Based on actual industrial project on which the Gerstner laboratory has collaborated, we present a multiple-level scheduling approach as a mean to efficiently apply agent-based planning systems in high-volume production environment. Brief description of efficient and reconfigurable high-level scheduler based on linear programming, as well as design elements of lowlevel agent-based planning are ...

We focus on planning as satisfiability in simple nondeterministic domains. By “simple” we mean specified in a simple extension to the STRIPS formalism allowing for specifying actions with nondeterministic effects. This allows us to simplify and extend the theory presented in (Giunchiglia 2000). The result is a planning system which, in simple nondeterministic domains, is competitive with other ...

BACKGROUND In total hip arthroplasty (THA), tilting of the pelvis alters the cup placement angles. Thus, the cup angles need to be planned with consideration of the effects of pelvic tilt. In the present study, we evaluated the efficacy of preoperative planning for implant placement with consideration of pelvic tilt in THA, and the accuracy of a CT-based computer navigation for implant position...

Treatment planning for intensity modulated radiation therapy (IMRT) is challenging due to both the size of the computational problems (thousands of variables and constraints) and the multi-objective, imprecise nature of the goals. We apply hierarchical programming to IMRT treatment planning. In this formulation, treatment planning goals/objectives are ordered in an absolute hierarchy, and the p...

The objective here was to investigate the theoretical benefit of using tree species stratum forest inventory data instead of stand-level mean data in forest-planning simulations. This comparison was based on timing differences in thinning and clear-cuttings during a 20-year simulation period. The development of stand characteristics (age, basalarea, volume, dominant height, mean height, mean di...

Motivated by sawmill production planning, this paper investigates multi-period, multi-product (MPMP) production planning in a manufacturing environment with nonhomogeneous raw materials, and consequently random processes yields. A two-stage stochastic linear program with recourse is proposed to address the problem. The random yields are modeled as scenarios with stationary probability distribut...