Let's Connect
Follow Us
Watch Us
(+385) 1 2380 262
journal.prometfpz.unizg.hr
Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
30.12.2014
LICENSE
Copyright (c) 2024 Diana Božić, Ratko Stanković, Kristijan Rogić

Possibility of Applying Business Process Management Methodology in Logistic Processes Optimization

Authors:Diana Božić, Ratko Stanković, Kristijan Rogić

Abstract

Raising the service level and developing new logistic services require better understanding of logistic processes and possibilities of optimization. Different methodologies have been used for that purpose, while the application of Business Process Management (BPM) methodology is outlined in this paper. Identifying parts of logistic processes that could be optimized is facilitated by applying BPM methodology. It also enables more accurate quantification of impacts of the changes introduced in a particular process or activity on the processes as a whole and to other interacting processes. The application of BPM methodology is demonstrated in the case study, where a solution for logistic processes optimization is suggested and the prospective outcomes are simulated. The results of the logistic process comparative analysis have indicated a synergic effect of different improvements in sub-process on the effectiveness of the process as a whole, both on the operative and managerial level. The respective changes in workload distribution among interacting logistic processes have been quantified according to the same methodology.

Keywords:logistic processes, Business Process Management, optimization, logistic process simulation,

References

  1. Davenport T. Process Innovation- Reengineering work through information technology. Boston: Harvard Business School Press; 1993.

    Hammer M, Champy J. Reengineering the Corporation: A Manifesto for Business Revolution. Harper Business; 1993.

    Dreiling A, Rosemann M, Aalst WMP, Sadiq W. From conceptual process models to running systems: A holistic approach for the configuration of enterprise system processes. Decision Support Systems No.45, 2008; p. 189–207.

    Milleta PA, Schmitt P, Botta-Genoulaz V. The SCOR model for the alignment of business processes and information systems. Enterprise Information Systems. 2009;3(4):393-407.

    Romano P. Co-ordination and integration mechanisms to manage logistics processes across supply networks. Journal of Purchasing&Supply Management. 2003;9:119-134.

    Gudehus T, Kotzab H. Comprehensive Logistics. Hamburg: Springer; 2009.

    Čičin-Šain M, Vukmirović S, Čapko Z. Methodological Framework of Business Reengineering within Logistics System. Journal of Computing and Information Technology – CIT. 2004;12(2):83–93.

    Chien-wen, S., Ching-Chih, C.: Business process re-engineering in the logistics industry: a study of implementation, success factors, and performance. Enterprise Information Systems. 2010;4(1):61–78.

    Pašagić Škrinjar J, Rogić K, Stanković R. Location of Urban Logistic Terminals as Hub Location Problem. Promet – Traffic&Transportation. 2012;24(5):433-440.

    Vom Brocke J, Rosemann M. Handbook on Business Process Management: Strategic Alignment, Governance, People and Culture. Berlin: Springer; 2010.

    O Connell J, Pyke J, Whitehead R. Mastering your organizations processes. Cambridge: Cambridge University Press; 2006.

    Shtub A, Karni R. ERP-The dynamics of supply chain and process management. London: Springer Science& Business Media; 2010.

    Wang M, Wang H. From process logic to business logic – A cognitive approach to business process management. Information&Management. 2006;43(2):179-193.

    Smart PA, Maddern H, Maull RS. Understanding Business Process Management. British Journal of Management. 2009;20:491-507.

Show more


Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal