will be suggested. Simulation results also show the performance of proposed hybrid algorithm is better than the shortest path or other point locations algorithms. Moreover, the proposed method also has high performance in balancing the working loading of service centers. Jin-Ling Lin 林金玲 2002 學位論文 ; thesis 0 zh-TW |
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碩士 === 華梵大學 === 工業管理學系碩士班 === 90 === This research proposes a new approach to decide the optimal service region for each service center in some existed chain enterprises. The major considerations are geometric distance and density of population. The system expects to enhance the working efficiency of each service center and increase the competition of entire enterprise.
VORONOI Diagram will be applied to decide the optimal service region of each service center based on the geometric distance. Then, the service regions will be re-adjusted by Self Organization Map approach, based on the density of population.
In the simulation stage, different types of distribution for population density will be analyzed in order that the appropriate application area will be suggested. Simulation results also show the performance of proposed hybrid algorithm is better than the shortest path or other point locations algorithms. Moreover, the proposed method also has high performance in balancing the working loading of service centers.
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Jin-Ling Lin |
author_facet |
Jin-Ling Lin Chao Shang-Che 趙尚哲 |
author |
Chao Shang-Che 趙尚哲 |
spellingShingle |
Chao Shang-Che 趙尚哲 Study of A Decision Information System for Optimal Service Regions |
author_sort |
Chao Shang-Che |
title |
Study of A Decision Information System for Optimal Service Regions |
title_short |
Study of A Decision Information System for Optimal Service Regions |
title_full |
Study of A Decision Information System for Optimal Service Regions |
title_fullStr |
Study of A Decision Information System for Optimal Service Regions |
title_full_unstemmed |
Study of A Decision Information System for Optimal Service Regions |
title_sort |
study of a decision information system for optimal service regions |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/47303433534467072366 |
work_keys_str_mv |
AT chaoshangche studyofadecisioninformationsystemforoptimalserviceregions AT zhàoshàngzhé studyofadecisioninformationsystemforoptimalserviceregions AT chaoshangche zuìshìfúwùqūyùjuécèzīxùnxìtǒngzhīyánjiū AT zhàoshàngzhé zuìshìfúwùqūyùjuécèzīxùnxìtǒngzhīyánjiū |
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