Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach

W.Z. Low; J. De Weerdt; M.T. Wynn; A.H.M. Hofstede, ter; W.M.P. Aalst, van der; S. Broucke, vanden

doi:10.1109/CEC.2014.6900465

Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach

W.Z. Low, J. De Weerdt, M.T. Wynn, A.H.M. Hofstede, ter, W.M.P. Aalst, van der, S. Broucke, vanden

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

11 Citations (Scopus)

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Abstract

Organisations are constantly seeking new ways to improve operational efficiencies. This research study investigates a novel way to identify potential efficiency gains in business operations by observing how they are carried out in the past and then exploring better ways of executing them by taking into account trade-offs between time, cost and resource utilisation. This paper demonstrates how they can be incorporated in the assessment of alternative process execution scenarios by making use of a cost environment. A genetic algorithm-based approach is proposed to explore and assess alternative process execution scenarios, where the objective function is represented by a comprehensive cost structure that captures different process dimensions. Experiments conducted with different variants of the genetic algorithm evaluate the approach's feasibility. The findings demonstrate that a genetic algorithm-based approach is able to make use of cost reduction as a way to identify improved execution scenarios in terms of reduced case durations and increased resource utilisation. The ultimate aim is to utilise cost-related insights gained from such improved scenarios to put forward recommendations for reducing process-related cost within organisations.

Original language	English
Title of host publication	IEEE Congress on Evolutionary Computation (CEC'14, Beijing, China, July 6-11, 2014)
Editors	xx Derong Liu, xx Jennie Si
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	2428-2435
ISBN (Print)	978-1-4799-6626-4
DOIs	https://doi.org/10.1109/CEC.2014.6900465
Publication status	Published - 2014
Event	conference; IEEE Congress on Evolutionary Computation; 2014-07-06; 2014-07-11 - Duration: 6 Jul 2014 → 11 Jul 2014

Conference

Conference	conference; IEEE Congress on Evolutionary Computation; 2014-07-06; 2014-07-11
Period	6/07/14 → 11/07/14
Other	IEEE Congress on Evolutionary Computation

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10.1109/CEC.2014.6900465

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Low, W. Z., De Weerdt, J., Wynn, M. T., Hofstede, ter, A. H. M., Aalst, van der, W. M. P., & Broucke, vanden, S. (2014). Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach. In X. Derong Liu, & X. Jennie Si (Eds.), IEEE Congress on Evolutionary Computation (CEC'14, Beijing, China, July 6-11, 2014) (pp. 2428-2435). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CEC.2014.6900465

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title = "Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach",

abstract = "Organisations are constantly seeking new ways to improve operational efficiencies. This research study investigates a novel way to identify potential efficiency gains in business operations by observing how they are carried out in the past and then exploring better ways of executing them by taking into account trade-offs between time, cost and resource utilisation. This paper demonstrates how they can be incorporated in the assessment of alternative process execution scenarios by making use of a cost environment. A genetic algorithm-based approach is proposed to explore and assess alternative process execution scenarios, where the objective function is represented by a comprehensive cost structure that captures different process dimensions. Experiments conducted with different variants of the genetic algorithm evaluate the approach's feasibility. The findings demonstrate that a genetic algorithm-based approach is able to make use of cost reduction as a way to identify improved execution scenarios in terms of reduced case durations and increased resource utilisation. The ultimate aim is to utilise cost-related insights gained from such improved scenarios to put forward recommendations for reducing process-related cost within organisations.",

author = "W.Z. Low and {De Weerdt}, J. and M.T. Wynn and {Hofstede, ter}, A.H.M. and {Aalst, van der}, W.M.P. and {Broucke, vanden}, S.",

year = "2014",

doi = "10.1109/CEC.2014.6900465",

language = "English",

isbn = "978-1-4799-6626-4",

pages = "2428--2435",

editor = "{Derong Liu}, xx and {Jennie Si}, xx",

booktitle = "IEEE Congress on Evolutionary Computation (CEC'14, Beijing, China, July 6-11, 2014)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "conference; IEEE Congress on Evolutionary Computation; 2014-07-06; 2014-07-11 ; Conference date: 06-07-2014 Through 11-07-2014",

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Low, WZ, De Weerdt, J, Wynn, MT, Hofstede, ter, AHM, Aalst, van der, WMP & Broucke, vanden, S 2014, Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach. in X Derong Liu & X Jennie Si (eds), IEEE Congress on Evolutionary Computation (CEC'14, Beijing, China, July 6-11, 2014). Institute of Electrical and Electronics Engineers, Piscataway, pp. 2428-2435, conference; IEEE Congress on Evolutionary Computation; 2014-07-06; 2014-07-11, 6/07/14. https://doi.org/10.1109/CEC.2014.6900465

Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach. / Low, W.Z.; De Weerdt, J.; Wynn, M.T. et al.
IEEE Congress on Evolutionary Computation (CEC'14, Beijing, China, July 6-11, 2014). ed. / xx Derong Liu; xx Jennie Si. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 2428-2435.

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

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AU - Wynn, M.T.

AU - Hofstede, ter, A.H.M.

AU - Aalst, van der, W.M.P.

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PY - 2014

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N2 - Organisations are constantly seeking new ways to improve operational efficiencies. This research study investigates a novel way to identify potential efficiency gains in business operations by observing how they are carried out in the past and then exploring better ways of executing them by taking into account trade-offs between time, cost and resource utilisation. This paper demonstrates how they can be incorporated in the assessment of alternative process execution scenarios by making use of a cost environment. A genetic algorithm-based approach is proposed to explore and assess alternative process execution scenarios, where the objective function is represented by a comprehensive cost structure that captures different process dimensions. Experiments conducted with different variants of the genetic algorithm evaluate the approach's feasibility. The findings demonstrate that a genetic algorithm-based approach is able to make use of cost reduction as a way to identify improved execution scenarios in terms of reduced case durations and increased resource utilisation. The ultimate aim is to utilise cost-related insights gained from such improved scenarios to put forward recommendations for reducing process-related cost within organisations.

AB - Organisations are constantly seeking new ways to improve operational efficiencies. This research study investigates a novel way to identify potential efficiency gains in business operations by observing how they are carried out in the past and then exploring better ways of executing them by taking into account trade-offs between time, cost and resource utilisation. This paper demonstrates how they can be incorporated in the assessment of alternative process execution scenarios by making use of a cost environment. A genetic algorithm-based approach is proposed to explore and assess alternative process execution scenarios, where the objective function is represented by a comprehensive cost structure that captures different process dimensions. Experiments conducted with different variants of the genetic algorithm evaluate the approach's feasibility. The findings demonstrate that a genetic algorithm-based approach is able to make use of cost reduction as a way to identify improved execution scenarios in terms of reduced case durations and increased resource utilisation. The ultimate aim is to utilise cost-related insights gained from such improved scenarios to put forward recommendations for reducing process-related cost within organisations.

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BT - IEEE Congress on Evolutionary Computation (CEC'14, Beijing, China, July 6-11, 2014)

A2 - Derong Liu, xx

A2 - Jennie Si, xx

PB - Institute of Electrical and Electronics Engineers

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T2 - conference; IEEE Congress on Evolutionary Computation; 2014-07-06; 2014-07-11

Y2 - 6 July 2014 through 11 July 2014

ER -

Low WZ, De Weerdt J, Wynn MT, Hofstede, ter AHM, Aalst, van der WMP, Broucke, vanden S. Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach. In Derong Liu X, Jennie Si X, editors, IEEE Congress on Evolutionary Computation (CEC'14, Beijing, China, July 6-11, 2014). Piscataway: Institute of Electrical and Electronics Engineers. 2014. p. 2428-2435 doi: 10.1109/CEC.2014.6900465

Perturbing event logs to identify cost reduction opportunities : a genetic algorithm-based approach

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