@inbook{9c4226b2271040c280e0a18d0af5ad06,
title = "Implementing the Green Batch: A case study: Continuous statistical evaluation to achieve the most energy efficient and reliable process",
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.",
keywords = "energy, green batch, intelligent efficiency, lean manufacturing, predictive maintenance, process optimisation",
author = "Kevin Leahy and Ken Bruton and Dominic O'Sullivan",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 ; Conference date: 16-09-2014 Through 19-09-2014",
year = "2014",
month = jan,
day = "8",
doi = "10.1109/ETFA.2014.7005313",
language = "English",
series = "19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "\{Martinez Garcia\}, Herminio and Antoni Grau",
booktitle = "19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014",
address = "United States",
}