Process Route Optimization for Generalized Energy Efficiency and Production Time in Machining System Total consumption of direct electric energy and average embodied energy of cutters and cutting fluid as well as other auxiliary resource consumed in machining a part are defined as generalized energy consumption. In this paper, a process route optimization model oriented for improvement of generalized energy efficiency and production time is proposed. The selection of machining sequence, machine tools, cutting tools, tool access direction and processing parameters in process route is optimized through a SAQPSO hybrid algorithm. Results indicate that the balance between generalized energy efficiency and machining time is achieved and detailed analysis of process route influence on these two objectives is given afterwards.

Datadriven oriented optimization of resource allocation in the forging process using Biobjective Evolutionary Algorithm Abstract   Resource allocation in the forging process of the steel production industry is an important element of the material supply in upstream processes, and the subsequent processing of semifinished products downstream. However, the existing literature rarely discusses issues related to this problem. In this study, the information flow is built by referring to specifications and process logic, which is a kind of preprocessing in data analysis flow in order to break the initial barrier of resource allocation in forging. In addition, Biobjective Evolutionary Algorithm (BOEA) is proposed to optimize the resource allocation in the forging process. Using the built information flow, the available multiple forging process resources can be effectively connected, and information of available resource combinations can be established for orders. Since real users have preferences for different objectives in practice, experiment results show that the proposed BOEA can deal with these preferences by effectively optimizing both the remnants (the remaining materials) and the execution cost, and the profit contribution is also proved by effective cost savings.