Event Monitoring Software Application for Production Planning Systems

Boza, Andrés; Cortes, B. Conceição; Vicens, Eduardo Segarra

doi:10.1007/978-3-319-14078-0_14

Cited by 3 publications

(1 citation statement)

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“…This proposal extends the DSS proposed by Boza et al [31] [32], which includes three phases: (1) model and attributes selection: experts select decision models and the attributes (of these models) that can be affected by events; (2) criteria creation and visualization: experts create alert criteria about previously selected attributes; (3) execution: validation of the alert criteria conditions executed manually or automatically. Our proposal herein extends the previous proposal to include the event classification and risk identification based on the risk matrix.…”

Section: Event Monitoring System (Ems) Frameworkmentioning

confidence: 99%

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 Monitoring System (Ems) Frameworkmentioning

confidence: 99%