Extending the resource-constrained project scheduling problem for disruption management

被引:0
作者
Kuster, Juergen [1 ]
Jannach, Dietmar [1 ]
机构
[1] Univ Klagenfurt, Inst Appl Informat, Univ Str 65-67, A-9020 Klagenfurt, Austria
来源
2006 3RD INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2006年
关键词
real-time decision support; disruption management; resource-constrained project scheduling problem; evolutionary algorithm;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes how the Resource-Constrained Project Scheduling Problem (RCPSP) can be used as a basis for comprehensive disruption management, concerned with both rescheduling as well as potential structural process modifications. It is illustrated, how the RCPSP can be extended by the possibility to represent alternative activities and how the respective constructs can be used to describe various forms of typical interventions. Moreover, an approach for schedule optimization and the resolution of the generalized problem is presented, based on the combination of well-established methodologies and specific evolutionary operators. In an illustrative example it is finally shown how the proposed framework can be applied for the development of real-time decision support systems in the domain of airport ground process management.
引用
收藏
页码:91 / 98
页数:8
相关论文
共 17 条
[1]  
[Anonymous], 2001, OR/MS Today
[2]  
[Anonymous], 2003, J SYSTEM SCI SYSTEMS, DOI DOI 10.1007/s11518-006-0122-x
[3]   Insertion techniques for static and dynamic resource-constrained project scheduling [J].
Artigues, C ;
Michelon, P ;
Reusser, S .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 149 (02) :249-267
[4]  
BAUTISTA J, 1999, IEEE INT S ASS TASK, P411
[5]  
BECK JC, 2000, ARTIFICIAL INTELLIGE, V121
[6]  
CARR FR, 2004, THESIS MIT
[7]  
CLAUSEN J, 2005, 200501 IMM TU DENM
[8]  
ELKHYARI A, 2004, ISS 04 INT SCHED S A, P84
[9]   Project scheduling with multiple modes: A genetic algorithm [J].
Hartmann, S .
ANNALS OF OPERATIONS RESEARCH, 2001, 102 (1-4) :111-135
[10]   An evolutionary algorithm for resource-constrained project scheduling [J].
Hindi, KS ;
Yang, HB ;
Fleszar, K .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (05) :512-518