Performance analysis of threshold based renovation mechanism in sintering process using queueing theoretic approach

• Main Authors: Niranjan, Palani, Krishnasamy, Elavarasan, Krishnasamy, Karthik, Velumayil, Ramesh
• Format: Conference Proceeding
• Language: English
• Subjects: Continuous furnaces; Continuous sintering; Cost analysis; Energy distribution; Operating costs; Poisson distribution; Queueing; Sintering; Sintering furnaces; Statistical analysis
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0241768

Effective service management and energy saving play an important role in sintering process and service management. Bulk components are received from various user for sintering process which follows Poisson distribution. Available components are put together into sintering furnace to make objects. Sintering furnace can able to hold minimum fixed threshold value of ‘a′ and maximum fixed threshold value of ‘b′ number of components. To minimize the operating cost, the sintering process will be started only when minimum of ‘a′ components are waiting for service. After the process begins, multiple batches of bulk operations must be carried out consecutively to avoid a rise in operational costs. A general distribution of the processing time is assumed. Continuously operating the sintering furnace may result in server failure or production of defective items. Addressing this the operator of the machine may fix some threshold value for number of times the sintering process has to be done continuously without defectives. This threshold value may help the machine to undergo with renovation works. The paper primarily focused to obtain the number of successive service to undergo renovation works which may improve the efficiency of sintering furnace. To reduce the mean cost of the sintering process, optimal cost analysis will be performed. By implementing queueing theoretic approach for sintering process to probability function that generates the number of components waiting for sintering process at arbitrary time is derived by applying a method called supplementary variable techniques. Additionally, a number of sintering process performance parameters will be calculated and appropriately illustrated numerically.