Queuing Scheme with Feedback Service and Discretionary Administration

This article take a gander at a bunch area single server channel Queuing system, where the server gives two sorts of organizations viz., beginning one a central organization and the optional organization is permitted as a second organization. In case in need, the customer settle on the optional organization .We other than anticipate that after the execution of the second time of affiliation, if the structure is unfilled, the server takes a required get-away of general dissemination. Organization thwarts in the midst of principal organization at random. Additionally if the customer isn't satisfied with the primary central organization, an info advantage for the proportionate is given to make a worthy space for the customers in the system. For the above delineated covering issue, the supplementary variable technique and generating function approach are used to derive the probability generating function of the queue size and the average length of the queue.

Investment Casting Queuing Procedure

Investment casting is a modern procedure dependent on lost-wax throwing, which is one of the most seasoned known metal-farming methods. Investment casting gets its name from the example being contributed (encompassed) with a headstrong material. The process carried out in Investment casting is well investigated by means of Queuing concept. By the usage of supplementary variable technique, the Queuing issue in investment casting is solved and its corresponding probability generating queue size and all its execution measures are determined. Numerical and graphical study throws eminent recognition for the queuing model under study.

Queuing Analysis on Multiple Vacation Policies and Reneging

We study a non markovian queue which renders service to the customers. After the completion of service the server ought to go for the compulsory vacation stage by stage in succession. We consider one of the customer’s behaviors reneging to occur when the server’s vacation is extended. Using Supplementary variable technique the system performance measures is derived.

Improving Industrial Systems Reliability — An Application in Sugar Industry

To improve the reliability of the industrial systems, the main requirement is to identify the most expected failures and to minimize the effects of such failures. This can be achieved through availability evaluation of the systems of the industry. Here, the performance analysis of molasses (by-product of sugarcane) making system is carried out. The system consists of four subsystems, namely: Crystallizer, C-fore worker, C-after Worker and Melter. Functioning of these subsystems is in series and within subsystems have different working configurations. Equations associated with the system model are developed and solved to get the state probabilities by using supplementary variable technique. A particular case is also considered to show the availability and expected behavior of the molasses making system. Numerical results are obtained to explain the effect of subsystems working behavior.

The effect of transformer parameters on reliability assessment with the help of health index

Purpose The purpose of this paper is to study various reliability measures like reliability, mean time to failure (MTTF) and sensitivity of transformer including different parameters of insulating oil/paper as health index. Design/methodology/approach The reliability characteristics of transformer incorporating different parameters of insulating oil as well as paper have been evaluated using Markov process incorporating Gumbel–Hougaard copula, Laplace transforms and supplementary variable technique. The parameters taken into consideration are breakdown voltage (BDV) and moisture content (MC) of both insulating oil and paper, and other parameters considered are interfacial tension (IFT), dissipation factor (DF), degree of polymerization (DOP) and furanic content (FC) for insulating oil and paper, respectively. By probability consideration and continuity influence, difference-differential equations have been obtained for the considered model. Findings Transition state probabilities, reliability, MTTF and sensitivity of the transformer corresponding to different parameters of insulating oil and paper have been evaluated with the help of aforementioned technique. Variations of reliability with respect to time along with the variations of MTTF and sensitivity have also been examined. Remarkable points during the study have also been pointed out. Originality/value Reliability characteristics of the transformer have been evaluated including two parameters: insulating oil and paper with the help of supplementary variable technique, considering two different types of repairs incorporating Gumbel–Hougaard family of copula unlike done earlier. Reliability, MTTF and sensitivity of transformer have been analyzed considering the parameters: BDV, MC, IFT and FC of insulating oil, and BDV, MC, DOP, DF of insulating paper.

Performance Analysis and Maintenance Planning of Evaporation System in the Sugar Industry by Using Supplementary Variable Technique

In this paper, a reliability model for evaporation system in sugar industry is developed to accomplish performance evolution. This system consists of three subsystems, namely evaporator, syrup sulphitor and sulphited syrup. These subsystems are working in series. Failure time distribution of subsystems is exponential, whereas repair time distribution of subsystems is arbitrary. The differential difference equations associated with state changeover model of the system are developed by using supplementary variable technique and solved to get state probabilities of the system model. The results for some measures (availability and profit) of system performance are obtained in steady state. A particular case is also considered to show the behavior of availability and profit analysis of the evaporation system.