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A Production Planning Model for a Steel Plate Fabrication Plant with Flexible Customization and Manufacturing

Lu, Shan; Su, Hongye; Johnsson, Charlotta LU and Xie, Lie (2014) 19th IFAC World Congress, 2014
Abstract
With increased market competition and advances in modern manufacturing technologies, requirements on customer orders and manufacturing conditions have become more diversified. This paper addresses a dynamic production planning problem for a steel plate fabrication plant with practical flexibility of both customers and manufacturing, such as steel slab-plate matching rules, plate substitution options, production line assignment. These flexibility factors can provide the decision maker with auxiliary options to satisfy customer requirements through realizable production planning. The steel slab-plate matching rules combined with plate substitution options are visualized by a networked graph and formulated by a set based design. A... (More)
With increased market competition and advances in modern manufacturing technologies, requirements on customer orders and manufacturing conditions have become more diversified. This paper addresses a dynamic production planning problem for a steel plate fabrication plant with practical flexibility of both customers and manufacturing, such as steel slab-plate matching rules, plate substitution options, production line assignment. These flexibility factors can provide the decision maker with auxiliary options to satisfy customer requirements through realizable production planning. The steel slab-plate matching rules combined with plate substitution options are visualized by a networked graph and formulated by a set based design. A mixed-integer nonlinear programming (MINLP) model that incorporates various manufacturing constraints and the flexibility is proposed to simultaneously optimize production strategy and provide practical managerial information such as backlogging/inventory level, capacity availability, and also steel slab demand. Linearization methods are used to transform the original MINLP problem into mixed integer linear programming (MILP) model resulting in easier and quicker solutions. A real industrial steel plate fabrication plant is used as a case and illustrates the effectiveness and applicability of the proposed method. (Less)
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author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
mixed-integer linear programming, Production planning
pages
6 pages
conference name
19th IFAC World Congress, 2014
external identifiers
  • Scopus:84929833689
language
English
LU publication?
yes
id
cb671ae1-bcb4-403e-935c-db536b99c28d (old id 7760731)
date added to LUP
2015-08-18 09:13:36
date last changed
2016-11-13 04:34:50
@misc{cb671ae1-bcb4-403e-935c-db536b99c28d,
  abstract     = {With increased market competition and advances in modern manufacturing technologies, requirements on customer orders and manufacturing conditions have become more diversified. This paper addresses a dynamic production planning problem for a steel plate fabrication plant with practical flexibility of both customers and manufacturing, such as steel slab-plate matching rules, plate substitution options, production line assignment. These flexibility factors can provide the decision maker with auxiliary options to satisfy customer requirements through realizable production planning. The steel slab-plate matching rules combined with plate substitution options are visualized by a networked graph and formulated by a set based design. A mixed-integer nonlinear programming (MINLP) model that incorporates various manufacturing constraints and the flexibility is proposed to simultaneously optimize production strategy and provide practical managerial information such as backlogging/inventory level, capacity availability, and also steel slab demand. Linearization methods are used to transform the original MINLP problem into mixed integer linear programming (MILP) model resulting in easier and quicker solutions. A real industrial steel plate fabrication plant is used as a case and illustrates the effectiveness and applicability of the proposed method.},
  author       = {Lu, Shan and Su, Hongye and Johnsson, Charlotta and Xie, Lie},
  keyword      = {mixed-integer linear programming,Production planning},
  language     = {eng},
  pages        = {6},
  title        = {A Production Planning Model for a Steel Plate Fabrication Plant with Flexible Customization and Manufacturing},
  year         = {2014},
}