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  • 标题:Computational Optimization of Manufacturing Batch Size and Shipment for an Integrated EPQ Model with Scrap
  • 本地全文:下载
  • 作者:Yuan-Shyi Peter Chiu ; Hong-Dar Lin ; Ming-Hon Hwang
  • 期刊名称:American Journal of Computational Mathematics
  • 印刷版ISSN:2161-1203
  • 电子版ISSN:2161-1211
  • 出版年度:2011
  • 卷号:1
  • 期号:3
  • 页码:202-207
  • DOI:10.4236/ajcm.2011.13023
  • 出版社:Scientific Research Publishing
  • 摘要:This paper employs mathematical modeling and algebraic approach to derive the optimal manufacturing batch size and number of shipment for a vendor-buyer integrated economic production quantity (EPQ) model with scrap. Unlike the conventional method by using differential calculus to determine replenishment lot size and optimal number of shipments for such an integrated system, this paper proposes a straightforward algebraic approach to replace the use of calculus on the total cost function for solving the optimal production- shipment policies. A simpler form for computing long-run average cost for such a vendor- buyer integrated EPQ problem is also provided.
  • 关键词:Computational Optimization; Manufacturing Batch Size; Shipments; EPQ Model; Random Scrap Rate; Algebraic Approach
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