Title: Measuring the Operational Efficiency of Logistic Industry in Taiwan by Data Envelopment Analysis
Abstract: Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in Data Envelopment Anaysis. Management Science 30(9), 1078-1092.
Bardi, E., Langley, J., & Coyle, J. (1996). The Management of Business Logistics (Sixth edition ed.). Minneapolis: West Publishing Company.
Bourne, M., Mills, J., Wilcox, M., Neely, A., & Platts, K. (2000). Designing, implementing and updating performance measurement systems. International Journal of Operations and Production Management, 20(7), 754–771.
Brewer, P., & Speh, T. (2001). Adapting the balanced scorecard to supply chain management. Supply Chain Management Review, 5(2), 48-56.
Chan, F. (2003). Performance Measurement in a Supply Chain. International Journal of Advanced Manufacturing Technology 21(7), 534–548.
Charnes, A., Cooper, W. W., Lewin, A. Y., Morey, R. C., & Rosseau, J. (1985). Sensitivity and Stability Analysis in DEA. Annals of Operations Research, 2, 139-156.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Chibba, A. (2007). Measuring Supply Chain performance measures-prioritizing performance measures. Licentiate Thesis, Lulea University of Technology.
Christopher, M. (2005). Logistic and Supply Chain Management (Pearson Education ed.).
Cooper, W. W., Seiford, L. M., & Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston: Kluwer Academic.
Coyle, J. J., Langley, C. J., Gibson, B. J., Novack, R. A., & Bardi, E. J. (2009). Supply Chain Management: A Logistics Perspective (8 ed.). South Western: Cengage Learning.
Doyle, J. R., & Green, R. (1994). Efficiency and cross-efficiency in data envelopment analysis: Derivatives, meanings and uses. Journal of the Operational Research Society, 45(5), 567-578.
Fare, R., Grosskopf, S., & Lovell, C. K. (1985). The measurement of Efficiency of Production. Boston: Kluwer Academic Publishers.
Farrell, M. J. (1957). The measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120, 253-281.
Ghalayini, A. M., & Noble, J. S. (1996). The changing basis of performance measurement. International Journal of Operations and Production Management, 16(8), 63–80.
Gunasekaran, A., & Kobu, B. (2007). Performance measures and metrics in logistics and supply chain management: A review of recent literature (1995–2004) for research and applications. International Journal of Production Research, 45(12), 2819–2840.
Gunasekaran, A., & Ngai, E. (2004). Information systems in supply-chain integration and management. European Journal of Operational Research, 159(2), 269-295.
Handfield, R. B., & Nichols, E. L. (2002). Supply Chain Redesign. New York: Financial Prentice Hall.
Holmberg, S. (2000). A systems perspective on supply chain measurements. International Journal of Physical Distribution and Logistics Management, 30(10), 847–868.
Jahanshahlooa, G. R., Lotfi, F. H., Saneic, M., & Jelodar, M. F. (2008). Review of Ranking Models in Data Envelopment Analysis. Applied Mathematical Sciences, 2(29), 1431-1448.
James, T. M., George, B. P., & Terry, S. (2011). Statistics for Business and Economics (Elevent Edition ed.).
Kaplan, R. S., & Norton, D. P. (1993). Putting the balanced scorecard to work. Harvard Business Review
Klemencic, E. (2006). Management of the Supply Chain-Case of Danfoss District Heating Business Area. Master, Ljubljana, Ljubljana.
Lee, H. L., & Billington, C. (1992). Managing supply chain inventory: Pitfalls and opportunities. Sloan Management Review 33(3), 65–73.
Lee, H. L., & Billington, C. (1995). The Evolution of SupplyChain-Management Models and Practice at Hewlett Packard. Interfaces, 25(5), 42-63. doi: 10.1287/inte.25.5.42
Lin, L.-C., & Tseng, L.-A. (2005). Application of DEA and SFA on the Measurement of Operating Efficiencies for 27 International Container Ports. Proceedings of the Eastern Asia Society for Transportation Studies, 5, 592 - 607.
Liu, F., H, & Peng, H. H. (2008). Ranking of units on the DEA frontier with a common weights. Computers and Operations Research, 35, 1624-1635.
Lohman, C., Fortuin, L., & Wouters, M. (2004). Designing a performance measurement system: A case study. [Case study]. European Journal of Operational Research, 156(2), 267–286. doi: 10.1016/S0377-2217(02)00918-9
Lotfi, F. H., Kharazmi, S. A., & Amin, G. R. (2009). A Generalized Sensitivity Analysis DEA Model Applied Mathematical Sciences, 3(5), 2535 - 2541.
Luo, X., & Donthu, N. (2001). Benchmarking Advertising Efficiency. Journal of Advertising Research, 41(6), 7-18.
Maskell, B. H. (1992). Performance measurement for worldclass manufacturing (Vol. 4). Corporate Controller.
Mishra, R. K. (2012). Measuring Supply Chain Efficiency: A DEA Approach. Journal of Operations and Supply Chain Management, 5(1), 45-68.
Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80 - 116. doi: 10.1108/01443579510083622
Olhager, J., & Selldin, E. (2004). Supply chain management survey of Swedish manufacturing firms. International Journal of Production Economics, 89(3), 353-361.
Roll, Y., & Golany, B. (1993). Alternate methods of treating factor weightsin DEA. Omega, 21, 99-109.
Sanei, M., & Chatghayeh, S. M. (2011). Performance evaluation of SCM using DEA: A review. Paper presented at the Data Development Analysis.
Shafiee, M., & Shams-e-alam, N. (2010). Supply chain performance evaluation with rough data envelopment analysis. Paper presented at the 2010 International Conference on Business and Economics Research, Kuala Lumpur.
Tapinos, E., Dyson, R. G., & Meadows, M. (2005). The impact of performance measurement in strategic planning. [Research paper]. International Journal of Productivity and Performance Management, 54(5-6), 370–384. doi: 10.1108/17410400510604539
Thakkar, J., Kanda, A., & Deshmukh, S. (2009). Supply chain performance measurement framework for small and medium scale enterprises. Benchmarking, 16(5), 702–723.
Tilanus, B. (1997). Information Systems in Logistics and Transportation. Elsevier Science Ltd UK
Trappey, C. V., Trappey, A. J. C., Lin, G. Y. P., Liu, C. S., & Lee, W. T. (2009). The analysis and development of Taiwan's industrial logistics hubs. Paper presented at the Computer Supported Cooperative Work in Design, CSCWD 2009, 13th International Conference on.
Tseng, Y.-y., Yue, W. L., & Taylor, M. A. P. (2005). The role of transportation in logistics chain. Proceedings of the eastern Asia society for transportation studies, 5, 1657 - 1672.
Ueda, T., & Amatatsu, H. (2009). Determination of bounds in DEA assurance region method: its application to evaluation of baseball players and chemical companies. Journal of the Operations Research, 52 (4), 453-467.
Waal, A. D. (2003). Behavioral factors important for the successful implementation and use of performance management systems. [Case study]. Management Decision, 41(8), 688–697. doi: 10.1108/00251740310496206
Wisner, J., & Fawcett, S. (1991). Linking firm strategy to operating decisions through performance measurement. Production and Inventory Management Journal, 32(3), 5-11.
Wu, D., Zhang, Y., Wu, D., & Olson, D. L. (2009). Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach. European Journal of Operational Research, in press.
Xu, J. P., & Liu, Q. (2008). A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquor. Information Sciences, 178, 2022–2043.
Publication Year: 2013
Publication Date: 2013-08-01
Language: en
Type: dissertation
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