A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders
碩士 === 長榮大學 === 資訊管理學系碩士班 === 98 === In this thesis, we consider One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders. Stock cutting is treated as a routing process in a factory in which orders in consecutive time periods (daily, weekly or monthly) need...
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ndltd-TW-098CJU003960012015-11-13T04:09:16Z http://ndltd.ncl.edu.tw/handle/93317337483173246117 A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders 具時間週期性的連續隨機需求之一維剩餘物料裁切問題之研究 Chia-Hsien Hsu 徐家賢 碩士 長榮大學 資訊管理學系碩士班 98 In this thesis, we consider One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders. Stock cutting is treated as a routing process in a factory in which orders in consecutive time periods (daily, weekly or monthly) need to be fulfilled while obtaining certain company goals such as minimal trim loss, minimal costs, etc. In this model, exact demands for future orders are not available in advance. The partly utilized and useful stock lengths left after fulfilling current order, called non-standard materials, are stored and used later. The goal is the reduction of trim loss and costs over a broader time period. To sort out a partly utilized stock length as a trim loss is decided by a threshold value. It means that if a partly utilized stock length is shorter than the threshold value, it will be treated as trim loss; otherwise it will be stored as a non-standard material. In this research, we propose a heuristic genetic algorithm to estimate the best threshold value which derives minimal cost. Hsin-Hung Chou 周信宏 2010 學位論文 ; thesis 74 zh-TW |
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碩士 === 長榮大學 === 資訊管理學系碩士班 === 98 === In this thesis, we consider One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders. Stock cutting is treated as a routing process in a factory in which orders in consecutive time periods (daily, weekly or monthly) need to be fulfilled while obtaining certain company goals such as minimal trim loss, minimal costs, etc. In this model, exact demands for future orders are not available in advance. The partly utilized and useful stock lengths left after fulfilling current order, called non-standard materials, are stored and used later. The goal is the reduction of trim loss and costs over a broader time period. To sort out a partly utilized stock length as a trim loss is decided by a threshold value. It means that if a partly utilized stock length is shorter than the threshold value, it will be treated as trim loss; otherwise it will be stored as a non-standard material. In this research, we propose a heuristic genetic algorithm to estimate the best threshold value which derives minimal cost.
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Hsin-Hung Chou |
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Hsin-Hung Chou Chia-Hsien Hsu 徐家賢 |
author |
Chia-Hsien Hsu 徐家賢 |
spellingShingle |
Chia-Hsien Hsu 徐家賢 A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders |
author_sort |
Chia-Hsien Hsu |
title |
A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders |
title_short |
A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders |
title_full |
A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders |
title_fullStr |
A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders |
title_full_unstemmed |
A Study on Solving One Dimensional Residual Cutting Stock Problem with Periodic-time and Consecutive Stochastic Orders |
title_sort |
study on solving one dimensional residual cutting stock problem with periodic-time and consecutive stochastic orders |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/93317337483173246117 |
work_keys_str_mv |
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