Integrated Optimization Model And Method Of Process Planning And Job Shop Scheduling For Energy Saving Of Mechanical Machining System

Machinery manufacturing industry,which is an important pillar industry of China national economy,consumes a significant portion of total energy consumption in industry sector and produces vaiables pollutions and high carbon emissions,and becomes a key field focused on energy conservation in China national sustainability-reform implementation.The mechanical machining system,which is made up of machines,workpieces,cutting tools,fixture tools,supporting equipments etc.,is responsible for a large portion of the total consumed energy.The enenergy consumption effects of mechanical machining system tend to be quite complicated,varying substantially with respect to multiple influence factors.The energy saving potentials of mechanical machining system is quite promising.How to achieve energy savings of mechanical machining system and to explore the valuable insights for practitioners to reduce energy consumption is an imperative research project worth of further investigation.With the support of the National High-Tech R&D Program of China(863 Program)(No.2014AA041506)and National Natural Science Foundation of China(No.51475059),this research focused on integration of process planning,cutting parameter optimization and job shop scheduling for energy saving of mechanical machining system.The detailed research points are elaborated as follows.Firstly,the energy consumption characteristics of mechanical machining system are explicitly analyzed and the energy consumption modeles are developed by considering multiple process flexibilities,variable cutting parameters and flexible job shop schedules.Then a set of factors which influence the energy consumption of mechanical machining system are explicitly anayzed,based on which the operational strategies for energy savings are proposed from an integration perspective.Secondly,the interactions of process plans and cutting parameters on energy consumption is analyzed,based on which the interation problem of process planning and cutting parameters optietimization model of process route and cutting parameters is proposed to take the minimum energy consumption and balance of machine workloads as the optimization objectives,which is solved by a Multi-objective Simulated Annealing algorithm to obtain optimal solutions with related to machine and tool selection,operation precedences and cutting parameters.The energy-saving performance of the proposed multi-objective onintegration model is demonstrated through case studies by comparing with the energy-saving performance of thet two-stage optimization problem.Thirdly,based on the interative effects of process plans and job shop schedules on energy consumption,the intergration problem of process planning and job shop scheduling for energy saving of mechanical machining system is explicitly described.By considering minimum energy consumption and shortest makespan as the optimization objectives,a multi-objective integration model of process planning and job shop scheduling is proposed to optimize the operation precedence,machine and tool selection,operation priority on machines.A multi-objective Honey Mating Opitmization algorithm is proposed to solve the proposed multi-objetive integration model.Through case studies,the energy saving performance of the proposed multi-objective integration model is verified and the influence effects of process plans and job shop schedules on energy consumption are revealed.Finally,by considering the interations of process plans,cutting parameters and job shop schedules on energy consumption of mechanical machining,the intergration problem of process planning,cutting parameter optimization and job shop scheduling for energy saving of mechanical machining system is described and the framework for the intergration problem is proposed.By taking minimum energy consumption and shortest makespan as two optimization objectives,a multi-objective integration model of process planning,cutting parameter optimization and job shop scheduling is proposed,which is solved by a multi-objective Tabu Search algorithm.Through case studies,the energy-saving performance of the integrated process planing,cutting parameter optimization and job shop scheduling is demonstrated by comparing with two-stage integration problems.