文章基本信息

标题：Improving an Industrial problem optimizing the material in car seats
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作者：Alberto Ochoa - Zezzatti ; Jöns Sánchez ; Alberto Hernández - Aguilar 等
期刊名称：International Journal of Combinatorial Optimization Problems and Informatics
印刷版ISSN：2007-1558
电子版ISSN：2007-1558
出版年度：2016
卷号：7
期号：1
页码：54-62
语种：English
出版社：International Journal of Combinatorial Optimization Problems and Informatics
其他摘要：In the present study explainsthe design of an intelligent systembased on bio-inspired algorithm as an aid in the strategic planning to improve the disminution of reduced wastage associated with cutting parts of the seat covering, unlike current applications, is focused on an environment that goes beyond simple numerical forecasts and statistical processesto make this job shop. It is based on an advanced algorithm named “Bat Algorithm” that optimizes the strategies to be followed within the cut process, helping with the correct decision supportto achieve competitive advantage in the market. This proposed modelassociated with Bioinspired Algorithmis flexible, adaptive, has learning ability, is robust and fault tolerant. This proposed model is based on methodologyassociated with Bioinspired Algorithms whichprovides optimal strategies to improve competitiveness ina company, the ability of the model can provide strategies that are not obvious because they can find no obvious relationships among variables can help the manager or leader of acompany. This tool is an aid in the process of improving competitiveness because it supports the strategic decisions made inadministrative technology levels of the companies.
其他关键词：Strategic Planning; Decision Support System; Bioinspired algorithm.