研究生: |
柯裕倡 Yu-Chang Ke |
---|---|
論文名稱: |
住宅整建人力排程決策支援系統 A decision support system for labor-force allocation of housing refurbishment |
指導教授: |
彭雲宏
Yeng-Horng Perng |
口試委員: |
周家鵬
Chia-Peng Chou 杜功仁 Kung-Jen Tu 簡聖芬 Sheng-Fen Chien |
學位類別: |
碩士 Master |
系所名稱: |
設計學院 - 建築系 Department of Architecture |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 中文 |
論文頁數: | 43 |
中文關鍵詞: | 住宅整建產業 、人力排程 、基因演算法 、決策支援系統 |
外文關鍵詞: | Housing refurbishment industry, Labor-force allocation, Genetic Algorithms (GA), Decision support system (DSS) |
相關次數: | 點閱:484 下載:0 |
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隨著國家的發展進步、既有建築物的老舊與國人居住品質的提升,住宅整建的需求與整體規模與日俱增。整建過程中,每個個案平均規模小,需配合的工種與材料繁瑣,加上住宅整建案量不穩定,使得人力易發生等候、閒置等浪費。本研究提出一住宅整建人力排程決策支援系統,整合多廠商聯合進行人力排程,並以最佳化工具-基因演算法進行最小成本之排程設計,以降低傳統整建過程中個別運籌所易發生的浪費。另外,配合PDA的使用,工班能即時獲得下一工地的整建需求資訊,並能將最新施工狀況回饋至整建進度資訊系統,提供消費者於線上查詢之加值服務。最後,研究結果顯示,運用住宅整建人力排程決策支援系統,可以降低傳統整建過程中約20%的人力運籌成本及降低17%人力閒置的浪費。
As the development of countries, decay of the building and upgrade of living quality, the requirement of maintenance and the scale of whole refurbishment industries are increasing. In average, due to the small scale in refurbishment project, the complex types of workers and materials as well as the unstable housing refurbishment quantity, it is easy to let craftsmen lie idle. This research establishes a decision support system for labor-force allocation of housing refurbishment, which integrates methodologies such as “union factories schedules”, “Genetic Algorithms”, “critical path method” to reduce unnecessary cost. Furthermore, by using PDA, craftsmen could receive information of the next refurbishment site and feedback the newest working condition to the refurbishment progress information system, which supply customers to check the real time condition in Internet. The research result revealed that applying the DSS could reduce 20% labor-force logistic cost and decrease 17% labor-force lain idle time.
英文部分:
1. Hegazy, T., Elhakeem, A. ,and Elbeltagi , E.(2004). Distributed scheduling model for infrastructure networks. Journal of Construction Engineering and Management,130(2),160-167.
2. Hegazy, T., and Petzold, K. (2003). Genetic optimization for dynamic project control. Journal of Construction Engineering and Management,129(4),396-404.
3. Hegazy, T., and Kassab, M.(2003). Resource optimization using combined simulation and genetic algorithms. Journal of Construction Engineering and Management,129(6),698-705.
4. Elhakeem, A. ,and Hegazy, T.(2005).Graphical approach for manpower planning in infrastructure networks. Journal of Construction Engineering and Management,131(2),168-175.
5. Hegazy, T.(1999).Optimization of resource allocation and leveling using genetic algorithms. Journal of Construction Engineering and Management,125(3),167-175.
6. Gomar, J.(2002).Assignment and allocation optimization of partially multiskilled workforce. Journal of Construction Engineering and Management,128(2),103-109.
7. Leu, S., and Yang, C.(1999).GA-Based multicriteria optimal model for construction scheduling. Journal of Construction Engineering and Management,125(6),420-427.
8. Hassanein, A., and Melin, J.(1997) Crew design methodology for construction contractor. Journal of Construction Engineering and Management,123(3),203-207.
9. Shohet, I.I., and Perelstein, E.(2004) Decision support model for the allocation of resources in rehabilitation projects. Journal of Construction Engineering and Management,130(2),249-257.
10. Lai, K. , and Li, L.(1999) A dynamic approach to multiple-objective resource allocation problem. European Journal of Operational Research, 117,293-309.
11. Pinker, E.J., and Larson, R.C.(2003) Optimizing the use of contingent labor when demand is uncertain. European Journal of Operational Research,144, 39-55.
12. Pheng, L. S. and Tan, S. K. L.(1998) How ‘just-in-time’ wastage can be quantified: case study of private condominium project. Construction Management and Economics, 16, 621-635.
13. Mats G.Holm (2000) Service management in housing refurbishment: a theoretical approach. Construction Management and Economics,18, 525-533.
14. Pheng, L. S., and Mok, S. H.(1999)The application of JIT philosophy to construction: a case study in site layout. Construction Management and Economics, 17,657-668.
15. Tam C.M., Tong K.L., Cheung S.O., and Chan P.C.(2001)Genetic algorithm model in optimizing the use of labour. Construction Management and Economics, 19, 207-215.
中文部分:
1. 杜功仁,台灣住宅整建之需求特性,中華民國建築學會建築學報第39期,87-100,2002。
2. 林信呈,台灣住宅整建行為模式之初探,國立台灣科技大學建築系碩士論文,2000。
3. 蕭大年,台北市住戶整建消費行為模式之研究,國立台灣科技大學建築系碩士論文,2000。
4. 陳松如,營建業建構供應鏈管理體系之研究,國立台灣科技大學建築系碩士論文,2001。
5. 吳秉軒,台北市住宅室內裝修專案之工程管理,國立台灣科技大學建築系碩士論文,2004。
6. 賴攸展,整建產業之結構分析,國立台灣科技大學建築系碩士論文,2003。
7. 劉承霖,整建產業經濟及廠商經營管理之研究,國立台灣科技大學建築系碩士論文,2003。
8. 蔡志祥,台灣住宅整建發展策略,國立台灣科技大學建築系碩士論文,2003。
9. 李朝昇,住宅室內裝修消費前期之消費者決策行為模式,國立台灣科技大學建築系碩士論文,2004。
10. 許銘元,資源分配模型模擬機制之建構,朝陽科技大學營建工程系碩士論文,2004。
11. 林家群,施工作業空間衝突下之工班間等待行為造成之生產力折減程度,台灣大學土木工程學系碩士論文,2003。