Integration approach to virtual-driven discrete event simulation for manufacturing systems
International journal of computer integrated manufacturing (Print)
Manufacturing systems designers and planners ever tries to adopt the modern technologies and techniques to design and validate different production processes. These modern techniques help to facilitate the better, faster, cheaper and reliable products in market to meet the customer demands. It is very useful if the manufacturing system/assembly line performance to be verified in the early stage of resource planning. Strong collaboration between the machine user and its builder can make it
... le. Virtual environments are the new emerging approaches which not only provide the collaboration but also help in the resources design and verification based on the product and processes. The machine builder and its user can reconfigure the machine setups from its components in virtual model in an agile and concurrent mode. To examine the impacts of reconfigured machine components activities at low level on the high level business productivity there must be a link between the virtual environment and discrete event analysis. Therefore to integrate the virtual engineering tools data with the discrete event simulation this paper proposes an approach of virtual driven generic discrete event simulation modelling (named as VDsim as a packaged tool) to facilitate solid decisions prior to production with the help of real times generated by virtual machines. The success of this discrete event simulation analysis depends on the quality of input data its compatibility and integration process. The data link needs to have a seamless interfacing between these independent applications in a generic form to increase models reusability. This integration package not only brings these two applications together but also facilitates the production planners and schedulers to examine the most possible optimum status for the resources on the production line in-term of the cost, energy consumptions and impacts of the machines reliabilities on throughputs.