Design and Operating for the Logistics Systems

Abstract:

Logistics supply chain system management is the integration of key business processes from end user through original logistics suppliers that provides products, services, and information that add value for customers and other stakeholders. Due to the emergence of the global economy and intensified competition, many modern firms in the industry have recognized the importance of managing their logistics supply chains for fast product introduction and service innovations to the markets since the introduction of the term logistics supply chain management. For improved competitiveness, many modern firms in the industry have embraced the logistics supply chain management to increase organizational effectiveness and achieve such organizational goals as improved customer value, better utilization of resources, and increased profitability, through suitable design and effective operating of logistics supply chain system.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 3101-3105
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.3101
• Online since: January 2012
• Authors: Yan Ling Wang
• Keywords: Design, Logistics System, Operating

References

[1] D. Lambert, M. Cooper. Issues in supply chain management, Ind Mark Manage, vol. 29, no. l, 2000, pp.65-83.

[2] D. Simchi-Levi, P. Kaminsky and E. Simchi-Levi, Managing the Logistics supply chain – The Definitive Guide for the Business Professional, New York: McGraw-Hill, (2004).

DOI: 10.1002/j.2158-1592.2001.tb00165.x

[3] D. Simchi-Levi, P. Kaminski, Designing and managing the logistics supply chain–concepts, strategies and case studies, New Jersey: McGraw-Hill, (2006).

DOI: 10.1002/j.2158-1592.2001.tb00165.x

[4] M. G. Sylvia Thompson, M. T. Morrissey. Seafood Traceability in the United States: Current Trends, System Design, and Potential Applications, Comprehensive Reviews in Food Science and Food Safety, pp.1-7, vol. 4, no. 1, (2005).

DOI: 10.1111/j.1541-4337.2005.tb00067.x

[5] K. Kogan, A. Herbon, A logistics supply chain under limited-time promotion: The effect of customer sensitivity, European Journal of Operational Research, Vol. 188, pp.273-292, (2008).

DOI: 10.1016/j.ejor.2007.04.012

[6] G. Cachon, R. Swinney, Purchasing, Pricing, and Quick Response in the Presence of Strategic Customers, Management Science, Vol. 55, No. 3, pp.497-511, (2009).

DOI: 10.1287/mnsc.1080.0948

[7] L. Dong, P. Kouvelis, Z. Tian, Dynamic Pricing and Inventory Control of Substitutable Products, Manufacturing & Service Operations Management, Vol. 11, No. 2, pp.317-339, (2009).

DOI: 10.1287/msom.1080.0221

[8] D. Guide, L.N. Van Wassenhove, The Evolution of Closed-Loop Logistics supply chain Research, Operations Research, Vol. 57, No. 1, pp.10-18, (2009).

DOI: 10.1287/opre.1080.0628

[9] T. H. Ho, C.S. Tang, Introduction to the Special Issue on Marketing and Operations Interfaces and Coordination, Production and Operations Management, Vol. 18, No. 4, pp.363-365, (2009).

DOI: 10.1111/j.1937-5956.2009.01037.x

[10] P. Pekgun, P. M. Griffin, P. Keskinocak, Coordination of Marketing and Production for Price and Leadtime Decisions, IIE Transactions, Vol. 40, No. 1, pp.12-30, (2009).

DOI: 10.1080/07408170701245346

[11] M. A. Lejeune, A variable neighborhood decomposition search method for logistics supply chain management planning problems, European Journal of Operational Research, Vol. 175, No. 2, 959–976, (2006).

DOI: 10.1016/j.ejor.2005.05.021

[12] H. Stadler, Logistics supply chain management and advanced planning – basics, overview and challenges, European Journal of Operational Research, Vol. 163, pp.575-588, (2005).

DOI: 10.1016/j.ejor.2004.03.001

[13] C.A. Silva, J.M.C. Sousa, T. Runkler, R. Palm, Soft computing optimization methods applied to logistic processes, International Journal of Approximated Reasoning, Vol. 40, pp.280-301, (2005).

DOI: 10.1016/j.ijar.2005.06.004

[14] K. H. Evans, A genetic-algorithm based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs, Computers and Operations Research, Vol. 34, pp.346-66, (2007).

DOI: 10.1016/j.cor.2005.03.004

[15] Z. Zhang, Immune optimization algorithm for constrained nonlinear multiobjective optimization problems, Applied Soft Computing, Vol. 7, p.840–857, (2007).

DOI: 10.1016/j.asoc.2006.02.008

[16] C. S. Tang, Perspectives in logistics supply chain risk management, International Journal of Production Economics, Vol. 103, p.451–488, (2006).

DOI: 10.1016/j.ijpe.2005.12.006

[17] R. S. Srinivasan, Application of network methods in intelligent logistics supply chain management, International Journal of Services Operations and Informatics, Vol. 2, No. 3, p.278–299, (2007).

DOI: 10.1504/ijsoi.2007.015329

[18] E. Silver, R. Peterson. Decision Systems for Inventory Management and Production Planning, 3rd Edition. Wiley, New York, (1998).