Supply chain is a widely used concept around the world. Nowadays, companies need to integrate their production processes, from the raw materials to the end-user. Supply chain management is a phenomenon that achieves this in a way that ensures customers get reliable and fast service and high quality products at the lowest possible cost. There is very limited and sporadic research on supply chain integration and how it affects supply chain performance. Therefore there is no real understanding of the concept of supply chain integration and how it affects supply chain performance nor is there a holistic model. This paper thus aims to present a model that identifies factors affecting the relationship between supply chain integration and customer delivery performance. After analyzing the collected data on supply chain integration and customer delivery performance, the preliminary model was proposed and completed, and using expert opinion in the Imam Khomeini Oil Refinery the final model and for factors affecting the relationship between supply chain integration and customer delivery performance were presented. To determine how these factors interrelate with each other, the DEMATEL method was then used. The statistical population included the staff at Imam Khomeini Oil Refinery in Shazand. The data, collected through the standard DEMATEL questionnaire, were analyzed using the DEMATEL method and a MATLAB program. The DEMATEL results indicate that intra-organizational factors, institutional norms, technological certainties are causal factors which influence other factors that affect the relationship between supply chain integration and customer delivery performance. Intra-organizational factor have a greater influence also among effect factors, substructures have the greatest influence.
Aryee, G. ,Naim, M. M. , 2008, “Supply chain integration using a maturity scale”, Journal of Manufacturing Technologhy Management, 556-575.
Boon-itt ,S. , Wong,C.Y., 2011, “The moderating effects of technological and demand uncertainties on the relationship between supply chain integration and customer delivery performance” , International Journal of Physical Distribution & logistics management vol41 . No.3, 235-276.
Chen,Chun-An., 2012,”Using dematel method for medical development in Taiwan”, American Journal of Turism Research,26-32.
Cousins,P . D. ,Menguc,B. ,2006,”The implications of socialization and integration in supply chain management”, Journal of Operations Management 24, 604-620
Flynn,B ,B. , Huo,B. , Zhao, X. , 2010, “The impact of supply chain integration on performance: A contingency and configuration approach”, Journal of Operations Management 58, 58-71.
Guiffrida,A ,L. ,Nagi,R,. 2006, “Cost charatrization of supply chain delivery performance”, Int. j. Production Economics 102, 22-36.
Kotzab, H. ,Teller,CH. ,Sparks,G.L. ,2011, “Antecedents for the adoption and execution of supply chain management”, Supply chain management: International Journal Enerald article,231-245.
Lummus, Rhonda R., Vokurka , Robert J. ,1999, “Defining supply chain management: a historical perspective and practical guidelines” , industrial management & Data Systems, vol 1, 11-17.
Panayides ,P. M. ,Venus Lun,Y. H. ,2009 ,”The impact of trust on innovativeness and supply chain performance”, Int. j. Production Economics 122, 35-46
Sukati ,I. ,Abu Bakar Hamid , Baharun , R ,. Yysoff , R, M,.2012, “The study of sypply chain management strategy and practices on supply chain performance”, procedia – Social and behavioral Sciences 40, 225-233.
Vaart ,T .V. ,Donk , D, P,.2007,”A ciritical review of survey-based research in supply chain inttegration”, Int. j. Production Economics 111, 42-55.
Wong ,C ,Y. ,Boon-itt ,S. ,Kong ,C .W .Y. ,2011 ,”The contingency effects of invironmental uncertainty on the relationship between supply chain integration and operational performance”, Journal of Operations Management 29, 604-615.
Zhao,X. , Huo ,B. ,Flynn , B .B. ,Yeung ,J .Y. ,2008 , “The impact of power and relationship commitment on the integration between manufacturers and customers in a supply chain”, Journal of Operations Management 26, 368-388.
Copyright: © 2013 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode