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  • 标题:Simulation analysis of a fabrication process of a tannery: Case study of a Latin American company
  • 本地全文:下载
  • 作者:Jairo R. Montoya-Torres ; Diana Carolina Pirachicán-Mayorga
  • 期刊名称:Journal of Operations and Supply Chain Management
  • 印刷版ISSN:1984-3046
  • 出版年度:2017
  • 卷号:10
  • 期号:2
  • 页码:06-17
  • DOI:10.12660/joscmv10n2p06-17
  • 语种:English
  • 出版社:FGV-EAESP
  • 摘要:A large number of real-life optimization problems in economics and business are complex and difficult to solve. Among the solutions techniques available in the Management Sciences, Discrete-Event computer Simulation (DES) can be considered as one of the most preferred by practitioners. DES has been used as an analysis tool to evaluate new production system concepts, and has also been used in the operation and planning of manufacturing facilities. In this paper, we propose to apply DES for the analysis of a tannery manufacturing facility. The objective is to analyze the current performance of the production system in order to propose alternatives for improvement, as well as optimum parameters for production. Results obtained showed the advantages of using such a quantitative decision-aid technique by capturing most of the complexity characteristics of the production process.
  • 其他摘要:A large number of real-life optimization problems in economics and business are complex and difficult to solve. Among the solutions techniques available in the Management Sciences, Discrete-Event computer Simulation (DES) can be considered as one of the most preferred by practitioners. DES has been used as an analysis tool to evaluate new production system concepts, and has also been used in the operation and planning of manufacturing facilities. In this paper, we propose to apply DES for the analysis of a tannery manufacturing facility. The objective is to analyze the current performance of the production system in order to propose alternatives for improvement, as well as optimum parameters for production. Results obtained showed the advantages of using such a quantitative decision-aid technique by capturing most of the complexity characteristics of the production process.
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