Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i41/100874
Year: 2016, Volume: 9, Issue: 41, Pages: 1-8
Original Article
D. Sreeramulu1*, Y. Sagar1 , P. Suman2 and A. Satish Kumar1
1Department of Mechanical Engineering, Aditya Institute of Technology and Management, Tekkali - 532201, Andhra Pradesh, India; [email protected], [email protected], [email protected] 2Department of Mechanical Engineering, Centurion University of Technology and Mangement, Parlakhemundi - 761211, Odisha, India; [email protected]
*Author for correspondence
D. Sreeramulu Department of Mechanical Engineering, Aditya Institute of Technology and Management, Tekkali - 532201, Andhra Pradesh, India; [email protected]
This paper presents a new approach towards the integration of process planning and scheduling functions in the manufacturing systems using Petri nets and genetic Algorithm. The modelling and cost estimation technique is based on a new Petri net model: the PP-net (Process Planning net) which represents manufacturing knowledge in the form of precedence constraints and incorporates the cost of machining operations in each operation transition. Using this model as the base, the process plan for the part is developed taking into account the manufacturing costs caused by the machine, setup and tool changing in addition to the pure operation cost. The method proceeds in the cost calculation by attaching a specific data structure to each PP-net transition which describes the associated machine, setup and the tool for the operation modelled by the transition. After the model is created, it is analyzed for the cost and the minimum time of processing of the part. Scheduling is done using Genetic Algorithms to find the minimum tardiness as the objective on three parts which use the same machines and setups.
Keywords: CAPP, PNML, PP-net, Process planning, Scheduling
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