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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/78928


    Title: RETRACTED ARTICLE: Agent-based modeling of supply chain network for adaptive pricing strategy
    Authors: Deng, Guang-Feng;Lin, Woo-Tsong
    鄧廣豐;林我聰
    Contributors: 資管系
    Keywords: Adaptive systems;Competition;Computational methods;Computer simulation;Fuzzy logic;Fuzzy systems;Genetic algorithms;Mathematical models;Sales;Software agents;Software engineering;Supply chain management;Supply chains;Adaptive behavior;Agent-based modeling;Agent-based modeling and simulation;Competition theory;Complex adaptive systems;Pricing strategy;Retailer performance;Retailer supply chains;Simulation result;supply chain network;Supply networks;Costs
    Date: 2011
    Issue Date: 2015-10-08 17:53:03 (UTC+8)
    Abstract: In a multiple supplier - multiple retailer supply chain network, multiple price competitive forces interact to influence firm price decisions. These forces include: (1) the supplier level competition each supplier faces from others producing the same product, (2) the retailer level competition among the retailers selling the same set of goods, and (3) the vertical interaction competition between the retailer and supplier. This study examines the influence of adaptive pricing strategy on supplier or retailer performance. This investigation views supply networks as a complex adaptive system, uses agent-based modeling and simulation (ABMS) to construct the competitive multiple supplier - multiple retailer supply network, and applies competition theory, fuzzy logic, and genetic algorithms to model the pricing adaptive behavior. The simulation results demonstrate that: Supplier level performance lags retailer level performance, regardless of the type of adaptive pricing strategy suppliers adopt. At the supplier level, the performance of suppliers following an open adaptive pricing strategy (low exploitation high exploration) exceeds that of suppliers following a closed adaptive pricing strategy (high exploitation low exploration). At the retailer level, the performance of retailers following a closed adaptive pricing strategy (high exploitation low exploration) exceeds that of suppliers following an open adaptive pricing strategy (low exploitation high exploration). © 2011 IEEE.
    Relation: ICSESS 2011 - Proceedings: 2011 IEEE 2nd International Conference on Software Engineering and Service Science, 論文編號 5982460,795-798
    Data Type: conference
    DOI link: http://dx.doi.org/10.1109/ICSESS.2011.5982460
    DOI: 10.1109/ICSESS.2011.5982460
    Appears in Collections:[Department of MIS] Proceedings

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