A Classification Schema for the Job Shop Scheduling Problem with Transportation Resources: State-of-the-Art Review

被引:29
|
作者
Nouri, Houssem Eddine [1 ]
Driss, Olfa Belkahla [1 ]
Ghedira, Khaled [1 ]
机构
[1] Univ Tunis, Inst Super Gest Tunis, Strategies Optimisat & Informat IntelligentE, 41 Ave Liberte, Tunis, Tunisia
关键词
Scheduling; Transport; Job shop; Robot; Flexible manufacturing system; AUTOMATED GUIDED VEHICLES; GENETIC ALGORITHM; SEARCH ALGORITHM; MACHINES; FMS; AGVS; SYSTEM;
D O I
10.1007/978-3-319-33625-1_1
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 Job Shop scheduling Problem (JSP) is one of the most known problems in the domain of the production task scheduling. The Job Shop scheduling Problem with Transportation resources (JSPT) is a generalization of the classical JSP consisting of two sub-problems: the job scheduling problem and the generic vehicle scheduling problem. In this paper, we make a state-of-the-art review of the different works proposed for the JSPT, where we present a new classification schema according to seven criteria such as the transportation resource number, the transportation resource type, the job complexity, the routing flexibility, the recirculation constraint, the optimization criteria and the implemented approaches.
引用
收藏
页码:1 / 11
页数:11
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