Intelligence amplification framework for enhancing scheduling processes

Andrej Dobrkovic, Luyao Liu, Maria Eugenia Iacob, Jos van Hillegersberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

3 Citations (Scopus)

Abstract

The scheduling process in a typical business environment consists of predominantly repetitive tasks that have to be completed in limited time and often containing some form of uncertainty. The intelligence amplification is a symbiotic relationship between a human and an intelligent agent. This partnership is organized to emphasize the strength of both entities, with the human taking the central role of the objective setter and supervisor, and the machine focusing on executing the repetitive tasks. The output efficiency and effectiveness increase as each partner can focus on its native tasks. We propose the intelligence amplification framework that is applicable in typical scheduling problems encountered in the business domain. Using this framework we build an artifact to enhance scheduling processes in synchromodal logistics, showing that a symbiotic decision maker performs better in terms of efficiency and effectiveness.
Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence - IBERAMIA 2016
Place of PublicationCham
PublisherSpringer
Pages89-100
ISBN (Print)978-3-319-47954-5
DOIs
Publication statusPublished - 2016

Publication series

Name
PublisherSpringer
Volume10022
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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Keywords

  • METIS-319234
  • IR-102378

Cite this

Dobrkovic, A., Liu, L., Iacob, M. E., & van Hillegersberg, J. (2016). Intelligence amplification framework for enhancing scheduling processes. In Advances in Artificial Intelligence - IBERAMIA 2016 (pp. 89-100). Cham: Springer. https://doi.org/10.1007/978-3-319-47955-2_8