• Journal of Information Technology Services
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• v.12 no.4
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• pp.255-265
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• 2013

This paper proposes a DEA-AR model for the efficiency evaluation of the iron ore brands in an integrated steel mill. The input factor is defined as unit cost of each brand based on CIF and two output factors are chosen as Fe and Al which are the important ingredients of iron ore. The relative importance between two output factors is determined by several experts using AHP model. The efficiency of each brand is determined using DEA and DEA-AR models. The negative correlation between the DEA-AR efficiency and the unit cost (CIF) is shown as significant whereas no significant correlation exist between the efficiency and the output factors. Also, the Kruskal Wallis rank sum test shows that there exist efficiency differences among the iron ore types whereas no difference is shown among the countries. The result could be utilized in selecting good brands of iron ores based on the DEA-AR efficiency in an integrated steel mill.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.4
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• pp.547-553
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• 2018

An integrated iron and steel mill uses a large amount of water and produces wastewater which contains various contaminants such as iron, manganese, etc. Especially, in some regions of Southeast Asia, the concentration of silica in iron and steel mill wastewater is higher than in other countries. Silica is known to be one of the main causes for fouling in the membrane processes for water reuse. In cases of high concentrations of silica in iron and steel mill wastewater, the ferrous silicate tends to be formed. This could lead to higher fouling tendency depositing on the membrane surface. Therefore we conducted a pilot test to investigate the effect of silica and iron on the fouling tendency of reverse osmosis (RO) membrane for treating two types of wastewater from an integrated iron and steel mill. In this case of treated wastewater from iron and steel mill, RO pilot plant was operated with the fluxes 15.9LMH and 18.8LMH for 112 days to investigate the fouling characteristics. The results found that the fluctuation of flux was much wider than the average flux and the minimum permeability was low at 78%. In the case of treated runoff from an integrated iron and steel mill, the average concentration of iron was lower than in wastewater. RO pilot test was conducted with the flux 18.8LMH for 46 days. The results found that runoff had a lower fouling tendency and pre-treatment using microfiltration (MF) could minimize the fouling problem of RO.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.273-276
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• 2006

At an integrated steel mill, various raw material such as coal and iron ore are unloaded from a large ship. The unloaded raw material is then transported to storage yards through a complex belt conveyer network. We propose an optimization model for scheduling the unloading operations under the limitations of available berths, unloading equipments and transportation capacity of the belt conveyer network. We show that the problem is NP-Hard and propose a heuristic approach to the problem.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.263-281
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• 2017

Global optimization that considers the processes at integrated steel mills is more important than the local optimization to improve the efficiency of a single process. Research utilizing mathematical models at integrated steel mills predominantly focus on solving problems solely for a specific process or focusing on what techniques are applied to. However, it is important to define the problems that must be solved at the steelworks, identify the objectives and constraints that can be modeled, and selection of methodologies that can be applied to the problems. The purpose of this study is to investigate the problems in improving efficiency at integrated steel mills from the viewpoint of production & operations management. We review the research have been conducted in order to solve those problems. We classified the research into 6 categories and suggested future research direction based on the global optimization. It is expected that research themes for improving the efficiency at integrated steel mills will be derived.

• Proceedings of the IEEK Conference
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• 2001.10a
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• pp.437-442
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• 2001

In an integrated steel mill, zinc (Zn) inputs from raw materials and steel scrap are enriched in the dusts and sludges collected from gas and water cleaning systems. The reuse of these dusts and sludges must be controlled within certain limit to avoid Zn accumulation and related operational problems in blast furnace. An integrated system has been established at China Steel Corporation (CSC) to enhance the internal reuse of Zn-containing dust/sludge while keeping Zn input within control lim it. However. the performance of this system has not been very satisfactory until one and half years ago when a rationalization process was initiated. The essence of this rationalization process, the recent improvements in Zn control and dust and sludge reuse are reported and discussed.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.16-19
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• 2007

At an integrated steel mill, raw materials such as coal and iron ore are discharged by ships through multiple unloaders. The discharged raw material is then transported to storage yards through multiple routes established simultaneously on a fairly complicated belt conveyer network. Formulating an efficient unloading schedule is a quite cumbersome task due to the insufficient number of berths and unloaders as well as the potential conflict among routes being used simultaneously. In this paper, we propose a solution approach to the scheduling problem and describe the prototype system that we built as an implementation of our approach.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.177-188
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• 2011

This paper proposes a DEA model for the performance evaluation of each brand of coking coals in an integrated steel mill. The performance is defined as the efficiency which is the ratio of two linear combinations of the output factors to the input factors. There is only one input factor considered in the model : unit price of each brand based on CIF. Five output factors are chosen in consideration of their impact to the quality of cokes such as Ash, VM, LMF, TD, and Rm. Some of the output factors are treated as undesirable in DEA model because the quality criteria are given by the range. The CCR and BCC efficiencies are derived by the DEA model, and the scale efficiency is calculated, too. Each brand of coking coal is classified into four categories according to the CCR and BCC efficiencies, and the most inferior brands are identified as a result. The impact of the input and output factors to the efficiency is analyzed using a multiple regression, then the unit price is revealed as the most critical among them. Also, ANOVA results show that there exist efficiency differences among the coal types and the countries imported, respectively. Finally, the quantitative projection for the inefficient brands is performed if they are to be efficient. The result could be utilized in selecting the good or bad brands of coking coal based on the efficiency in an integrated steel mill. Also, this model will be used to assess the relative efficiency of a new brand of coking coal if it is a candidate to be imported.

• Journal of Radiation Protection and Research
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• v.26 no.3
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• pp.255-263
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• 2001

An Orphan Sources Control program controlled by a web based information system in Korea has been developed to satisfy the national demand on a total management of and integrated radiation safety. There are, currently, three approaches going on to control and manage the orphan sources in Korea. First, Korean regulatory authority has been conducting scrutinizing investigation on and thoroughly monitoring the possession of unlicensed radioactive sources from the late 1990s. Second, the regulatory authority will fully operate an information system on radiation safety to effectively trace and monitor all radioactive sources in the country by the mid 2001. Finally, the regulatory authority strongly advises steel mill companies to closely scrutinize and inspect the scrap metals when they attempt to reutilize metals to prevent from being contaminated by uncontrolled sources through the scrap monitoring systems.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2004.08a
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• pp.197-203
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• 2004

A full finite element (FE)-based approach is presented for the precision analysis of the strip profile in flat rolling. Basic FE models for the analysis of the mechanical behavior of the strip and of the rolls are described in detail. Also described is an iterative strategy for a rigorous treatment of the mechanical contact occurring at the roll-strip interface and at the roll-roll interface. Then, presented is an integrated FE process model for the coupled analysis of the mechanical behavior of the strip, work roll, and backup roll in four-high mill. A series of process simulation are conducted and the results are compared with the measurements made in hot and cold rolling experiments.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2004.08a
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• pp.297-306
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• 2004

This study investigated Austenite Grain Size (AGS) distribution in Low-Speed Round-Oval Rolling. Rolling experiments were done along with the AGS numerical modeling to characterize the final AGS distribution and its kinetics behavior. For bar rolling experiment, we utilized the pilot rolling mill, operating at 34 fixed rpm, at POSCO Technical Research Laboratories. To investigate the microstructural observation, the rigid-viscoplastic finite element analysis was combined with Hodgson's AGS evolution model. To consider the transient thermal history in the integrative AGS modeling, additivity rule was introduced. The integrated analysis revealed that static or meta-dynamic recrystallization is responsible for the AGS difference in the inner or outer region of rolled bar. Comparative study showed that the current AGS modeling approach can be used to model the overall AGS distribution in bar rolling processes. For more accurate AGS prediction, the AGS modeling method should be verified under the various rolling conditions such as different rolling speeds and different deformations.