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
- R. Sudha, B Indira, M Kalidas, Kalluri Rama Krishna, M. Jithender Reddy, G.N.R. Prasad, E-commerce in the B2B market: solutions for the point of sale , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- S. Udhaya Priya, M. Parveen, ETPPDMRL: A novel approach for prescriptive analytics of customer reviews via enhanced text parsing and reinforcement learning , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Lakshmi Priya, Anil Vasoya, C. Boopathi, Muthukumar Marappan, Evaluating dynamics, security, and performance metrics for smart manufacturing , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Roshni Kanth, R Guru, Anusuya M A, Madhu B K, A comprehensive study of AI in test case generation: Analysing industry trends and developing a predictive model , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Sweta Jain, Jacob Joseph Kalapurackal, Green Innovation, Pressure, Green Training, and Green Manufacturing: Empirical evidence from the Indian apparel export industry , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Abhishek Pandey, V Ramesh, Puneet Mittal, Suruthi, Muniyandy Elangovan, G.Deepa, Exploring advancements in deep learning for natural language processing tasks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- T. Malathi, T. Dheepak, Enhanced regression method for weather forecasting , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Rita Ganguly, Dharmpal Singh, Rajesh Bose, The next frontier of explainable artificial intelligence (XAI) in healthcare services: A study on PIMA diabetes dataset , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Suman Kumar Saurabh, Prashant Kumar, Per Recruit Models for Stock Assessment and Management of Carp Fishes in the Pattipul Stream, Sheetalpur, Saran (Bihar) , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- M. Iniyan, A. Banumathi, Brower blowfish nash secured stochastic neural network based disease diagnosis for medical WBAN in cloud environment , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

