A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems

碩士 === 國立臺灣海洋大學 === 系統工程暨造船學系 === 93 === Abstract The objective of the two-dimensional optimal nesting problem is to determine the effective usage of the stock plate under different considerations of parts. As known, there still exist some artificial approaches for dealing with the nesting problems...

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Main Authors: Chih-Chien Wang, 王誌謙
Other Authors: Hsin-Chuan Kuo
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/35690002678300972678
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spelling ndltd-TW-093NTOU53450152016-06-01T04:25:06Z http://ndltd.ncl.edu.tw/handle/35690002678300972678 A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems AutoCAD系統於二維排版問題最佳化之研究 Chih-Chien Wang 王誌謙 碩士 國立臺灣海洋大學 系統工程暨造船學系 93 Abstract The objective of the two-dimensional optimal nesting problem is to determine the effective usage of the stock plate under different considerations of parts. As known, there still exist some artificial approaches for dealing with the nesting problems in the industry such that it usually takes much time or it is quite hard to determine the optimal nesting. Therefore, a set of intelligence-based, automatically nesting system is necessary for the industry. In this thesis, based on the AutoCAD platform and Genetic Algorithms (GAs) optimizer, a two-dimensional automatically nesting system is proposed to deal with irregular or hollow-empty typed stock plates or parts. Due to the AutoCAD platform existing in this system, an interface with convenient input and interactions for the user is offered and can further be used to the follow up cuttings after the output. As for the GA, it can improve the shortcomings of the artificial selections and further be used to search for the optimal sequence of parts allocations for enhancing the effectiveness of nesting. For the mechanism of this nesting system, it includes three sections, that is, Section 1: the unit resolution is imposed on the configurations of the stock plate and parts such that their configurations can be enclosed by finite strip elements for effectively allocating parts and improving nesting efficiency; Section 2: the adopted Bottom-Left-Fill algorithm, which is developed by improving the Bottom-Left algorithm, is more suitable for the currently developed nesting system; Section 3: the GA is adopted here for the search of optimal sequences of parts. Several testing examples are provided for validating the proposed nesting system and results show that utility rates are all within the admitted errors. Hsin-Chuan Kuo Jiang-Ren Chang 郭信川 張建仁 2005 學位論文 ; thesis 95 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣海洋大學 === 系統工程暨造船學系 === 93 === Abstract The objective of the two-dimensional optimal nesting problem is to determine the effective usage of the stock plate under different considerations of parts. As known, there still exist some artificial approaches for dealing with the nesting problems in the industry such that it usually takes much time or it is quite hard to determine the optimal nesting. Therefore, a set of intelligence-based, automatically nesting system is necessary for the industry. In this thesis, based on the AutoCAD platform and Genetic Algorithms (GAs) optimizer, a two-dimensional automatically nesting system is proposed to deal with irregular or hollow-empty typed stock plates or parts. Due to the AutoCAD platform existing in this system, an interface with convenient input and interactions for the user is offered and can further be used to the follow up cuttings after the output. As for the GA, it can improve the shortcomings of the artificial selections and further be used to search for the optimal sequence of parts allocations for enhancing the effectiveness of nesting. For the mechanism of this nesting system, it includes three sections, that is, Section 1: the unit resolution is imposed on the configurations of the stock plate and parts such that their configurations can be enclosed by finite strip elements for effectively allocating parts and improving nesting efficiency; Section 2: the adopted Bottom-Left-Fill algorithm, which is developed by improving the Bottom-Left algorithm, is more suitable for the currently developed nesting system; Section 3: the GA is adopted here for the search of optimal sequences of parts. Several testing examples are provided for validating the proposed nesting system and results show that utility rates are all within the admitted errors.
author2 Hsin-Chuan Kuo
author_facet Hsin-Chuan Kuo
Chih-Chien Wang
王誌謙
author Chih-Chien Wang
王誌謙
spellingShingle Chih-Chien Wang
王誌謙
A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems
author_sort Chih-Chien Wang
title A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems
title_short A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems
title_full A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems
title_fullStr A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems
title_full_unstemmed A Study of the AutoCAD System on Two-dimensional Nesting Optimization Problems
title_sort study of the autocad system on two-dimensional nesting optimization problems
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/35690002678300972678
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