Recommendation System Based on Content and Knowledge Applied to the Management of Material Orders for the Production of Auto Parts
DOI:
https://doi.org/10.5281/zenodo.7017714Keywords:
Content and Knowledge based Recommender System, Warehouse Management System (WMS)Abstract
So far the application of recommender systems have been proposed for application in electronic commerce and information management. However, the industrial sector has processes in which it would be interesting to apply this tool, as in the case of the process of ordering materials in a warehouse for manufacturing auto parts. In this process, in some companies, a group of users (or work cell) ask all the materials needed for making a car part to work on shift. These users have the difficult task of reviewing a long list of materials and select the most appropriate, based on their experience. If the user does not have much experience, this process can be very complicated and time consuming. With the help of a recommender system, the process of ordering materials might be easier for users to request materials for the shift.
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