A Survey of Mathematical Programming Applications in Integrated Steel Plants

Dutta, Goutam; Fourer, Robert

doi:10.1287/msom.3.4.387.9972

Cited by 71 publications

(29 citation statements)

References 45 publications

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“…Therefore, our literature review is focused on the steel industry. Optimization tools have been applied to a large variety of decision problems in the steel industry (Dutta and Fourer 2001). Tactical and operational planning problems are a subset of such problems.…”

Section: Related Literature and Problem Complexitymentioning

confidence: 99%

Coil Batching to Improve Productivity and Energy Utilization in Steel Production

Tang

Meng

Chen

et al. 2016

M&SOM

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This paper investigates a practical batching decision problem that arises in the batch annealing operations in the cold rolling stage of steel production faced by most large iron and steel companies in the world. The problem is to select steel coils from a set of waiting coils to form batches to be annealed in available batch annealing furnaces and choose a median coil for each furnace. The objective is to maximize the total reward of the selected coils less the total coil-coil and coil-furnace mismatching cost. For a special case of the problem that arises frequently in practical settings where the coils are all similar and there is only one type of furnace available, we develop a polynomial-time dynamic programming algorithm to obtain an optimal solution. For the general case of the problem which is strongly NP-hard, an exact branch-and-price-and-cut solution algorithm is developed using a column and row generation framework. A variable reduction strategy is also proposed to accelerate the algorithm. The algorithm is capable of solving medium size instances to optimality within a reasonable computation time. In addition, a tabu search heuristic is proposed for solving larger instances. Three simple search neighborhoods as well as a sophisticated variable depth neighborhood are developed. This heuristic can generate near-optimal solutions for large instances within a short computation time.Using both randomly generated and real-world production data sets, it is shown that our algorithms are superior to a typical rule-based planning approach used by many steel plants. A decision support system that embeds our algorithms was developed and implemented at Baosteel to replace their rule-based planning method. The use of the system brings significant benefits to Baosteel, including an annual net profit increase of at least 1.76 million US Dollars, and a large reduction of standard coal consumption and carbon dioxide emissions.

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Section: Related Literature and Problem Complexitymentioning

confidence: 99%

Coil Batching to Improve Productivity and Energy Utilization in Steel Production

Tang

Meng

Chen

et al. 2016

M&SOM

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“…For a complex production environment as the one described above, different approaches to cope with the complexity are discussed in literature. Dutta and Fourer (2001) provide an overview of typical planning problems, whereas Denton, Gupta, and Jawahir (2003) discuss approaches to handle the increasing product variety. A well-established approach to obtain a consistent production plan is the hierarchical production plan approach discussed in the steel industry context by Neureuther, Polak, and Sanders (2004), Lin andMoodie (1989), or Mohanty andSingh (1992).…”

Section: Make-to-order Steel Manufacturingmentioning

confidence: 99%

Revenue Management in Make-To-Order Manufacturing: Case Study of Capacity Control at ThyssenKrupp VDM

Hintsches

Spengler

Völling

et al. 2010

Bus Res

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“…A survey on mathematical programming applications indicates that a broader application of optimization has been focusing on chemical and petroleum engineering. For the metallurgical industry it has been mainly restricted to the application of linear programming for inventory control, blending, scheduling and similar purposes [7]. Deo et al [8] described the possibilities to use either mathematical programming or genetic algorithms to find the optimum operating conditions in integrated steelmaking.…”

Section: Model Descriptionmentioning

confidence: 99%

A model on CO₂emission reduction in integrated steelmaking by optimization methods

Wang

Larsson

Ryman

et al. 2008

Int. J. Energy Res.

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SUMMARYThe iron and steel industry is a large energy user in the manufacturing sector. Carbon dioxide from the steel industry accounts for about 5-7% of the total anthropogenic CO 2 emission. Concerns about energy consumption and climate change have been growing on the sustainability agenda of the steel industry. The CO 2 emission will be heavily influenced with increasing steel production in the world. It is of great interest to evaluate and decrease the specific CO 2 emission and to find out feasible solutions for its reduction. In this work, a process integration method focusing on the integrated steel plant system has been applied. In this paper, an optimization model, which can be used to evaluate CO 2 emission for the integrated steel plant system, is presented. Two application cases of analysing CO 2 emission reduction possibilities are included in the paper. Furthermore, the possibility to apply the model for a specific integrated steel plant has been discussed. The research work on the optimization of energy and CO 2 emission has shown that it is possible to create a combined optimization tool that is powerful to assess the system performance from several aspects for the steel plant.

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A Survey of Mathematical Programming Applications in Integrated Steel Plants

Cited by 71 publications

References 45 publications

Coil Batching to Improve Productivity and Energy Utilization in Steel Production

Coil Batching to Improve Productivity and Energy Utilization in Steel Production

Revenue Management in Make-To-Order Manufacturing: Case Study of Capacity Control at ThyssenKrupp VDM

A model on CO₂emission reduction in integrated steelmaking by optimization methods

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A Survey of Mathematical Programming Applications in Integrated Steel Plants

Cited by 71 publications

References 45 publications

Coil Batching to Improve Productivity and Energy Utilization in Steel Production

Coil Batching to Improve Productivity and Energy Utilization in Steel Production

Revenue Management in Make-To-Order Manufacturing: Case Study of Capacity Control at ThyssenKrupp VDM

A model on CO2emission reduction in integrated steelmaking by optimization methods

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Product

Resources

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A model on CO₂emission reduction in integrated steelmaking by optimization methods