scholarly journals An optimal design of a soaking-pit rolling-mill system

SIMULATION ◽  
1972 ◽  
Vol 18 (6) ◽  
pp. 207-214 ◽  
Author(s):  
Said Ashour ◽  
S.G. Bindingnavle

While attention in the iron and steel industry has been focused on the study and analysis of the flow of materials through the main productive units (blast furnaces, steel works, and rolling mills), the analysis of this flow through the nonproductive units (the mixer and soaking pits) is generally over looked. These two units would create serious bottle necks in production if their capacities were not properly determined before being installed. This paper considers the soaking-pit/rolling-mill complex as a queueing system in which the soaking pits are viewed as units circulating a cyclic queue, and the rolling mill as the service station. A simulation model representing the pit-mill system is developed: (1) To predict the improvement in the capacity of the system through adding more pits (2) To predict the effect of breakdowns and mainte nance or the shutdown of a pit. Several criteria, including their economic aspects, are used to measure the performance of the system. The optimal capacity of the system is determined such that an economic balance between the cost of service and the cost of waiting for that service is achieved.

Author(s):  
Pan-Hong Zhang ◽  
Gong-Bing Bi

The study presents an empirical efficiency analysis for China's iron and steel industry by applying data envelopment analysis. From a theoretical perspective, an improved method is proposed to allow decision makers to select the production function between linear and exponential forms under the assumption of variable returns-to-scale. From a practical perspective, the paper attempts to explore the production function form of 15 representative iron and steel companies in China. Furthermore, the cost efficiency is decomposed into technical efficiency and allocative efficiency in this context. Some suggestions are put forward to improve inefficient companies.


2011 ◽  
Vol 287-290 ◽  
pp. 92-95
Author(s):  
Wan Lei Wang ◽  
Qiu Nan Meng ◽  
Xiao Bing Liu

Raw material cost control is becoming an important aspect in the steel enterprise’s cost management, as the raw material cost occupies a large proportion in the cost of product. Therefore, the raw material cost control model which ensures the minimum raw material cost with the qualified contents of chemical ingredients in the product is established. The arithmetic based on Lagrange multipliers is proposed to solve the described model. The model verification provides great support for reducing the cost and configuring resources optimally.


FLORESTA ◽  
2018 ◽  
Vol 48 (4) ◽  
pp. 453
Author(s):  
Guilherme Carvalho Lana ◽  
Romano Timofeiczyk Junior ◽  
Dimas Agostinho Da Silva ◽  
Ricardo Anselmo Malinovski ◽  
David Alexandre Buratto

This study aimed to analyze the production cost structure of the system of short logs, operating with the log lengths of 2.1 m, 3.7 m and 5.0 m and to determine which of the three log lengths enables a lower final cost in the production of charcoal. Data collected from a forestry company in the municipality of Paraopeba (state of Minas Gerais, Brazil) were used. An analysis of the cutting process, the transportation and the charcoal production was performed. The results showed that the hourly cost of the short log system is higher when using larger log lengths. The cost per unit quantities (cubic meters and tons) of treatments with longer logs is smaller due to its higher yield time. The system with logs of 5.0 m presents an inferior cost for the production of charcoal when compared to the same system with logs between 3.7 m and 2.1 m of length.


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