Manufacturing Process Optimization in the Process Industry

Abstract

This paper introduces a technology, a data-driven optimization model of manufacturing service in intelligent manufacturing process using deep learning algorithm and resource agent (DDR), and a data-driven resource agent that represents available manufacturing resources. Asset agent is an intelligent module of entity production unit, which has powerful functions of data processing and service management. This paper includes the method of designing expert-based processes, the current process realization model, and the key performance indicators (KPI) used to evaluate the optimization work. The model aims to maximize efficiency, reduce the cost of manufacturing resources, improve the production and maintenance efficiency of network resources, and improve the manufacturing service level. Finally, the efficiency and technical feasibility of the model are evaluated through a typical example of industrial product production process.

Process Optimization in Manufacturing Industries Using Simulation Technologies

“…"Collection of data in the database comes first which consists of financial and process information data. In the demand analysis, the data-driven manufacturing model simplifies allocating and arranging factory assets to meet changing demand" [8]. "However, product creation performance cannot be improved when compared with the conventional manufacturing model because the challenges of optimizing the complex and variable production system has not been addressed.…”