Advanced

Production scheduling in the process industry

Lindholm, Anna LU ; Giselsson, Pontus LU ; Quttineh, Nils-Hassan; Lidestam, Helene; Johnsson, Charlotta LU and Forsman, Krister (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:
author
organization
publishing date
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
external identifiers
  • scopus:84929379376
project
PICLU
language
English
LU publication?
yes
id
0c3a7996-f431-49b7-82fb-b328416bb1cd (old id 3736888)
date added to LUP
2013-05-10 09:24:31
date last changed
2017-06-11 05:02:24
@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},
  keyword      = {production scheduling,process industry,real-time optimization,receding horizon,mixed-integer linear program},
  language     = {eng},
  pages        = {6},
  title        = {Production scheduling in the process industry},
  year         = {2013},
}