DocumentCode :
182918
Title :
ILOG-based mixed planning and scheduling system for job-shop manufacturing
Author :
Raileanu, Silviu ; Borangiu, Theodor ; Morariu, Octavian ; Stocklosa, Octavian
Author_Institution :
Dept. of Autom. & Ind. Inf., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear :
2014
fDate :
22-24 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
The paper presents the design and realization of an optimization model for the jobshop planning and execution problem. The computational model is realized in using the IBM ILOG OPL application. The computation of optimized planning and scheduling is performed using the constraint programming technique. The model contains the input data (client orders and resource status), the objective function (makespan minimization) and the set of constraints related to the real execution of products and to the limitations of the production system. The proposed model, implemented in ILOG OPL, is integrated into a centralized Scheduling System which transfers the planning and scheduling results to the shop floor automation layer of the Manufacturing Execution System (MES).
Keywords :
constraint handling; job shop scheduling; minimisation; production engineering computing; production planning; IBM ILOG OPL application; ILOG-based mixed planning; MES; centralized scheduling system; client orders; computational model; constraint programming technique; job-shop manufacturing; jobshop execution problem; jobshop planning; makespan minimization; manufacturing execution system; objective function; optimization model; production system; resource status; shop floor automation layer; Data models; Job shop scheduling; Manufacturing; Optimization; Planning; Processor scheduling; constraint programming; job shop layout; operation and resource scheduling; production planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-3731-8
Type :
conf
DOI :
10.1109/AQTR.2014.6857898
Filename :
6857898
Link To Document :
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