Abstract
Manufacturers often experience different process performance from one batch to the next on the same equipment in the same process (e.g. energy use, lead time and downtime). In most cases, poor energy performance of a batch process is analysed retrospectively, and the root cause of the decline in performance/output must be manually identified In the concept of the Green Batch, process performance is continuously monitored against a best-performing batch. This paper proposes a methodology for implementing the Green Batch on an existing process.
| Original language | English |
|---|---|
| Title of host publication | 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 |
| Editors | Herminio Martinez Garcia, Antoni Grau |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479948468 |
| DOIs | |
| Publication status | Published - 8 Jan 2014 |
| Event | 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 - Barcelona, Spain Duration: 16 Sep 2014 → 19 Sep 2014 |
Publication series
| Name | 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 |
|---|
Conference
| Conference | 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 16/09/14 → 19/09/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- energy
- green batch
- intelligent efficiency
- lean manufacturing
- predictive maintenance
- process optimisation
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