Optimizing Steel Melt Shop Operations using an Iterative Hierarchical Decomposition based Discrete Event Simulation Model

Atanu Mukherjee, Arnab Adak

2015

Abstract

Maximizing productivity in a steel melt shop requires appropriate equipment and facility design and the synchronization of production across units like iron making, steel making, holding furnaces and casting of the molten metal. This requires that blockages and bottlenecks in the production chain be identified and overcome and the logistics in terms of equipment and facilities to move the materials appropriately designed. Removal of blockages and bottlenecks requires a combination of process redesign and investments in facilities and equipment in the production units supported by potential logistics redesign in terms routing and scheduling of equipments like cranes, ladle cars hot metal ladles and steel ladles used in the production shop . This approach addresses the system-wide bottleneck removal problem such that congestions, interferences, delays, stoppages and idle times coupled with process and cycle time variations; do not limit the end-to-end production. This paper presents how we improved the productivity in a melt-shop by using an iterative hierarchical decomposition based modelling and simulation approach to help identify the bottlenecks causing capacity loss, and experiment with options to redesign the system by suggesting mechanisms for improvement and additional facilities and logistical resources. The implementation of the system has resulted in a 28% increase in melt-shop throughput and increase and significant increase in profitability by decreasing hot metal diversions to alternative casting facilities.

References

  1. McGinty, J. T., Young, J. D., Greene, C. E, Kendrick, V.C., 2008. Use of Dynamic Computer Simulation for Optimal Melt shop Logistics. In Iron & Steel Technology.
  2. Mukherjee, A., Adak, A., Raj, P., Kirtania, S., 2012. Enhancing a System's Performance by Utilizing its Hidden Capacity using Discrete Event Simulation: A Case Study of a Steel Melt Shop. In International Simulation Conference of India. IIT Bombay, India.
  3. Buzen, J. P., 1976. Fundamental operational laws of computer system performance. In Acta Informatica.
  4. Jenning, P., Buzen, J., 1978. The Operational Analysis of Queuing Network Models. In Journal of ACM Computing Surveys.
  5. Harrell, C., Ghosh, B. K., Bowden, R. O., 2012. Simulation Using Promodel, McGraw-Hill. USA, 3rd edition.
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Paper Citation


in Harvard Style

Mukherjee A. and Adak A. (2015). Optimizing Steel Melt Shop Operations using an Iterative Hierarchical Decomposition based Discrete Event Simulation Model . In Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-120-5, pages 111-117. DOI: 10.5220/0005524101110117


in Bibtex Style

@conference{simultech15,
author={Atanu Mukherjee and Arnab Adak},
title={Optimizing Steel Melt Shop Operations using an Iterative Hierarchical Decomposition based Discrete Event Simulation Model},
booktitle={Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2015},
pages={111-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005524101110117},
isbn={978-989-758-120-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Optimizing Steel Melt Shop Operations using an Iterative Hierarchical Decomposition based Discrete Event Simulation Model
SN - 978-989-758-120-5
AU - Mukherjee A.
AU - Adak A.
PY - 2015
SP - 111
EP - 117
DO - 10.5220/0005524101110117