A system model to improve the productivity of a south African steel industry

T. Munyai; C. Mbohwa; O. A. Makinde; B. I. Ramatsetse

doi:10.1109/IEEM.2017.8289906

A system model to improve the productivity of a south African steel industry

T. Munyai
, C. Mbohwa
, O. A. Makinde
, B. I. Ramatsetse

Quality and Operations Management

Tshwane University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

South African steel manufacturers are now under pressure to stay functional within the competitive business environment, since the productivity in this industry over the past couple of years has been dwindling. However, productivity measurement and monitoring, which plays an important role in driving steel productivity improvement has not been explored. The present research work therefore developed a system model capable of measuring and monitoring the productivity of these industries. This was achieved by modelling and simulating the South African Steel Industry using the real life manufacturing operating conditions of this industry. Simulation results of the virtual South African Steel Industry showed that the saw master and milling machines, with a total number of 241 and 304 unprocessed workpiece at their respective stations are the bottlenecked machines. Hand sawing machine and relatively cheap milling machine were recommended to support the existing steel production process in order to alleviate the bottlenecks.

Original language	English
Title of host publication	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Publisher	IEEE Computer Society
Pages	329-333
Number of pages	5
ISBN (Electronic)	9781538609484
DOIs	https://doi.org/10.1109/IEEM.2017.8289906
Publication status	Published - 2 Jul 2017
Event	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore Duration: 10 Dec 2017 → 13 Dec 2017

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2017-December
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/Territory	Singapore
City	Singapore
Period	10/12/17 → 13/12/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Bottleneck
Productivity
South African Steel Industry
System model

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1109/IEEM.2017.8289906

Cite this

Munyai, T., Mbohwa, C., Makinde, O. A., & Ramatsetse, B. I. (2017). A system model to improve the productivity of a south African steel industry. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 (pp. 329-333). (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2017.8289906

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abstract = "South African steel manufacturers are now under pressure to stay functional within the competitive business environment, since the productivity in this industry over the past couple of years has been dwindling. However, productivity measurement and monitoring, which plays an important role in driving steel productivity improvement has not been explored. The present research work therefore developed a system model capable of measuring and monitoring the productivity of these industries. This was achieved by modelling and simulating the South African Steel Industry using the real life manufacturing operating conditions of this industry. Simulation results of the virtual South African Steel Industry showed that the saw master and milling machines, with a total number of 241 and 304 unprocessed workpiece at their respective stations are the bottlenecked machines. Hand sawing machine and relatively cheap milling machine were recommended to support the existing steel production process in order to alleviate the bottlenecks.",

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Munyai, T, Mbohwa, C, Makinde, OA & Ramatsetse, BI 2017, A system model to improve the productivity of a south African steel industry. in 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2017-December, IEEE Computer Society, pp. 329-333, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017, Singapore, Singapore, 10/12/17. https://doi.org/10.1109/IEEM.2017.8289906

A system model to improve the productivity of a south African steel industry. / Munyai, T.; Mbohwa, C.; Makinde, O. A. et al.
2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society, 2017. p. 329-333 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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PY - 2017/7/2

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N2 - South African steel manufacturers are now under pressure to stay functional within the competitive business environment, since the productivity in this industry over the past couple of years has been dwindling. However, productivity measurement and monitoring, which plays an important role in driving steel productivity improvement has not been explored. The present research work therefore developed a system model capable of measuring and monitoring the productivity of these industries. This was achieved by modelling and simulating the South African Steel Industry using the real life manufacturing operating conditions of this industry. Simulation results of the virtual South African Steel Industry showed that the saw master and milling machines, with a total number of 241 and 304 unprocessed workpiece at their respective stations are the bottlenecked machines. Hand sawing machine and relatively cheap milling machine were recommended to support the existing steel production process in order to alleviate the bottlenecks.

AB - South African steel manufacturers are now under pressure to stay functional within the competitive business environment, since the productivity in this industry over the past couple of years has been dwindling. However, productivity measurement and monitoring, which plays an important role in driving steel productivity improvement has not been explored. The present research work therefore developed a system model capable of measuring and monitoring the productivity of these industries. This was achieved by modelling and simulating the South African Steel Industry using the real life manufacturing operating conditions of this industry. Simulation results of the virtual South African Steel Industry showed that the saw master and milling machines, with a total number of 241 and 304 unprocessed workpiece at their respective stations are the bottlenecked machines. Hand sawing machine and relatively cheap milling machine were recommended to support the existing steel production process in order to alleviate the bottlenecks.

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Munyai T, Mbohwa C, Makinde OA, Ramatsetse BI. A system model to improve the productivity of a south African steel industry. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society. 2017. p. 329-333. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2017.8289906

A system model to improve the productivity of a south African steel industry

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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