Production scheduling in the process industry
(2013) 22nd International Conference on Production Research- Abstract
- The purpose of this paper is to formulate an optimization model for the production scheduling problem at continuous production sites. The production scheduling activity should produce a monthly schedule that accounts for orders and forecasts of all products. The plan should be updated every day, with feedback on the actual production the previous day. The actual daily production may be lower than the planned production due to disturbances, e.g. disruptions in the supply of a utility. The work is performed in collaboration with Perstorp, a world-leading company within several sectors of the specialty chemicals market. Together with Perstorp, a list of specifications for the production scheduling has been formulated. These are formulated... (More)
- The purpose of this paper is to formulate an optimization model for the production scheduling problem at continuous production sites. The production scheduling activity should produce a monthly schedule that accounts for orders and forecasts of all products. The plan should be updated every day, with feedback on the actual production the previous day. The actual daily production may be lower than the planned production due to disturbances, e.g. disruptions in the supply of a utility. The work is performed in collaboration with Perstorp, a world-leading company within several sectors of the specialty chemicals market. Together with Perstorp, a list of specifications for the production scheduling has been formulated. These are formulated mathematically in a mixed-integer linear program that is solved in receding horizon fashion. The formulation of the model aims to be general, such that it may be used for any process industrial site. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3736888
- author
- Lindholm, Anna LU ; Giselsson, Pontus LU ; Quttineh, Nils-Hassan ; Lidestam, Helene ; Johnsson, Charlotta LU and Forsman, Krister
- organization
- publishing date
- 2013
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- production scheduling, process industry, real-time optimization, receding horizon, mixed-integer linear program
- pages
- 6 pages
- conference name
- 22nd International Conference on Production Research
- conference location
- Iguassu Falls, Brazil
- conference dates
- 2013-07-28 - 2013-08-01
- external identifiers
-
- scopus:84929379376
- project
- PICLU
- language
- English
- LU publication?
- yes
- additional info
- key=lindholm13icpr project=upsetmanagement
- id
- 0c3a7996-f431-49b7-82fb-b328416bb1cd (old id 3736888)
- date added to LUP
- 2016-04-04 14:07:59
- date last changed
- 2024-01-13 11:22:21
@misc{0c3a7996-f431-49b7-82fb-b328416bb1cd, abstract = {{The purpose of this paper is to formulate an optimization model for the production scheduling problem at continuous production sites. The production scheduling activity should produce a monthly schedule that accounts for orders and forecasts of all products. The plan should be updated every day, with feedback on the actual production the previous day. The actual daily production may be lower than the planned production due to disturbances, e.g. disruptions in the supply of a utility. The work is performed in collaboration with Perstorp, a world-leading company within several sectors of the specialty chemicals market. Together with Perstorp, a list of specifications for the production scheduling has been formulated. These are formulated mathematically in a mixed-integer linear program that is solved in receding horizon fashion. The formulation of the model aims to be general, such that it may be used for any process industrial site.}}, author = {{Lindholm, Anna and Giselsson, Pontus and Quttineh, Nils-Hassan and Lidestam, Helene and Johnsson, Charlotta and Forsman, Krister}}, keywords = {{production scheduling; process industry; real-time optimization; receding horizon; mixed-integer linear program}}, language = {{eng}}, title = {{Production scheduling in the process industry}}, url = {{https://lup.lub.lu.se/search/files/6288198/3736895.pdf}}, year = {{2013}}, }