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  • 标题:Particle swarm algorithm for cost allocation of major operational materials in an alloy steel plant
  • 本地全文:下载
  • 作者:Ahmad Al Hammad ; Mahmoud M. El-Sherbiny ; Bokkasam Sasidhar
  • 期刊名称:African Journal of Business Management
  • 印刷版ISSN:1993-8233
  • 出版年度:2012
  • 卷号:6
  • 期号:11
  • 页码:3851-3855
  • DOI:10.5897/AJBM11.1496
  • 语种:English
  • 出版社:Academic Journals
  • 摘要:This paper brings out the application of particle swarm technique for allocation of the major components of process cost to various qualities of alloy steel. The cost of the major operational materials such as refractories, electrodes and nipples, ingot moulds etc., cannot be directly allocated to each quality. Since the consumption of operational materials does not only depend on the time but also on the quality of the steel manufactured, the approach envisages the application of particle swarm algorithm to estimate the consumption pattern for each quality manufactured, so that a realistic quality-wise cost can be arrived at.
  • 关键词:Cost allocation; operational materials; alloy steel; particle swarm
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