Intelligence amplification framework for enhancing scheduling processes

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

doi:10.1007/978-3-319-47955-2_8

Intelligence amplification framework for enhancing scheduling processes

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

7 Citations (Scopus)

78 Downloads (Pure)

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 language	English
Title of host publication	Advances in Artificial Intelligence - IBERAMIA 2016
Subtitle of host publication	15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings
Editors	Manuel Montes y Gómez
Place of Publication	Cham
Publisher	Springer
Pages	89-100
ISBN (Print)	978-3-319-47954-5, 978-3-319-47955-2
DOIs	https://doi.org/10.1007/978-3-319-47955-2_8
Publication status	Published - 2016
Event	15th Ibero-American Conference on AI, IBERAMIA 2016 - San José, Costa Rica Duration: 22 Nov 2016 → 25 Nov 2016 Conference number: 15

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	10022
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th Ibero-American Conference on AI, IBERAMIA 2016
Abbreviated title	IBERAMIA
Country/Territory	Costa Rica
City	San José
Period	22/11/16 → 25/11/16

Keywords

2023 OA procedure

Access to Document

10.1007/978-3-319-47955-2_8

ArticleFinal published version, 995 KBLicence: Taverne

Cite this

Dobrkovic, A., Liu, L., Iacob, M. E., & van Hillegersberg, J. (2016). Intelligence amplification framework for enhancing scheduling processes. In M. Montes y Gómez (Ed.), Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings (pp. 89-100). (Lecture Notes in Computer Science; Vol. 10022). Springer. https://doi.org/10.1007/978-3-319-47955-2_8

Dobrkovic, Andrej ; Liu, Luyao ; Iacob, Maria Eugenia et al. / Intelligence amplification framework for enhancing scheduling processes. Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings. editor / Manuel Montes y Gómez. Cham : Springer, 2016. pp. 89-100 (Lecture Notes in Computer Science).

@inproceedings{c542785d970a4d88a1c8afabc3b09f6a,

title = "Intelligence amplification framework for enhancing scheduling processes",

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.",

keywords = "2023 OA procedure",

author = "Andrej Dobrkovic and Luyao Liu and Iacob, \{Maria Eugenia\} and \{van Hillegersberg\}, Jos",

year = "2016",

doi = "10.1007/978-3-319-47955-2\_8",

language = "English",

isbn = "978-3-319-47954-5",

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pages = "89--100",

editor = "\{Montes y G{\'o}mez\}, Manuel",

booktitle = "Advances in Artificial Intelligence - IBERAMIA 2016",

address = "Germany",

note = "15th Ibero-American Conference on AI, IBERAMIA 2016, IBERAMIA ; Conference date: 22-11-2016 Through 25-11-2016",

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Dobrkovic, A, Liu, L, Iacob, ME & van Hillegersberg, J 2016, Intelligence amplification framework for enhancing scheduling processes. in M Montes y Gómez (ed.), Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings. Lecture Notes in Computer Science, vol. 10022, Springer, Cham, pp. 89-100, 15th Ibero-American Conference on AI, IBERAMIA 2016, San José, Costa Rica, 22/11/16. https://doi.org/10.1007/978-3-319-47955-2_8

Intelligence amplification framework for enhancing scheduling processes. / Dobrkovic, Andrej; Liu, Luyao; Iacob, Maria Eugenia et al.
Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings. ed. / Manuel Montes y Gómez. Cham: Springer, 2016. p. 89-100 (Lecture Notes in Computer Science; Vol. 10022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Intelligence amplification framework for enhancing scheduling processes

AU - Dobrkovic, Andrej

AU - Liu, Luyao

AU - Iacob, Maria Eugenia

AU - van Hillegersberg, Jos

N1 - Conference code: 15

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - 2023 OA procedure

U2 - 10.1007/978-3-319-47955-2_8

DO - 10.1007/978-3-319-47955-2_8

M3 - Conference contribution

SN - 978-3-319-47954-5

SN - 978-3-319-47955-2

T3 - Lecture Notes in Computer Science

SP - 89

EP - 100

BT - Advances in Artificial Intelligence - IBERAMIA 2016

A2 - Montes y Gómez, Manuel

PB - Springer

CY - Cham

T2 - 15th Ibero-American Conference on AI, IBERAMIA 2016

Y2 - 22 November 2016 through 25 November 2016

ER -

Dobrkovic A, Liu L, Iacob ME, van Hillegersberg J. Intelligence amplification framework for enhancing scheduling processes. In Montes y Gómez M, editor, Advances in Artificial Intelligence - IBERAMIA 2016: 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings. Cham: Springer. 2016. p. 89-100. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-47955-2_8

Intelligence amplification framework for enhancing scheduling processes

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