A bivariate replacement policy (T, N) under partial product process
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.2.15Keywords:
Partial Product Process, Replacement Policy, Shock Models.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Considering an extreme shock maintenance model for a degenerative simple repairable system, explicit expressions for the long-run average cost under the bivariate replacement policy (T, N) has been obtained. The existence of the optimal value of (T, N) has been deduced. A numerical example is included to illustrate the theoretical results.Abstract
How to Cite
Downloads
Similar Articles
- Manish Kumar, Nirupama Prakash, Saket Bihari, The role of public-private partnerships in facilitating international migration of semi-skilled workers–A case study of Varanasi and nearby districts , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Anvar Mavlonov , Saidamir Saidov , Jakhongir Mirsultanov, Rano Boboeva , The Features of bone destruction in rabbits with experimental metabolic syndrome , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- P. Ananthi, A. Chandrabose, The socio-technical opportunities and threats of crowdsensing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Ramalakshmi V, Prioritizing the factors affecting employee relations and its influence on job performance , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Abbasova Sona Jamal, Aliyev Sabit Shakir, Mahmudov Elmir Heydar, Museyibli Emin Bakir, Nadirkhanova Dilshat Adalat, Econometric analysis of grain yields (using the example of the Republic of Azerbaijan) , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- M. Balamurugan, A. Bharathiraja, An enhanced hybrid GCNN-MHA-GRU approach for symptom-to-medicine recommendation by utilizing textual analysis of customer reviews , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- A. Jafar Ali, G. Ravi, D.I. George Amalarethinam, AI-Integrated Swarm-Powered Self-Scheduling Routing for Heterogeneous Wireless Sensor Networks to Maximize Network Lifetime , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
You may also start an advanced similarity search for this article.

