淡江大學機構典藏:Item 987654321/50442
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/50442


    Title: Economic order quantity under conditions of a one-time-only extended permissible delay period in payments
    Authors: Goyal, Suresh Kumar;張春桃;Chang, Chun-tao
    Contributors: 淡江大學統計學系
    Keywords: Inventory;payment delay;special order quantity
    Date: 2008-04
    Issue Date: 2010-08-09 17:27:43 (UTC+8)
    Publisher: Singapore: World Scientific Publishing Co. Pte. Ltd.
    Abstract: In today's business environment, a supplier usually offers customers a permissible delay for settling outstanding account balance for the goods supplied. However, a supplier on occasion may allow this permissible delay in payments to be more than the usual during a given specified period. In this paper, we establish an appropriate model for a customer to determine its optimal special order quantity when the supplier offers a special extended permissible delay for one time only during a specified period. We then establish two theorems for a customer to find the optimal special order quantity. Finally, several numerical examples are given to illustrate the theoretical results.
    In today's business environment, a supplier usually offers customers a permissible delay for settling outstanding account balance for the goods supplied. However, a supplier on occasion may allow this permissible delay in payments to be more than the usual during a given specified period. In this paper, we establish an appropriate model for a customer to determine its optimal special order quantity when the supplier offers a special extended permissible delay for one time only during a specified period. We then establish two theorems for a customer to find the optimal special order quantity. Finally, several numerical examples are given to illustrate the theoretical results.
    Relation: Asia-Pacific Journal of Operational Research 25(2), pp.267-277
    DOI: 10.1142/S0217595908001675
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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