Work planning in low-volume assembly lines under ergonomic constraints

Comparative Models for Minimizing Ergonomic Risk in Assembly Lines

We present a new mathematical model for the assembly line balancing problem with the objective of maximizing the line comfort to operators. Besides minimizing discrepancies between the ergonomic risks of workstations, balancing is subject to temporal and spatial conditions for the workstations. To evaluate the performance of the proposed model, we compare it with other mathematical model whose ...

Planning under Resource Constraints

This paper outlines the basic principles underlying reasoning about resources in IPP, which is a classical planner based on planning graphs originally introduced with the graphplan system. The main idea is to deal with resources in a strictly action-centered way, i.e., one speciies how each action consumes or produces resources, but no explicit temporal model is used. This avoids the computatio...

Planning under Time Constraints in Stochastic Domains

We provide a method based on the theory of Markov decision processes for e cient planning in stochastic domains Goals are encoded as reward functions expressing the desirability of each world state the planner must nd a policy mapping from states to actions that maximizes future rewards Standard goals of achievement as well as goals of maintenance and prioritized combinations of goals can be sp...

Preallocation and Planning under Stochastic Resource Constraints

Resource constraints frequently complicate multi-agent planning problems. Existing algorithms for resource-constrained, multi-agent planning problems rely on the assumption that the constraints are deterministic. However, frequently resource constraints are themselves subject to uncertainty from external influences. Uncertainty about constraints is especially challenging when agents must execut...

Sampling-Based Planning Under Differential Constraints