Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model
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This paper presents an alternative approach to evaluating the overall efficiency and performance of Taiwanese container ports. Specifically, a parallel activity with series structure concept in the form of data envelopment analysis (MNDEA) is used to construct a model that applies to three different activities: harbor management, stevedoring and warehousing operations. We will further divide each activity into two process types, production processes and services processes. We will also adopt a Delphi survey approach and use the Analytic Network Process (ANP) to identify these processes’influence dependence and their degree of importance for the MNDEA model setting. An empirical application demonstrates the performance of Taiwanese container ports by using MNDEA with window analysis techniques via the directional distance function.The results demonstrate that the application is effective in indicating and/or suggesting resource-adjustments, while considering which undesirable output levels and shared inputs were involved. The results also present directions for possible improvements in workplace efficiency.
Abstract
This paper presents an alternative approach to evaluating the overall efficiency and performance of Taiwanese container ports. Specifically, a parallel activity with series structure concept in the form of data envelopment analysis (MNDEA) is used to construct a model that applies to three different activities: harbor management, stevedoring and warehousing operations. We will further divide each activity into two process types, production processes and services processes. We will also adopt a Delphi survey approach and use the Analytic Network Process (ANP) to identify these processes’influence dependence and their degree of importance for the MNDEA model setting. An empirical application demonstrates the performance of Taiwanese container ports by using MNDEA with window analysis techniques via the directional distance function.The results demonstrate that the application is effective in indicating and/or suggesting resource-adjustments, while considering which undesirable output levels and shared inputs were involved. The results also present directions for possible improvements in workplace efficiency.
참고문헌 (37)
- Barros, C.P., "Incentive Regulation and Efficiency of Portuguese Port Authorities", Maritime Economics & Logistics, 5(1), pp.55~69 (2003)
- Barros, C.P., "The Measurement of Efficiency of Portuguese Seaport 26 Authorities with DEA", International Journal of Transport Economics, 30(3), pp.335~354 (2003)
- Barros, C.P., "Efficiency in European Seaports with DEA: Evidence from Greece and Portugal", Maritime Economics & Logistics, 6, pp.122~140 (2004)
- Barros, C. P., "A Benchmark Analysis of Italian Seaport Using Data Envelopment Analysis", Maritime Economics and Logistics, 8, pp.347~365 (2006)
- Funciones de producción y costes y su aplicación al sector portuario, "Beatriz Tovar de la Fe", Facultad de Ciencias Económicas de la ULPGC, ~, pp.ULL-ULPGC 2004-06 (2004)
- Bendall, H., "On Measuring Cargo Handling Productivity", Maritime Policy & Management, 14(4), pp.337~343 (1987)
- Charnes, A., "A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in U. S. Air Forces", Annals of Operational Research, 2, pp.95~112 (1985)
- Chung, Y. H., "Productivity and Undesirable Outputs: A Directional Distance Function Approach", Journal of Environmental Management, 51, pp.229~240 (1997)
- Chung, C.C., "Analysis on Vessel Registration and Operational Performance of Bulk-shipping", Proceedings of the eastern Asia society for transportation studies, 5, pp.631~646 (2005)
- Coto Millan, P., "Economic Efficiency in Spanish Ports: Some Empirical Evidence", Maritime Policy & Management, 27(2), pp.169~175 (2000)
- Cullinane, K., "A Stochastic Frontier Model of the Productive Efficiency of Korean Container Terminals", Applied Economics, 35, pp.251~267 (2003)
- Cullinane, K, "A Stochastic Frontier Model of the Efficiency of Major Container Terminals in Asia: Assessing the Influence of Administrative and Ownership Structures", Transportation Research Part A, 36, pp.743~762 (2002)
- Cullinane, K., "An Application of DEA Windows Analysis to Container Port Production Efficiency", Review of Network Economics, 3(2), pp.184~206 (2004)
- Cullinane, K. P. B., "A Stochastic Frontier Model of the Efficiency of Major Container Terminals in Asia: assessing the influence of administrative and ownership structures", Transportation Research Part A, (36), pp.734~762 (2002)
- Cullinane, K, "The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency", Journal of Productivity Analysis, 24, pp.73~92 (2005)
- Estache, A., "Sources of efficiency gains in port reform: A DEA decomposition of a Malmquist index for México", Utility Policy, 30(4), pp.221~230 (2004)
- Estache, A., "Efficiency Gains from Port Reform and the Potential for Yardstick Competition: Lessons from Mexico", World Development, 30(4), pp.545~560 (2002)
- Estache, A., "Efficiency Gains from Port Reforms and the Potential for yardstick Competition: Lessons from Mexico", World Development, 30(4), pp.545~560 (2001)
- Itoh, H., "Efficiency changes at major container ports in Japan: Awindow application of DEA", Rurds, 14, pp.133~152 (2002)
- Liu, Z., "The Comparative Performance of Public and Private Enterprises: The Case of British Ports", Journal of Transport Economics and Policy, 29(3), pp.263~274 (1995)
- Lovell, C.A.K, "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries", European Journal of Operation Research, 87, pp.507~518 (1995)
- Leibenstein, H., "Empirical Estimation and Partitioning of X-inefficiency: A Data Envelopment Approach", American Economic Review, 82, pp.428~433 (1992)
- Mar Molinero, C., "On the joint determination of efficiencies in a data envelopment analysis context", The Journal of the Operational Research Society, 47(10), pp.1279~1279 (1996)
- Notteboom, T., "Measuring and explaining the relative efficiency of container terminals by means of Bayesian stochastic frontier models", Journal of Maritime Economics and Logistics, 2(2), pp.83~106 (2000)
- Park, R.K., "An Alternative Approach to Efficiency Measurement of Seaports", Maritime Economics and Logistics, 6(1), pp.53~69 (2004)
- Pastor, J.T., "An enhanced Russell graph efficiency measure", European Journal of Operational Research, 115, pp.596~607 (1999)
- Roll Y., "Port Performance Comparison Applying Data Envelopment Analysis (DEA)", Maritime Policy and Management, 20(2), pp.153~161 (1993)
- Tzeng, G. H., "Multi-criteria Analysis of Alternative-fuel Buses for Public Transportation", Energy Policy, 33, pp.1373~1383 (2005)
- Tzeng, G. H., "optimal fuzzy multi-criteria expansion of competence sets using multi-objectives evolutionary algorithm", Expert Systems with Applications, 30, pp.739~745 (2006)
- Tongzon, J., "Determinants of port performance and efficiency", Transportation Research, 29A(3), pp.245~252 (1995)
- Tongzon, J., "Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals)", Transportation Research Part A Policy and Practice, 39, pp.405~424 (2005)
- Tongzon Jose, "Efficiency Measurement of selected Australian and other international ports using data DEA,Transportation Research Part A", Policy and Practice, 35(2), pp.113~128 (2001)
- Thanassoulis, E., "Estimating Preferred Target Input-Output Levels using Data Envelopment Analysis", European Journal of Operational Research, 56, pp.80~97 (1992)
- Valentine V.F., "The measurement of port efficiency using data envelopment analysis", Proceeding of the Ninth World Conference on Transport Research (2001)
- Valentine, V.F, "An Organizational Approach to Port Efficiency", IAME 2002 (2002)
- Wang T., "Container Port Production Efficiency: A Comparative Study of DEA and FDH Approach", Journal of the Eastern Asia Society for Transportation Studies, 5, pp.698~713 (2003)
- Yu, M. M., "Efficiency and Effectiveness in Railway Performance Using a Multi-activity Network DEA Model, OMEGA", The International Journal of Management Science, 36(6), pp.1005~1017 (2008)