LA LOGÍSTICA INTERNACIONAL Y SU IMPACTO EN LA EFICIENCIA DE LA CADENA DE SUMINISTRO EN MAQUILADORAS DE CIUDAD JUÁREZ

Julio Blanco Fernández, Jorge Luis García Alcaraz, Liliana Avelar Sosa, Aidé Araceli Maldonado Macías, Ismael Canales Valdivieso

Resumen


Ciudad Juárez es una ciudad fronteriza del estado de Chihuahua, México y por su cercanía con los Estados Unidos de América, muchas empresas manufactureras se han establecido en sus inmediaciones, a las cuales se les llama comúnmente maquiladoras. Estas empresas importan materia prima y casi siempre fabrican el producto en México y lo exportan a diferentes países, por lo que la logística con un enfoque internacional y el abastecimiento son factores clave del éxito para las mismas. En la actualidad existen investigaciones que mencionan esa importancia, pero no existen modelos explicativos entre las variables, en las que se asocien la logística y abastecimiento con los índices de desempeño de la cadena de suministro de la cual forman parte, por lo que en este artículo se reporta un modelo de ecuaciones estructurales que busca vincular el impacto de las logística nacional e internacional y el abastecimiento con los índices de desempeño de la cadena de suministro para las industrias maquiladoras establecidas en Ciudad Juárez, Chihuahua, México.

Palabras clave


Logística internacional; análisis causal; cadena de suministro; desempeño

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Referencias


Aksoy, A. Öztürk, N. (2011). Supplier selection and performance evaluation in just-in-time production environments. Expert Systems with Applications, 38(5): 6351-6359.

AMAC (Asociación de Maquiladoras A.C.) (2012). (En línea):

http://www.slideshare.net/elperrote/juarez-amac-datos-estadisticos (Consultado) Marzo 10, 2012.

Babak, J.N. y Saeid, I. (2012). Analyzing effective elements in agile supply chain. Management Science Letters. 24: 369-378.

Beamon, B.M. (1998). Supply chain design and analysis: models and methods. International Journal of Production Economics. 55(3):281–294.

Beamon, B.M. (1999). Measuring supply chain performance. International Journal of Operations & Production Management. 19(3): 275–292.

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107: 238-246.

Bititci, U.S. (1995). Modeling of performance measurement systems in manufacturing enterprises. International Journal of Production Economics. 42(2): 137–147.

Bititci, U.S. Mendibil, K. Albores, P. Martinez, M. (2005). Measuring and managing performance in collaborative enterprises, International Journal of Operations and Production Management, 25(4): 333–353.

Blanchard, D. (2010). Supply Chain Management Best Practices, 2nd. Edition, John Wiley & Sons.

Blome, C. y Schoenherr, T. (2011). Supply chain risk management in financial crises: a multiple case-study approach. International Journal of Productions Economics, 134(1): 43-57.

Bollen, K.A. Liang, J. (1988). Some properties of Hoelter’s CN. Sociological Methods and Research, 16: 492-503.

Browne, M.W. y Cudeck, R. (1989). Single sample cross-validation indices for covariance structures. Multivariate Behavioral Research, 24: 445-455.

Byrne, B. (1989). Structural Equation Modeling with Amos: Basic Concepts, Applications, and Programming, Lawrence Erlbaum Associates, New Jersey, USA.

Carmines, E.G. McIver, J.P. (1981). Analyzing models with unobserved variables. En Bohrnstedt, G.W. y Borgatta, E.F. (eds.) Social measurement: Current issues. Beverly Hills: Sage.

Cirtita, H. and Glaser-Segura, D. A. (2012). Measuring downstream supply chain performance. Journal of Manufacturing Technology Management, 23(2): 299-314.

Cochran, W.G. (1952). The c2 test of goodness of fit. Annals of Mathematical Statistics, 23: 315–345.

Cooper, M. Lambert, D. Pagh, J. (1997). Supply chain management: more than a new name for logistics. The International Journal of Logistics Management 8(1): 1–14.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika. 16(3): 297-334.

Cruz, J.M. (2009). The impact of corporate social responsability in supply chain management: multicriteria decisión-making approach. Decision Support Systems. 48:224-236.

DaeSoo, K. (2006). Process chain: A new paradigm of collaborative commerce and synchronized supply chain. Kelly School of Business. 49: 359-367.

Denneberg, D. Grabisch, M. (2004). Measure and integral with purely ordinal scales. Journal of Mathematical Psychology. 48 (1): 15-27.

Dorling, K. Scott, J. Deakins, E. (2006). Determinants of successful

vendor managed inventory relationships in oligopoly industries. International Journal of Physical Distribution & Logistics Management. 36(3): 176-191.

Estampe, D. Lamouri, S. Paris, J. L. Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics. 142 (2): 247-258.

Falk, H. y Hogström, L. (2000). Key success factors for a functioning supply chain in e-commerce B2B. Master Thesis.

Feng, Y. (2012). System dynamics modeling for supply chain information sharing. Physics Procedia, 25: 1463-1469.

Folan, P. Browne, J. (2005). A review of performance measurement: towards performance management. Computers in Industry, 56(7): 663–680.

Forrester, J.W. (1969). Industrial Dynamics. Portland (OR): Productivity Press.

Ghodsypour SH, O’Brien C (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics. 56/57(1): 199-212.

Green Jr. K. W. Whitten, D. Inman, R. A. (2012). Aligning marketing strategies throughout the supply chain to enhance performance. Industrial Marketing Management, 41(6): 1008-1018.

Gulliksen, H. y Tukey, J.W. (1958). Reliability for the law of comparative judgment. Psychometrika, 23: 95-110.

Gunasekaran, A. and Ngai, E.W.T. (2004). Virtual supply chain management. Production Planning and Control, 15(6): 584-595.

Gunasekaran, A. and Ngai, E. W. T. (2009). Modeling and analysis of built-to-order supply chains. European Journal of Operational Research, 195: 319-334.

Gunasekaran, A. Patel, C. McGauhhey, R.E. (2004). A framework for supply chain performance measurement. International Journal of Productions Economics, 87: 333-347.

Gunasekaran, A. Patel, C. Tirtiroglu, E. (2001). Performance Measures and Metrics in a Supply Chain Environment. International Journal of Operations & Production Management, 21(1,2): 71-87.

Hoelter, J.W. (1983). The analysis of covariance structures: Goodness-of-fit indices. Sociological Methods and Research, 11: 325-344.

Huang, M. Yang, M. Zhang, Y. Liu, B. (2012). System dynamics modeling-based study of contingent sourcing under supply disruptions.

Systems Engineering Procedia, 4: 290-297.

INEGI. (2011). Anuario Estadístico Nacional. Instituto Nacional de Estadística, Geografía e Informática.

Jöreskog, K.G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34: 183–202.

Jöreskog, K.G. Sörbom, D. (1989). LISREL-7 user’s reference guide. Mooresville, IN: Scientific Software.

Kannan, V.R. y Tan, K.C. (2010). Supply chain integration: cluster analysis of the impact of span of integration. Supply Chain Management: an International Journal, 15(3): 207-215.

Kaplan, R. Norton, D. (1996). Linking the balanced score card to strategy. California Management Review, 39(1):53–79.

Khaji, M. y Shafaei, R. (2011). A system dynamics approach for strategic partnering in supply networks. International Journal of Computer Integrated Manufacturing, 24(2): 106-125.

Kroes, J. R. (2007). Outsourcing of supply chain processes: evaluating the impact of congruence between outsourcing drivers and competitive priorities on performance. Georgia Institute of Technology, Ph. Thesis.

Kumar, S. McCreary, M. L. and Nottestad, D. A. (2011). Quantifying supply chain trade-offs using six sigma, simulation, and designed experiments to develop a flexible distribution network. Quality Engineering, 23: 180-203.

Likert, R. (1932). A Technique for the measurement of attitudes, Archives of Psychology, 22(140): 1-55.

Lockamy III, A. y McCormack, K. (2004a). Linking SCOR planning practices to supply chain performance: an exploratory study.

International Journal of Operations & Production Management, 24(12): 1192-1218.

Lockamy III, A. y McCormack, K. (2004b). The development of a supply chain management process maturity model using the concepts of business process orientation. Supply Chain Management: An International Journal 9(4): 272–278.

Lu, C.S. Lai, K.H. Chen, T.C.E. (2007). Application of structural equation modeling to evaluate the intention of shippers to use internet services in linear shipping. European Journal of Operational Research, 180: 845-867.

Marsh, H.W. Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First- and higher-order factor models and their invariance across groups, Psychological Bulletin, 97: 562–582.

McCormack, K. Bronzo, M.L. Valadares, M.P. (2008). Supply chain maturity and performance in Brazil. Supply Chain Management: an International Journal, 13(4): 272-282.

McDonald, R. P. y Marsh, H. W. (1990). Choosing a multivariate model: Noncentrality and goodness of fit. Psychological Bulletin, 107: 247-255.

Meixell, M.J. y Gargeya, V.B. (2005). Global supply chain design: A literature review and critique. Transportation research part E, 41:531-550.

Merschmann, U. y Thonemann, U.W. (2011). Supply chain flexibility, uncertainty and form performance: an empirical analysis of German manufacturing firms. International Journal of Productions Economics, 130: 43-53.

Neely, A. Gregory, M. Platts, K. (1995). Performance measurement system design. International Journal of Operations & Production Management, 15(4): 80–116.

Ngai E.W.T. Chau, D.C.K. Chan, T.L.A. (2011). Information technology, operational, and management competencies for supply chain agility: Findings from case studies. Journal of Strategic Information Sytems. 20(3): 232-249.

Perotti, S. Zorzini, M. Cagno, E. Micheli, G. J. L. (2012). Green supply chain practices and company performance: the case of 3PLs in Italy. International Journal of Physical Distribution & Logistics Management, 42(7): 640 – 672.

Pollandt, S. y Wille, R. (2005). Functorial scaling of ordinal data, Discrete Applied Mathematics, 147(1): 101-111.

Power, D. (2005). Supply chain management integration and implementation: a literature review. Supply Chain Management: an International Journal, 10(4): 252-263.

Quesada, H. y Gazo, R. (2007). Methodology for determining key internal business processes based on critical success factors. Business Process Management Journal, 13(1): 5-20.

Ramanathan, U. y Gunasekaran, A. (2012). Supply chain collaboration: Impact of success in long-term partnerships. International Journal of Production Economics, in press.

Ranganathan, C., Teo, T. S. H. and Dhaliwal, J. (2011). Web-enabled supply chain management: Key antecedents and performance impacts. International Journal of Information Management, 31(6): 533-545.

Ribas, I. y Companys, R. (2007). Estado del arte de la planificación colaborativa en la cadena de suministro: contexto determinista e incierto. Intangible capital, 3(003): 91-121.

Schotanus, F. Telgen, J. De Boer, L. (2010). Critical success factors for managing purchasing groups. Journal of Purchasing and Supply Management, 16: 51-60.

SCOR. 2010. http://www.supply-chain.org.

Shuangqin, L. (2010). Study on the supply chain management of global companies. International Conference on E-Business and E-Government, 3297 – 3301.

Singh, R. Singh S.H. Metri, B.A. and Kaur, R. (2011). Organizational performance and retail challenges: a structural equation approach. Scientific Research, 3: 159-168.

Soin, S.S. (2004). Critical success factors in supply chain management at high technology companies. University of Southern Queensland, Australia, PhD. Thesis.

Steiger, J.H. Lind, J.C. (1980). Statistically-based tests for the number of common factors. Annual Spring Meeting of the Psychometric Society, Iowa City.

Su, Y. y Yang, C. (2010a). A structural equation model for analyzing the impact of ERP on SCM. Expert Systems with Applications, 31(1): 456-469.

Su, Y. y Yang, C. (2010b). Why are enterprise resource planning systems indispensable to supply chain management? European Journal of Operational Research, 203: 81-94.

Tanaka, J.S. Huba, G.J. (1985). A fit index for variance structure models under arbitrary GLS estimation, British Journal of Mathematical and Statistical Psychology, 38: 197-201.

Tang, O. y Musa, N. (2011). Identifying risk and research

advancements in supply chain risk management. International Journal of Production Economics, 133: 25-34.

Tastle, W.J. y Wierman, M.J. (2007). Consensus and dissention: A measure of ordinal dispersion. International Journal of Approximate Reasoning, 45 (3): 531-545.

Teller, C. Kotzab, H. Grant, D.B. (2011). Improving the execution of

supply chain management in organizations. International Journal of Production Economics, 140(2): 713-720.

Wheaton, B. Muthén, B. Alwin, D.F. Summers, G.F. (1977). Assessing reliability and stability in panel models. En: Heise, D.R. (ed.) Sociological methodology 1977. San Francisco: Jossey-Bass, 84-136.

Whitten, G.D. Green Jr., K.W. and Zelbst, P. J. (2012). Triple-A supply chain performance. International Journal of Operations & Production Management, Vol. 32, No.1, pp. 28-48.

Wiengarten, F., Pagell, M., Fynes B. (2012), Supply chain environmental investments in dynamic industries: Comparing investment and performance differences with static industries. International Journal of Production Economics, 135: 541-551.

Wu, C.H. Chen, C.W. Hsieh, C.C. (2012). Competitive pricing decisions in a two-echelon supply chain with horizontal and vertical competition. International Journal of Production Economics, 135 (1): 265-274.

Young, R.R. y Esqueda, P. (2005). Supply Chain Vulnerability: considerations of the case of Latin America, Revista Latinoamericana de Administración, 34: 63-77.

Zhou, H. (2003). The role of supply chain processes and information sharing in supply chain management. The Ohio State University, Ph. Thesis.


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