A General Model of Mobile Environments: Simulation Support for Strategic Management Decisions

Since the ability of workforce management systems to handle mobility induced challenges of mobile environments like data-communication cut-offs, reduced network bandwidth, and security concerns improved recently, the optimization efforts of mobile enterprises increasingly focus on the organizational setup of their mobile environment. This includes issues like, e.g., the dimension and staffing of regional subdivisions, qualification balance of the workforce, and resource allocation strategies. While this multitude of possible adjustment parameters for optimization prevents from the analytical prediction of organizational change efforts, simulation is a promising approach to analyze mobile environments and their change. In this work we present a formal model representing a generalization of mobile environments. This model can be utilized to examine the cost situation and performance of both real mobile enterprises and projected future development scenarios of such enterprises. The model is developed using colored petri nets (CPN) and the software suite CPN Tools. We show that our model is capable of predicting the outcomes of organizational change projects by the utilization of simulation and present a validation of our model based on real-world data of a German gas and power supply.

[1]  Hajo A. Reijers,et al.  Analysis of resource-constrained processes with colored petri nets , 2005 .

[2]  Harald C. Gall,et al.  Architectural concerns in distributed and mobile collaborative systems , 2003, J. Syst. Archit..

[3]  Theodore J. Williams,et al.  The Purdue Enterprise Reference Architecture , 1992, DIISM.

[4]  Heri Ramampiaro,et al.  Requirement Indicators for Mobile Work: The MOWAHS Approach , 2003, Applied Informatics.

[5]  Amy L. Murphy,et al.  Software engineering for mobility: a roadmap , 2000, ICSE '00.

[6]  Giuseppe Berio,et al.  COMMON ENTERPRISE MODELLING FRAMEWORK FOR DISTRIBUTED ORGANISATIONS , 2005 .

[7]  Vaida Kadyte,et al.  Process visibility: how mobile technology can enhance business-customer care in the paper industry , 2005, International Conference on Mobile Business (ICMB'05).

[8]  Volker Gruhn,et al.  Determining Runtime Properties of Mobile Software Architectures , 2007, IESA.

[9]  Kurt Jensen,et al.  Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1 , 1996 .

[10]  Stuart J. Barnes,et al.  The impact of wireless field force automation on New Zealand trade services organizations , 2005, International Conference on Mobile Business (ICMB'05).

[11]  M. Aguilar,et al.  Business process simulation: a fundamental step supporting process centered management , 1999, WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038).

[12]  Akhil Kumar,et al.  Dynamic Work Distribution in Workflow Management Systems: How to Balance Quality and Performance , 2002, J. Manag. Inf. Syst..

[13]  Kurt Kosanke,et al.  CIMOSA: enterprise engineering and integration , 1999 .

[14]  Andrew J. May,et al.  Opportunities and challenges for location aware computing in the construction industry , 2005, Mobile HCI.

[15]  Christian Heath,et al.  Mobility in collaboration , 1998, CSCW '98.

[16]  C. Sørensen,et al.  Mobility: an extended perspective , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[17]  Aleš Popovič,et al.  Applicability of Process Maps for Simulation Modeling in Business Process Change Projects , 2006 .

[18]  Mojca Indihar Stemberger,et al.  Assessment of E-Business Transformation Using Simulation Modeling , 2002, Simul..

[19]  François Vernadat,et al.  UEML: Towards a unified enterprise modelling language , 2002 .

[20]  Keng Siau,et al.  The value of mobile applications: a utility company study , 2005, CACM.

[21]  Alexander Verbraeck,et al.  Integrating the Conceptualization and Simulation of Business Processes: A Modeling Method and Arena Template , 2003, Simul..

[22]  Volker Gruhn,et al.  A Modeling and Analysis Approach for Mobile Information Systems , 2006, 2006 International Conference on Collaborative Computing: Networking, Applications and Worksharing.

[23]  Chimay J. Anumba,et al.  Mapping site processes for the introduction of mobile IT , 2004 .

[24]  Alan Wilson,et al.  The role of mystery shopping in the measurement of service performance , 1998 .

[25]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.

[26]  Víctor Anaya,et al.  Supporting Enterprise Integration through a Unified Enterprise Modeling Language , 2004, CAiSE Workshops.

[27]  Kurt Jensen,et al.  Coloured Petri Nets , 1997, Monographs in Theoretical Computer Science An EATCS Series.

[28]  N Melão,et al.  Use of business process simulation: A survey of practitioners , 2003, J. Oper. Res. Soc..

[29]  Julián Chaparro-Peláez,et al.  Spanish mobile banking services: an adoption study , 2005, International Conference on Mobile Business (ICMB'05).

[30]  Gregory Alan Bolcer,et al.  Magi: An Architecture for Mobile and Disconnected Workflow , 2000, IEEE Internet Comput..

[31]  Carsten Sørensen,et al.  On mobility and context of work: exploring mobile police work , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[32]  George M. Giaglis,et al.  Integrating simulation in organizational design studies , 1999 .

[33]  Frank Dürr,et al.  On location models for ubiquitous computing , 2004, Personal and Ubiquitous Computing.

[34]  van der Wmp Wil Aalst,et al.  Workflow resource patterns , 2004 .

[35]  David Lesaint,et al.  Field workforce scheduling , 2003 .

[36]  Wil M. P. van der Aalst,et al.  Modelling work distribution mechanisms using Colored Petri Nets , 2007, International Journal on Software Tools for Technology Transfer.