Understanding Reliability indices of a Seabin for Automated Water Cleaning through Markov State based Modelling

Authors

  • Pardeep Kumar Lovely Professional University, Punjab, India
  • Amit Kumar Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, India
  • Shagun Sharma Lovely Professional University, Punjab, India

DOI:

https://doi.org/10.13052/jrss0974-8024.18110

Keywords:

Seabin, Markov modeling, Reliability analysis, MTTF, Sensitivity analysis

Abstract

The presented work explores the performance analysis of a Seabin, which is used for automated water cleaning, through Markov decision process and mathematical modelling. With the rapid increase in waste disposal into water bodies, the need for automated systems to maintain cleanliness without human intervention becomes essential. Seabin, installed at various locations, rely on the proper working of critical components, including the catch bag, pump, outer shell, filter, and power source. This paper develops a state-based mathematical model to evaluate the key parameters such as component wise reliability, mean time to first failure (MTTF) and sensitivity analysis for system’s MTTF. Performing sensitivity analysis recognizes the behaviors of different components failure on the overall performance of the system. Finally, on the basis of obtained results author provide valuable recommendations to enhance the efficiency and reliability of the Seabin.

Downloads

Download data is not yet available.

Author Biographies

Pardeep Kumar, Lovely Professional University, Punjab, India

Pardeep Kumar is currently working as an Assistant Professor in the Department of Mathematics at Lovely Professional University, Punjab, India. He holds a Doctorate in Philosophy with a specialization in Reliability theory. His research interests include system reliability analysis, multistate systems, Markov Modeling, and applied mathematics in engineering systems. He has published several research papers in reputed journals and has contributed significantly to the field through his work on modelling and analysing the performance of different complex systems using probabilistic and statistical techniques.

Amit Kumar, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, India

Amit Kumar is working as an Assistant Professor in the department of Applied Sciences at Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India. He has been taught several core courses in pure and applied mathematics at undergraduate and postgraduate levels. He has done his Bachelors and Master’s form Choudhary Charan Singh University Meerut, India, in 2006 and 2009 respectively. In 2016 he completed his Doctorate in applied mathematics in the field of Reliability theory. He published 65+ research papers/Book chapters in various esteemed international journals/Books including Taylor & Francis, Elsevier, Springer, Emerald, World Scientific, Inder Science and many other international journals of repute and also presented his works at national and international conferences. He is a reviewer of many international journals including Elsevier, Springer, Emerald, John Wiley, Taylor & Francis and many other publishers. His fields of research are Operations Research, Reliability theory, Fuzzy Reliability, and System Engineering.

Shagun Sharma, Lovely Professional University, Punjab, India

Shagun Sharma is a B.Tech. student in Computer Science and Engineering at Lovely Professional University, Punjab, India. He has a strong foundation in data structures, algorithms, and full-stack development, with hands-on experience in building MERN stack applications. He is passionate about research and development, with a focus on leveraging technology for real-world problem solving. He has contributed to projects ranging from cultural heritage platforms to automated appraisal systems for faculty advancement. Shagun continues to explore areas such as reliability theory, artificial intelligence, IoT, and sustainable tech solutions through academic research and practical implementations.

References

Parker-Jurd, F. N., Smith, N. S., Gibson, L., Nuojua, S., and Thompson, R. C. (2022). Evaluating the performance of the ‘Seabin’–A fixed point mechanical litter removal device for sheltered waters. Marine Pollution Bulletin, 184, 114199.

Wang, X., Li, C., Liu, K., Zhu, L., Song, Z., and Li, D. (2020). Atmospheric microplastic over the South China Sea and East Indian Ocean: abundance, distribution and source. Journal of hazardous materials, 389, 121846.

Kandare, D. N., Kalel, A. N., Jamdade, A. S., and Jawale, G. P. (2018). Design & construction of river cleaning mechanism. International Journal of Innovative Science and Research Technology, 3(11), 428–432.

Hundekar, S., and Ahmed, Z. (2019). A study report on Clean Ganga Mission under Swachh Bharat Abhiyaan. Journal of Emerging Technologies and Innovative Research (JETIR), 6(6). 97–101.

Gupta, N., Kumari, K., Arshad, M.N., Mishra, A., and Kumar, A.(2023). IoT based automated floating water waste collector by seabin mechanism, International Journal of Novel Research And Development, 8(5), 887–892.

Qureshi, N., Yadav, A., Sharma, A., and Delvi, A.(2014). Seabin, International Journal of Emerging Technologies and Innovative Research, 9(4), 702–706.

Gulati, L., Kumar, A., Sengar, K., Kumar, R. R., Arora, K., Chauhan, N., and Verma, Y. K. (2022). Methodology for designing and fabricating a novel SEABIN used in the marine industries. In 10th International Conference on Advancements in Engineering and Technology (ICAET-2022), Sangrur, Punjab, India.

Mukhtar, M. F., Rosley, M. I. F., Lubis, A. M. H. S., Tamaldin, N., Hussin, M. S. F., Damanhuri, A. A. M., Azlan, K. A., Hanizat, N. H. (2020). Development of river trash collector system. In Journal of Physics: Conference Series (Vol. 1529, No. 4, p. 042029). IOP Publishing.

Kulkarni, K., Anand, and Prabhushetty, V. (2021). Seabin: A floating bin for collecting pollutants floating on surface of water. International Research Journal of Modernization in Engineering, Technology and Science, 3(8), 121–123.

Yunianto, A. H., Prayetno, E., Susanto, F. I., and Suhendra, T. (2021, November). Smart system using programmable logic controller for Seabin prototype. In IOP Conference Series: Earth and Environmental Science (Vol. 926, No. 1, p. 012063). IOP Publishing.

Ma, Z., Gao, M., and Zhai, G. (2023). Numerical study on the capture capacity of coastal Seabin-type debris collection devices under regular waves. Ocean Engineering, 267, 113111.

Vigneswaran, C., Afifah Z. M., Keerthana, J., Harish K. R., and Hariharan, R. (2022). Design and development of river water trash collector for a sustainable environment. In Materials, Design and Manufacturing for Sustainable Environment: Select Proceedings of ICMDMSE 2022 (pp. 589–600). Singapore: Springer Nature Singapore.

Shaw, S. K., Paul, S., Mitra, B. R., Dhar, P., Pal, K., and Banerjee, A. Design of low-cost Seabin for efficient marine debris collection, Sirjana Jounal, 54(3), 83–86.

Tan, X., Wang, H. M. D., Zang, D., Wu, L., Liu, F., Cao, G., Hu, Y., Ho, S. H. (2021). Superhydrophobic/superoleophilic corn straw as an eco-friendly oil sorbent for the removal of spilled oil. Clean Technologies and Environmental Policy, 23, 145–152.

Winterstetter, A., Grodent, M., Kini, V., Ragaert, K., and Vrancken, K. C. (2021). A review of technological solutions to prevent or reduce marine plastic litter in developing countries. Sustainability, 13(9), 4894.

Srinath, L. S. (1991). Reliability engineering. New Delhi, Delhi: Affiliated East-West Press.

Opyrchał, L. (2021). Is mean time to failure (MTTF) equal to mean time of life for unrepairable systems? Journal of KONBiN, 51(1), 255–264.

Ram, M., and Manglik, M. (2016). Stochastic biometric system modelling with rework strategy. International Journal of Mathematical, Engineering and Management Sciences, 1(1), 1–17.

Kumar, A., and Ram, M. (2018). System reliability analysis based on Weibull distribution and hesitant fuzzy set. International Journal of Mathematical, Engineering and Management Sciences, 1(1), 513–521.

Kumar, A., and Ram, M. (2019). Computation interval-valued reliability of sliding window system. International Journal of Mathematical, Engineering and Management Sciences, 4(1), 108–115.

Kumar, P., Kumar, A., and Chhetri, G. (2024). Reliability centered modeling of an automated waste sorting robotic arm system. International Journal of Mathematical, Engineering & Management Sciences, 9(5), 1210–1225.

Ram, M., Kumar, A. (2014). Performance of a structure consisting a 2-out-of-3: F substructure under human failure. Arabian Journal for Science and Engineering, 39(11), 8383–8394.

Kumar, P., and Kumar, A. (2023). Time dependent performance analysis of a Smart Trash bin using state-based Markov model and Reliability approach. Cleaner Logistics and Supply Chain, 9, 100122.

Ram, M., Singh, S. B., Singh, V. V. (2013). “Stochastic analysis of a standby system with waiting repair strategy,” IEEE Transactions on Systems Man & Cybernetics: Systems, 43(3), 698–707.

Jadhav, S., and Kumar, A. (2025). Feeding system’s sensitivity and reliability analysis through Markov decision process. International Journal of Mathematical, Engineering and Management Sciences, 10(2), 567–582.

Downloads

Published

2025-06-17

How to Cite

Kumar, P. ., Kumar, A. ., & Sharma, S. . (2025). Understanding Reliability indices of a Seabin for Automated Water Cleaning through Markov State based Modelling. Journal of Reliability and Statistical Studies, 18(01), 243–270. https://doi.org/10.13052/jrss0974-8024.18110

Issue

2025: Vol 18 Iss 1

Section

Articles