Event Monitoring and Management Process in a Non‐Hierarchical Business Network

Shamsuzzoha, Ahm; Rintala, Sami; Cunha, Pedro F.; Ferreira, Pedro; Kankaanpaa, Timo; Carneiro, Luis Maia

doi:10.1002/9781118607077.ch16

Cited by 8 publications

(6 citation statements)

References 32 publications

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“…Shamsuzzoha et al [5] state that an event can be defined as an incident or occurrence that might evolve from either internal or external sources of operations within the network. An event can be identified assessing if a deviation of the current status as compared the planned one exists.…”

Section: Event Managementmentioning

confidence: 99%

“…A very accepted classification of events is according to their impact in the organization on a scale from 1 to 5, where 1 represents the least level and 5 the strongest [5]. Knowing the severity of the event, risk can be identified by the occurrence likelihood of this event.…”

Section: Event Managementmentioning

confidence: 99%

“…But, the main difficulty is to adapt the ongoing production plans, which produces that often no changes are made [4]. The conception and implementation of appropriate information and communication systems is a basic condition for identifying critical incidents [5]. In this sense, Sacala et al [6] indicate that data collected from sensors must trigger a chain of events leading to changes within enterprise business process, collaboration mechanism or organizational framework.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Event Monitoring System to Classify Unexpected Events for Production Planning

Boza

Alarcón

Cuenca

2017

Enterprise Information Systems

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Production planning prepares companies to a future production scenario. The decision process followed to obtain the production plan considers real data and estimated data of this future scenario. However, these plans can be affected by unexpected events that alter the planned scenario and in consequence, the production planning. This is especially critical when the production planning is ongoing. Thus providing information about these events can be critical to reconsider the production planning. We herein propose an event monitoring system to identify events and to classify them into different impact levels. The information obtained from this system helps to build a risk matrix, which determines the significance of the risk from the impact level and the likelihood. A prototype has been built following this proposal.

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Section: Event Managementmentioning

confidence: 99%

Section: Event Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Event Monitoring System to Classify Unexpected Events for Production Planning

Boza

Alarcón

Cuenca

2017

Enterprise Information Systems

View full text Add to dashboard Cite

show abstract

“…A very accepted classification of events is according to their impact in the organization on a scale from 1 to 5, where 1 represents the least level and 5 the strongest (Shamsuzzoha et al 2013). Knowing the severity of the event, risk can be identified by the occurrence likelihood of this event.…”

Section: Event Managementmentioning

confidence: 99%

“…The conception and implementation of appropriate information and communication systems is a basic condition for identifying critical incidents (Shamsuzzoha et al 2013). In this sense, Scala et al (2013) indicate that data collected from sensors must trigger a chain of events leading to changes within enterprise business process, collaboration mechanism or organizational framework.…”

Section: Introductionmentioning

confidence: 99%

Event Classification System to Reconsider the Production Planning

Boza

Alarcón

Cuenca

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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Ongoing production planning can be affected by unexpected events that modify the planned scenario. Decision makers must react in some way to avoid problems in the production system when these events appear. Thus providing information about these events can be critical for decision makers, as events can affect not only operational processes but also previously made decisions. We herein propose an event monitoring system that classifies events into different impact levels. This information helps production decision-makers to consider changes in the ongoing production planning. Furthermore, a risk matrix can be built, which determines the significance of the risk from the impact level and the likelihood. This likelihood of occurrences of these events can be estimated from the historical information of the event monitoring system. A prototype has been built following this proposal.

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