Simulation-based production scheduling approaches are emerging as altematives to optimization and simpler approaches such as priority d e s . This paper presents an application of a simulation-based fmite scheduling at Albany In-tematio~l, the largest manufacturer of paper machine clothing in the world Simulation is used as a decision suppori twl for manual schedule creation. User experiences have been encouraging. We argue that an optimization-based approach is not necessarily the most economical and identify a number of tentative key enablers of a simulation-based solution. The case indicates that a simulation-based solutiou is a viable option when the production process does not include combination of materials and local sequencing is adequate. A simulation-based solution capitaliis on t h i s existing s o w e of tacit knowledge by giving expert human schcdulers tools for testing and improving schedulff.