淡江大學機構典藏:Item 987654321/106031
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/106031


    Title: Nash and integrated solutions in a just-in-time seller–buyer supply chain with buyer's ordering cost reductions
    Authors: Kuo-Ren Lou;Lu Wang
    Keywords: inventory;trade credit;Nash solution;integrated solution;just-in-time;order cost reduction
    Date: 2016-01-12
    Issue Date: 2016-04-22 13:15:56 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: The seller frequently offers the buyer trade credit to settle the purchase amount. From the seller's prospective, granting trade credit increases not only the opportunity cost (i.e., the interest loss on the buyer's purchase amount during the credit period) but also the default risk (i.e., the rate that the buyer will be unable to pay off his/her debt obligations). On the other hand, granting trade credit increases sales volume and revenue. Consequently, trade credit is an important strategy to increase seller's profitability. In this paper, we assume that the seller uses trade credit and number of shipments in a production run as decision variables to maximise his/her profit, while the buyer determines his/her replenishment cycle time and capital investment as decision variables to reduce his/her ordering cost and achieve his/her maximum profit. We then derive non-cooperative Nash solution and cooperative integrated solution in a just-in-time inventory system, in which granting trade credit increases not only the demand but also the opportunity cost and default risk, and the relationship between the capital investment and the ordering cost reduction is logarithmic. Then, we use a software to solve and compare these two distinct solutions. Finally, we use sensitivity analysis to obtain some managerial insights.
    Relation: International Journal of Systems Science 47(7), pp.1615–1623
    DOI: 10.1080/00207721.2014.942243
    Appears in Collections:[Department of Management Sciences] Journal Article

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