Scheduling a Single Mobile Robot for Feeding Tasks in a Manufacturing Cell
Vinh Dang, Izabela Nielsen, Kenn Steger-Jensen
- Year
- 2011
- Citations
- 10
Abstract
This paper deals with the problem of finding optimal feeding sequence in a manufacturing cell with feeders fed by a mobile robot with manipulation arm. The performance criterion is to minimize total traveling time of the robot in a given planning horizon. Besides, the robot has to be scheduled in order to keep production lines within the cell working without any shortage of parts fed from feeders. A mixed-integer linear programming (MILP) model is developed to find the optimal solution for the problem. In the MILP formulation, a method of maximum and minimum levels for feeders, inspired by the (s, Q) inventory system, is applied to define time window for each feeding task. A case study is implemented at the impeller production line to demonstrate the result of the proposed MILP model.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002