Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30063
Proposed a Method for Increasing the Delivery Performance in Dynamic Supply Network

Authors: M. Safaei, M. Seifert, K. D. Thoben

Abstract:

Supply network management adopts a systematic and integrative approach to managing the operations and relationships of various parties in a supply network. The objective of the manufactures in their supply network is to reduce inventory costs and increase customer satisfaction levels. One way of doing that is to synchronize delivery performance. A supply network can be described by nodes representing the companies and the links (relationships) between these nodes. Uncertainty in delivery time depends on type of network relationship between suppliers. The problem is to understand how the individual uncertainties influence the total uncertainty of the network and identify those parts of the network, which has the highest potential for improving the total delivery time uncertainty.

Keywords: Delivery time uncertainty, Distribution function, Statistical method, Supply Network.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083253

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF

References:


[1] A. S. Carr, J. Pearson: "Strategically managed buyer-supplier relationships and performance outcomes", Journal of operations management, Vol. 17, 1999, Pages 497-519.
[2] D. Garg, Y. Narahari, N. Viswanadham: "Achieving sharp deliveries in supply chains through variance pool allocation", European journal operation and research, Vol. 171, 2006, Pages 227-254.
[3] A. L. Guiffrida: "A cost-based model for evaluating vendor delivery performance", MS thesis, Department of industrial engineering, state university of New York at Buffalo, Buffalo, NY, 1999.
[4] A. L. Guiffrida, M. Y. Jaber: "Managerial and economic impacts of reducing delivery variance in the supply chain", Applied mathematical modelling, Vol. 32, 2008, Pages 2149-2161.
[5] A. L. Guiffrida, R. Nagi: "Cost characterizations of supply chain delivery performance", International journal of production economic, Vol.102, 2006, Pages 22-36.
[6] A. Gunasekaran, K. H. Lai, and T. C. Edwin Cheng: "Responsive supply chain: A competitive strategy in a networked economy", Omega, Vol. 36, Issue 4, 2008, Pages 549-564.
[7] A. Gunasekaran, C. Patel, and E. Tirtiroglu: "Performance measures and metrics in the supply chain environment", International journal of operations & production management, Vol. 21, 2001, Pages 71-87.
[8] A. Lockamy, K. McCormack: "Linking SCOR planning practices to supply chain performance", International journal of operations & production management, Vol. 24, 2004, Pages 1192-1218.
[9] D. C. Montgomery, J. Wiley, and I. Sons: "Introduction to statistical quality control", 3 RD, New York, 1996.
[10] C. C. New, T. M. Sweeney: "Delivery performance and throughput efficiency in UK manufacturing", International journal of physical distribution and materials management, Vol. 14, 1984, Pages 3-48.
[11] D. Stefanovic, B. Stefanovic, and B. Radenkovic: "Supply network modelling and simulation methodology", Simulation Modelling Practice and Theory, Vol. 17, 2009, Pages 743-766.
[12] K. -D. Thoben, H. S. Jagdev: "Typological issues in enterprise networks", Production Planning & Control, Vol. 12, 2001, pages 421 - 436.
[13] R. Toukko: "Julius pesonen strategic agality in production networks", master thesis, Tampere University of technology, Finland, 2010.
[14] R. Verma, M. E. Pullman: "An analysis of the supplier certification process", Omega, Vol. 26, 1998, Pages 739-750.
[15] F. Wang, T. Du: "Applying capability index to the supply network analysis", Total quality management, Vol. 18, 2007, Pages 425-434.
[16] H. W-C. Yeung: "Situating regional development in the competitive dynamics of global production networks: an East Asian perspective", The International Centre for the Study of East Asian Development, Kitakyushu, 2006.