Quantitative Effects of Advanced Resource Constructs in Business Process Simulation

被引:5
|
作者
Peters, Sander [1 ]
Dijkman, Remco [1 ]
Grefen, Paul [1 ]
机构
[1] Eindhoven Univ Technol, Eindhoven, Netherlands
关键词
IDENTIFICATION; REPRESENTATION; PATTERNS;
D O I
10.1109/EDOC.2018.00024
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Simulation is often used to provide quantitative predictions on the performance of business processes. However, the current available business process simulation engines only support basic resource constructs and even these are sometimes lacking. This leads to simulated performance metrics that can deviate significantly from the real process perfOrmance. This paper provides an overview of the quantitative effects of incorporating these advanced resource constructs in business process simulation. Experiments are conducted to assess whether there are significant differences between the effects of using bask resource constructs and using their advanced counterparts. The main conclusions are: that the allocation strategy deployed by the resources is of significant influence on the performance of the process; that the ability to assign resources to multiple roles has a significant influence; and that simulation replications are absolutely necessary to produce reliable simulation results. These insights can be used by researchers and practitioners to understand the validity of the results of their simulation studies and as a direction for future research.
引用
收藏
页码:115 / 122
页数:8
相关论文
共 50 条
  • [21] From the Resource to the Business Process Risk Level
    Fenz, S.
    PROCEEDINGS OF THE SOUTH AFRICAN INFORMATION SECURITY MULTI-CONFERENCE, 2010, : 100 - 109
  • [22] Quantitative Analysis of Resource-Constrained Business Processes
    Oliveira, Cesar Augusto L.
    Lima, Ricardo Massa F.
    Reijers, Hajo A.
    Ribeiro, Joel Tiago S.
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2012, 42 (03): : 669 - 684
  • [23] Advanced Business Simulations Incorporating Business and Process Execution Data
    Drobek, Marc
    Gilani, Wasif
    Redlich, David
    Molka, Thomas
    Soban, Danielle
    BUSINESS MODELING AND SOFTWARE DESIGN, BMSD 2014, 2015, 220 : 119 - 137
  • [24] Advanced process simulation and training
    Stropky, D
    Chiu, C
    2001 INTERNATIONAL CHEMICAL RECOVERY CONFERENCE: CHANGING RECOVERY TECHNOLOGY TO MEET THE CHALLENGES OF THE PULP AND PAPER INDUSTRY, 2001, : P149 - P152
  • [25] BUSINESS PROCESS SIMULATION FOR CLAIMS TRANSFORMATION
    Grabau, Mark
    Conley, Quinn
    Marshall, Melissa
    2013 WINTER SIMULATION CONFERENCE (WSC), 2013, : 1784 - 1792
  • [26] Effective uses of Business Process Simulation
    Greasley, A
    PROCEEDINGS OF THE 2000 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2000, : 2004 - 2009
  • [27] Enterprise architecture for business process simulation
    Bahrami, A
    Sadowski, D
    Bahrami, S
    1998 WINTER SIMULATION CONFERENCE PROCEEDINGS, VOLS 1 AND 2, 1998, : 1409 - 1413
  • [28] Managing change with business process simulation
    Loon, HS
    JOURNAL OF CONSUMER AFFAIRS, 1999, 33 (01) : 215 - 217
  • [29] New method of business process simulation
    Zhang, Ninghan
    Xue, Huacheng
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 17 (11): : 18 - 20
  • [30] SIMULATION STANDARD FOR BUSINESS PROCESS MANAGEMENT
    Januszczak, John
    Hook, Geoff
    PROCEEDINGS OF THE 2011 WINTER SIMULATION CONFERENCE (WSC), 2011, : 741 - 751