Optimal (<i>N</i>, <i>F</i>) policy for queue-dependent and time-sharing machining redundant system

Shekhar, Chandra; Jain, Madhu; Raina, Anupuma; Iqbal, Javid

doi:10.1108/ijqrm-07-2016-0105

Cited by 10 publications

(7 citation statements)

References 33 publications

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“…Liao (2016) integrated maintenance, production, reliability and free-repair warranty programs into an economic production quantity model of an imperfect process with an increasing hazard rate. Shekhar et al (2017) developed a mixed (N, F) policy based on Markovian model for redundant repairable machining system consisting of identical active operating machines which are prone to breakdown.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated maintenance and production decision fork-out-of-nsystem equipment with attenuation of product quality

Shao

Chen

Sarker

2019

IJQRM

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Purpose Equipment reliability significantly impacts productivity, and in order to obtain high equipment reliability and productivity, maintenance and production decision should be made simultaneously to keep manufacturing system healthy. The purpose of this paper is to investigate the joint optimization of equipment maintenance and production decision for k-out-of-n system equipment with attenuation of product quality and to explore the impact of maintenance on the production and cost control for manufacturers. Design/methodology/approach A multi-period Markov chain model for k-out-of-n system equipment is set up based on the assumption that the deterioration of equipment is a pure birth process. Then, the maintenance cost, setup cost, inventory holding cost, shortage cost, production cost and the quality cost are analyzed with the uncertain demand and the attenuation of product quality stemmed from equipment deterioration. The total lowest cost per unit time and its specific calculation method are presented. Finally, the robustness and flexibility of the method are verified by a numerical example and the effects of equipment deterioration intensity and attenuation of product quality are analyzed. Findings The result shows that the joint decision model could not only satisfy the uncertain demand with low cost and strong robustness but also make the output products high quality level. In addition, the attenuation of product quality would influence the equipment maintenance and production decision and leads to the production waste and increases the operation cost greatly. Originality/value Implications derived from this study can help production maintenance managers and reliability engineers adequately select maintenance policy to improve the equipment efficiency and productivity with high quality level at a relatively low cost.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated maintenance and production decision fork-out-of-nsystem equipment with attenuation of product quality

Shao

Chen

Sarker

2019

IJQRM

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“…F -policy Shekhar et al [42], Jain and Bhagat [53], Chang et al [70], Kumar and Jain [102], Yang and Wang [105], Jain et al [110], Kuo et al [124].…”

Section: Machining System With F -Policymentioning

confidence: 99%

A survey on queues in machining system: Progress from 2010 to 2017

et al. 2017

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The aim of the present article is to give a historical survey of some important research works related to queues in machining system since 2010. Queues of failed machines in machine repairing problem occur due to the failure of machines at random in the manufacturing industries, where different jobs are performed on machining stations. Machines are subject to failure what may result in significant loss of production, revenue, or goodwill. In addition to the references on queues in machining system, which is also called 'Machine Repair Problem' (MRP) or 'Machine Interference Problem' (MIP), a meticulous list of books and survey papers is also prepared so as to provide a detailed catalog for understanding the research in queueing domain. We have classified the relevant literature according to a year of publishing, methodological, and modeling aspects. The author(s) hope that this survey paper could be of help to learners contemplating research on queueing domain.

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“…Huang et al (2015) presented a fault-tolerant system in which preventive maintenance is provided with the provision of a warm standby unit to improve the performance of the system. Shekhar et al (2017b) presented the optimal design of redundant repairable machining system with (N,F) policies. Chen and Wang (2018) studied the repairable machining system with warm standby units under the care of a single controllable server.…”

Section: Introductionmentioning

confidence: 99%

Transient analysis of computing system with reboot and recovery delay

Shekhar

Gupta

Jain

et al. 2020

IJQRM

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PurposeThe purpose of this paper is to present a sensitivity analysis of fault-tolerant redundant repairable computing systems with imperfect coverage, reboot and recovery process.Design/methodology/approachIn this investigation, the authors consider the computing system having a finite number of identical working units functioning simultaneously with the provision of standby units. Working and standby units are prone to random failure in nature and are administered by unreliable software, which is also likely to unpredictable failure. The redundant repairable computing system is modeled as a Markovian machine interference problem with exponentially distributed failure rates and service rates. To excerpt the failed unit from the computing system, the system either opts randomized reboot process or leads to recovery delay.FindingsTransient-state probabilities have been determined with which the authors develop various reliability measures, namely reliability/availability, mean time to failure, failure frequency, and so on, and queueing characteristics, namely expected number of failed units, the throughput of the system and so on, for the predictive purpose. To spectacle the practicability of the developed model, a numerical simulation, sensitivity analysis and so on for different parameters have also been done, and the results are summarized in the tables and graphs. The transient results are helpful to analyze the developing model of the system before having the stability of the system. The derived measures give direct insights into parametric decision-making.Social implicationsThe conclusion has been drawn, and future scope is remarked. The present research study would help system analyst and system designer to make a better choice/decision in order to have the economical design and strategy based on the desired mean time to failure, reliability/availability of the systems and other queueing characteristics.Originality/valueDifferent from previous investigations, this studied model provides a more accurate assessment of the computing system compared to uncertain environments based on sensitivity analysis.

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Optimal (N, F) policy for queue-dependent and time-sharing machining redundant system

Cited by 10 publications

References 33 publications

Integrated maintenance and production decision fork-out-of-nsystem equipment with attenuation of product quality

Integrated maintenance and production decision fork-out-of-nsystem equipment with attenuation of product quality

A survey on queues in machining system: Progress from 2010 to 2017

Transient analysis of computing system with reboot and recovery delay

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