Proposed a Method for Increasing the Delivery Performance in Dynamic Supply Network
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.
[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.
[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.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:63583", author = "M. Safaei and M. Seifert and K. D. Thoben", title = "Proposed a Method for Increasing the Delivery Performance in Dynamic Supply Network", 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.", volume = "4", number = "9", pages = "905-4", }
