Research on the Integration Model of Process Planning and Job-Shop Scheduling

2014 ◽  
Vol 513-517 ◽  
pp. 1605-1608
Author(s):  
Yan Qiu Xiao ◽  
Lei Wang ◽  
Qi Li
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Operation Mode ◽  
Virtual Manufacturing ◽  
Parallel Operation ◽  
Integration Model ◽  
Shop Scheduling ◽  
Integrated Optimization ◽  
Process Route

In order to meet the flexible requirements of enterprise production, an integrated optimization model based on the virtual manufacturing unit of process planning and job-shop scheduling is established. The model makes manufacturing resources information as a combining point and makes the two separate system integrated optimization. Then process route is established in three stages. At the same time uses hierarchy parallel operation mode to transfer and sharing the information of manufacturing resource by the layer of enterprise, work shop and parts. And the parallel mode of process and scheduling work meet the match selection of process and resources, this provides a theoretical basis for the real-time optimization of process planning and shop scheduling.

Energy-aware integrated optimization of process planning and scheduling considering transportation

2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840114 ◽  
Author(s):  
Mei Dai ◽  
Zhicheng Ji ◽  
Yan Wang
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Process Planning ◽  
Job Shop ◽  
Great Influence ◽  
Work Piece ◽  
Energy Aware ◽  
Total Energy Consumption ◽  
Shop Scheduling ◽  
Integrated Optimization

This paper concentrates on energy conservation in flexible manufacturing system. In addition to the energy saving of single machine tool, it is significant to reduce energy consumption in the two sub-systems of process planning and shop scheduling. Compared to traditional methods that consider the two sub-systems separately, integrated optimization of these sub-systems further improves the energy efficiency of the job shop. Furthermore, the transportation of jobs and semi-manufactured jobs in the process have been ignored in previous research, which has a great influence on the process routes selecting, machine dispatching and energy consumption. Therefore, this paper proposes an energy-aware multi-objective integrated optimization model of process planning and shop scheduling considering transportation. Parameters are optimized simultaneously including work piece machining feature selecting, process method selecting, processing sequence and machine dispatching of each job. The non-dominated sorting genetic algorithm is adopted to minimize the total energy consumption and makespan. Finally, a case study using the proposed model is employed to verify that energy consumption of transportation has authentically influence on total energy consumption and scheduling scheme.

Research on Process Planning for the Job Shop Scheduling Integration

2013 ◽  
Vol 456 ◽  
pp. 620-623
Author(s):  
Xiang De Liu ◽  
Yi Zhang ◽  
Yan Li
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Shop Scheduling ◽  
Combination Model ◽  
Basic Model ◽  
Process Specification ◽  
New Process ◽  
Virtual Process ◽  
Process Tree

For the problem of integration between process planning and job shop scheduling in CIMS, a new process planning method based on the process tree is proposed in this paper. Characters of process-tree, basic model and combination model of process-tree are defined in the paper. In addition, virtual process and redundant process path of the process-tree are also introduced, which are used to extend the scope of process-tree utilization. Through the comparison with ALPS (A Language for Process Specification) and AOS, advantages of the process-tree are shown.

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