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Modeling and optimization methods of integrated production planning for steel plate mill with flexible customization

Lu, Shan; Su, Hongye; Johnsson, Charlotta LU ; Wang, Yue and Xie, Lei (2015) In Chinese Journal of Chemical Engineering 23(12). p.2037-2047
Abstract
With diversified requirements and varying manufacturing environments, the optimal production planning for a steelmill becomes more flexible and complicated. The flexibility provides operators with auxiliary requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is proposed for the optimal planning that incorporates various manufacturing constraints and flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome the weakness in solving the MINLP problem directly. The first one is to transform the original MINLP formulation to an approximate mixed integer linear programming using a classic linearization method. The second... (More)
With diversified requirements and varying manufacturing environments, the optimal production planning for a steelmill becomes more flexible and complicated. The flexibility provides operators with auxiliary requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is proposed for the optimal planning that incorporates various manufacturing constraints and flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome the weakness in solving the MINLP problem directly. The first one is to transform the original MINLP formulation to an approximate mixed integer linear programming using a classic linearization method. The second one is to decompose the original model using a branch-and-bound based iterative method. Computational experiments on various instances are presented in terms of the effectiveness and applicability. The result shows that the second method performs better in computational efforts and solution accuracy. (C) 2015 The Chemical Industry and Engineering Society of China, and Chemical Industry Press. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Production planning, Steel plate mill, Flexibility, Mixed integer, nonlinear programming
in
Chinese Journal of Chemical Engineering
volume
23
issue
12
pages
2037 - 2047
publisher
Chemical Industry Press
external identifiers
  • wos:000367537400015
  • scopus:84977939754
ISSN
2210-321X
DOI
10.1016/j.cjche.2015.10.003
language
English
LU publication?
yes
id
2aca5239-26d4-4cad-bae2-dac2c1c5be48 (old id 8761448)
date added to LUP
2016-02-22 14:22:12
date last changed
2017-04-23 03:17:53
@article{2aca5239-26d4-4cad-bae2-dac2c1c5be48,
  abstract     = {With diversified requirements and varying manufacturing environments, the optimal production planning for a steelmill becomes more flexible and complicated. The flexibility provides operators with auxiliary requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is proposed for the optimal planning that incorporates various manufacturing constraints and flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome the weakness in solving the MINLP problem directly. The first one is to transform the original MINLP formulation to an approximate mixed integer linear programming using a classic linearization method. The second one is to decompose the original model using a branch-and-bound based iterative method. Computational experiments on various instances are presented in terms of the effectiveness and applicability. The result shows that the second method performs better in computational efforts and solution accuracy. (C) 2015 The Chemical Industry and Engineering Society of China, and Chemical Industry Press. All rights reserved.},
  author       = {Lu, Shan and Su, Hongye and Johnsson, Charlotta and Wang, Yue and Xie, Lei},
  issn         = {2210-321X},
  keyword      = {Production planning,Steel plate mill,Flexibility,Mixed integer,nonlinear programming},
  language     = {eng},
  number       = {12},
  pages        = {2037--2047},
  publisher    = {Chemical Industry Press},
  series       = {Chinese Journal of Chemical Engineering},
  title        = {Modeling and optimization methods of integrated production planning for steel plate mill with flexible customization},
  url          = {http://dx.doi.org/10.1016/j.cjche.2015.10.003},
  volume       = {23},
  year         = {2015},
}