Handling disruptions in manufacturing systems: An immune perspective

被引:34
作者
Darmoul, Saber [1 ]
Pierreval, Henri [2 ]
Hajri-Gabouj, Sonia [3 ]
机构
[1] King Saud Univ, Coll Engn, Dept Ind Engn, Riyadh, Saudi Arabia
[2] IFMA, UMR CNRS 6158, LIMOS, F-63175 Aubiere, France
[3] Ctr Urbain Nord, INSAT, URAII, Tunis 1080, Tunisia
关键词
Manufacturing systems; Monitoring and control; Biological immune system; Artificial immune system; Multi agent system; Ontology; DIAGNOSIS; NETWORK;
D O I
10.1016/j.engappai.2012.09.021
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One of the major issues in the monitoring and control of manufacturing systems is to determine how to effectively deal with unexpected disruptions (e.g. material unavailability, resource failures, unavailability of operators, rush orders, etc.). Existing approaches and tools offer few concepts that are specific enough and sufficiently generic to help in handling a broad variety of such unexpected events. The biological immune system potentially offers interesting features to face the threats (bacteria, viruses, cancers, etc.) that may harm an organism. This research aims to investigate this potential for the monitoring and control of manufacturing systems at the occurrence of disruptions. Based on analogies that we point out, we suggest a framework to help with the design of software tools that are more able to assist decision makers in dealing with various types of disruptions occurring in a manufacturing system. A first prototype implementation, developed using a multi agent approach, contributes to show the feasibility and the interest of this immune based framework. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:110 / 121
页数:12
相关论文
共 43 条
[1]  
Aickelin Uwe, 2007, Information Security Technical Report, V12, P218, DOI 10.1016/j.istr.2007.10.003
[2]  
[Anonymous], INT J COMPUT SYST SC
[3]  
[Anonymous], DESIGN PRINCIPLES IM
[4]   An agent-based approach for integrating manufacturing operations [J].
Anosike, A. I. ;
Zhang, D. Z. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2009, 121 (02) :333-352
[5]   Executing production schedules in the face of uncertainties: A review and some future directions [J].
Aytug, H ;
Lawley, MA ;
McKay, K ;
Mohan, S ;
Uzsoy, R .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2005, 161 (01) :86-110
[6]  
Bradley DW, 2000, IEEE SYS MAN CYBERN, P107, DOI 10.1109/ICSMC.2000.884973
[7]   Operation management in reconfigurable manufacturing systems: Reconfiguration for error handling [J].
Bruccoleri, M ;
Pasek, ZJ ;
Koren, Y .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2006, 100 (01) :87-100
[8]  
Bruccoleri M, 2003, INT J PROD RES, V41, P1393, DOI 10.1080/13528160310007510
[9]  
Bussmann S, 2001, ETFA 2001: 8TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 2, PROCEEDINGS, P481, DOI 10.1109/ETFA.2001.997722
[10]  
Cauvin A., 2005, ANAL MODELISATION AM