Modeling and optimization methods of integrated production planning for steel plate mill with flexible customization
Författare
Summary, in English
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.
Avdelning/ar
Publiceringsår
2015
Språk
Engelska
Sidor
2037-2047
Publikation/Tidskrift/Serie
Chinese Journal of Chemical Engineering
Volym
23
Issue
12
Dokumenttyp
Artikel i tidskrift
Förlag
Chemical Industry Press
Ämne
- Production Engineering, Human Work Science and Ergonomics
Nyckelord
- Production planning
- Steel plate mill
- Flexibility
- Mixed integer
- nonlinear programming
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 2210-321X