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KPIs as the interface between scheduling and control

Bauer, Margret ; Lucke, Matthieu ; Johnsson, Charlotta LU ; Harjunkoski, Iiro and Schlake, Jan (2016) 11th IFAC Symposium on Dynamics and Control of Process Systems In IFAC Proceedings Volumes (IFAC- PapersOnline) 49. p.687-692
Abstract
The integration of scheduling and control has been discussed in the past. While constructing an integrated plant model that may still seem out of reach, scheduling and control systems are increasingly more intertwined. We argue that they are in fact already integrated and give the example of two key performance indicators (KPIs) that are defined in the recent international standard ISO 22400.
The focus of this study is on KPIs that consider both planned times and actual times. An amino acid production plant is used in the study, and the production is described from both the scheduling and the control perspective. To illustrate the integration, a schedule is computed containing the planned production times. Resulting measurements from... (More)
The integration of scheduling and control has been discussed in the past. While constructing an integrated plant model that may still seem out of reach, scheduling and control systems are increasingly more intertwined. We argue that they are in fact already integrated and give the example of two key performance indicators (KPIs) that are defined in the recent international standard ISO 22400.
The focus of this study is on KPIs that consider both planned times and actual times. An amino acid production plant is used in the study, and the production is described from both the scheduling and the control perspective. To illustrate the integration, a schedule is computed containing the planned production times. Resulting measurements from the control system are analyzed for their actual production times using a proposed procedure that detects the start and end time of batches. Using KPIs as the interface between scheduling and control can be used as a strategy for maximizing the plant performance. The study focuses on the process industry.
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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Key performance indicators, distributed control, planning and scheduling, integration, Batch control
host publication
11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems DYCOPS-CAB 2016
series title
IFAC Proceedings Volumes (IFAC- PapersOnline)
volume
49
pages
6 pages
publisher
IFAC
conference name
11th IFAC Symposium on Dynamics and Control of Process Systems
conference location
Trondheim, Norway
conference dates
2016-06-06 - 2016-06-08
external identifiers
  • scopus:84991035087
  • wos:000381504800116
ISSN
2405-8963
DOI
10.1016/j.ifacol.2016.07.258
project
PiiA-Metrics: Key Performance Metrics for Swedish Process Industry,
language
English
LU publication?
yes
id
d5653c8f-25f0-4f66-a270-b01fbd5efb44
date added to LUP
2017-02-14 18:40:05
date last changed
2024-05-12 07:31:19
@inproceedings{d5653c8f-25f0-4f66-a270-b01fbd5efb44,
  abstract     = {{The integration of scheduling and control has been discussed in the past. While constructing an integrated plant model that may still seem out of reach, scheduling and control systems are increasingly more intertwined. We argue that they are in fact already integrated and give the example of two key performance indicators (KPIs) that are defined in the recent international standard ISO 22400. <br/>The focus of this study is on KPIs that consider both planned times and actual times. An amino acid production plant is used in the study, and the production is described from both the scheduling and the control perspective. To illustrate the integration, a schedule is computed containing the planned production times. Resulting measurements from the control system are analyzed for their actual production times using a proposed procedure that detects the start and end time of batches. Using KPIs as the interface between scheduling and control can be used as a strategy for maximizing the plant performance. The study focuses on the process industry.<br/>}},
  author       = {{Bauer, Margret and Lucke, Matthieu and Johnsson, Charlotta and Harjunkoski, Iiro and Schlake, Jan}},
  booktitle    = {{11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems DYCOPS-CAB 2016}},
  issn         = {{2405-8963}},
  keywords     = {{Key performance indicators; distributed control; planning and scheduling; integration; Batch control}},
  language     = {{eng}},
  pages        = {{687--692}},
  publisher    = {{IFAC}},
  series       = {{IFAC Proceedings Volumes (IFAC- PapersOnline)}},
  title        = {{KPIs as the interface between scheduling and control}},
  url          = {{http://dx.doi.org/10.1016/j.ifacol.2016.07.258}},
  doi          = {{10.1016/j.ifacol.2016.07.258}},
  volume       = {{49}},
  year         = {{2016}},
}