Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework

Faiza Allah Bukhsh Bukhsh; Hans Weigand Weigand

doi:10.1109/FIT.2017.00049

Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework

Faiza Allah Bukhsh Bukhsh
, Hans Weigand Weigand

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

5 Citations (Scopus)

21 Downloads (Pure)

Abstract

Risk regulations and compliance management require business controls automation. Business processes execution yield event logs and analysis of these logs can produce valuable knowledge for organizational product and/or service improvements. In this paper we have explored a monitoring scenario of shipment request and evaluated it on the basis of Smart auditing framework. A combination of process mining techniques and business process ontologies is evaluated on simulated data in order to identify the auditing/monitoring capability of PROM plug-in's. The initial evaluation revealed that rule based audit is successful on machine-crafted data in PROM tool. Moreover, this paper also highlights lack of automated rule translation in LTL-checker (PROM plug-in) for smart audit frameworks evaluations.

Original language	English
Title of host publication	2017 International Conference on Frontiers of Information Technology (FIT)
Publisher	IEEE
Pages	235-240
Number of pages	6
ISBN (Electronic)	9781538635674
DOIs	https://doi.org/10.1109/FIT.2017.00049
Publication status	Published - Jan 2018
Event	15th International Conference on Frontiers of Information Technology, FIT 2017 - Islamabad, Pakistan Duration: 18 Dec 2017 → 20 Dec 2017 Conference number: 15

Conference

Conference	15th International Conference on Frontiers of Information Technology, FIT 2017
Abbreviated title	FIT
Country/Territory	Pakistan
City	Islamabad
Period	18/12/17 → 20/12/17

Keywords

Compliance checking
information auditing
process mining

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10.1109/FIT.2017.00049

Cite this

@inproceedings{0f0f8c8182c2423199cc5f983d7f1d23,

title = "Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework",

abstract = "Risk regulations and compliance management require business controls automation. Business processes execution yield event logs and analysis of these logs can produce valuable knowledge for organizational product and/or service improvements. In this paper we have explored a monitoring scenario of shipment request and evaluated it on the basis of Smart auditing framework. A combination of process mining techniques and business process ontologies is evaluated on simulated data in order to identify the auditing/monitoring capability of PROM plug-in's. The initial evaluation revealed that rule based audit is successful on machine-crafted data in PROM tool. Moreover, this paper also highlights lack of automated rule translation in LTL-checker (PROM plug-in) for smart audit frameworks evaluations.",

keywords = "Compliance checking, information auditing, process mining",

author = "Bukhsh, \{Faiza Allah Bukhsh\} and Weigand, \{Hans Weigand\}",

year = "2018",

month = jan,

doi = "10.1109/FIT.2017.00049",

language = "English",

pages = "235--240",

booktitle = "2017 International Conference on Frontiers of Information Technology (FIT)",

publisher = "IEEE",

address = "United States",

note = "15th International Conference on Frontiers of Information Technology, FIT 2017, FIT ; Conference date: 18-12-2017 Through 20-12-2017",

}

Bukhsh, FAB & Weigand, HW 2018, Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework. in 2017 International Conference on Frontiers of Information Technology (FIT). IEEE, pp. 235-240, 15th International Conference on Frontiers of Information Technology, FIT 2017, Islamabad, Pakistan, 18/12/17. https://doi.org/10.1109/FIT.2017.00049

Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework. / Bukhsh, Faiza Allah Bukhsh; Weigand, Hans Weigand.
2017 International Conference on Frontiers of Information Technology (FIT). IEEE, 2018. p. 235-240.

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

TY - GEN

T1 - Compliance Checking of Shipment Request by Utilizing Process Mining Concepts

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AU - Bukhsh, Faiza Allah Bukhsh

AU - Weigand, Hans Weigand

N1 - Conference code: 15

PY - 2018/1

Y1 - 2018/1

N2 - Risk regulations and compliance management require business controls automation. Business processes execution yield event logs and analysis of these logs can produce valuable knowledge for organizational product and/or service improvements. In this paper we have explored a monitoring scenario of shipment request and evaluated it on the basis of Smart auditing framework. A combination of process mining techniques and business process ontologies is evaluated on simulated data in order to identify the auditing/monitoring capability of PROM plug-in's. The initial evaluation revealed that rule based audit is successful on machine-crafted data in PROM tool. Moreover, this paper also highlights lack of automated rule translation in LTL-checker (PROM plug-in) for smart audit frameworks evaluations.

AB - Risk regulations and compliance management require business controls automation. Business processes execution yield event logs and analysis of these logs can produce valuable knowledge for organizational product and/or service improvements. In this paper we have explored a monitoring scenario of shipment request and evaluated it on the basis of Smart auditing framework. A combination of process mining techniques and business process ontologies is evaluated on simulated data in order to identify the auditing/monitoring capability of PROM plug-in's. The initial evaluation revealed that rule based audit is successful on machine-crafted data in PROM tool. Moreover, this paper also highlights lack of automated rule translation in LTL-checker (PROM plug-in) for smart audit frameworks evaluations.

KW - Compliance checking

KW - information auditing

KW - process mining

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DO - 10.1109/FIT.2017.00049

M3 - Conference contribution

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BT - 2017 International Conference on Frontiers of Information Technology (FIT)

PB - IEEE

Y2 - 18 December 2017 through 20 December 2017

ER -

Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework

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Keywords

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