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Design it like Darwin - A value-based application of evolutionary algorithms for proper and unambiguous business process redesign

Author

Listed:
  • Patrick Afflerbach

    (Project Group Business & Information Systems Engineering of the Fraunhofer FIT)

  • Martin Hohendorf

    (University of Augsburg)

  • Jonas Manderscheid

    (University of Augsburg)

Abstract

Business process management (BPM) is an acknowledged source of corporate performance. Despite the mature body of knowledge, computational support is considered as a highly relevant research gap for redesigning business processes. Therefore, this paper applies Evolutionary Algorithms (EAs) that, on a conceptual level, mimic the BPM lifecycle – the most popular BPM approach – by incrementally improving the status quo and bridging the trade-off between maintaining well-performing design structures and continuously evolving new designs. Beginning with describing process elements and their characteristics in matrices to aggregate process information, the EA then processes this information and combines the elements to new designs. These designs are then assessed by a function from value-based management. This economic paradigm reduces designs to their value contributions and facilitates an objective prioritization. Altogether, our triad of management science, BPM and information systems research results in a promising tool for process redesign and avoids subjective vagueness inherent to current redesign projects.

Suggested Citation

  • Patrick Afflerbach & Martin Hohendorf & Jonas Manderscheid, 2017. "Design it like Darwin - A value-based application of evolutionary algorithms for proper and unambiguous business process redesign," Information Systems Frontiers, Springer, vol. 19(5), pages 1101-1121, October.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:5:d:10.1007_s10796-016-9715-1
    DOI: 10.1007/s10796-016-9715-1
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    1. Vijayan Sugumaran & T. V. Geetha & D. Manjula & Hema Gopal, 2017. "Guest Editorial: Computational Intelligence and Applications," Information Systems Frontiers, Springer, vol. 19(5), pages 969-974, October.

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