The Research of United Scheduling and Coordination in Three-Layer Supply Chain Model

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Abstract:

With the rapid development of the global economy, more and more enterprises emphasize on the coordination with the partners to improve the supply chain competitive capability. This paper focuses on the united scheduling of the three-layer supply chain and the coordination mechanisms of agile supply chain. The objective is to minimize the total transportation cost and improve the customer’s service level, which is achieved by scheduling the jobs and delivering them to the next stage in batches. Based on the features of the optimal scheduling, a dynamic programming algorithm is proposed.

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Periodical:

Advanced Materials Research (Volumes 341-342)

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369-373

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September 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] New S J, Payne P. Research frameworks in logistics: three models, seven dinners and a survey. International Journal of Physical Distribution and Logistics Management, Vol. 25(2007) pp: 60-77.

DOI: 10.1108/09600039510147663

Google Scholar

[2] Simchi-Levi D P. Designing and Managing the Supply Chain. Irwin McGraw-Hill(2005).

Google Scholar

[3] Bowon Kim. Coordinating an innovation in supply chain management. European Journal of Operational Research. Vol. 23(2003), pp: 568-584.

Google Scholar

[4] Tan K C. A framework of supply chain management literature. European Journal of Purchasing&Supply Management. Vol. 7(2008), pp: 39-48.

DOI: 10.1016/s0969-7012(00)00020-4

Google Scholar

[5] Kuno T, T Utsunomiya. A Lagrangian Based Branch-and-Bound Algorithm for Production-Transportation Problems. Journal of Global Optimization, Vol. 18(2004), pp: 59-73.

Google Scholar

[6] Goyal S K. On Improving the Single-Vendor Single Buyer Integrated Production Inventory Model with a Generalized Policy. European Journal of Operational Research, Vol. 23(2008), pp: 429-430.

DOI: 10.1016/s0377-2217(99)00269-6

Google Scholar