ISSN2320-2882
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Paper Title

Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction

Authors

Venkata Krishna Reddy Kovvuri , Venkata Nagendra Kumar Kundavaram

Keywords

Last-Mile Delivery, Cloud Computing, Multi-Objective Optimization, Serverless Analytics, Cost Optimization, Environmental Sustainability, Customer Satisfaction, Real-Time Data

Abstract

In this paper, the realization of last-mile delivery systems using cloud-enabled multi-objective optimization is discussed. It concentrates more on the cost-effectiveness, environmental sustainability and customer satisfaction through serverless analytics and cloud computing technology. The paper looks at how real time information processing, developing better optimization models and codifying more scalable solutions can better deliver operations. With the use of cloud platforms, businesses have the opportunities to reduce emissions, enhance the quality of service, optimize routes of services, thus contributing to the sustainable and efficient logistics. This study gives a guideline on which further progress can be made in the optimization of last-mile delivery.

How To Cite

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IJCRT — journal style
"Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.11, Issue 2, page no.f614-f621, February 2023, Available :https://ijcrt.org/papers/IJCRT2302698.pdf
APA — 7th edition
Kovvuri, V. K. R., & Kundavaram, V. N. K. (2023). Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction. International Journal of Creative Research Thoughts, 11(2), f614-f621. https://doi.org/10.56975/ijcrt.v11i2.293568
MLA — 9th edition
Kovvuri, Venkata Krishna Reddy, and Venkata Nagendra Kumar Kundavaram. "Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction." International Journal of Creative Research Thoughts, vol. 11, no. 2, 2023, pp. f614-f621, https://doi.org/10.56975/ijcrt.v11i2.293568.
Chicago — 17th, bibliography
Kovvuri, Venkata Krishna Reddy, and Venkata Nagendra Kumar Kundavaram. "Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction." International Journal of Creative Research Thoughts 11, no. 2 (2023): f614-f621. https://doi.org/10.56975/ijcrt.v11i2.293568.
Harvard — author–date
Kovvuri, V.K.R. and Kundavaram, V.N.K. (2023) 'Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction', International Journal of Creative Research Thoughts, 11(2), pp. f614-f621. Available at: https://doi.org/10.56975/ijcrt.v11i2.293568
IEEE — numbered reference
V. K. R. Kovvuri and V. N. K. Kundavaram, "Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction," IJCRT, vol. 11, no. 2, pp. f614-f621, Feb. 2023, doi: 10.56975/ijcrt.v11i2.293568.
Vancouver — biomedical
Kovvuri VKR, Kundavaram VNK. Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction. IJCRT. 2023 Feb;11(2):f614-f621. doi: 10.56975/ijcrt.v11i2.293568
AMA — 11th edition
Kovvuri VKR, Kundavaram VNK. Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction. IJCRT. 2023;11(2):f614-f621. doi:10.56975/ijcrt.v11i2.293568
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2302698, author = {Venkata Krishna Reddy Kovvuri and Venkata Nagendra Kumar Kundavaram}, title = {Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction}, journal = {International Journal of Creative Research Thoughts}, volume = {11}, number = {2}, pages = {f614-f621}, year = {2023}, month = {February}, issn = {2320-2882}, doi = {10.56975/ijcrt.v11i2.293568}, url = {https://doi.org/10.56975/ijcrt.v11i2.293568} }
RIS — EndNote, RefWorks
TY - JOUR AU - Kovvuri, Venkata Krishna Reddy AU - Kundavaram, Venkata Nagendra Kumar TI - Serverless Analytics for Multi-Objective Optimization in Last-Mile Delivery: Balancing Cost, Environmental Impact, and Customer Satisfaction T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 11 IS - 2 PY - 2023 SN - 2320-2882 DO - 10.56975/ijcrt.v11i2.293568 UR - https://doi.org/10.56975/ijcrt.v11i2.293568 SP - f614-f621 ER -

Issue

Volume 11 Issue 2, February-2023
Pages : f614-f621

Article Information

Pages
f614-f621
Published
February 2023
Registration ID
IJCRT_293568
Published Paper ID
IJCRT2302698
Research Area
Science and Technology
Author Type
Indian Author
Location
hyd, hyd, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
602
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About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2023 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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