Scheduling & control: rolling horizon scheduling in large job shops
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Supply chain planning: rolling horizon scheduling of multi-factory supply chains
Proceedings of the 35th conference on Winter simulation: driving innovation
Factory scheduling: implementing a simulation-based scheduling system for a two-plant operation
Proceedings of the 35th conference on Winter simulation: driving innovation
The deployment scheduling analysis tool (DSAT)
Mathematical and Computer Modelling: An International Journal
An effective lower bound on Lmax in a worker-constrained job shop
Computers and Operations Research
Hi-index | 0.01 |
For the multi-machine job shop scheduling problem, a conceptually simple simulation-based procedure (first proposed by Lawrence and Morton 1986) is shown to be both effective and efficient in providing optimal, or near optimal, schedules for minimizing the maximum lateness, Lmax. Computational experimentation is used to identify the conditions under which the approach is most viable.