• Geetanjali Sharma Banasthali Vidyapith, Rajasthan, India-304022
  • Jai Deep Pandey Banasthali Vidyapith, Rajasthan, India-304022 https://orcid.org/0000-0002-9953-199X




M|M|1 model, M|M|C model, Supply chain, B2C e-commerce


With the emerging technology of electronic commerce, most of the business companies positively tend to offer services to their clients dealing in B2C e-commerce. We pro- posed four models for business to consumer (B2C) with supply chain management. First two models are M |M |1 with and without server breakdown and other models are M |M |C with and without server breakdown.  During service when the server breakdown, the re- pairing process of the server begins immediately. During repair period the server serves the customer   with slow rate   and   service period follows exponential   distribution.  Then numerical results are also illustrated various system performances are calculated


Download data is not yet available.


Al-Dwairi, R. M. and Kamala, M. A. (2009). An integrated trust model for business-to- consumer (b2c) e-commerce : Integrating trust with the technology acceptance model. En 2009 International Conference on Cyber Worlds, pages 351-356. IEEE. Retrieved from https://doi.org/10.1109/CW.2009.34 DOI: https://doi.org/10.1109/CW.2009.34

Bi, X. Q. and Liu, C. (2018). E-commerce distribution network optimization research based on b2c.

Feng, X. (2017). Research on the strategic transformation of vertical b2c e-commerce industry. En 2017 4th International Conference on Education, Management and Com- puting Technology (ICEMCT 2017). Atlantis Press. Retrieved from https://doi.org/10.2991/icemct-17.2017.227 DOI: https://doi.org/10.2991/icemct-17.2017.227

Giannikas, V., Woodall, P., McFarlane, D., and Lu, W. (2017). The impact of b2c com- merce on traditional b2b warehousing. In 22nd International Symposium on Logistics : Data Driven Supply Chains, pages 375-383. Nottingham University Business School. Retrieved from https://www.researchgate.net/profile/Vaggelis-Giannikas/publication/321315173_The_impact_of_B2C_commerce_on_traditional_B2B_warehousing/links/5a1c20f3aca272df080f602d/The-impact-of-B2C-commerce-on-traditional-B2B-warehousing.pdf

Hurtado, P. A., Dorneles, C., and Frazzon, E. (2019). Big data application for e-commerce's logistics : A research assessment and conceptual model. IFAC- Papers OnLine, 52(13) :838-843. Retrieved from https://doi.org/10.1016/j.ifacol.2019.11.234 DOI: https://doi.org/10.1016/j.ifacol.2019.11.234

Kim, D. J., Ferrin, D. L., and Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce : The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2) :544-564. Retrieved from https://doi.org/10.1016/j.dss.2007.07.001 DOI: https://doi.org/10.1016/j.dss.2007.07.001

Srivastava, R. (2012). Mathematical model using bi for improving e-commerce businesses applicability's. The International Research Journal of IT and Science Management (IRJITSM). Retrieved from https://www.researchgate.net/profile/Rashad-Al-Saed/publication/312595851_Mathematical_model_using_BI_for_improving_E-Commerce_Businesses_applicability's/links/5e7df9d692851caef4a2d9fc/Mathematical-model-using-BI-for-improving-E-Commerce-Businesses-applicabilitys.pdf

Srivastava, R. (2013). Evaluation of response time using gang scheduling algorithm for b2c electronic commerce architecture implemented in cloud computing environment by queuing models. International Journal of Future Computer and Communication, 2(2) :71. Retrieved from https://doi.org/10.7763/IJFCC.2013.V2.124 DOI: https://doi.org/10.7763/IJFCC.2013.V2.124

Sun, J., Ke, Q., and Cheng, Y. (2007). Study of consumer acceptance in e-commerce by integrating technology acceptance model with task-technology fit model. En 2007 International Conference on Wireless Communications, Networking and Mobile Computing, pages 3621-3624. IEEE. Retrieved from https://doi.org/10.1109/WICOM.2007.895 DOI: https://doi.org/10.1109/WICOM.2007.895

Ta, H., Esper, T., and Hofer, A. R. (2015). Business-to-consumer (b2c) collaboration : Rethinking the role of consumers in supply chain management. Journal of business logistics, 36(1) : 133-134. Retrieved from https://doi.org/10.1111/jbl.12083 DOI: https://doi.org/10.1111/jbl.12083

Van Slyke, C., Belanger, F., and Comunale, C. L. (2004). Factors influencing the adoption of web-based shopping : the impact of trust. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 35(2): 32-49. Retrieved from https://doi.org/10.1145/1007965.1007969 DOI: https://doi.org/10.1145/1007965.1007969

Yu, Y., Wang, X., Zhong, R., and Huang, G. Q. (2016). E-commerce logistics in supply chain management : Practice perspective. Procedia Cirp. Retrieved from https://doi.org/10.1016/j.procir.2016.08.002 DOI: https://doi.org/10.1016/j.procir.2016.08.002

Zhu, Y. (2015). The comparative analysis of c2b and b2c. International Journal of Marketing Studies, 7(5) : 157 Retrieved from https://doi.org/10.5539/ijms.v7n5p157 DOI: https://doi.org/10.5539/ijms.v7n5p157




How to Cite

Sharma, G., & Pandey, J. D. (2022). A COMPARATIVE STUDY OF M|M|1 and M|M|C MODELS FOR B2C WITH SUPPLY CHAIN PROCESS. International Journal of Engineering Technologies and Management Research, 9(2), 1–14. https://doi.org/10.29121/ijetmr.v9.i2.2022.1098