Title :
A Decomposition Method with Cut Generation for Simultaneous Production Scheduling and Routing for multiple AGVs
Author :
Nishi, Tatsushi ; Hiranaka, Yuichiro ; Inuiguchi, Masahiro ; Grossmann, Ignacio E.
Author_Institution :
Osaka Univ., Osaka
Abstract :
Conventional methods for simultaneous production scheduling and routing problem have hierarchical decomposition scheme where production scheduling problem and routing problem are separately solved due to computational complexity. We propose a novel decomposition method with cut generation. The entire problem is decomposed into a upper level subproblem for production scheduling and task assignment problem and a lower level subproblem for collision-free routing of multiple AGVs. The novel idea of the proposed method is the upper level subproblem which is solved by using Lagrangian relaxation technique incorporating cuts generated from a solution of the lower level subproblem. The algorithm solves successively the upper level problem and the lower level problem until a near-optimal solution for original problem is derived. The effectiveness of the proposed method is investigated from numerical experiments.
Keywords :
automatic guided vehicles; computational complexity; optimisation; relaxation theory; scheduling; transportation; Lagrangian relaxation technique; collision-free routing; computational complexity; cut generation; hierarchical decomposition scheme; lower level problem; multiple automatic guided vehicle; near-optimal solution; optimization problem; simultaneous production scheduling; task assignment problem; upper level problem; Automatic control; Flow production systems; Job production systems; Job shop scheduling; Processor scheduling; Production planning; Production systems; Routing; System recovery; Transportation;
Conference_Titel :
Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
978-1-4244-1154-2
Electronic_ISBN :
978-1-4244-1154-2
DOI :
10.1109/COASE.2007.4341680