Advanced

Modelling and Optimization Methods of Integrated Production Planning for Steel Plate Mill with Flexible Customization

Lu, Shan; Su, Hongye; Johnsson, Charlotta LU and Xie, Lie (2014) 25th Chinese Process Control Conference (CPCC2014)
Abstract
With diversified requirements and varying manufacturing environments, the optimal production planning encountered in a steel mill has become more flexible and also complicated. The flexibility provides the operator with auxiliary options to satisfy customer requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is formulated for the optimal planning that incorporates various manufacturing constraints and the flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome the weakness of solving MINLP problem directly. The first one is to transform the original MINLP formulation to an approximate mixed integer linear... (More)
With diversified requirements and varying manufacturing environments, the optimal production planning encountered in a steel mill has become more flexible and also complicated. The flexibility provides the operator with auxiliary options to satisfy customer requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is formulated for the optimal planning that incorporates various manufacturing constraints and the flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome the weakness of solving MINLP problem directly. The first one is to transform the original MINLP formulation to an approximate mixed integer linear programming (MILP) 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 problem instances are presented in terms of the effectiveness and applicability. The result shows that the proposed second method performs better in computational efforts and solution accuracy. (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
mixed integer nonlinear programming, flexibility, steel plate mill, production planning
pages
13 pages
conference name
25th Chinese Process Control Conference (CPCC2014)
language
English
LU publication?
yes
id
556536de-54f4-4310-a761-445861b0420a (old id 7760646)
date added to LUP
2015-08-17 09:31:16
date last changed
2016-09-26 16:23:32
@misc{556536de-54f4-4310-a761-445861b0420a,
  abstract     = {With diversified requirements and varying manufacturing environments, the optimal production planning encountered in a steel mill has become more flexible and also complicated. The flexibility provides the operator with auxiliary options to satisfy customer requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is formulated for the optimal planning that incorporates various manufacturing constraints and the flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome the weakness of solving MINLP problem directly. The first one is to transform the original MINLP formulation to an approximate mixed integer linear programming (MILP) 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 problem instances are presented in terms of the effectiveness and applicability. The result shows that the proposed second method performs better in computational efforts and solution accuracy.},
  author       = {Lu, Shan and Su, Hongye and Johnsson, Charlotta and Xie, Lie},
  keyword      = {mixed integer nonlinear programming,flexibility,steel plate mill,production planning},
  language     = {eng},
  pages        = {13},
  title        = {Modelling and Optimization Methods of Integrated Production Planning for Steel Plate Mill with Flexible Customization},
  year         = {2014},
}