• No results found

TABLE 6 PRIMARY INITIAL SOURCE OF INFORMATION

Cumplimiento de gestión corporativa

DEPENDENCIA RESPONSABLE FECHA VERSIÓN REG.#

1 2 3 4 5 6 7 8 9 10

Período Indicador Meta

1er Trimestre 1 2do Trimestre 1 3er Trimestre 1 4to Trimestre 1 11 12 INDICADORES DE GESTIÓN F-DIRCAL-100-01 DIRECCIÓN PROCESO 00 04T GRÁFICAS DENOMINACIÓN DIRFAD DIRECCIONAMIENTO ESTRATÉGICO PRES DICIEMBRE 10 DE 2010

Cumplimiento de gestión corporativa

PROPÓSITO E INTERPRETACIÓN

Determinar la eficiencia en la ejecución de las actividades programadas

META ESPERADA Y PATRÓN DE COMPARACIÓN

CGC = 100%

PERIODICIDAD Y PERIODO DE LA MEDICIÓN ACTUAL

Trimestral

DATOS REQUERIDOS PARA LA MEDICIÓN

Numero de actividades ejecutadas, Numero de actividades programadas

CANTIDAD DE PROYECTOS EVALUADOS

N/A

DEFINICIÓN OPERACIONAL

CGC = (Numero de actividades ejecutadas/Numero de actividades programadas) * 100%

ANÁLISIS

ACCIONES TENDIENTES A MANTENER Y/O MEJORAR LOS RESULTADOS DATOS SUPERIORES A LO ESPERADO

Se demuestra gestión para la ejecución efectiva de las actividades programadas.

DATOS INFERIORES A LO ESPERADO

Se requiere mayor esfuerzo para garantizar el cumplimiento de las actividades programadas.

RESULTADOS Y CONSIDERACIONES 0% 20% 40% 60% 80% 100% 120%

1er Trimestre 2do Trimestre 3er Trimestre 4to Trimestre

Indicador Meta

Bibliografía

ABDUL, A. & NABI, M. The need for a new product development framework for engineer- to-order products. European Journal of Innovation Management, 6 (3), pp. 182-196, 2003. AGARWAL, A. & SHANKAR, R. Analysis alternatives for improvement in supply chain performance. Work Study, 51 (1), pp. 32-37, 2002.

AMMAR, S. & WRIGHT, R. Applying fuzzy-set theory to performance evaluation. Socio- Economic Planning Sciences, 34, pp. 285 -302, 2000.

ARANGO, M.D., URÁN, C.A. & PÉREZ, G. Aplicaciones de la lógica difusa a las cadenas de suministro. Revista Avances en Sistemas e Informática, 15 (3), pp. 51-60, 2008. ARANGO, M.D., PÉREZ, G. & ROJAS, M.D. Modelización de los indicadores de gestión en la cadena de suministro: una visión sistémica. Dyna, 156, pp. 19-28, 2008.

ARANGO, M.D., URÁN, C.A. & ALVAREZ, K.C. Modelos difusos aplicados a la planeación de la producción. Vol. 1. Medellín: Universidad Nacional de Colombia, 2009. 145 P.

BALLOU, R., GILBERT, S. & MUKHERJEE, A. new managerial challenges from supply chain opportunities. Industrial Marketing Management, 29, pp. 7–18, 2000.

BEAMON, B. Measuring supply chain performance. International Journal of Operations & Production Management, 19 (3), pp. 275-292, 1999.

BEAMON, B. Supply chain design and analysis: models and methods. International Journal of Production Economic, 55, pp. 281-294, 1998.

BEAMON, B. & CHEN, V. Performance analysis of conjoined supply chains. International Journal of Production Research, 39 (14), pp. 3195-3218, 2001.

BERRAH, L., MAURIS, G., HAURAT, A. & FOULLOY, L. Global vision and performance indicators for an industrial improvement approach. Computers in Industry, 43, pp. 211 – 225, 2000.

102 Medición del desempeño de cadenas de suministro de astilleros en condiciones de incertidumbre

BHAGWAT, R. & SHARMA, M. Performance measurement of supply chain management: a balanced scorecard approach. Computers & Industrial Engineering, 53, pp. 43–62, 2007.

BOBILLO, F., DELGADO, M., GÓMEZ-ROMERO, J. & LÓPEZ, E. A semantic fuzzy expert system for a fuzzy balanced scorecard. Expert Systems with Applications, 36, pp. 423–433, 2009.

BOJADZIEV, G. & BOJADZIEV, M. Fuzzy logic for business, finance and management. 2 ed. Singapore: World Scientific, 2007. 232 P.

BREWER, P. & SPEH, T. Using the balanced scorecard to measure supply chain performance. Journal of Business Logistics, 21 (1), pp. 75-93, 2000.

BÜYÜKÖZKAN, G., FEYZIOĞLU, O. & NEBOL, E. Selection of the strategic alliance partner in logistics value chain. International Journal of production Economics, 113, pp. 148 – 158, 2008.

CAI, J., LIU, X., XIAO, Z. & LIU, J. Improving supply chain performance management: a systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46, pp. 512 – 521, 2009.

CAPÓ-VICEDO, J., TOMÁS-MIQUEL, J. & EXPÓSITO-LANGA, M. La gestión del conocimiento en la cadena de suministro: análisis de la influencia del contexto organizativo. Información Tecnológica, 18 (1), pp. 127-135, 2007.

CHAN, F.T.S. Performance measurement in a supply chain. International Journal of Advanced Manufacturing Technology, 21, pp. 534-548, 2003.

CHAN, F.T.S. & QI, H.J. An innovative performance measurement method for supply chain management. Supply Chain Management: An International Journal, 8 (3-4), pp. 209-223, 2003.

CHAN, F.T.S., QI, H.J., CHAN, H.K., LAU, H. & IP, R. A conceptual model of performance measurement for supply chains. Management Decision, 41 (7), pp. 635 – 642, 2003. FOLAN, P. & BROWNE, J. A review of performance measurement: towards performance management. Computers in Industry, 56, pp. 663–680, 2005.

FRANCO-SANTOS, M., KENNERLEY, M., MICHELI, P., MARTÍNEZ, V., MASON, S. et al. Towards a definition of a business performance measurement system. International Journal of Operations & Production Management, 27 (8), pp. 784-801, 2007.

GEARY, S., CHILDERHOUSE, P. & TOWILL, D. Uncertainty and the seamless supply chain. Supply Chain Management Review, July-August, pp. 52-61, 2002.

GOSLING, J. & NAIM, M. Engineer-to-order supply chain management: a literature review and research agenda. International Journal of Production Economics, 122, pp. 741-754, 2009.

GRUAT LA FORME, F., BOTTA, V. & CAMPAGNE, J. A framework to analyze collaborative performance. Computers in Industry, 58, pp. 687 – 697, 2007.

GUNASEKARAN, A., PATEL, C. & MCGAUGHEY, R. A framework for supply chain performance measurement. International Journal of Production Economics, 87, pp. 333– 347, 2004.

GUNASEKARAN, A., PATEL, C. & TIRTIROGLU, E. Performance measures and metrics in a supply chain environment. International Journal of Production and Operations Management, 21 (1-2), pp. 71–87, 2001.

HAUSMAN, W.H. Supply chain performance metrics. In: HARRISON, T.P., LEE, H.L. & NEALE, J.J., The practice of supply chain management: where theory and application converge, Chap. 4. Springer: NewYork, 2005. 356 P.

HOEKSTRA, S. & ROMME, J. Integral logistics structures: developing customer oriented goods flow. London: McGraw-Hill, 1992.

HUANG, S.H., SHEORAN, S.K. & WANG, G. A review and analysis of supply chain operations reference (SCOR) model. Supply Chain Management: An International Journal, 9 (1), pp. 23-29, 2004.

HUGOS, M. Essentials of supply chain management. New Jersey: John Wiley & Sons, 2003. 254 P.

JANG, J-S., SUN, C-T. & MIZUTANI, E. Neuro-Fuzzy and soft computing. New Jersey: Prentice Hall, 1997. 640 P.

KANDA, A. & DESHMUKH, S.G. Coordination in supply chains: an evaluation using fuzzy logic. Production Planning & Control, 18 (5), pp. 420-435, 2007.

KAPLAN, R.S. & NORTON, D.P. The balanced scorecard – measures that drive performance. Harvard Business Review, 70 (1), pp. 71-79, 1992.

KASABOV, N. Foundations of neural networks, fuzzy systems, and knowledge engineering. 2 ed. Cambridge: The MIT Press, 1998. 581 P.

KAUFMANN, A. & GIL, J. Introducción de la teoría de los subconjuntos borrosos a la gestión de las empresas. 3 ed. Santiago de Compostela: Milladoiro, 1993. 252 P. KLIR, G. & YUAN, B. Fuzzy sets and fuzzy logic: theory and application. New Jersey: Prentice Hall, 1995. 574 P.

104 Medición del desempeño de cadenas de suministro de astilleros en condiciones de incertidumbre

LAI, K., NGAI, E.W.T. & CHENG, T.C.E. Measures for evaluating supply chain performance in transport logistics. Transportation Research Part E, 38, pp. 439 – 456, 2002.

LANCIONI, R. New developments in supply chain management for the millennium. Industrial Marketing Management, 29, pp. 1–6, 2000.

LANDERS, T., MENDOZA, A. & ENGLISH, J. Logistics metrics. Logistics Engineering Handbook, Chapter 4. Boca Ratón: CRC, 2008. 640 P.

LAU, H., PANG, W. & WONG, C. Methodology for monitoring supply chain performance: a fuzzy logic approach. Logistics Information Management, 15 (4), pp. 271 – 280, 2002. LEHTINEN, J. & AHOLA, T. Is performance measurement suitable for an extended enterprise?. International Journal of Operations & Production Management, 30 (2), pp. 181-204, 2010.

LING, CH., CHIU, H. & TSENG, Y. Agility evaluation using fuzzy logic. International Journal of Production Economics, 101, pp. 353 – 368, 2006.

LOHMAN, C., FORTUIN, L. & WOUTERS, M. Designing a performance measurement system: a case study. European Journal of Operational Research, 156, pp. 267-286, 2004.

MAKRIS, S., XANTHAKIS, D., MOURTZIS, G. & CHRYSSOLOURIS, G. On the information modeling for the electronic operation of supply chains: a maritime case study. Robotics and Computer-Integrated Manufacturing, 24, pp. 140–149, 2008.

MAMDANI, E.H. & ASSILIAN, S. An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7(1), pp. 1–13, 1975.

MASON-JONES, R. & TOWILL, D.R. Shrinking the supply chain uncertainty circle. Control, The Institute of Operations Management, 24 (7), pp. 17-22, 1999.

MIN, H. & ZHOU, G. Supply chain modeling: past, present and future. Computers & Industrial Engineering, 43, pp. 231 – 249, 2002.

MO, Y. & HARRISON, T. A conceptual framework for robust supply chain design under demand uncertainty. Supply Chain Optimization. Cap. 8. New York: Springer, 2005. pp. 243 - 263.

NAYLOR, J.B., NAIM, M.M. & BERRY, D. Leagility: integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 62 (1 - 2), pp. 107–118, 1999.

NEELY, A. The evolution of performance management research: developments in the last decade and a research agenda for the next. International Journal of Operations & Production Management, 25 (12), pp. 1264-1277, 2005.

NYHUIS, P. Fundamentals of production logistics: theory, tools and applications. 2 ed. Londres: Springer, 2007. 300 P.

OHDAR, R. & KUMAR, P. Performance measurement and evaluation of suppliers in supply chain: an evolutionary fuzzy-based approach. Journal of Manufacturing Technology Management, 15 (8), pp. 723 – 734, 2004.

OLHAGER, J. Strategic positioning of the order penetration point. International Journal of Production Economics, 85 (3), pp. 319–329, 2003.

PETROVIC, D., ROY, R. & PETROVIC, R. Supply chain modeling using fuzzy sets. International Journal of Production Economics, 59, pp. 443 – 453, 1999.

POPOVA, V. & SHARPANSKYKH, A. Modeling organizational performance indicators. Information Systems, 35, pp. 505 – 527, 2010.

ROSS, T. Fuzzy logic with engineering applications. 2 ed. West Sussex: John Wiley & Sons, 2004. 628 P.

SABRI, E. & BEAMON, B. A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega, 28, pp. 581 – 598, 2000.

SAMBASIVAN, N., NANDAN, T. & MOHAMED, Z. Consolidation of performance measures in a supply chain environment. Journal of Enterprise Information Management, 22 (6), pp. 660 – 689, 2009.

SERNA, H. Índices de gestión. Bogotá: 3R, 2001. 250 P.

SHEPHERD, C. & GÜNTER, H. Measuring supply chain performance: current research and future directions. International Journal of Productivity and Performance Management, 55 (3-4), pp. 242-258, 2006.

SILER, W. & BUCKLEY, J. Fuzzy expert systems and fuzzy reasoning. New Jersey: John Wiley & Sons, 2005. 405 P.

SILVA, C., SOUSA, J. & RUNKLER, T. Optimization of logistic systems using fuzzy weighted aggregation. Fuzzy Sets and Systems, 158, pp. 1947 – 1960, 2007.

SIMCHI-LEVI, D., KAMINSKY, P. & SIMCHI-LEVI, E. Designing and managing the supply chain: concepts, strategies and case studies. 3 ed. New York: McGraw-Hill, 2008. 498 P. SUGENO, M. & TAKAGI, T. Fuzzy identification of systems and its application to modelling and control. IEEE Trans. Syst. Man and Cybern., 15, pp.116–132, 1985.

106 Medición del desempeño de cadenas de suministro de astilleros en condiciones de incertidumbre

TODD, D. The world shipbuilding industry. Sydney: Taylor & Francis, 1985. 376 P.

TZAFESTAS, S., & KAPSIOTIS, G. Coordinated control of manufacturing/supply chains using multi-level techniques. Computer Integrated Manufacturing Systems, 7 (3), pp. 206 - 221, 1994.

VAN DER VORST, J. & BEULENS, A. Identifying sources of uncertainty to generate supply chain redesign strategies. International Journal of Physical Distribution and Logistics Management, 32 (6), pp. 409-430, 2002.

VARMA, S., WADHWA, S. & DESHMUKH, S.G. Implementing supply chain management in a firm: issues and remedies. Asia Pacific Journal of Marketing and Logistics, 18 (3), pp. 223–243, 2006.

WANG, W. A fuzzy linguistic computing approach to supplier evaluation. Applied Mathematical Modelling, 34, pp. 3130 – 3141, 2010.

WANG, Y. & BAI, D. Advanced fuzzy logic technologies in industrial applications. London: Springer, 2006. 334 P.

ZADEH, L. Fuzzy sets and their applications to cognitive and decision processes. London: Academic Press, 1975. pp. 2-79.

ZADEH, L. Is there a need for fuzzy logic?. Information Sciences, 178, pp. 2751 -2779, 2008.

ZADEH, L. The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8, pp. 199–249, 301–357, 1975.

ZIMMERMANN, H-J. Fuzzy set theory and its applications. 4 ed. Massachusetts: Kluwer Academic, 2001. 544 P.

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