Abstract
Modelling and simulation of industrial systems have become a conventional method for productivity improvement through optimizing design, operation, performance and troubleshooting. This paper analyses the current Shearcut process flow through modelling and simulation. A case study research was undertaken at a steel processing company that transform steel coils into sheets, plates, slits, tubes, blanks and various roofing products. Two models were created using Arena software. The models were a representation of the process flow found in the Shearcut warehouse. The first model was developed from data obtained from production records and time studies that were carried out on some of the operations. Bottleneck stations and non-value adding operations were identified. The second model was created with some improvements that included reduced non-value adding times. Results from the second model had an improved output. This paper contributes to the use of computer simulation as a tool to improve productivity.
Highlights
Modelling and simulation are emerging as key technologies in supporting manufacturing in the 21st century
It is believed that there is a need for pervasive utilization of modelling and simulation for decision support in current and future manufacturing
This study presents simulation modelling using arena software to improve efficiency in a steel processing company that transform steel coils into sheets, plates, slits, tubes, blanks and various roofing products
Summary
Modelling and simulation are emerging as key technologies in supporting manufacturing in the 21st century. In today’s competitive global market, there have been numerous efforts to use modelling and simulation tools and techniques to improve manufacturing efficiency within the dimensions of business [1]. It has been reported that the survival of any business in today’s competitive market is based on response time, production cost, market price, and flexibility of manufacturing [2]. The manufacturing industry has to respond quickly to these changes and continuously improve manufacturing systems in order to sustain their competitiveness [3]. It is believed that there is a need for pervasive utilization of modelling and simulation for decision support in current and future manufacturing.
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