系統識別號 U0026-0407201304290600
論文名稱(中文) 照明系統採購方案評選模式之研究
論文名稱(英文) The Study of Lighting System Procurement Program Selection Model
校院名稱 成功大學
系所名稱(中) 資訊管理研究所
系所名稱(英) Institute of Information Management
學年度 101
學期 2
出版年 102
研究生(中文) 林以淩
研究生(英文) I-Ling Lin
學號 r76004093
學位類別 碩士
語文別 中文
論文頁數 94頁
口試委員 指導教授-王泰裕
中文關鍵字 照明系統  多屬性決策  TOPSIS評估法 
英文關鍵字 Lighting System  Multiple Attribute Decision Making  TOPSIS 
中文摘要 照明是人類生活中不可或缺的基本需求,也是現代文明生活水準的重要指標之一,長期以來,照明用電更是國家競爭力以及進化的象徵。隨著經濟的成長,人類在照明的耗能也逐漸地增加,基於全球環境的考量,應該選擇適當的節電照明系統來使用,但是多管道的資訊來源以及公司本身的條件限制,會使得公司在選購時,無法以單一屬性或標準來決定,需要考量各個相關層面的因素。
英文摘要 Lighting is necessary and indispensable for human beings. It is not only the basic needs but the important index to evaluate the living standards. For a long time, the energy usage on lighting is the symbol of competitiveness and progress of country. The consumption of energy or power has progressively increased with economic growth. To protect the world environment, we should use the energy-saving lighting system properly. However, we can’t evaluate the alternatives by single criterion or attribute because the evaluation process involves multi-source information and internal environment of the company. We should consider the factors from all relevant aspects.
This study aims to discuss how the industries managing to choose the best lighting system. This study divides the factors on procuring lighting systems into two categories, one is the general factors affecting procurement process of suppliers and the other is the factors affecting lighting system itself. This study combines the AHP and TOPSIS to find the best alternative. The AHP is applied to establish hierarchical structure and obtained the weights for each attributes. And the TOPSIS is used to rate the alternatives.
The case study shows that the alternative with the positive ideal solution on delivery, illuminance, luminance and initial cost will be the best solution. And, these parameters will affect the optimal solution through the sensitivity analysis. Different attribute weights will have different ranking orders. Changing the initial cost and usage cost will also make ranking order different.
論文目次 摘要 I
Abstract II
誌謝 III
目錄 V
表目錄 VII
圖目錄 IX
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究範圍與限制 3
第四節 研究流程 3
第五節 論文架構 4
第二章 文獻探討 5
第一節 照明系統 5
第二節 多準則決策 12
第三節 TOPSIS評估法的理論 16
第四節 屬性權重求算方式 22
第五節 小結 29
第三章 照明系統採購方案評選模式 30
第一節 照明系統採購的評估層級架構 31
第二節 照明系統採購的屬性權重值 37
第三節 TOPSIS評估模型 41
第四節 小結 47
第四章 實例驗證 48
第一節 個案公司環境簡介 48
第二節 個案公司資料說明與驗證 49
第三節 敏感度分析 58
第四節 小結 75
第五章 結論與建議 76
第一節 結論 76
第二節 未來研究方向與建議 77
參考文獻 78
附錄 84
附件一 84
參考文獻 一、中文部分

Agarski, B., Budak, I., Kosec, B., & Hodolic, J. (2012). An approach to multi-criteria environmental evaluation with multiple weight assignment. Environmental Modeling and Assessment, 17(3), 255-266.
Albu, H. C., Halonen, L., Tetri, E., Pop, F., & Beu, D. (2012). Luminous and power quality analysis of office building light sources. Lighting Research and Technology.
Alinezhad, A. & Amini, A. (2011). Sensitivity Analysis of TOPSIS Technique: The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives. Journal of Optimization in Industrial Engineering 4 (7), 23-28.
Bian, J. M., & Bai, Q. (2013). Optimal Selection of Construction Schemes Based on Simplified ELECTRE. Advanced Materials Research, 616, 332-337.
Buede, D. M., & Maxwell, D. T. (1995). Rank disagreement: A comparison of multi-criteria methodologies. Journal of Multi-Criteria Decision Analysis, 4(1), 1-21.
Capocelli, R. M., & De Luca, A. (1973). Fuzzy sets and decision theory. Information and Control, 23(5), 446-473.
Chakraborty, S., & Yeh, C. H. (2009). A simulation comparison of normalization procedures for TOPSIS. Proceedings of International Conference on Computers and Industrial Engineering, 2009, CIE (2009), 1815–1820.
Dickson, G. W. (1966). An analysis of vendor selection system and decisions. Journal of Purchasing, 2(1),5-12.
England, W. B., Leenders, M. R., & Lewis, H. T. (1975). Purchasing and materials management (6th ed.). Homewood, IL: Richard D. Irwin.
Farmer, D. (1981). Developing Purchasing Strategies. International Journal of Physical Distribution & Logistics Management, 11(2/3), 114-121.
Fotios, S. (2013). LRT Digest 1 Maintaining brightness while saving energy in residential roads. Lighting Research and Technology, 45(1), 7-21.
García Márquez, F. P., Lewis, R. W., Tobias, A. M., & Roberts, C. (2008). Life cycle costs for railway condition monitoring. Transportation Research Part E: Logistics and Transportation Review, 44(6), 1175-1187.
Garcia-Cascales, M. S., & Lamata, M. T. (2011). Multi-criteria analysis for a maintenance management problem in an engine factory: rational choice. Journal of Intelligent Manufacturing, 22(5), 779-788.
Goffin, K., Szwejczewski, M., & New, C. (1997). Managing suppliers: when fewer can mean more. International Journal of Physical Distribution & Logistics Management, 27(7), 422-436.
Goodman, T. M. (2009). Measurement and specification of lighting: A look at the future. Lighting Research and Technology, 41(3), 229-243.
Guo, W., & Wang, H. (2011). Application of TOPSIS Model Based on AHP Weight to Beiyun River Ecosystem Health Assessment. In X. Zhou (Ed.), 2011 International Conference on Energy and Environmental Science-Icees 2011 (Vol. 11, pp. 3899-3904).
Hartwich, F. (1999). Weighting of Agricultural Research Results: Strength and Limitations of the Analytic Hierarchy Process (AHP).
Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24.
Horsky, D., & Nelson, P. (2006). Testing the statistical significance of linear programming estimators. Management science, 52(1), 128-135.
Houser, K. W., Tiller, D. K., Bernecker, C. A., & Mistrick, R. G. (2002). The subjective response to linear fluorescent direct/indirect lighting systems. Lighting Research and Technology, 34(3), 243-260.
Hwang, C. L., Lai, Y. J., & Liu, T. Y. (1993). A new approach for multiple objective decision making. Computers & Operations Research, 20(8), 889-899.
Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag.
Jacobs, A. (2004). Syntlight Handbook. London Metropolitan University.
Jahanshahloo, G. R., Lotfi, F. H., & Izadikhah, M. (2006). An algorithmic method to extend TOPSIS for decision-making problems with interval data. Applied Mathematics and Computation, 175(2), 1375-1384.
Juslén, H. T., Verbossen, J., & Wouters, M. C. H. M. (2007). Appreciation of localised task lighting in shift work—A field study in the food industry. International Journal of Industrial Ergonomics, 37(5), 433-443.
Kim, G., Park, C. S., & Yoon, K. P. (1997). Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement. International Journal of Production Economics, 50(1), 23-33.
Leenders, M. R. (1989). Supplier Development. Journal of Purchasing and Materials Management, 25(1), 47-55.
Li, Z., Wang, X., & Zheng, N. (2012). An Evaluation Model for Synchronized Supply Chain Based on Entropy Weight and TOPSIS I. In Software Engineering and Knowledge Engineering: Theory and Practice (pp. 787-793). Springer Berlin Heidelberg.
Lin, M. C., Wang, C. C., Chen, M. S., & Chang, C. A. (2008). Using AHP and TOPSIS approaches in customer-driven product design process. Computers in Industry, 59(1), 17-31.
Lin, S. W., & Lu, M. T. (2012). Characterizing disagreement and inconsistency in experts' judgments in the analytic hierarchy process. Management Decision, 50(7), 1252-1265.
Lin, Y. H., Lee, P. C., Chang, T. P., & Ting, H. I. (2008). Multi-attribute group decision making model under the condition of uncertain information. Automation in Construction, 17(6), 792-797.
Nijkamp, P. (1977). Stochastic quantitative and qualitative multicriteria analysis for environmental design. Papers in Regional Science, 39(1), 175-199.
Olson, D. L. (2004). Comparison of weights in TOPSIS models. Mathematical and Computer Modelling, 40(7–8), 721-727.
Omurca, S. I. (2013). An intelligent supplier evaluation, selection and development system. Applied Soft Computing, 13(1), 690-697.
Rechtsteiner, G. A., & Ganske, J. A. (1998). Using Natural and Artificial Light Sources to Illustrate Quantum Mechanical Concepts. The Chemical Educator, 3(4), 1-12.
Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
Saaty, T. L. (2004). Fundamentals of the Analytic Network Process - Dependence and Feedback in Decision-Making with a Single Network. Journal of Systems Science and Systems Engineering, 3(2), 129-157.
Saaty, T. L. (2005). Analytic Hierarchy Process, Encyclopedia of Biostatistics. New Jersey: John Wiley & Sons, Ltd.
Schubert, E. F., & Kim, J. K. (2005). Solid-state light sources getting smart. Science, 308(5726), 1274-1278.
Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision making. Mathematical and Computer Modelling, 45(7–8), 801-813.
Shyur, H. J. (2006). COTS evaluation using modified TOPSIS and ANP. Applied Mathematics and Computation, 177(1), 251-259.
Silalertruksa, T., Bonnet, S., & Gheewala, S. H. (2012). Life cycle costing and externalities of palm oil biodiesel in Thailand. Journal of Cleaner Production, 28, 225-232.
Smith, P. G., & Theberge, J. B. (1987). Evaluating natural areas using multiple criteria: theory and practice. Environmental management, 11(4), 447-460.
Triantaphyllou, E., & Sánchez, A. (1997). A Sensitivity Analysis Approach for Some Deterministic Multi-Criteria Decision-Making Methods. Decision Sciences, 28(1), 151-194.
Tsaur, S. H., Chang, T. Y., & Yen, C. H. (2002). The evaluation of airline service quality by fuzzy MCDM. Tourism Management, 23(2), 107-115.
Waide, P., & Brunner, C. U. (2011). Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems. IEA (International Energy Agency), Energy Efficiency, Paris.
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18.
Webster, F. E. J., & Wind, Y. (1972). A General Model for Understanding Organizational Buying Behavior. Journal of Marketing, 36(2), 12-19.
Weitz, K. A., Smith, J. K., & Warren, J. L. (1994). Developing a decision support tool for life-cycle cost assessments. Environmental Quality Management, 4(1), 23-36.
Wilson, E. J. (1994). The Relative Importance of Supplier Selection Criteria: A Review and Update. Journal of Supply Chain Management, 30(3), 34-41.
Xiao, C., Shao, D., & Yang, F. (2011). Improved TOPSIS Method and Its Application on Initial Water Rights Allocation in the Watershed. In C. Liu, J. Chang & A. Yang (Eds.), Information Computing and Applications (Vol. 244, pp. 583-592): Springer Berlin Heidelberg.
Yeh, C. H. (2003). The Selection of Multiattribute Decision Making Methods for Scholarship Student Selection. International Journal of Selection and Assessment, 11(4), 289-296.
Yoon, K. (1987). A Reconciliation among Discrete Compromise Solutions. The Journal of the Operational Research Society, 38(3), 277-286.
Yoon, K.P., & Hwang, C.L. (1995). Multiple Attribute Decision Making, An Introduction. London: Sage Publications.
Yurdakul, M., & Ic, Y. T. (2005). Development of a performance measurement model for manufacturing companies using the AHP and TOPSIS approaches. International Journal of Production Research, 43(21), 4609-4641.
Zouggari, A., & Benyoucef, L. (2012). Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem. Engineering Applications of Artificial Intelligence, 25(3), 507-519.
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