Modelling and Optimization Methods of Integrated Production Planning for Steel Plate Mill with Flexible Customization
(2015) In Chinese Journal of Chemical Engineering- Abstract
- With diversified requirements and varying manufacturing environments, the optimal production planning encountered in a steel mill became more flexible and also complicated. The flexibility can provide the operators with auxiliary 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... (More)
- With diversified requirements and varying manufacturing environments, the optimal production planning encountered in a steel mill became more flexible and also complicated. The flexibility can provide the operators with auxiliary 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:
https://lup.lub.lu.se/record/7760627
- author
- Lu, Shan ; Su, Hongye ; Johnsson, Charlotta LU ; Wang, Yue and Xie, Lei
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- mixed integer nonlinear programming, flexibility, steel plate mill, production planning
- in
- Chinese Journal of Chemical Engineering
- publisher
- Chemical Industry Press
- ISSN
- 2210-321X
- language
- English
- LU publication?
- yes
- id
- b3802833-c6e4-4c63-a2ab-bc9e7ff7cd92 (old id 7760627)
- date added to LUP
- 2016-04-04 14:04:10
- date last changed
- 2019-06-19 10:12:54
@article{b3802833-c6e4-4c63-a2ab-bc9e7ff7cd92, abstract = {{With diversified requirements and varying manufacturing environments, the optimal production planning encountered in a steel mill became more flexible and also complicated. The flexibility can provide the operators with auxiliary 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 Wang, Yue and Xie, Lei}}, issn = {{2210-321X}}, keywords = {{mixed integer nonlinear programming; flexibility; steel plate mill; production planning}}, language = {{eng}}, publisher = {{Chemical Industry Press}}, series = {{Chinese Journal of Chemical Engineering}}, title = {{Modelling and Optimization Methods of Integrated Production Planning for Steel Plate Mill with Flexible Customization}}, year = {{2015}}, }