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Acquisition Policy

The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform

Chingter Chang – 1st expert on this subject based on the ideXlab platform

  • an Acquisition Policy for a single item multi supplier system with real world constraints
    Applied Mathematical Modelling, 2006
    Co-Authors: Chingter Chang

    Abstract:

    Abstract This paper proposes an exact Acquisition Policy for solving the single-item multi-supplier problem with real-world constraints. Compared with the model of Rosenblatt et al. [Note. An Acquisition Policy for a single item multi-supplier system, Manage. Sci. 44 (1998) S96–S100], the proposed method has contributions in that the global optimal solutions can be obtained to indicate the best Acquisition Policy, and real-world constraints can easily be added as appropriate for real-world situations. In addition, the benefits of price-quantity discount (PQD) under conditions of the single item muti-supplier system are also considered in the paper.

Depei Qian – 2nd expert on this subject based on the ideXlab platform

  • GCC – ORSP: An Efficient Resource Acquisition Policy for Peer-to-Peer Mesh Streaming Systems
    2010 Ninth International Conference on Grid and Cloud Computing, 2010
    Co-Authors: Feng Xiao, Zhongzhi Luan, Rui Wang, Depei Qian

    Abstract:

    As a superior approach for peer-to-peer (P2P) streaming live media, mesh-based overlay has made much success due to its potential scalability and ease of deployment. Peers in mesh streaming systems employ a swarming content delivery mechanism to exchange resources. However, the limited availability of new content heavily affects the quality of delivered stream. Aiming at leveraging and optimizing the resources of participating peers to distribute contents, we propose ORSP, an efficient resource Acquisition Policy for mesh content distribution services. Instead of choosing coming stream randomly with limited bandwidth, ORSP (i) instructs each peer to derive a combination of stream from a gathered subset of peers that maximizes the delivered stream, and (ii) guarantees that peers with more available stream are firstly selected to provide stream in order to balance the whole network resources. Simulation results show that ORSP optimizes stream selection manner that enables peers to obtain more available resources, distribution of system resources is prone to be relatively average that helps to decrease the node failure rate for node join in and drop out, accompanied with a little increased source-to-end delay to some degree.

  • ORSP: An Efficient Resource Acquisition Policy for Peer-to-Peer Mesh Streaming Systems
    2010 Ninth International Conference on Grid and Cloud Computing, 2010
    Co-Authors: Feng Xiao, Zhongzhi Luan, Rui Wang, Depei Qian

    Abstract:

    As a superior approach for peer-to-peer (P2P) streaming live media, mesh-based overlay has made much success due to its potential scalability and ease of deployment. Peers in mesh streaming systems employ a swarming content delivery mechanism to exchange resources. However, the limited availability of new content heavily affects the quality of delivered stream. Aiming at leveraging and optimizing the resources of participating peers to distribute contents, we propose ORSP, an efficient resource Acquisition Policy for mesh content distribution services. Instead of choosing coming stream randomly with limited bandwidth, ORSP (i) instructs each peer to derive a combination of stream from a gathered subset of peers that maximizes the delivered stream, and (ii) guarantees that peers with more available stream are firstly selected to provide stream in order to balance the whole network resources. Simulation results show that ORSP optimizes stream selection manner that enables peers to obtain more available resources, distribution of system resources is prone to be relatively average that helps to decrease the node failure rate for node join in and drop out, accompanied with a little increased source-to-end delay to some degree.

Seong Wook Hwang – 3rd expert on this subject based on the ideXlab platform

  • an integrated Acquisition Policy for supplier selection and lot sizing considering total quantity discounts and a quality constraint
    Transportation Research Part E-logistics and Transportation Review, 2018
    Co-Authors: Xin Li, Jose A Ventura, Barbara B Venegas, Sang Jin Kweon, Seong Wook Hwang

    Abstract:

    We consider a two-stage supply chain where a buyer purchases a product from multiple capacitated suppliers to satisfy a constant demand rate over a finite planning horizon. Suppliers have different perfect rates and offer total quantity discounts. The buyer selects suppliers and allocates orders to them that satisfy a minimum average quality level. A mathematical model is proposed with the objective on minimizing the total cost per time unit. The model is solved by dualizing the quality constraint. The relaxed model is solved by an efficient dynamic programming algorithm. The subgradient method is used to solve the dual problem.