Teacher Details

Raosaheb Vikram Latpate

Department of Statistics

rvl@unipune.ac.in


1)    Kurade, S., Latpate, R., Gedam, V. (2025). Multi-objective mixed mode sugarcane transportation model using fuzzy NSGA. OPSEARCH, 62, 149-177. ISSN(print/online): 0030-3887/0975-0320, URL/DOI: http://dx.doi.org/10.1007/s12597-024-00800-1
2)    Unmesh, P.S., Murlidhar, B.V., Latpate, R.V. (2025). A Comparative Study of Pharmacological, Nonpharmacological, and Combined Methods of Induction of Labor. European Journal of Clinical and Experimental Medicine, 23 (1), 163-172. ISSN(print/online): 2544-1361, URL/DOI: http://dx.doi.org/10.15584/ejcem.2025.1.26
3)    Latpate, R., Bhosale, M., Kurade, S. (2024). Green Reverse Supply Chain Models with Fuzzy Stochastic Re-manufacturing Capacity. International Journal of Fuzzy Systems, 26 (2), 403-417. ISSN(print/online): 1562-2479/2199-3211, URL/DOI: http://dx.doi.org/10.1007/s40815-023-01595-x
4)    Bhoyar, S.S., Chaudhari, A.U., Desai, M.A., Latpate, R.V., Sartale, S.D., Kodam, K.M. (2024). Wheat bran as an efficient agro-process waste for enhanced yellow laccase production by Lentinus tigrinus SSB_W2 and its application in anthraquinone dye degradation. 3 Biotech, 14 (1), 33. ISSN(print/online): 2190-572X/2190-5738, URL/DOI: http://dx.doi.org/10.1007/s13205-023-03881-9
5)    Gadre, M.P., Venegurkar, S.S., R.V. Latpate (2024). Improved Synthetic and Improved Group Runs Control Charts to Detect Shifts in the Process Mean. IAPQR Transactions, 49 (1), 79-99. ISSN(print/online): 0970-0102, URL/DOI: http://dx.doi.org/10.32381/IAPQRT.2025.49.01.5
6)    Latpate, R., Bhosale, M., Kurade, S. (2023). Cold supply chain inventory models for agricultural products with multi-stage stochastic deterioration rates. Journal of Management Analytics, 10 (3), 516-549. ISSN(print/online): 2327-0012/2327-0039, URL/DOI: http://dx.doi.org/10.1080/23270012.2023.2229312
7)    Latpate, R.V., Bhosale, M.R., Hanagal, D.D. (2023). Inventory Model for Perishable Items with Age Dependent Demand. International Journal of Statistics and Reliability Engineering, 10 (1), 26-32. ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/inventory-model-for-perishable-items-with-age-dependent-demand
8)    Chandra, G., Tamta, B.P., Mohanty, M., Pandey, A.P., Latpate, R. (2023). Population and Production of Seed of Buchanania lanzan Spreng in Dhenkanal Forest Division of Odisha, India. Indian Forester, 149 (11), ISSN(print/online): 0019-4816, URL/DOI: http://dx.doi.org/10.36808/if/2023/v149i11/169896
9)    Latpate, R., Kurade, S.S. (2022). Multi-Objective Multi-Index Transportation Model for Crude Oil Using Fuzzy NSGA-II. IEEE Transactions on Intelligent Transportation Systems, 23 (2), 1347-1356. Google Scholar Citations, ISSN(print/online): 1524-9050 /1558-0016 , URL/DOI: http://dx.doi.org/10.1109/TITS.2020.3024693
10)    Aghaei, M., Kulkarni, S.D., Jaybhaye, R., Latpate, R. (2022). Analytical Study on Salinity of Pre and Post Monsoon Ground Water from Daund - Pune District. International Journal of Research Publication and Reviews, 3 (8), 1749-1754. ISSN(print/online): 2582-7421, URL/DOI: https://ijrpr.com/uploads/V3ISSUE8/IJRPR6626.pdf
11)    Kurade, S.S., Latpate, R. (2021). Demand and deterioration of items per unit time inventory models with shortages using genetic algorithm. Journal of Management Analytics, 8 (3), 502-529. ISSN(print/online): 2327-0012/2327-0039, URL/DOI: http://dx.doi.org/10.1080/23270012.2020.1829113
12)    Jawale, J.P., Nandre, V.S., Latpate, R.V., Kulkarni, M.V., Doshi, P.J. (2021). Isolation, characterization and optimizations of laccase producer from soil: A comprehensive study of application of statistical approach to enhance laccase productivity in Myrothecium verrucaria NFCCI 4363. Bioresource Technology Reports, 15, 100751. ISSN(print/online): 2589-014X, URL/DOI: http://dx.doi.org/10.1016/j.biteb.2021.100751
13)    Bhosale, M.R., Latpate, R.V. (2021). Single stage fuzzy supply chain model with Weibull distributed demand for milk commodities. Granular Computing, 6 (0), 255-266. Google Scholar Citations, ISSN(print/online): 2364-4966/2364-4974, URL/DOI: http://dx.doi.org/10.1007/s41066-019-00186-2
14)    Latpate, R.V., Kshirsagar, J.K. (2020). Two Stage Inverse Adaptive Cluster Sampling With Stopping Rule Depends upon the Size of Cluster. Sankhya B: The Indian Journal of Statistics, 82 (1), 70-83. ISSN(print/online): 0976-8386/0976-8394, URL/DOI: http://dx.doi.org/10.1007/s13571-018-0177-y
15)    Latpate, R.V., Thorve, B.K. (2020). Replacement Policy for Cold Standby Repairable System with Priority in Use by Using Arithmetico-Geometric Process. International Journal of Reliability, Quality and Safety Engineering, 27 (3), 2050009. ISSN(print/online): 0218-5393/1793-6446, URL/DOI: http://dx.doi.org/10.1142/S0218539320500096
16)    Latpate, R.V., Bhosale, M.R. (2020). Single cycle supply chain coordination model for fuzzy stochastic demand of perishable items. Iranian Journal of Fuzzy Systems, 17 (2), 39-48. ISSN(print/online): 1735-0654/2676-4334, URL/DOI: http://dx.doi.org/10.22111/ijfs.2020.5218
17)    Latpate, R.V., Kshirsagar, J.K. (2020). Two-Stage Negative Adaptive Cluster Sampling. Communications in Mathematics and Statistics, 8 (1), 1-21. Google Scholar Citations, ISSN(print/online): 2194-6701/2194-671X, URL/DOI: http://dx.doi.org/10.1007/s40304-018-0151-z
18)    Latpate, R.V., Thorve, B.K., Hanagal, D.D. (2020). On Use of Arithmetico-Geometric Process for Performance Analysis of a Cold-Standby System under Repair Replacement Policy. International Journal of Statistics and Reliability Engineering, 6 (2), 101-110. ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/on-use-of-arithmetico-geometric-process-for-performance-analysis-of-a-cold-standby-system-under-repair-replacement-policy
19)    Latpate, R.V., Kshirsagar, J.K. (2019). Negative adaptive cluster sampling. Model Assisted Statistics and Applications, 14 (1), 65-81. ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-180452
20)    Latpate, R.V. (2019). Ratio Type HT Estimators for Negative Adaptive Cluster Double Sampling. Statistics and Applications, 17 (2), 11-21. ISSN(print/online): 2454-7395, URL/DOI: https://www.ssca.org.in/media/3_17_2_2019_SA_Latpate.pdf
21)    Latpate, R., Kshirsagar, J.K., Narkhede, V. (2019). Logarithmic Product Type HT Estimator for Adaptive Cluster Sampling With Negatively Correlated Auxiliary Variable. Aligarh Journal of Statistics, 39, 119-130. ISSN(print/online): 0971-0388, URL/DOI: https://aligarhjournalstatistics.com/issues/03-AJS-V-39-2019/7.Raosaheb_latpate-18-AJS.pdf
22)    Latpate, R.V., Thorve, B.K., Hanagal, D.D. (2018). Analytical Comparison of An Optimal Replacement Policy for Cold Standby with Priority in Use When Failure and Repair Rates are Uncertain. Journal of the Indian Society for Probability and Statistics, 19 (2), 379-415. Google Scholar Citations, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-018-0050-3
23)    Latpate, R.V. (2018). Estimation of Sample Size for Adaptive Cluster Sampling. Bulletin of the Marathwada Mathematical Society, ISSN(print/online): 0976-6049.
24)    Latpate, R.V. (2018). Analytical comparison of optimal replacement policies for uncertain parameters. International Journal of Reliability and Applications, 19 (1), 1-25. ISSN(print/online): 1598-0073, URL/DOI: https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE07721014
25)    Latpate, R.V., Kshirsagar, J.K. (2018). Negative Adaptive Cluster Double Sampling. Statistics and Applications, 16 (2), 115-131. ISSN(print/online): 2454-7395, URL/DOI: https://www.ssca.org.in/media/9_2018_162_RaoSaheb_Latpate_G4Uu76V.pdf
26)    Latpate, R.V. (2018). Sample Size Consideration in Adaptive Cluster Sampling. Bulletin of the Marathwada Mathematical Society, ISSN(print/online): 0976-6049.
27)    Latpate, R.V., Kurade, S.S. (2017). Fuzzy MOGA for supply chain models with Pareto decision space at different α-cuts. International Journal of Advanced Manufacturing Technology, 91 (9-12), 3861-3876. ISSN(print/online): 0268-3768/1433-3015, URL/DOI: http://dx.doi.org/10.1007/s00170-016-9966-5
28)    Velhal, S.G., Kulkarni, S.D., Latpate, R.V. (2016). Fungal mediated silver nanoparticle synthesis using robust experimental design and its application in cotton fabric. International Nano Letters, 6 (4), 257-264. Google Scholar Citations, ISSN(print/online): 2228-5326, URL/DOI: http://dx.doi.org/10.1007/s40089-016-0192-9
29)    Velhal, S.G., Latpate, R.V., Kulkarni, S.D., Jaybhaye, R.G. (2015). Taguchi Design for Parameter Optimization of Size-Controlled Synthesis of Silver Nanoparticles. International Journal of Emerging Technologies in Computational and Applied Sciences, 12 (2), 144-149. Google Scholar Citations, ISSN(print/online): 2279-0047/2279-0055, URL/DOI: http://iasir.net/IJETCASpapers/IJETCAS15-352.pdf
30)    Latpate, R.V. (2015). Fuzzy Modified TOPSIS for Supplier Selection Problem in Supply Chain Management. International Journal of Innovative Research in Computer Science and Technology, 3 (4), 22-28. Google Scholar Citations, ISSN(print/online): 2347-5552, URL/DOI: http://www.ijircst.org/DOC/4_IRP401afd88def-4e5a-4cc0-90fd-f5cd91f9d9be.pdf
31)    Latpate, R.V. (2014). Fuzzy Multi-Objective Supplier Selection Problem for Multiple Items in a Supply Chain. International Journal of Innovative Research in Computer Science and Technology, 2 (5), 1-8. ISSN(print/online): 2347-5552, URL/DOI: http://www.ijircst.org/DOC/16165d0ec-7ea5-4371-9bcc-010abc78228b.pdf
32)    Latpate, R.V., Bajaj, V.H. (2011). Fuzzy Programming for Multi-objective Transportation and Inventory Management Problem with Retailer Storage. International Journal of Agricultural and Statistical Sciences, 7 (1), 317-326. ISSN(print/online): 0973-1903/0976-3392.