Scholarly record
PREDICTIVE SIMULATION TO DECISION-MAKING SUPPORT AT THE OPERATIONAL LEVEL
Abstract
Manufacturing Execution Systems to support production management at the operational level are focused to the input, monitoring and evaluation of the manufacturing process. The functions of these systems are capable of collecting a large amount of data and their fast processing. It means to respond quickly to events that occur during manufacturing process. MES systems also allow rapid evaluation of key performance indicators that are linked to production efficiency. Their evaluation is based on collected data. Systems include prediction of the production system behaviour, particularly in the area of planning a work buffers for machines and operators. However, the prediction of performance indicators is more complex when deciding on a specific intervention in the production process. An example may be the evaluation of the Overall Equipment Effectiveness (OEE) indicator, which is evaluated on the basis of monitored data. One way to predict the development of performance indicators is to use predictive simulation to decision-making support at the operational level. The paper focuses on the use of predictive simulation to verify the impact of dispatching interventions on the evaluation of performance indicators in a particular production process.
Publication Impact Profile
- Captures
- Mendeley - Readers: 3
Publication details
ReferencesPending
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
