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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/49581
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor黃奎隆(Kwei-Long Huang)
dc.contributor.authorChe-Ming Kuoen
dc.contributor.author郭哲銘zh_TW
dc.date.accessioned2021-06-15T11:35:55Z-
dc.date.available2021-08-25
dc.date.copyright2016-08-25
dc.date.issued2016
dc.date.submitted2016-08-15
dc.identifier.citation參考文獻
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/49581-
dc.description.abstract植物工廠(Plant Factory)產業為一新型作物耕種模式,透過自動控制系統對耕種環境,如溫度、濕度、光源、水分及營養物的自動管控,達到提升作物品質及增加產量等目標。植物工廠相較於傳統農業營運成本高出許多。一般來說,作物之體積會隨時間而增長,然而廠區內的栽培室空間是有限的,故如何有效利用空間即為相當重要的議題;此外,植物工廠所種植之作物許多皆具可多期收成及異質環境產量差異等特性,若能有效考量這些特性,將可以使植物工廠之種植排程規劃更有效率,以彌補成本過高的劣勢。
本研究之探討目標為植物工廠的排程問題,藉由參考傳統農地耕種規劃之線性規劃模型,提出一個整數規劃模型以描述完全人工控制型植物工廠之可多期收成作物耕種決策,並在遵循植物生長之特性之限制下,以總收入最大化為目標求解排程規劃。本研究使用IBM ILOG CPLEX套件求算最佳解,然而,隨著問題以及規劃期數的增加,欲求解之問題以及所需之求解時間將快速成長,使得求解效率不彰。本研究將應用啟發式演算法(LRBPFA)對此模型進行求解,以期在有限的時間內有效求得品質不錯的解。在此演算法之實證研究時,本研究將三個因子分別設定不同之水準,包括(1)作物種類、(2)規劃期數以及(3)栽培室間數等,且由數值分析可看出本研究應用之拉氏鬆弛法在較大之問題規模時仍能保持不錯的求解品質。如此一來,本研究可根據此解得一最適作物排程規劃策略,以做為植物工廠產業做決策時的考量依據,讓有限資源得到更充分的運用。
zh_TW
dc.description.abstractPlant factory is an environmental controlled facility which can sustain the stable crop cultivation with fast production and better quality by setting temperature, humidity, lighting, nutrient supply and other cultivating factors. In this study, we focus on the crop-scheduling problem for a plant factory and consider the special property of crops which can be harvested multiple times. This scheduling problem is formulated as a mixed integer programming (MIP) problem. The objective function is defined as to find the maximum revenue for the plant factory under the consider of different practical condition including types of crops, cultivation room number, cultivation room space, heterogeneous harvesting amount among different environment of cultivation room and multiple harvesting period. This study develops a heuristic algorithm method (Lagrangian relaxation method) to solve problem in a large scale for searching a good solution in an effective way.en
dc.description.provenanceMade available in DSpace on 2021-06-15T11:35:55Z (GMT). No. of bitstreams: 1
ntu-105-R03546050-1.pdf: 1984497 bytes, checksum: ca96368518bced7a0b87c2cb241973bb (MD5)
Previous issue date: 2016
en
dc.description.tableofcontents目錄
口試委員會審定書 i
致謝 ii
中文摘要 iii
ABSTRACT iv
圖目錄 vii
表目錄 viii
第一章 緒論 1
1.1 植物工廠 1
1.2 植物工廠適合之作物 2
1.3 植物之特性 2
1.4 研究背景與動機 5
1.5 研究目的與方法 6
第二章 文獻探討 7
2.1 計畫性生產 7
2.2 農業規劃與耕地排程 8
2.3 永續蔬菜作物供應問題 10
2.4 整數規劃求解算法 12
2.5.1 拉氏鬆弛法 12
2.5.2 變數產生法 13
第三章 問題描述與模型 15
3.1 問題描述 15
3.2 問題基本假設與限制 16
3.3 數學整數規劃模型 17
第四章 啟發式演算法 29
4.1 LRBPFA求解流程 30
4.2 LRBPFA演算範例 35
第五章 數值分析 44
5.1 情境說明以及參數設定 44
5.1.1 農作物生長資訊 44
5.1.2 植物工廠環境之設定 45
5.1.3 作物價格資訊 46
5.1.4 執行環境 46
5.1.5 實驗設計 46
5.2 實驗結果與說明 48
第六章 結論 53
6.1 研究總結 53
6.2 未來展望 54
參考文獻 55
附錄一、 農產品交易價格表 59
dc.language.isozh-TW
dc.subject混合整數規劃zh_TW
dc.subject農作物排程zh_TW
dc.subject植物工廠zh_TW
dc.subject啟發式演算法zh_TW
dc.subject拉氏鬆弛法zh_TW
dc.subjectmixed integer programmingen
dc.subjectcrop scheduling problemen
dc.subjectLagrangian relaxation methoden
dc.subjectplant factoryen
dc.subjectheuristic algorithm methoden
dc.title考量栽種具多期採收特性作物之植物工廠排程研究zh_TW
dc.titleA Scheduling Research in Plant Factory with Considering Multi-Period Harvesten
dc.typeThesis
dc.date.schoolyear104-2
dc.description.degree碩士
dc.contributor.oralexamcommittee余峻瑜(Jiun-Yu Yu),楊朝龍(Chao-Lung Yang)
dc.subject.keyword植物工廠,農作物排程,混合整數規劃,啟發式演算法,拉氏鬆弛法,zh_TW
dc.subject.keywordplant factory,crop scheduling problem,mixed integer programming,heuristic algorithm method,Lagrangian relaxation method,en
dc.relation.page59
dc.identifier.doi10.6342/NTU201602750
dc.rights.note有償授權
dc.date.accepted2016-08-16
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工業工程學研究所zh_TW
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