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  • 标题:An Optimal Assignment Schedule of Staff-Subject Allocation
  • 本地全文:下载
  • 作者:Suleiman Kabiru ; Bello Malam Saidu ; Abdullahi Zubairu Abdul
  • 期刊名称:Journal of Mathematical Finance
  • 印刷版ISSN:2162-2434
  • 电子版ISSN:2162-2442
  • 出版年度:2017
  • 卷号:07
  • 期号:04
  • 页码:805-820
  • DOI:10.4236/jmf.2017.74042
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:This research is an optimal allocation of assignment schedule in science subjects. Two methods of assignment problem were used, namely; the Hungarian method (Algorithm) and Linear interactive & discrete optimization (LINGO) technique. The results from both methods yielded the same optimal outcome. It reveals that the total minimum opportunity that will maximize the educational quality is 84 and the total maximum effectiveness that will maximize the educational quality is 416. Therefore, we recommend to the school management to adopt these methods in staff-subject allocation schedule to science, management and arts subjects for optimal benefits. Accordingly, the government should also apply the findings of this research to other schools.
  • 关键词:Assignment;Schedule;Optimal Allocation;Hungarian Method;LINGO Technique
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