Energy Efficient Process Planning for Resource-Constrained Machining Systems

Traditionally process planning is concerned with reducing energy consumption at a machining process level and is done on the assumption that the manufacturing resources at the shop floor are sufficient and available all the time. This paper presents an energy-efficient process planning approach for resource-constrained machining systems. The interactive effects of process routes and cutting parameters on energy consumption at machining process level and at shop floor level are explicitly analyzed. A multi-objective optimization model of process planning is presented to take minimum energy consumption and minimum makespan as objectives, which is solved by a HBMOA algorithm. The energy saving performance of the proposed process planning approach is demonstrated through case studies.