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論文中文名稱:第四方物流服務供應商之績效評估 [以論文名稱查詢館藏系統]
論文英文名稱:Performance Evaluation of the fourth party logistics service providers [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:管理學院
系所名稱:工業工程與管理系碩士班
畢業學年度:101
出版年度:102
中文姓名:林佳瑩
英文姓名:Chia-Ying Lin
研究生學號:100378013
學位類別:碩士
語文別:中文
口試日期:2013-05-28
論文頁數:49
指導教授中文名:車振華
指導教授英文名:Zhen-Hua Che
口試委員中文名:王河星;江梓安
口試委員英文名:Her-Shing Wang;Tzu-An Chiang
中文關鍵詞:第四方物流(Fourth party logistics, 4PL)模糊層級分析法(Fuzzy Analytical Hierarchy Procedure, FAHP)VIKOR視覺化決策模式
英文關鍵詞:Fourth Party Logistics (4PL)Fuzzy Analytical Hierarchy Procedure (FAHP)VIKORDecision Ball Models
論文中文摘要:在日益增長的複雜物流交易裡,要考慮到物流的理貨、運輸、配送、倉儲等物流服務,物流業者也就更重視在物流的快速、便利性以及整合等服務,可以為公司帶來提升營運的效率、作業能力等好處。為因應這些複雜的物流交易與需求,第四方物流(Fourth party logistics, 4PL)可以提供全面的供應鏈解決方案。4PL服務供應商能夠有效的幫助企業減少成本、增加附加的價值等,因此選取一個適合的第四方物流服務供應商是一個重要的問題。本研究的目的是為建立選擇一個適合的4PL服務供應商績效評估模式。幫助企業建構一個最合適選出的4PL服務供應商的方法,使其能增加企業的利益與競爭優勢。本研究採用FAHP結合VIKOR法計算相關4PL服務供應商準則的權重,再利用視覺化決策模式來決定替代方案的排序。從候選的名單裡排序找出最合適的4PL服務供應商。此建構模式結果期望協助企業評選適合的4PL服務供應商,給決策者適當的建議並增加企業的利益與競爭優勢,提供決策者一個更有效率的評選模式做決策。
論文英文摘要:In transactions where the growing complexity of logistics is taking into account the logistics of cargo handling, transportation, distribution, warehousing and other logistics services. Logistics industry has become even more important in the logistics fast, convenience and integration services which it can benefit in such as the enhancement of operational efficiency and the operating capacity. In response to these complex trading and logistics needs, Fourth party logistics (4PL) provides totally-supplied chain solution plans. 4PL service providers can effectively help companies to reduce costs and increase additional value, etc., therefore selecting an appropriate 4PL service providers is an important issue. The purpose of this study is to establish a suitable selection of 4PL service provider performance evaluation model. Help enterprises to establish and select the most appropriate method of 4PL service providers to enable them to increase their benefits and competitive advantages. This study used the combination of FAHP and VIKOR to calculate 4PL service provider criteria weight, later used visualization decision model to determine alternative sequences. Finally, from the candidate list sequence order identify the most suitable 4PL service provider. With the results obtained from this model is expected to help enterprises to establish a suitable selection of 4PL service provider, giving to policy makers appropriate recommendations and also increase their benefits and competitive advantage, providing to decision-makers a more efficient evaluation model in their decisions.
論文目次:摘要 i
ABSTRACT ii
誌謝 iv
目錄 v
表目錄 vii
圖目錄 viii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.3 研究流程 4
第二章 文獻探討 5
2.1 第四方物流服務及供應商評選 5
2.2 FAHP及其於多準則評量之應用 7
2.2.1模糊數 9
2.2.2語言變量 10
2.3 VIKOR法及其於供應商評選之應用 11
2.4 視覺化決策模式及其於排序評比之應用 12
2.4.1 視覺化決策模式之優勢 15
第三章 研究方法 16
3.1問題描述與研究限制 16
3.2研究架構 18
3.3研究方法與進行程序 20
3.3.1第一階段:建立4PL服務供應商評估準則之層級架構 20
3.3.2 第二階段:4PL服務供應商評估準則權重之建構 20
3.3.3第三階段:4PL服務供應商績效評估與排序 24
第四章 模式應用 29
4.1第一階段4PL服務供應商評估準則之層級架構 29
4.2 4PL服務供應商評估準則權重計算 31
4.3第三階段4PL服務供應商績效評估與排序 33
4.4模式驗證與比較分析 39
4.4.1證明模式的正確性 39
4.4.2證明建構4PL服務供應商模式的準確性 41
第五章、結論與建議 43
參考文獻 44
論文參考文獻:[1] S. Alireza and S. Alagheband, “Logistics Parties,” Logistics Operations and Management, 2011, pp. 71-91.
[2] J. J. Buckley, “Fuzzy hierarchical analysis,” Fuzzy Sets and Systems, vol. 17, no. 3, 1985, pp. 233-247.
[3] G. Buyukozkan, O. Feyziogiu, M. S. Ersoy, “Evaluation of 4PL operating models: A decision making approach based on 2-additive Choquet integral,” International Journal of Production Economics, vol. 121, no. 3, 2009, pp. 112-120.
[4] D. N. Bauknight and J. R. Miller, “Fourth party logistics: The Evolution of Supply Chain Outsourcing”, web site:www.npeters.com/studium/4pl_present.pdf, retrieved:2012/04/30.
[5] J. J. H. Liou and Y. T. Chuang, “Developing a hybrid multi-criteria model for selection of outsourcing providers,” Expert Systems with Applications, vol. 37, no. 5, 2010, pp. 3755-3761.
[6] Z. Chen and W. Yang, “An MAGDM based on constrained FAHP and FTOPSIS and its application to supplier selection,” Mathematical and Computer Modelling, vol. 54, no. 11-12, 2011, pp.2802-2615.
[7] I. Chamodrakas, D. Batis, D. Martakos, “Supplier selection in electronic marketplaces using satisficing and fuzzy AHP,” Expert Systems with Applications, vol. 37, no. 1, 2010, pp. 490-498.
[8] S. J. Chen, C. L. Hwang, F. P. Hwang, Fuzzy multiple attribute decision making: methods and Applications, New York: Springer-Verlag, 1992, pp.375.
[9] F. T. S. Chan and N. Kumar, “Global supplier development considering risk factors using fuzzy extended AHP-based approach,” Omega, vol. 35, no. 4, 2007, pp. 417-431.
[10] S. J. Chen, C. L. Hwang and F. P. Hwang, Fuzzy Multiple Attribute Decision Making: Methods and Applications, Berlin: Springer-Verlag, 1992.
[11] M. Ekmekcioglu, T. Kaya and C. Kahraman, “Fuzzy multicriteria disposal method and site selection for municipal solid waste,” Waste Management, vol. 30, no. 9, 2010, pp. 1729-1736.
[12] A. T. Gumus, “Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology,” Expert Systems with Applications, vol. 36, no. 2, 2009, pp. 4067-4074.
[13] T. Y. Hsieh, S. T. Lu, G. H. Tzeng, “Fuzzy MCDM approach for planning and design tenders selection in public office buildings,” International Journal of Project Management, vol. 22, no. 7, 2004, pp. 573-584.
[14] A. H. Hu, C. W. Hsu, T. C. Kuo, W. C. Wu, “Risk evaluation of green components to hazardous substance using FMEA and FAHP,” Expert Systems with Applications, vol. 36, no. 3, 2009, pp. 7142-7147.
[15] C. C. Ho, “Construct factor evaluation model of Health Management Center selected by customers with Fuzzy Analytic Hierarchy Process,” Expert Systems with Applications, vol. 39, no. 1, 2012, pp. 954-959.
[16] C. L. Hwang and K. Yoon, Multiple Attribute Decision Making, Berlin: Springer, 1989.
[17] Jiang et al. “TOPSIS with fuzzy belief structure for group belief multiple criteria decision making,” Expert Systems with Applications, vol. 38, no. 8, 2011, pp. 9400-9406.
[18] A. C. Kutlu and M. Ekmekcioglu, “Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP,” Expert Systems with Applications, vol. 39, no. 1, 2012, pp. 61-67.
[19] O. Kilincci, S. A. Onal, “Fuzzy AHP approach for supplier selection in a washing machine company,” Expert Systems with Applications, vol. 38, no. 8, 2011, pp. 9656-9664.
[20] A. Kaufmann and M. M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Applications, New York: International Thomson Computer Press, 1991.
[21] C. Kahraman, D. Ruan, U. Cebeci, “Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey,” International Journal of Production Economics, vol. 87, no. 2, 2004, pp. 171-184.
[22] Y. Li, X. Liu, Y. Chen, “Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management,” Expert Systems with Applications, vol. 38, no. 6, 2011, pp. 7901-7908.
[23] P. J. M. Laarhoven and W. Pedrycz, “A fuzzy extension of Saaty's priority theory,” Fuzzy Sets and Systems, vol. 11, no. 3, 1983, pp. 199-227.
[24] J. Yao, “Decision optimization analysis on supply chain resource integration in fourth party logistics,” Journal of Manufacturing Systems, vol. 29, no. 4, 2010, pp. 121-129.
[25] L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, 1965, pp. 338-353.
[26] L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning—I,” Information Sciences, vol. 8, no. 3, 1975, pp. 199-249.
[27] J. Gattorna, Fourth party logistics: en route to breakthrough performance in the supply chain. In: Gower, 1998, pp. 425–445.
[28] S. Opricovic, Multicriteria optimization of civil engineering systems, Faculty of Civil Engineering, Belgrade, 1998.
[29] Y. P. O. Yang, H. M. Shieh and G. H. Tzeng, “A VIKOR technique based on DEMATEL and ANP for information security risk control assessment,” Information Sciences, 2011, pp. 19.
[30] A. Sanayei, S. F. Mousavi and A. Yazdankhah, “Group decision making process for supplier selection with VIKOR under fuzzy environment,” Expert Systems with Applications, vol. 37, no. 1, 2010, pp. 24-30.
[31] Jahan, Mustapha et al. “A comprehensive VIKOR method for material selection,” Materials and Design, vol. 32, no. 3, 2011, pp. 1215-1221.
[32] H. Hsu, F. K. Wang and G. H. Tzeng, “The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR,” Resources, Conservation and Recycling, vol. 66, 2012, pp.95-111.
[33] S. Opricovic and G. H. Tzeng, “Extended VIKOR method in comparison with outranking methods,” European Journal of Operational Research, vol. 178, no. 2, 2007, pp. 514-529.
[34] L. C. Ma, “Decision Ball Models: Methods and Applications,” Ph. D. Thesis, National Chiao Tung University, Taipei, 2006.
[35] H. L. Li, L. C. Ma and Y. S. Huang, “Ranking and Grouping Decision Alternatives by using Gower Plots and Decision Balls,” Journal of the Chinese Institute of Industrial Engineers, vol. 21, no. 2, 2004, pp. 113-120.
[36] L. C. Ma and H. L. Li, “Using Gower Plots and Decision Balls to rank alternatives involving inconsistent preferences,” Decision Support Systems, vol. 51, no. 3, 2011, pp. 712-719.
[37] H. L. Li and L. C. Ma, “Visualizing decision process on spheres based on the even swap concept,” Science Direct, vol. 45, no. 2, 2008, pp. 354-367.
[38] L. C. Ma, “Visualizing preferences on spheres for group decisions based on multiplicative preference relations,” European Journal of Operational Research, vol. 203, no. 1, 2010, pp. 176-184.
[39] J. L. Gelderman, Strategic Supply Chain Alignment: Best Practice in Supply Chain Management, England:Gower, 1998.
[40] J. H. Cheng, S. S. Chen and Y. W. Chuang, “A Study of Constructing Fourth Party Logistics' Selection Criterion from Supply Chain Integration and Information Technology Perspectives--An Application of Fuzzy MCDM,” Electronic Commerce Studies, vol. 6, no. 4, 2008, pp. 401-424.
[41] G. Işıklar, E. Alptekin, G. Buyukozkan, “Application of a hybrid intelligent decision support model in logistics outsourcing,” Computers and Operation Research, vol. 34, 2007, pp. 3701-3714.
[42] S. Jharkharia, R. Shankar, “Selection of logistics service provider: an analytic network process (ANP) approach,” Omega, vol. 35, 2007, pp. 274-289.
[43] B. Zhua, S. Watts and H. Chen, “Visualizing social network concepts,” Decision Support Systems, vol. 49, no. 2, 2010, pp.151-161.
[44] K. K. Mane et al. “VisualDecisionLinc: A visual analytics approach for comparative effectiveness-based clinical decision support in psychiatry,” Journal of Biomedical Informatics, vol. 45, no. 1, 2012, pp. 101-106.
[45] Newman et al. “Visualizing search results and document collections using topic maps,” Web Semantics: Science, Services and Agents on the World Wide Web, vol. 8, no.2-3, 2010, pp. 169-175.
[46] Booz Allen Hamilton and CEL/COPPEAD, “Operadores Logisticos—Realidade ou Desafio no Brasil,” Brasil, 2001.
[47] G. Wang et al. “Product-driven supply chain selection using integrated multi-criteria decision-making methodology,” International Journal of Production Economics, vol. 91, no. 1, 2004, pp. 1-15.
[48] M.F. Rey, “Indicadores de Desempenho Logistico,” Revista LOGMAN, vol. 30, 1999, pp. 18-23.
[49] P. Dornier et al. “Global Operations and Logistics: Text and Cases,” Wiley, USA ,1998.
[50] F. Krakovics et al. “Defining and calibrating performance indicators of a 4PL in the chemical industry in Brazil,” International Journal of Production Economics, vol. 115, no. 2, 2008, pp. 502-514.
[51] T. L. Saaty, The analytic hierarchy process, New York:McGraw-Hill,1980.
[52] M. Huang et al. “Fourth party logistics routing problem with fuzzy duration time,” International Journal of Production Economics, 2013.
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