نتایج جستجو برای: threshold policy vacation machine repair cost optimization runge

تعداد نتایج: 1381085  

With the evolution of technology, the maintenance of sophisticated systems is of concern for system engineers and system designers. The maintenance cost of the system depends in general on the replacement and repair policies. The system replacement may be in a strictly periodic fashion or on a random basis depending upon the maintenance policy. At failure, the repair of the system may be perfor...

Journal: :Applied Mathematics and Computation 2015
Yang Woo Shin

There are many practical situations that have both features of customer retrials and server vacations. The vacation policy is characterized by the vacation startup rules and vacation termination rules. The queueing system with retrials and vacations has been described in variety of ways according to the vacation rules and retrial policies such as constant retrial policy and linear retrial polic...

2011
Rehab F. Khalaf Kailash C. Madan

Abstract This paper studies a batch arrival queueing system in which the server may face occasional random breakdowns. The repair process does not start immediately after a breakdown and there is a delay time waiting for repairs to start. Further, after every service completion the server has the option to leave for a vacation with probability p or continue serving with probability1 − p. The ma...

Journal: :international journal of mathematical modelling and computations 0
vijaya laxmi pikkala andhra university, visakhapatnam india suchitra vepada andhra university, visakhapatnam india

this paper analyzes renewal input state dependent queue with $n$- policy wherein the server takes exactly one vacation. using the supplementary variable technique and recursive method, we derive the steady state system length distributions at various epochs. various performance measures has been presented. finally, some numerical  computations in the form of graphs are presented to show the par...

Journal: :IEEE Journal on Selected Areas in Communications 2022

Given the proliferation of massive machine type communication devices (MTCDs) in beyond 5G (B5G) wireless networks, energy harvesting (EH) aided next generation multiple access (NGMA) systems have drawn substantial attention context energy-efficient data sensing and transmission. However, without adaptive time slot (TS) power allocation schemes, NGMA relying on stochastic sampling instants migh...

Journal: :international journal of mathematical modelling and computations 0
rathinasabapathy kalyanaraman professor of mathematics, annamalai university india professor of mathematics 2nd shanthi r assistant professor annamalai university india research scholar

we consider an m/g/1 queue with regular and optional phase vacation and withstate dependent arrival rate. the vacation policy is after completion of service if there are no customers in the system, the server takes vacation consisting of k -phases, each phase is generally distributed. here the first phase is compulsory where as the other phases are optional. for this model the supplementary var...

2011
Chia-Huang Wu Kuo-Hsiung Wang Jau-Chuan Ke Jyh-Bin Ke Wuyi Yue

This paper focuses on an M/M/s queue with multiple working vacations such that the server works with different service rates rather than no service during the vacation period. We show that this is a generalization of an M/M/1 queue with working vacations in the literature. Service times during vacation period, or during service period and vacation times are all exponentially distributed. We obt...

Journal: :Rel. Eng. & Sys. Safety 2016
Lei Xiao Sanling Song Xiaohui Chen David W. Coit

Joint optimization models were developed combining group preventive maintenance of a series system and production scheduling. In this paper, we propose a joint optimization model to minimize the total cost including production cost, preventive maintenance cost, minimal repair cost for unexpected failures and tardiness cost. The total cost depends on both the production process and the machine m...

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