Mining Emergency Event Logs to Support Resource Allocation

Huiling LI; Cong LIU; Qingtian ZENG; Hua HE; Chongguang REN; Lei WANG; Feng CHENG

doi:10.1587/transinf.2021EDP7029

IEICE TRANSACTIONS on Information

Mining Emergency Event Logs to Support Resource Allocation

Huiling LI, Cong LIU, Qingtian ZENG, Hua HE, Chongguang REN, Lei WANG, Feng CHENG

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Effective emergency resource allocation is essential to guarantee a successful emergency disposal, and it has become a research focus in the area of emergency management. Emergency event logs are accumulated in modern emergency management systems and can be analyzed to support effective resource allocation. This paper proposes a novel approach for efficient emergency resource allocation by mining emergency event logs. More specifically, an emergency event log with various attributes, e.g., emergency task name, emergency resource type (reusable and consumable ones), required resource amount, and timestamps, is first formalized. Then, a novel algorithm is presented to discover emergency response process models, represented as an extension of Petri net with resource and time elements, from emergency event logs. Next, based on the discovered emergency response process models, the minimum resource requirements for both reusable and consumable resources are obtained, and two resource allocation strategies, i.e., the Shortest Execution Time (SET) strategy and the Least Resource Consumption (LRC) strategy, are proposed to support efficient emergency resource allocation decision-making. Finally, a chlorine tank explosion emergency case study is used to demonstrate the applicability and effectiveness of the proposed resource allocation approach.

Publication: IEICE TRANSACTIONS on Information Vol.E104-D No.10 pp.1651-1660

Publication Date: 2021/10/01

Publicized: 2021/06/28

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2021EDP7029

Type of Manuscript: PAPER

Category: Office Information Systems, e-Business Modeling

Authors

Huiling LI
  Shandong University of Technology
Cong LIU
  Shandong University of Technology
Qingtian ZENG
  Shandong University of Science and Technology
Hua HE
  Shandong University of Science and Technology
Chongguang REN
  Shandong University of Technology
Lei WANG
  Shandong University of Technology
Feng CHENG
  Southwest Jiaotong University

Keyword

emergency resource allocation, emergency event logs, process mining, Petri nets

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Huiling LI, Cong LIU, Qingtian ZENG, Hua HE, Chongguang REN, Lei WANG, Feng CHENG, "Mining Emergency Event Logs to Support Resource Allocation" in IEICE TRANSACTIONS on Information, vol. E104-D, no. 10, pp. 1651-1660, October 2021, doi: 10.1587/transinf.2021EDP7029.
Abstract: Effective emergency resource allocation is essential to guarantee a successful emergency disposal, and it has become a research focus in the area of emergency management. Emergency event logs are accumulated in modern emergency management systems and can be analyzed to support effective resource allocation. This paper proposes a novel approach for efficient emergency resource allocation by mining emergency event logs. More specifically, an emergency event log with various attributes, e.g., emergency task name, emergency resource type (reusable and consumable ones), required resource amount, and timestamps, is first formalized. Then, a novel algorithm is presented to discover emergency response process models, represented as an extension of Petri net with resource and time elements, from emergency event logs. Next, based on the discovered emergency response process models, the minimum resource requirements for both reusable and consumable resources are obtained, and two resource allocation strategies, i.e., the Shortest Execution Time (SET) strategy and the Least Resource Consumption (LRC) strategy, are proposed to support efficient emergency resource allocation decision-making. Finally, a chlorine tank explosion emergency case study is used to demonstrate the applicability and effectiveness of the proposed resource allocation approach.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021EDP7029/_p

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@ARTICLE{e104-d_10_1651,
author={Huiling LI, Cong LIU, Qingtian ZENG, Hua HE, Chongguang REN, Lei WANG, Feng CHENG, },
journal={IEICE TRANSACTIONS on Information},
title={Mining Emergency Event Logs to Support Resource Allocation},
year={2021},
volume={E104-D},
number={10},
pages={1651-1660},
abstract={Effective emergency resource allocation is essential to guarantee a successful emergency disposal, and it has become a research focus in the area of emergency management. Emergency event logs are accumulated in modern emergency management systems and can be analyzed to support effective resource allocation. This paper proposes a novel approach for efficient emergency resource allocation by mining emergency event logs. More specifically, an emergency event log with various attributes, e.g., emergency task name, emergency resource type (reusable and consumable ones), required resource amount, and timestamps, is first formalized. Then, a novel algorithm is presented to discover emergency response process models, represented as an extension of Petri net with resource and time elements, from emergency event logs. Next, based on the discovered emergency response process models, the minimum resource requirements for both reusable and consumable resources are obtained, and two resource allocation strategies, i.e., the Shortest Execution Time (SET) strategy and the Least Resource Consumption (LRC) strategy, are proposed to support efficient emergency resource allocation decision-making. Finally, a chlorine tank explosion emergency case study is used to demonstrate the applicability and effectiveness of the proposed resource allocation approach.},
keywords={},
doi={10.1587/transinf.2021EDP7029},
ISSN={1745-1361},
month={October},}

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TY - JOUR
TI - Mining Emergency Event Logs to Support Resource Allocation
T2 - IEICE TRANSACTIONS on Information
SP - 1651
EP - 1660
AU - Huiling LI
AU - Cong LIU
AU - Qingtian ZENG
AU - Hua HE
AU - Chongguang REN
AU - Lei WANG
AU - Feng CHENG
PY - 2021
DO - 10.1587/transinf.2021EDP7029
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2021
AB - Effective emergency resource allocation is essential to guarantee a successful emergency disposal, and it has become a research focus in the area of emergency management. Emergency event logs are accumulated in modern emergency management systems and can be analyzed to support effective resource allocation. This paper proposes a novel approach for efficient emergency resource allocation by mining emergency event logs. More specifically, an emergency event log with various attributes, e.g., emergency task name, emergency resource type (reusable and consumable ones), required resource amount, and timestamps, is first formalized. Then, a novel algorithm is presented to discover emergency response process models, represented as an extension of Petri net with resource and time elements, from emergency event logs. Next, based on the discovered emergency response process models, the minimum resource requirements for both reusable and consumable resources are obtained, and two resource allocation strategies, i.e., the Shortest Execution Time (SET) strategy and the Least Resource Consumption (LRC) strategy, are proposed to support efficient emergency resource allocation decision-making. Finally, a chlorine tank explosion emergency case study is used to demonstrate the applicability and effectiveness of the proposed resource allocation approach.
ER -

IEICE TRANSACTIONS on Information