A Taxonomy on Sales based model in AI System for resource management and scheduling
Keywords:
Artificial Intelligence, Machine Learning, Heuristic Methods, Optimization Strategies, Demand Forecasting, Inventory Management, Performance Metrics, AccuracyAbstract
The integration of Artificial Intelligence (AI) into sales-based models for resource management and scheduling represents a significant advancement in optimizing business operations. This paper proposes a comprehensive taxonomy that categorizes the various AI-driven approaches utilized in this domain, aiming to provide a structured understanding of the current landscape, highlight key features, and identify gaps for future research. Taxonomy is constructed based on three primary dimensions: AI techniques, application areas, and performance metrics. AI techniques include machine learning algorithms, heuristic methods, and optimization strategies. Application areas encompass demand forecasting, inventory management, workforce scheduling, and customer relationship management. Performance metrics focus on accuracy, efficiency, scalability, and adaptability. This taxonomy reveals that while significant advancements have been made in leveraging AI for sales-based resource management and scheduling, challenges such as integrating diverse data sources, ensuring real-time adaptability, and maintaining transparency in AI decision-making processes remain. Future research directions include the development of hybrid models that combine multiple AI techniques, enhancing interpretability and explainability of AI systems, and exploring the ethical implications of AI in business operations. The proposed taxonomy serves as a foundational framework for researchers and practitioners to understand, evaluate, and innovate AI-driven solutions in sales-based resource management and scheduling, ultimately contributing to the advancement of more intelligent, efficient, and adaptive business operations.
References
Liang, W.; Tadesse, G.A.; Ho, D.; Fei-Fei, L.; Zaharia, M.; Zhang, C.; Zou, J. Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 2022, 4, 669–677.
Kumar, S. Reviewing Software Testing Models and Optimization Techniques: An Analysis of Efficiency and Advancement Needs. J. Comput. Mech. Manag. 2023, 2, 43–55.
Dora Pravina, C.T.; Buradkar, M.U.; Jamal, M.K.; Tiwari, A.; Mamodiya, U.; Goyal, D. A Sustainable and Secure Cloud resource provisioning system in Industrial Internet of Things (IIoT) based on Image Encryption. In Proceedings of the 4th International Conference on Information Management & Machine Intelligence, Jaipur, India, 23–24 December 2022; pp. 1–5.
Ravula, A.K.; Ahmad, S.S.; Singh, A.K.; Sweeti, S.; Kaur, A.; Kumar, S. Multi-level collaborative framework decryption-based computing systems. AIP Conf. Proc. 2023, 2782, 020131.
Raji, I.D.; Kumar, I.E.; Horowitz, A.; Selbst, A. The fallacy of AI functionality. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, 21–24 June 2022; pp. 959–972.
Kamble, S.; Saini, D.K.J.; Kumar, V.; Gautam, A.K.; Verma, S.; Tiwari, A.; Goyal, D. Detection and tracking of moving cloud services from video using saliency map model. J. Discret. Math. Sci. Cryptogr. 2022, 25, 1083–1092.
Chowdhury, S.; Dey, P.; Joel-Edgar, S.; Bhattacharya, S.; Rodriguez-Espindola, O.; Abadie, A.; Truong, L. Unlocking the value of artificial intelligence in human resource management through AI capability framework. Hum. Resour. Manag. Rev. 2023, 33, 100899.
Tiwari, A.; Garg, R. Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World. Int. J. Softw. Innov. (IJSI) 2022, 10, 1–28.
Li, X.; Ye, P.; Li, J.; Liu, Z.; Cao, L.; Wang, F.Y. From features engineering to scenarios engineering for trustworthy AI: I&I, C&C, and V&V. IEEE Intell. Syst. 2022, 37, 18–26.
Qadir, J. Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In Proceedings of the 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait, Kuwait, 1–4 May 2023; pp. 1–9.
Liu, K.; Wei, Z.; Zhang, C.; Shang, Y.; Teodorescu, R.; Han, Q.L. Towards long lifetime battery: AI-based manufacturing and management. IEEE/CAA J. Autom. Sin. 2022, 9, 1139–1165.
Debrah, C.; Chan, A.P.; Darko, A. Artificial intelligence in green building. Autom. Constr. 2022, 137, 104192.
Subrahmanyam, V.; Kumar, S.; Srivastava, S.; Bist, A.S.; Sah, B.; Pani, N.K.; Bhambu, P. Optimizing horizontal scalability in cloud computing using simulated annealing for Internet of Things. Meas. Sens. 2023, 28, 100829.
Manikandan, R.; Maurya, R.K.; Rasheed, T.; Bose, S.C.; Arias-Gonzáles, J.L.; Mamodiya, U.; Tiwari, A. Adaptive cloud orchestration resource selection using rough set theory. J. Interdiscip. Math. 2023, 26, 311–320.
Tiwari, A.; Kumar, S.; Baishwar, N.; Vishwakarma, S K.; Singh, P. Efficient Cloud Orchestration Services in Computing. In Proceedings of the 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication, 2022; pp. 739–746.
Kumar Sharma, A.; Tiwari, A.; Bohra, B.; Khan, S. A Vision towards Optimization of Ontological Datacenters Computing World. Int. J. Inf. Syst. Manag. Sci. 2018, 1.
Tiwari, A.; Sharma, R.M. Rendering Form Ontology Methodology for IoT Services in Cloud Computing. Int. J. Adv. Stud. Sci. Res. 2018, 3.
Rohinidevi, V.V.; Srivastava, P.K.; Dubey, N.; Tiwari, S.; Tiwari, A. A Taxonomy towards fog computing Resource Allocation. In Proceedings of the 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), Dehradun, India, 23–24 December 2022; pp. 1–5.
Singh, N.K.; Jain, A.; Arya, S.; Gonzales, W.E.G.; Flores, J.E.A.; Tiwari, A. Attack Detection Taxonomy System in cloud services. In 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), Dehradun, India, 23–24 December 2022; pp. 1–5.
Rangaiah, Y.V.; Sharma, A.K.; Bhargavi, T.; Chopra, M.; Mahapatra, C.; Tiwari, A. A Taxonomy towards Blockchain based Multimedia content Security. In 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), Dehradun, India, 23–24 December 2022; pp. 1–4.
Srivastava, P. K., Kumar, S., Tiwari, A., Goyal, D., & Mamodiya, U. (2023, June). Internet of thing uses in materialistic ameliorate farming through AI. In AIP Conference Proceedings (Vol. 2782, No. 1). AIP Publishing.
Ravula, A. K., Ahmad, S. S., Singh, A. K., Sweeti, S., Kaur, A., & Kumar, S. (2023, June). Multi-level collaborative framework decryption-based computing systems. In AIP Conference Proceedings (Vol. 2782, No. 1). AIP Publishing.
Koppaiyan, R. S., Pallivalappil, A. S., Singh, P., Tabassum, H., Tewari, P., Sweeti, M., & Kumar, S. (2022, December). High-Availability Encryption-Based Cloud Resource Provisioning System. In Proceedings of the 4th International Conference on Information Management & Machine Intelligence (pp. 1-6).
Kamble, S., Saini, D. K. J., Kumar, V., Gautam, A. K., Verma, S., Tiwari, A., & Goyal, D. (2022). Detection and tracking of moving cloud services from video using saliency map model. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1083-1092.
Kumar, S., Kumari, B., & Chawla, H. (2018, October). Security challenges and application for underwater wireless sensor network. In Proceedings on International Conference on Emerg (Vol. 2, pp. 15-21).
Tiwari, Ashish, and Ritu Garg. "Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism." International Journal of Cloud Applications and Computing (IJCAC) 12, no. 1 (2022): 1-22.
Kumar, S., Kumar, S., Ranjan, N., Tiwari, S., Kumar, T. R., Goyal, D.,& Rafsanjani, M. K. (2022). Digital watermarking-based cryptosystem for cloud resource provisioning. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-20.
Kumar, S., Dubey, K. K., Gautam, A. K., Verma, S., Kumar, V., & Mamodiya, U. (2022). Detection of recurring vulnerabilities in computing services. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1063-1071.
Chouhan, A., Tiwari, A., Diwaker, C., & Sharma, A. (2022, February). Efficient Opportunities and Boundaries towards Internet of Things (IoT) Cost Adaptive Model. In 2022 IEEE Delhi Section Conference (DELCON) (pp. 1-5). IEEE.
Tiwari, A., & Sharma, R. M. (2019). Realm Towards Service Optimization in Fog Computing. International Journal of Fog Computing (IJFC), 2(2), 13-43.
Tiwari, A., & Garg, R. (2021). ACCOS: A Hybrid Anomaly-Aware Cloud Computing Formulation-Based Ontology Services in Clouds. In ISIC (pp. 341-346).M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 1989.
Tiwari, A., Kumar, S., Baishwar, N., Vishwakarma, S. K., & Singh, P. (2022). Efficient Cloud Orchestration Services in Computing. In Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (pp. 739-746). Springer, Singapore.
Tiwari, A., & Garg, R. (2022). Adaptive Ontology-Based IoT Resource Provisioning in Computing Systems. International Journal on Semantic Web and Information Systems (IJSWIS), 18(1), 1-18.
Tiwari, A., & Sharma, R. M. (2021). OCC: A Hybrid Multiprocessing Computing Service Decision Making Using Ontology System. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 16(4), 96-116.
Chakraborty, K., Singhal, S., Arya, N., Tiwari, M., Khatoon, A., & Tiwari, A. (2023, November). Multilevel Cloud resource Scheduling approach based on imagebased signature system. In Proceedings of the 5th International Conference on Information Management & Machine Intelligence (pp. 1-7).
Tiwari, A., & Sharma, R. M. (2016, August). Potent cloud services utilization with efficient revised rough set optimization service parameters. In Proceedings of the International Conference on Advances in Information Communication Technology & Computing (pp. 1-7).
Sah, M. K., Kumar, V., & Tiwari, A. (2017). Security and concurrency control in distributed database system. International Journal of scientific research and management, 2(12), 1839-1845.
Tiwari, A., & Garg, R. (2019). Eagle Techniques In Cloud Computational Formulation. International Journal of Innovative Technology and Exploring Engineering, 8(1), 422-429.
Malik, M., Kumar, M., Kumar, V., Gautam, A. K., Verma, S., Kumar, S., & Goyal, D. (2022). High level browser security in cloud computing services from cross site scripting attacks. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1073-1081.
Kumar, S., Srivastava, P. K., Srivastava, G. K., Singhal, P., Singh, D., & Goyal, D. (2022). Chaos based image encryption security in cloud computing. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1041-1051.