A decision support system for business process planning

被引:28
作者
Völkner, P [1 ]
Werners, B [1 ]
机构
[1] Ruhr Univ Bochum, Fac Econ & Business Adm, D-44780 Bochum, Germany
关键词
decision support system; business process planning; simulation;
D O I
10.1016/S0377-2217(99)00273-8
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In application and theory, great importance is attached to the optimisation of business processes, mostly without explaining into detail the criteria and the alternatives considered for an optimisation. Especially, quantitative criteria can be valuable to evaluate improvements of business processes, then quantitative methods of operations research are of special importance. Many problems of business processes have similarities to problems in the context of project management or production process planning which have already been solved successfully. Particularly simulation-based approaches have been proven to be appropriate in supporting decision making with respect to complex dynamic systems with uncertain data as is the optimisation of business processes. In the following, a generally applicable, object-oriented, simulation-based decision support system GEPSIS is introduced which is specifically developed for the improvement of business processes. The objects are designed in such a way that they are sufficient to model a great variety of different business processes. The pictorial representation assists in analysing the static structure of the process, the simulation system allows the quantitative evaluation of the dynamic behaviour. A case study shows its advantages. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:633 / 647
页数:15
相关论文
共 50 条
[41]   Nursing process decision support system for urology ward [J].
Hao, Angelica Te-Hui ;
Wu, Lee-Pin ;
Kumar, Ajit ;
Jian, Wen-Shan ;
Huang, Li-Fang ;
Kao, Ching-Chiu ;
Hsu, Chien-Yeh .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2013, 82 (07) :604-612
[42]   Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process [J].
Kunath, Martin ;
Winkler, Herwig .
51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 :225-231
[43]   Maintaining business process compliance despite changes: a decision support approach based on process adaptations [J].
Seyffarth, Tobias ;
Kuehnel, Stephan .
JOURNAL OF DECISION SYSTEMS, 2022, 31 (03) :305-335
[44]   Tactical Business-Process-Decision Support based on KPIs Monitoring and Validation [J].
Miguel Perez-Alvarez, Jose ;
Mate, Alejandro ;
Teresa Gomez-Lopez, Maria ;
Trujillo, Juan .
COMPUTERS IN INDUSTRY, 2018, 102 :23-39
[45]   Decision Support for Financial Planning [J].
Kundisch, Dennis ;
Dzoienziol, Jochen .
JOURNAL OF DECISION SYSTEMS, 2008, 17 (02) :175-209
[46]   Towards a decision support system for radiotherapy business continuity in a pandemic crisis [J].
Reuter-Oppermann, Melanie ;
Mueller-Polyzou, Ralf ;
Georgiadis, Anthimos .
JOURNAL OF DECISION SYSTEMS, 2022, 31 (1-2) :40-67
[47]   IDSS-BM: Intelligent Decision Support System for Business Models [J].
Hamrouni, Besma ;
Korichi, Ahmed ;
Bourouis, Abdelhabib .
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND NEW TECHNOLOGIES (ICSENT '18), 2018,
[48]   Evolution of a decision support system for human resource planning in a petroleum company [J].
Mohanty, RP ;
Deshmukh, SG .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1997, 51 (03) :251-261
[49]   A DECISION SUPPORT SYSTEM FOR PLANNING MAINTENANCE PROCESSES IN A TRANSHIPMENT CONTAINER TERMINAL [J].
Fancello, Gianfranco ;
Naseddu, Marco ;
Ferrari, Andrea ;
Fadda, Paolo .
HMS 2008: 10TH INTERNATIONAL WORKSHOP ON HARBOR MARITIME MULTIMODAL LOGISTICS MODELING & SIMULATION, 2008, :288-+
[50]   A TRANSITION PLANNING METHOD APPLIED IN A DECISION SUPPORT SYSTEM FOR POTPLANT NURSERIES [J].
SAEDT, APH ;
HENDRIKS, THB ;
SMITS, FM .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1991, 52 (02) :142-154