An approach for workflow improvement based on outcome and time remaining prediction

Luis Galdo Seara; Renata Medeiros De Carvalho

doi:10.5220/0007577504750482

An approach for workflow improvement based on outcome and time remaining prediction

Luis Galdo Seara, Renata Medeiros De Carvalho

Process Analytics

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

3 Citations (Scopus)

1 Downloads (Pure)

Abstract

Some business processes are critical to organizations. The efficiency at which involved tasks are performed define the quality of the organization. Detecting where bottlenecks occur during the process and predicting when to dedicate more resources to a specific case can help to distribute the work load in a better way. In this paper we propose an approach to analyze a business process, predict the outcome of new cases and the time for its completion. The approach is based on a transition system. Two models are then developed for each state of the transition system, one to predict the outcome and another to predict the time remaining until completion. We experimented with a real life dataset from a financial department to demonstrate our approach.

Original language	English
Title of host publication	MODELSWARD 2019 - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development
Editors	Slimane Hammoudi, Bran Selic, Luis Ferreira Pires
Place of Publication	Setúbal
Publisher	SciTePress Digital Library
Pages	475-482
Number of pages	8
ISBN (Electronic)	978-989-758-358-2
ISBN (Print)	9789897583582
DOIs	https://doi.org/10.5220/0007577504750482
Publication status	Published - 1 Jan 2019
Event	7th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2019 - Prague, Czech Republic Duration: 20 Feb 2019 → 22 Feb 2019

Conference

Conference	7th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2019
Country/Territory	Czech Republic
City	Prague
Period	20/02/19 → 22/02/19

Keywords

Data Mining
Outcome Prediction
Process Mining
Time Remaining Prediction
Transition Systems

Access to Document

10.5220/0007577504750482

Cite this

Galdo Seara, L., & De Carvalho, R. M. (2019). An approach for workflow improvement based on outcome and time remaining prediction. In S. Hammoudi, B. Selic, & L. F. Pires (Eds.), MODELSWARD 2019 - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development (pp. 475-482). SciTePress Digital Library. https://doi.org/10.5220/0007577504750482

Galdo Seara, Luis ; De Carvalho, Renata Medeiros. / An approach for workflow improvement based on outcome and time remaining prediction. MODELSWARD 2019 - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development. editor / Slimane Hammoudi ; Bran Selic ; Luis Ferreira Pires. Setúbal : SciTePress Digital Library, 2019. pp. 475-482

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title = "An approach for workflow improvement based on outcome and time remaining prediction",

abstract = "Some business processes are critical to organizations. The efficiency at which involved tasks are performed define the quality of the organization. Detecting where bottlenecks occur during the process and predicting when to dedicate more resources to a specific case can help to distribute the work load in a better way. In this paper we propose an approach to analyze a business process, predict the outcome of new cases and the time for its completion. The approach is based on a transition system. Two models are then developed for each state of the transition system, one to predict the outcome and another to predict the time remaining until completion. We experimented with a real life dataset from a financial department to demonstrate our approach.",

keywords = "Data Mining, Outcome Prediction, Process Mining, Time Remaining Prediction, Transition Systems",

author = "{Galdo Seara}, Luis and {De Carvalho}, {Renata Medeiros}",

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publisher = "SciTePress Digital Library",

note = "7th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2019 ; Conference date: 20-02-2019 Through 22-02-2019",

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Galdo Seara, L & De Carvalho, RM 2019, An approach for workflow improvement based on outcome and time remaining prediction. in S Hammoudi, B Selic & LF Pires (eds), MODELSWARD 2019 - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development. SciTePress Digital Library, Setúbal, pp. 475-482, 7th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2019, Prague, Czech Republic, 20/02/19. https://doi.org/10.5220/0007577504750482

An approach for workflow improvement based on outcome and time remaining prediction. / Galdo Seara, Luis; De Carvalho, Renata Medeiros.
MODELSWARD 2019 - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development. ed. / Slimane Hammoudi; Bran Selic; Luis Ferreira Pires. Setúbal: SciTePress Digital Library, 2019. p. 475-482.

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

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KW - Time Remaining Prediction

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An approach for workflow improvement based on outcome and time remaining prediction

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Keywords

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