Abstract Real problems ,require ,the ,combination ,of time ,and resources management. In the last decade, different approaches,that integrate planning ,and ,scheduling ,have appeared. In this paper we present PIPSS, a system that combines,traditional state space ,search ,planning ,with constraint satisfaction algorithms for scheduling, so that it can also reason about temporal and,multicapacity
... [Show full abstract] resources problems. PIPSS integrates planning ,techniques ,derived from,the FF planner ,and ,scheduling ,methods ,from ,the OOSCAR scheduler. Its planningand scheduling integration scheme,is grounded ,on a ,system ,called IPSS. The most remarkable,feature of PIPSS is that ,it exhibits ,an open architecture for planning and scheduling integration, based oninterfaces, which allows the interoperability of different planning algorithms, scheduling techniques and integration schemes. PIPSS can then be configured ,to work ,using any combination,of them. Experimental results show that PIPSS outperforms,state of the art planner in some,of the domains tested.