Joel L. Wolf, Mark S. Squillante, et al.
IEEE Transactions on Knowledge and Data Engineering
This paper discusses scheduling algorithms for a certain kind of manufacturing environment, called the 'flexible flow line'. Two scheduling problems are considered. 'Loading' decides when each part should be loaded into the system. 'Mix allocation' selects the daily part mix. The goals are to maximize throughput and reduce WIP. New heuristic algorithms specially suited to solve these problems in the context of a flexible flow line are described. The paper also discusses experience with the use of an experimental implementation of these algorithms to solve such problems arising in a real production line.
Joel L. Wolf, Mark S. Squillante, et al.
IEEE Transactions on Knowledge and Data Engineering
György E. Révész
Theoretical Computer Science
Xiaozhu Kang, Hui Zhang, et al.
ICWS 2008
Ohad Shamir, Sivan Sabato, et al.
Theoretical Computer Science