Simulation-based optimization for the integrated scheduling of production and logistic systems

被引：27

作者：

Frazzon, Enzo Morosini ^{[1
]}

Albrecht, Andre ^{[1
]}

Hurtado, Paula Andrea ^{[1
]}

机构：

[1] Univ Fed Santa Catarina, BR-88040001 Florianopolis, SC, Brazil

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 12期

关键词：

Inventory control; production planning and scheduling; Supply chains and networks; Modeling; simulation; control and monitoring of manufacturing processes; SUPPLY CHAIN MANAGEMENT; HYBRID SIMULATION; DELIVERY;

D O I：

10.1016/j.ifacol.2016.07.581

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The scheduling of production and logistic systems is challenging due to their structural complexity and the dynamic requirements which influence their operation. In this paper we propose and test a simulation-based procedure for defining optimal integrated schedules for production and logistic processes along a global supply chain involving a production job shop and intermodal transport. The procedure is based on a hybrid simulation-optimization approach, which combines linear programing, discrete event simulation and a numerical experiment. The combination provides the capability of dealing with complex optimization problems, while properly considering stochastic behaviors. The results obtained in a test case scenario evidenced the capability of the proposed approach. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：1050 / 1055

页数：6

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