Open AccessInvestigation of the influence of the number of modules of a multicluster technological complex and the operations performed by them on the overall performance of the installation using simulation simulations
Author(s) -
Igor Nikolaevich Kulikov,
L. Kolesnik
Publication year - 2018
Publication title -
vestnik voronežskogo gosudarstvennogo universiteta inženernyh tehnologij
Language(s) - English
Resource type - Journals
eISSN - 2310-1202
pISSN - 2226-910X
DOI - 10.20914/2310-1202-2018-2-119-124
Subject(s) - computer science , throughput , schedule , cluster (spacecraft) , scheduling (production processes) , task (project management) , wafer , variety (cybernetics) , distributed computing , mathematical optimization , mathematics , systems engineering , engineering , materials science , nanotechnology , artificial intelligence , telecommunications , wireless , programming language , operating system
Variety of compositions of multicluster tools determines the development of methods aimed at analysis and search of feasible compositions, which meet the requirements and optimal performance (throughput) criteria. Very often in the industry, there is a task to find optimum utilization of the cluster tool. To find a solution various approaches are used, such as input in the system several flows of the semifinished products, increasing overall number of the arms of the robot, etc. In this article cluster tool and throughput dependence on quantity of performed operations of the least loaded module are investigated. It is shown, that with the help of this approach one can easily simplify both finding the solution of the task to composite cluster tool with flows of two different types of wafers and determining schedule of the wafers for maximum and minimum throughput. Relevance of the article is stipulated by substantive and complex choices of both finding optimal composition of the cluster tool and scheduling semifinished products flows (in accordance with variations of the operations in modules) at both the design and exploitation stage.