<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1665-6423</journal-id>
<journal-title><![CDATA[Journal of applied research and technology]]></journal-title>
<abbrev-journal-title><![CDATA[J. appl. res. technol]]></abbrev-journal-title>
<issn>1665-6423</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-64232013000300004</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cedillo-Campos]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Ramírez]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Autónoma de Nuevo León Department of Logistics and Supply Chain Management ]]></institution>
<addr-line><![CDATA[San Nicolás de los Garza Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Instituto Tecnológico de Orizaba Division of Research and Postgraduate Studies ]]></institution>
<addr-line><![CDATA[Orizaba Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2013</year>
</pub-date>
<volume>11</volume>
<numero>3</numero>
<fpage>338</fpage>
<lpage>347</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-64232013000300004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-64232013000300004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-64232013000300004&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[A dynamic self-assessment of performance on supply chains operating in emerging markets is proposed. Based on well-established key performance indicators (KPI), this paper provides a decision support aid. Although it has been validated in the automotive industry, the standardized model's approach makes it applicable to other industries. It is the result of a large literature review and identification of best practices from the automotive industry in which the lack of dynamic tools to evaluate logistics performance of suitable supply chains to the current competitive exchange rate was detected. Developed under a system dynamics approach (DS), the model analyzes different scenarios taking into account KPI and its dynamic relationships. The results obtained were validated through the statistical technique of design of experiments (DOE). This model also considers the specific features of the automotive operations in emerging countries as well as their importance in the future development of the manufacturing industry. In this context, the tool exposed is a key backup to decision making and to dynamically evaluate the variables with major influence on manufacturing supply chains. As a conclusion, findings are discussed and future researches are presented.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Se propone un modelo para la autoevaluación dinámica del desempeño de cadenas de suministro operando en mercados emergente. Con base en indicadores de desempeño ampliamente establecidos en las operaciones industriales, se expone una herramienta de ayuda a la toma de decisiones. Aunque ha sido validado en el contexto de la industria automotriz, su enfoque estandarizado hace que sea aplicable a otras industrias. El modelo es el resultado de una amplia revisión de la literatura y de prácticas de la industria en donde se detectó la falta de herramientas dinámicas para evaluar el desempeño de las cadenas de suministro adecuadas a la evolución competitiva actual. El modelo, desarrollado bajo un enfoque de dinámica de sistemas (DS), analiza diferentes escenarios, teniendo en cuenta las variables dinámicas. Los resultados obtenidos fueron validados a través de la técnica de diseño de experimentos (DE). Este modelo también considera las características específicas de las operaciones automotrices en países emergentes, así como la importancia de estos mercados en el desarrollo futuro de la industria automotriz. En este contexto, la herramienta expuesta es un soporte clave para la toma de decisiones y para evaluar de forma dinámica las variables con mayor influencia en las cadenas de suministro automotrices. Como conclusión, los resultados son discutidos al mismo tiempo que se presentan futuras investigaciones.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[supply chain]]></kwd>
<kwd lng="en"><![CDATA[performance measurement]]></kwd>
<kwd lng="en"><![CDATA[system dynamics]]></kwd>
<kwd lng="en"><![CDATA[automotive industry]]></kwd>
<kwd lng="en"><![CDATA[emerging markets]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  	    <p align="center"><font face="verdana" size="4"><b>Dynamic Self&#45;Assessment of Supply Chains Performance: an Emerging Market Approach</b></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="center"><font face="verdana" size="2"><b>M. Cedillo&#45;Campos*<sup>1</sup>, C. S&aacute;nchez&#45;Ram&iacute;rez<sup>2</sup></b></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><i><sup>1</sup> Department of Logistics and Supply Chain Management Universidad Aut&oacute;noma de Nuevo Le&oacute;n (UANL) Av. Universidad s/n. Ciudad Universitaria, C.P. 6645 San Nicol&aacute;s de los Garza, Nuevo Le&oacute;n, Mexico.</i> *<a href="mailto:hpl@fotech.edu.tw">gaston.cedillo@mexico&#45;logistico.org</a>.</font></p>  	    <p align="justify"><font face="verdana" size="2"><i><sup>2</sup> Division of Research and Postgraduate Studies Instituto Tecnol&oacute;gico de Orizaba Av. Oriente 9, 852. Col Emiliano Zapata C.P. 94320 Orizaba, Veracruz, Mexico.</i></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>ABSTRACT</b></font></p>  	    <p align="justify"><font face="verdana" size="2">A dynamic self&#45;assessment of performance on supply chains operating in emerging markets is proposed. Based on well&#45;established key performance indicators (KPI), this paper provides a decision support aid. Although it has been validated in the automotive industry, the standardized model's approach makes it applicable to other industries. It is the result of a large literature review and identification of best practices from the automotive industry in which the lack of dynamic tools to evaluate logistics performance of suitable supply chains to the current competitive exchange rate was detected. Developed under a system dynamics approach (DS), the model analyzes different scenarios taking into account KPI and its dynamic relationships. The results obtained were validated through the statistical technique of design of experiments (DOE). This model also considers the specific features of the automotive operations in emerging countries as well as their importance in the future development of the manufacturing industry. In this context, the tool exposed is a key backup to decision making and to dynamically evaluate the variables with major influence on manufacturing supply chains. As a conclusion, findings are discussed and future researches are presented.</font></p>  	    ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><b>Keywords:</b> supply chain, performance measurement, system dynamics, automotive industry, emerging markets.</font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>RESUMEN</b></font></p>  	    <p align="justify"><font face="verdana" size="2">Se propone un modelo para la autoevaluaci&oacute;n din&aacute;mica del desempe&ntilde;o de cadenas de suministro operando en mercados emergente. Con base en indicadores de desempe&ntilde;o ampliamente establecidos en las operaciones industriales, se expone una herramienta de ayuda a la toma de decisiones. Aunque ha sido validado en el contexto de la industria automotriz, su enfoque estandarizado hace que sea aplicable a otras industrias. El modelo es el resultado de una amplia revisi&oacute;n de la literatura y de pr&aacute;cticas de la industria en donde se detect&oacute; la falta de herramientas din&aacute;micas para evaluar el desempe&ntilde;o de las cadenas de suministro adecuadas a la evoluci&oacute;n competitiva actual. El modelo, desarrollado bajo un enfoque de din&aacute;mica de sistemas (DS), analiza diferentes escenarios, teniendo en cuenta las variables din&aacute;micas. Los resultados obtenidos fueron validados a trav&eacute;s de la t&eacute;cnica de dise&ntilde;o de experimentos (DE). Este modelo tambi&eacute;n considera las caracter&iacute;sticas espec&iacute;ficas de las operaciones automotrices en pa&iacute;ses emergentes, as&iacute; como la importancia de estos mercados en el desarrollo futuro de la industria automotriz. En este contexto, la herramienta expuesta es un soporte clave para la toma de decisiones y para evaluar de forma din&aacute;mica las variables con mayor influencia en las cadenas de suministro automotrices. Como conclusi&oacute;n, los resultados son discutidos al mismo tiempo que se presentan futuras investigaciones.</font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><a href="/pdf/jart/v11n3/v11n3a4.pdf" target="_blank">DESCARGAR ART&Iacute;CULO EN FORMATO PDF</a></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><b><i>References</i></b></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;1&#93; Deloitte (2010). A New Era, Accelerating Toward 2020&#45; An Automotive Industry Transformed. &#91;Available Online&#93;: &lt;<a href="http://www.deloitte.com/assets/DcomGlobal/Local%20Assets/Documents/A%20New%20Era_Online_final.pdf" target="_blank">http://www.deloitte.com/assets/DcomGlobal/Local%20Assets/Documents/A%20New%20Era_Online_final.pdf</a>&gt;. &#91;Accessed February 9, 2012&#93;    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872676&pid=S1665-6423201300030000400001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref -->.</font></p>  	    ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="verdana" size="2">&#91;2&#93; OICA &#45; The International Organization of Motor Vehicle Manufacturers (2010). Production Statistics. &#91;Available Online&#93;: &lt;<a href="http://oica.net/category/production-statistics/2010statistics/" target="_blank">http://oica.net/category/production&#45;statistics/2010statistics/</a>&gt;. &#91;Accessed December 15, 2012&#93;    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872678&pid=S1665-6423201300030000400002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref -->.</font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;3&#93; Humphrey, J. and Memedovic, O. (2003). The Global Automotive Industry Value Chain: What Prospects for Upgrading by Developing Countries. United Nations Industrial Development Organization. &#91;Availabre Online&#93;: &lt;<a href="http://www.unido.org/fileadmin/media/documents/pdf/Services_Modules/Automotive_Industry.pdf" target="_blank">http://www.unido.org/fileadmin/media/documents/pdf/Services_Modules/Automotive_Industry.pdf</a>&gt;. &#91;Accessed June 9, 2010&#93;    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872680&pid=S1665-6423201300030000400003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref -->.</font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;4&#93; Mukherjee, A. and Sastry, T. (1996). Automotive Industry in Emerging Economies: A Comparison of South Korea, Brazil, China and India. Economic and Political Weekly. Vol. 31, No. 48. pp: M75&#45;M78.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872682&pid=S1665-6423201300030000400004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;5&#93; Langley, J. (2012). Third&#45;Party Logistics Study. Capgemini. &#91;Available Online&#93;: &lt;<a href="http://www.3plstudy.com/" target="_blank">www.3plstudy.com/</a>&gt;. &#91;Accessed June 28, 2012&#93;    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872684&pid=S1665-6423201300030000400005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref -->.</font></p>      <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;6&#93; Meyr, H. (2004). Supply Chain Planning in the German Automotive Industry. Vol. OR Spectrum, Vol. 26, pp. 447&#45;470.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872686&pid=S1665-6423201300030000400006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="verdana" size="2">&#91;7&#93; Wagner, S. and Silveira&#45;Camargos, V. (2011). Decision model for the application of just&#45;in&#45;sequence. International Journal of Production Research, Vol. 49, No. 19, 1 October, pp. 5713&#45;5736.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872688&pid=S1665-6423201300030000400007&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;8&#93; Cedillo&#45;Campos, M. (2012). Supply Chain Clustering: the next step of industrial competitiveness. Council of Supply Chain Management Professionals Conference, CSCMP&#45;Roundtable Mexico. Mexico City, Mexico.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872690&pid=S1665-6423201300030000400008&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;9&#93; Saxenian, A. (1994). Regional Advantage: Culture and Competition in Silicon Valley and Route 128. Harvard University Press, U.S.A.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872692&pid=S1665-6423201300030000400009&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;10&#93; Cedillo&#45;Campos, M. and P&eacute;rez&#45;Araos, A. (2010). Hybrid supply chains in emerging markets: the case of the Mexican auto industry, South African Journal of Industrial Engineering, May, Vol. 21, No.1, pp. 193&#45;206.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872694&pid=S1665-6423201300030000400010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;11&#93; Bhatnagar, R. and Sohal, A. (2005). Supply Chain Competitiveness: Measuring the Impact of Location Factor, Uncertainty and Manufacturing Practices. Technovation. No. 25. p.p. 443&#45;456.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872696&pid=S1665-6423201300030000400011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="verdana" size="2">&#91;12&#93; Rodrigue, J.&#45;P. (2012). The Geography of Global Supply Chains: Evidence from Third Party Logistics. Journal of Supply Chain Management, Special Issue on "Global Sourcing: Other Voices", Vol. 48, No. 3, pp. 15&#45;23.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872698&pid=S1665-6423201300030000400012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;13&#93; SCD &#45; Supply Chain Digest (2011). Supply Chain News: New Study from Boston Consulting Finds China Manufacturing Cost Advantage Over US to Disappear by 2015. &#91;Available Online&#93; &lt;<a href="http://www.scdigest.com/ontarget/11-06-06-1.php?cid=4609" target="_blank">http://www.scdigest.com/ontarget/11&#45;06&#45;06&#45;1.php?cid=4609</a>&gt; &#91;Accessed June 28, 2012&#93;    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872700&pid=S1665-6423201300030000400013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref -->.</font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;14&#93; SCD &#45; Supply Chain Digest (2012). Supply Chain News: New Study from Boston Consulting Group Says 50% of Large US Manufacturers will or Are Considering Returning at Least Some Production Back to the US. &#91;Available Online&#93; &lt;<a href="http://www.scdigest.com/ontarget/1204-25-1.php?cid=5772&ctype=content" target="_blank">http://www.scdigest.com/ontarget/1204&#45;25&#45;1.php?cid=5772&amp;ctype=content</a>&gt; &#91;Accessed June 28, 2012&#93;    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872702&pid=S1665-6423201300030000400014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;15&#93; Cedillo&#45;Campos, M., S&aacute;nchez, J. and S&aacute;nchez, C. (2006). The new relational schemas of inter&#45;firms cooperation: The case of the Coahuila automobile cluster in Mexico. International Journal of Automotive Technology and Management, Vol. 6, pp. 406&#45;418.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872704&pid=S1665-6423201300030000400015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;16&#93; Bhatnagar, R. and Sohal, A. (2005). Supply chain competitiveness: Measuring the impact of location factor, uncertainty and manufacturing practices. Technovation, Vol. 25, pp. 443&#45;456.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872706&pid=S1665-6423201300030000400016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="verdana" size="2">&#91;17&#93; Duggan, J. (2008). Using System Dynamics and Multiple Objective Optimization to Support Policy Analysis for Complex Systems. In H. Qudrat&#45;Ullah, J. M. Spector, P. I. Davidsen (Eds.), Understanding complex systems. Springer, New York. pp. 59&#45;81.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872708&pid=S1665-6423201300030000400017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;18&#93; Knemeyer, A.M., Zinn W., Eroglu, C. (2009). Proactive Planning for catastrophic events in supply chains. Journal of Operations Management (27), 141&#45;153.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872710&pid=S1665-6423201300030000400018&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;19&#93; S&aacute;nchez, C., Cedillo&#45;Campos, M., P&eacute;rez, P., Mart&iacute;nez, J. (2011). Global Economic Crisis and Mexican Automotive Suppliers: Impacts on the Labor Capital. SIMULATION. Special Issue: Advances of Modeling &amp; Simulation in Supply Chain and Industry, Jan., Vol 87, No. 8, pp.711&#45;725. ISSN: 0037&#45;5497.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872712&pid=S1665-6423201300030000400019&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;20&#93; Chopra, S., Meindl, P. (2012). Supply Chain Management. 5th Edition. Prentice Hall.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872714&pid=S1665-6423201300030000400020&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;21&#93; Waters, D. (2003). Logistics&#45; An Introduction to Supply Chain Management. Palgrave Mcmillan. New York.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872716&pid=S1665-6423201300030000400021&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="verdana" size="2">&#91;22&#93; Forrester, J. (1961). Industrial Dynamics. Editorial Pegasus.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872718&pid=S1665-6423201300030000400022&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;23&#93; Jim&eacute;nez, J.E. and Hern&aacute;ndez, S. (2002). Marco Conceptual de la cadena de suministros: Un nuevo enfoque log&iacute;stico. Publicaci&oacute;n t&eacute;cnica. No.215. Instituto Mexicano del Transporte.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872720&pid=S1665-6423201300030000400023&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;24&#93; Cedillo&#45;Campos, M. and S&aacute;nchez, C. (2008). An&aacute;lisis din&aacute;mico de sistemas industriales. Editorial Trillas.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872722&pid=S1665-6423201300030000400024&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;25&#93; Kleijnen. J. (1995). Sensitivity Analysis and Optimization of System Dynamics Models: Regression Analysis and Statistical Design of Experiments. System Dynamics Review. Vol. 11, No. 4, pp 275&#45;288.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872724&pid=S1665-6423201300030000400025&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;26&#93; Gr&ouml;Bler, A and Schieritz, N. (2005). Of Stocks, Flows, Agents and Rules &#45; Strategic simulation in Supply Chain Research. Research Methodologies in Supply Chain Management. Editorial Physica&#45;Verlang. Pag.445&#45;460.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872726&pid=S1665-6423201300030000400026&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="verdana" size="2">&#91;27&#93; Roberts, E.B. (1978). Managerial Applications of System Dynamics. Productivity Press, Cambridge, MA.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872728&pid=S1665-6423201300030000400027&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;28&#93; Montgomery, D. (2012). Design and Analysis of Experiments. 8th Edition, Wiley.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872730&pid=S1665-6423201300030000400028&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;29&#93; Oliva, R. (1996). A Dynamic Theory of Service Delivery: Implications for Managing Service Quality. Tesis de Doctorado. Instituto Tecnol&oacute;gico de Massachusetts. EUA.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872732&pid=S1665-6423201300030000400029&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;30&#93; Forrester, J. and Senge, P. (1980). Test for Building Confidence in System Dynamics Models. TIMS Studies in the Management Science 14, pp 209&#45;228.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872734&pid=S1665-6423201300030000400030&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;31&#93; Barlas, Y. (1996). Formal Aspects of Model Validity and Validation in System Dynamics. System Dynamics Review, Vol. 12, No.3 (Fall 1996): 183&#45;210.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872736&pid=S1665-6423201300030000400031&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="verdana" size="2">&#91;32&#93; Kleijnen, J. (1992). Sensitivity Analysis of System Dynamics Models: Regression Analysis and Statistical Design. Proceeding of International System Dynamics Conference, pp 321&#45;327.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872738&pid=S1665-6423201300030000400032&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;33&#93; Umeda, S. and Jain, S. (2004). Integrated Supply Chain Simulation System (ISSS)&#45;Modeling Requirements and Design Issues. National Institute of Standards and Technology, U.S. Deparment of Commerce. Washington, D.C.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=4872740&pid=S1665-6423201300030000400033&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>      ]]></body><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="">
<collab>Deloitte</collab>
<source><![CDATA[A New Era, Accelerating Toward 2020- An Automotive Industry Transformed]]></source>
<year>2010</year>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="">
<collab>The International Organization of Motor Vehicle Manufacturers</collab>
<source><![CDATA[Production Statistics]]></source>
<year>2010</year>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Humphrey]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Memedovic]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<source><![CDATA[The Global Automotive Industry Value Chain: What Prospects for Upgrading by Developing Countries]]></source>
<year>2003</year>
<publisher-name><![CDATA[United Nations Industrial Development Organization]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mukherjee]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sastry]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Automotive Industry in Emerging Economies: A Comparison of South Korea, Brazil, China and India]]></article-title>
<source><![CDATA[Economic and Political Weekly]]></source>
<year>1996</year>
<volume>31</volume>
<numero>48</numero>
<issue>48</issue>
<page-range>M75-M78</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Langley]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Third-Party Logistics Study]]></source>
<year>2012</year>
<publisher-name><![CDATA[Capgemini]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meyr]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Supply Chain Planning in the German Automotive Industry]]></article-title>
<source><![CDATA[OR Spectrum]]></source>
<year>2004</year>
<volume>26</volume>
<page-range>447-470</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wagner]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Silveira-Camargos]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Decision model for the application of just-in-sequence]]></article-title>
<source><![CDATA[International Journal of Production Research]]></source>
<year>2011</year>
<volume>49</volume>
<numero>19</numero>
<issue>19</issue>
<page-range>5713-5736</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cedillo-Campos]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Supply Chain Clustering: the next step of industrial competitiveness]]></source>
<year>2012</year>
<publisher-loc><![CDATA[Mexico ]]></publisher-loc>
<publisher-name><![CDATA[Council of Supply Chain Management Professionals Conference, CSCMP-Roundtable Mexico]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Saxenian]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Regional Advantage: Culture and Competition in Silicon Valley and Route 128]]></source>
<year>1994</year>
<publisher-name><![CDATA[Harvard University Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cedillo-Campos]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez-Araos]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Hybrid supply chains in emerging markets: the case of the Mexican auto industry]]></article-title>
<source><![CDATA[South African Journal of Industrial Engineering]]></source>
<year>2010</year>
<volume>21</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>193-206</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhatnagar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sohal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Supply Chain Competitiveness: Measuring the Impact of Location Factor, Uncertainty and Manufacturing Practices]]></article-title>
<source><![CDATA[Technovation]]></source>
<year>2005</year>
<numero>25</numero>
<issue>25</issue>
<page-range>443-456</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodrigue]]></surname>
<given-names><![CDATA[J.-P.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The Geography of Global Supply Chains: Evidence from Third Party Logistics]]></article-title>
<source><![CDATA[Journal of Supply Chain Management]]></source>
<year>2012</year>
<volume>48</volume>
<numero>Special</numero><numero>3</numero>
<issue>Special</issue><issue>3</issue>
<page-range>15-23</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="">
<collab>Supply Chain Digest</collab>
<source><![CDATA[Supply Chain News: New Study from Boston Consulting Finds China Manufacturing Cost Advantage Over US to Disappear by 2015]]></source>
<year>2011</year>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="">
<collab>Supply Chain Digest</collab>
<source><![CDATA[Supply Chain News: New Study from Boston Consulting Group Says 50% of Large US Manufacturers will or Are Considering Returning at Least Some Production Back to the US]]></source>
<year>2012</year>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cedillo-Campos]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The new relational schemas of inter-firms cooperation: The case of the Coahuila automobile cluster in Mexico]]></article-title>
<source><![CDATA[International Journal of Automotive Technology and Management]]></source>
<year>2006</year>
<volume>6</volume>
<page-range>406-418</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhatnagar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sohal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Supply chain competitiveness: Measuring the impact of location factor, uncertainty and manufacturing practices]]></article-title>
<source><![CDATA[Technovation]]></source>
<year>2005</year>
<volume>25</volume>
<page-range>443-456</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Duggan]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Using System Dynamics and Multiple Objective Optimization to Support Policy Analysis for Complex Systems]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Qudrat-Ullah]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Spector]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Davidsen]]></surname>
<given-names><![CDATA[P. I.]]></given-names>
</name>
</person-group>
<source><![CDATA[Understanding complex systems]]></source>
<year>2008</year>
<page-range>59-81</page-range><publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Knemeyer]]></surname>
<given-names><![CDATA[A.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zinn]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Eroglu]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Proactive Planning for catastrophic events in supply chains]]></article-title>
<source><![CDATA[Journal of Operations Management]]></source>
<year>2009</year>
<volume>27</volume>
<page-range>141-153</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Cedillo-Campos]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Global Economic Crisis and Mexican Automotive Suppliers: Impacts on the Labor Capital. SIMULATION]]></article-title>
<source><![CDATA[Advances of Modeling & Simulation in Supply Chain and Industry]]></source>
<year>2011</year>
<volume>87</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>711-725</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chopra]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Meindl]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Supply Chain Management]]></source>
<year>2012</year>
<edition>5</edition>
<publisher-name><![CDATA[Prentice Hall]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Waters]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Logistics- An Introduction to Supply Chain Management]]></source>
<year>2003</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Palgrave Mcmillan]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Forrester]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Industrial Dynamics]]></source>
<year>1961</year>
<publisher-name><![CDATA[Pegasus]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jiménez]]></surname>
<given-names><![CDATA[J.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Marco Conceptual de la cadena de suministros: Un nuevo enfoque logístico]]></source>
<year>2002</year>
<publisher-name><![CDATA[Instituto Mexicano del Transporte]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cedillo-Campos]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Análisis dinámico de sistemas industriales]]></source>
<year>2008</year>
<publisher-name><![CDATA[Editorial Trillas]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kleijnen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Sensitivity Analysis and Optimization of System Dynamics Models: Regression Analysis and Statistical Design of Experiments]]></article-title>
<source><![CDATA[System Dynamics Review]]></source>
<year>1995</year>
<volume>11</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>275-288</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[GröBler]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Schieritz]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<source><![CDATA[Of Stocks, Flows, Agents and Rules - Strategic simulation in Supply Chain Research. Research Methodologies in Supply Chain Management]]></source>
<year>2005</year>
<page-range>445-460</page-range><publisher-name><![CDATA[Editorial Physica-Verlang]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Roberts]]></surname>
<given-names><![CDATA[E.B.]]></given-names>
</name>
</person-group>
<source><![CDATA[Managerial Applications of System Dynamics]]></source>
<year>1978</year>
<publisher-loc><![CDATA[Cambridge^eMA MA]]></publisher-loc>
<publisher-name><![CDATA[Productivity Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Montgomery]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Design and Analysis of Experiments]]></source>
<year>2012</year>
<edition>8</edition>
<publisher-name><![CDATA[Wiley]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Oliva]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[A Dynamic Theory of Service Delivery: Implications for Managing Service Quality]]></source>
<year>1996</year>
</nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Forrester]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Senge]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Test for Building Confidence in System Dynamics Models]]></article-title>
<source><![CDATA[TIMS Studies in the Management Science]]></source>
<year>1980</year>
<volume>14</volume>
<page-range>209-228</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>31</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Barlas]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Formal Aspects of Model Validity and Validation in System Dynamics]]></article-title>
<source><![CDATA[System Dynamics Review]]></source>
<year>1996</year>
<month>19</month>
<day>96</day>
<volume>12</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>183-210</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>32</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kleijnen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Sensitivity Analysis of System Dynamics Models: Regression Analysis and Statistical Design]]></article-title>
<source><![CDATA[Proceeding of International System Dynamics Conference]]></source>
<year>1992</year>
<page-range>321-327</page-range></nlm-citation>
</ref>
<ref id="B33">
<label>33</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Umeda]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Jain]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Integrated Supply Chain Simulation System (ISSS)-Modeling Requirements and Design Issues]]></source>
<year>2004</year>
<publisher-loc><![CDATA[Washington^eD.C. D.C.]]></publisher-loc>
<publisher-name><![CDATA[National Institute of Standards and TechnologyU.S. Deparment of Commerce]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
