Strategic and Sustainable ERP Decision Framework: Integrating Multi-Criteria Analysis with Deep-A-CNN-LSTM Models in Corporate Strategy

Customizing enterprise resource planning (ERP) software to meet a company's unique operational requirements is a crucial consideration throughout implementation. It offers a framework in this post to help management make decisions about customization choices and the capabilities needed to implement them. This structure allows us to identify several openings for tailoring the ERP system and company processes. A preprocessing step, feature extraction, and training the model make up the three phases of the said approach. The preprocessing steps include extracting summary metrics and performing temporal principal component analysis (PCA). One method for extracting features is Kernel Principal Component Analysis, or Kernel PCA. During the training process, a Deep-A-CNN-LSTM was utilized. With an average accuracy of 92.46%, the suggested method outperforms LSTM and CNN.