Solving a Flowshop Scheduling Problem with Answer Set Programming: Exploiting the Problem to Reduce the Number of Combinations
This work addresses a domain-specific scheduling problem in semiconductor manufacturing, representing an incremental improvement by adapting an existing method to a new application.
The paper tackled the Automated Wet-etching scheduling problem in Semiconductor Manufacturing Systems by applying Answer Set Programming and proposing a range-based method to reduce the number of combinations, resulting in a more efficient solution approach.
Planning and scheduling have been a central theme of research in computer science. In particular, the simplicity of the theoretical approach of a no-wait flowshop scheduling problem does not allow to perceive the problem complexity at first sight. In this paper the applicability of the Answer Set Programming language is explored for the solution of the Automated Wet-etching scheduling problem in Semiconductor Manufacturing Systems. A method based in ranges is proposed in order to reduce the huge number of combinations.