Plant Simulation software enables the simulation and optimization of production systems and processes. Using Plant Simulation, you can optimize material flow, resource utilization and logistics for all levels of plant planning from global production facilities, through local plants, to specific lines. In times of increasing cost and time pressures in production, along with ongoing globalization, logistics has become a key factor in the success of a company. The need to deliver JIT (just-in-time)/ JIS (just-in-sequence), introduce Kanban, plan and build new production lines and manage global production networks (to name a few) requires objective decision criteria to help management evaluate and compare alternative approaches. Plant Simulation helps create digital models of logistic systems (e.g., production) to explore the systems’ characteristics and to optimize their performance. The digital model enables users to run experiments and what-if scenarios without disturbing an existing production system or – when used in the planning process – long before the real system is installed. Extensive analysis tools, statistics and charts let users evaluate different manufacturing scenarios and make fast, reliable decisions in the early stages of production planning. Plant Simulation helps users to Detect and eliminate problems that otherwise would require cost- and time consuming correction measures during production ramp up Minimize the investment cost of production lines without jeopardizing required output, Optimize the performance of existing production systems by taking measures that have been verified in a simulation environment prior to implementation.
Cite this article:
Kuldeep Kumar Verma, Vivek Babele. Evaluation and Enhancement of Transfer line in Production Process by Simulation. Research J. Science and Tech. 2020; 12(2): 110-122. doi: 10.5958/2349-2988.2020.00014.5
Kuldeep Kumar Verma, Vivek Babele. Evaluation and Enhancement of Transfer line in Production Process by Simulation. Research J. Science and Tech. 2020; 12(2): 110-122. doi: 10.5958/2349-2988.2020.00014.5 Available on: https://rjstonline.com/AbstractView.aspx?PID=2020-12-2-3