A recommender system applied to the indirect materials selection process (RS-IMSP) for producing automobile spare parts
详细信息 查看全文
- 作者：Selene Herná ; ndez-Rodrí ; guez ; hdezrod@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Carlos Alberto Herná ; ndez-Lira carloshdzlira@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Adolfo Aguilar-Rico adolforico2@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Georgina Flores-Becerra kremhilda@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Javier Flores-Mé ; ndez xavier_snk@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Odiló ; n Vá ; zquez-Cuchillo odilon_vazquez_c@hotmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Recommender system based on the non-personalized approach ; Selection of indirect materials in warehouse
- 刊名：Computers in Industry
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：82
- 期：Complete
- 页码：233-244
- 全文大小：2775 K
文摘
- class="listitem" id="list_lis0005">
- class="label">•
We develop a recommender system to improve the process of selecting indirect materials to develop auto parts.
- class="label">•
Using this system, the exhaustive search and analysis of long catalog lists are avoided.
- class="label">•
The proposed algorithm starts with a filtering step to select orders requested under similar circumstances.
- class="label">•
The set of filtered orders are used to approximate the indirect materials to suggest, along with the number of elements to suggest for each material.
- class="label">•
We could conclude that this process was automated and improved.