Reduced Milk Waste for Dairy Plant using Automated Rule Mining Technique

Resumen

Current DSCs (Dairy Supply Chains) are experiencing the danger of rising dairy wastages
resulting due to globally expansions of supply chains and rising customer constraints on
quality and safety. The potential to incorporate wastes in the production cycle or perform
recycle for using it again is a vital solution for conserving resources. Due to the challenges
associated with the attribute of sustainability in the dairy circular supply chain, there has been
interest shown towards consistent preparation and supervision of quality commitment policies
adopted in the circular supply chain network. In this work, an IDSAM (Improved Decision
Support system based on automated rule mining techniques) is proposed. The objective of
proposed system is to help the managers in dairy plant to plan good logistics so that the
quality is maintained and dairy wastes reduced. It is proven from the results of the
eexperimentss that the proposed model is quite efficient in terms of metrics including
precision, recall, accuracy and f- measure.