Advances in Network Performance Techniques Improving Confectionery Business Communication Reliability
DOI:
https://doi.org/10.32628/CSEIT251116102Abstract
Advances in network performance techniques are increasingly critical to improving communication reliability across modern confectionery business environments. As manufacturers integrate digital tools including ERP, MES, SCADA systems, smart sensors, industrial IoT devices, and cloud-based platforms the demand for stable, high-speed, and resilient communication infrastructures has intensified. This abstract presents an overview of emerging network technologies and optimization strategies that enhance operational efficiency, data integrity, and real-time responsiveness in confectionery production and enterprise workflows. Keywords: network performance, communication reliability, confectionery manufacturing, IoT, SDN, QoS, edge computing, cyber-physical systems. Contemporary confectionery operations rely on seamless data exchange among interconnected production lines, automated dosing systems, temperature-controlled processes, and quality-monitoring platforms. Network performance techniques such as Software-Defined Networking (SDN) and Quality-of-Service (QoS) frameworks allow dynamic traffic prioritization, ensuring that time-sensitive control signals such as those used in moulding, enrobing, and packaging are delivered without delays or packet loss. High-speed industrial Ethernet, Wi-Fi 6/6E, and private 5G networks further strengthen communication stability by increasing bandwidth, reducing latency, and supporting dense device connectivity on factory floors and across supply-chain nodes. Edge computing is emerging as a cornerstone of communication reliability, enabling local processing of production data, predictive maintenance insights, and anomaly-detection algorithms without relying entirely on cloud infrastructures. This reduces communication bottlenecks and enhances system responsiveness in environments where continuous monitoring of thermal profiles, viscosity levels, or ingredient flow rates is essential. Additionally, redundancy mechanisms such as failover routing, dual-path architectures, and high-availability clusters protect against network interruptions that could disrupt production continuity or compromise food-safety monitoring. Real-time network analytics and AI-driven diagnostics are transforming communication reliability by identifying performance degradation, cybersecurity threats, or hardware faults before they escalate. As confectionery enterprises expand their digital footprints, these network performance techniques collectively ensure robust operational communication, minimize downtime, and support traceable, high-quality product outputs. Ultimately, advanced, resilient network infrastructures form the backbone of competitive, data-driven, and customer-responsive confectionery business ecosystems.
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Abayomi, A.A., Ajayi, O.O., Ogeawuchi, J.C., Daraojimba, A.I., Ubanadu, B.C. and Alozie, C.E., 2022. A conceptual framework for accelerating data-centric decision-making in agile business environments using cloud-based platforms. International Journal of Social Science Exceptional Research, 1(1), pp.270-276. DOI: https://doi.org/10.54660/IJSSER.2022.1.1.270-276
Abdul-Azeez, O., Ihechere, A.O. and Idemudia, C., 2024. SMEs as catalysts for economic development: Navigating challenges and seizing opportunities in emerging markets. GSC Advanced Research and Reviews, 19(3), pp.325-335. DOI: https://doi.org/10.30574/gscarr.2024.19.3.0230
Adebayo, A.S., Ajayi, O.O. and Chukwurah, N., 2024. Explainable AI in robotics: A critical review and implementation strategies for transparent decision-making. Journal of Robotics and AI Systems, 12(4), pp.101-118.
Adebayo, A.S., Chukwurah, N. and Ajayi, O.O., 2022. Proactive Ransomware Defense Frameworks Using Predictive Analytics and Early Detection Systems for Modern Enterprises. Journal of Information Security and Applications, 18(2), pp.45-58.
Adebayo, A.S., Chukwurah, N. and Ajayi, O.O., 2024. Leveraging foundation models in robotics: Transforming task planning and contextual execution. Journal Name Unspecified. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.1.1388-1394
Aderonmu, A.I. and Ajayi, O.O., 2024. Artificial intelligence-based spectrum allocation strategies for dynamic spectrum access in 5G and IMS networks. ATBU Journal of Science, Technology and Education, 12(2), pp.482-493.
Akerele, J.I., Collins, A., Alozie, C.E., Abieba, O.A. and Ajayi, O.O., 2024. The evolution and impact of cloud computing on real-time data analysis in oil and gas operational efficiency. International Journal of Management and Organizational Research, 3(1), pp.83-89. DOI: https://doi.org/10.54660/IJMOR.2024.3.1.83-89
Akinbode, A.K., Olinmah, F.I., Chima, O.K., Okare, B.P. and Aduloju, T.D., 2023. A KPI Optimization Framework for Institutional Performance Using R and Business Intelligence Tools. Gyanshauryam Int Sci Ref Res J, 6(5), pp.274-308.
Akindemowo, A.O., Erigha, E.D., Obuse, E., Ajayi, J.O., Soneye, O.M. and Adebayo, A., 2022. A conceptual model for agile portfolio management in multi-cloud deployment projects. International Journal of Computer Science and Mathematical Theory, 8(2), pp.64-93.
Akinlade, O.F., Filani, O.M. and Nwachukwu, P.S., 2023. AI-Integrated Procurement Frameworks Aligning Operational Efficiency with Organizational Strategic Goals.
Akinlade, O.F., Filani, O.M. and Nwachukwu, P.S., 2023. Statistical Approaches for Optimizing Order Promising Accuracy Within Supply Chain Networks.
Amini-Philips, A., Ibrahim, A.K. and Eyinade, W., 2023. The Human Capital Development Conceptual Framework for Analyst Training and Integration Efficiency.
Arowogbadamu, A.A.G., Oziri, S.T. and Seyi-Lande, O.B., 2022. Customer Segmentation and Predictive Modeling Techniques for Achieving Sustainable ARPU Growth in Telecom Markets.
Arowogbadamu, A.A.G., Oziri, S.T. and Seyi-Lande, O.B., 2024. Telemarketing and Sponsorship Analytics as Strategic Tools for Enhancing Customer Acquisition and Retention. DOI: https://doi.org/10.54660/GMPJ.2024.1.5.56-66
Asata, M.N., Nyangoma, D. and Okolo, C.H., 2023. Reducing Passenger Complaints through Targeted Inflight Coaching: A Quantitative Assessment. International Journal of Scientific Research in Civil Engineering, 7(3), pp.144-162.
Asata, M.N., Nyangoma, D. and Okolo, C.H., 2023. Verbal and visual communication strategies for safety compliance in commercial cabin environments. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 9(3), pp.823-841.
Ayanbode, N., Abieba, O.A., Chukwurah, N., Ajayi, O.O. and Ifesinachi, A., 2024. Human factors in fintech cybersecurity: addressing insider threats and behavioral risks. Journal of Cybersecurity in FinTech, 14(2), pp.34-49.
Balogun, O., Abass, O.S. and Didi, P.U., 2023. Packaging innovation as a strategic lever for enhancing brand equity in regulation-constrained environments. International Scientific Refereed Research Journal, 6(4), pp.338-356.
Balogun, O., Abass, O.S. and Didi, P.U., 2024. Designing micro-journey frameworks for consumer adoption in digitally regulated retail channels. Gyanshauryam, International Scientific Refereed Research Journal, 7(4), pp.166-181.
Bayeroju, O.F., Sanusi, A.N. and Nwokediegwu, Z.Q.S., 2023. Conceptual Model for Circular Economy Integration in Urban Regeneration and Infrastructure Renewal. Gyanshauryam, International Scientific Refereed Research Journal, 6(3), pp.288-305.
Chima, O.K., Idemudia, S.O., Ezeilo, O.J., Ojonugwa, B.M. and Adesuyi, A.O.M.O., 2022. Advanced Review of SME Regulatory Compliance Models Across US State-Level Jurisdictions.
Chima, O.K., Ojonugwa, B.M., Ezeilo, O.J., Adesuyi, M.O. and Ochefu, A., 2022. Deep learning architectures for intelligent customer insights: Frameworks for retail personalization. Shodhshauryam. International Scientific Refereed Research Journal, 5(2), pp.210-225.
Chukwurah, N., Abieba, O.A., Ayanbode, N., Ajayi, O.O. and Ifesinachi, A., 2024. Inclusive cybersecurity practices in AI-enhanced telecommunications: A conceptual framework. Journal of AI and Telecommunications Security, 8(2), pp.45-60.
Chukwurah, N., Adebayo, A.S. and Ajayi, O.O., 2024. Sim-to-real transfer in robotics: Addressing the gap between simulation and real-world performance. International Journal of Robotics and Simulation, 6(1), pp.89-102. DOI: https://doi.org/10.54660/.IJFMR.2024.5.1.33-39
Didi, P.U., Abass, O.S. and Balogun, O., 2023. A hybrid channel acceleration strategy for scaling distributed energy technologies in underserved regions. International Scientific Refereed Research Journal, 6(5), pp.253-273.
Ekwunife, D.I., PRECIOUS, O.T., RASUL, O.A., AKINLADE, O.F., NWOKORO, T.O. and IKPE, V.I., 2024. Using blockchain technology to maximize supply chain and logistics management in north America. Int. J. Sci. Res. Arch, 12(2), pp.854-863. DOI: https://doi.org/10.30574/ijsra.2024.12.2.1096
Evans-Uzosike, I.O., Okatta, C.G., Otokiti, B.O., Ejike, O.G. and Kufile, O.T., 2022. Extended Reality in Human Capital Development: A Review of VR/AR-Based Immersive Learning Architectures for Enterprise-Scale Employee Training.
Eyinade, W., Amini-Philips, A. and Ibrahim, A.K., 2023. The Global Venture Debt Concept: A Mechanism for Innovation and Sponsor-Backed Financing.
Ezeilo, O.J., Chima, O.K. and Ojonugwa, B.M., 2022. AI-augmented forecasting in omnichannel retail: Bridging predictive analytics with customer experience optimization. International Journal of Scientific Research in Science and Technology, 9(5), pp.1332-1349.
Faiz, F., Ninduwezuor-Ehiobu, N., Adanma, U.M. and Solomon, N.O., 2024. AI-Powered waste management: Predictive modeling for sustainable landfill operations. Comprehensive Research and Reviews in Science and Technology, 2(1), pp.020-044. DOI: https://doi.org/10.57219/crrst.2024.2.1.0031
Faiz, F., Ninduwezuor-Ehiobu, N., Adanma, U.M. and Solomon, N.O., 2024. Blockchain for sustainable waste management: Enhancing transparency and accountability in waste disposal.
Faiz, F., Ninduwezuor-Ehiobu, N., Adanma, U.M. and Solomon, N.O., Circular Economy and Data-Driven Decision Making: Enhancing Waste Recycling and Resource Recovery.
Farounbi, B.O., Ibrahim, A.K. and Abdulsalam, R., Investor Relations as a Strategic Lever for Market Value Creation in Global Multinationals.2023
Fasawe, O., Umoren, O. and Makata, C.O., 2024. Conceptual Framework for Improving Supply Chain Cycle Times Through Distributed Fulfilment Models. International Journal of Scientific Research in Humanities and Social Sciences, 1(2), pp.811-838.
Ibrahim, A.K., Amini-Philips, A. and Eyinade, W., 2023. An SME Loan Structuring Framework: Customized Credit Solutions in North American Commercial Banking.
Johnson, E., Seyi-Lande, O.B., Adeleke, G.S., Amajuoyi, C.P. and Simpson, B.D., 2024. Developing scalable data solutions for small and medium enterprises: Challenges and best practices. International journal of management & entrepreneurship research, 6(6), pp.1910-1935. DOI: https://doi.org/10.51594/ijmer.v6i6.1206
Obuse, E., Akindemowo, A.O., Ajayi, J.O., Erigha, E.D., Adebayo, A., Afuwape, A.A. and Soneye, O.M., 2024. A conceptual framework for CI/CD pipeline security controls in hybrid application deployments. International Journal of Future Engineering Innovations, 1(2), pp.25-47. DOI: https://doi.org/10.54660/IJFEI.2024.1.2.25-47
Obuse, E., Etim, E.D., Essien, I.A., Cadet, E., Ajayi, J.O., Erigha, E.D. and Babatunde, L.A., 2023. AI-powered incident response automation in critical infrastructure protection. International Journal of Advanced Multidisciplinary Research Studies, 3(1), pp.1156-1171. DOI: https://doi.org/10.62225/2583049X.2023.3.1.4899
Ogeawuch, J.C., Ajayi, O.O., Daraojimba, A.I., Agboola, O.A., Alozie, C.E. and Owoade, S., 2023. A conceptual framework for building robust data governance and quality assurance models in multi-cloud analytics ecosystems. International Journal of Advanced Multidisciplinary Research and Studies, 3(6), pp.1589-1595. DOI: https://doi.org/10.62225/2583049X.2023.3.6.4247
Ogedengbe, A.O., Eboseremen, B.O., Obuse, E., Oladimeji, O., Ajayi, J.O., Akindemowo, A.O., Erigha, E.D. and Ayodeji, D.C., 2022. Strategic data integration for revenue leakage detection: Lessons from the Nigerian banking sector. International Journal of Multidisciplinary Research and Growth Evaluation, 3(3), pp.718-728.
Okafor, C.M., Osuji, V.C. and Dako, O.F., 2024. Harmonizing Risk Governance, Technology Infrastructure, and Compliance Frameworks for Future-Ready Banking Systems. International Journal of Scientific Research in Humanities and Social Sciences, 1(1), pp.316-337.
Okare, B.P., Omolayo, O. and Aduloju, T.D., 2024. Designing Unified Compliance Intelligence Models for Scalable Risk Detection and Prevention in SME Financial Platforms. DOI: https://doi. org/10.54660/. IJMRGE, pp.4-1421. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.4.1421-1433
Oladimeji, O., Ayodeji, D.C., Erigha, E.D., Eboseremen, B.O., Ogedengbe, A.O., Obuse, E., Ajayi, J.O. and Akindemowo, A.O., 2023. Machine learning attribution models for real-time marketing optimization: Performance evaluation and deployment challenges. International Journal of Advanced Multidisciplinary Research Studies, 3(5), pp.1561-1571. DOI: https://doi.org/10.62225/2583049X.2023.3.5.4813
Oladimeji, O., Ayodeji, D.C., Erigha, E.D., Eboseremen, B.O., Umar, M.O., Obuse, E., Ajayi, J.O. and Akindemowo, A.O., 2023. Governance models for scalable self-service analytics: Balancing flexibility and data integrity in large enterprises. International Journal of Advanced Multidisciplinary Research Studies, 3(5), pp.1582-1592. DOI: https://doi.org/10.62225/2583049X.2023.3.5.4815
Oloruntoba, O. and Omolayo, O., 2024. Unlocking Performance and Uptime: A Strategic Approach to Oracle 12c to 19c Migration for Maximizing ROI. This paper is an original technical whitepaper completed in March. DOI: https://doi.org/10.2139/ssrn.5267801
Omolayo, O., Taiwo, A.E., Aduloju, T.D., Okare, B.P., Afuwape, A.A. and Frempong, D., 2024. Quantum machine learning algorithms for real-time epidemic surveillance and health policy simulation: A review of emerging frameworks and implementation challenges. International Journal of Multidisciplinary Research and Growth Evaluation, 5(3), pp.1084-1092. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.3.1100-1108
Oziri, S.T., Arowogbadamu, A.A.G. and Seyi-Lande, O.B., 2022. Predictive Modeling Applications Designing Usage and Retention Testbeds to Improve Campaign Effectiveness and Strengthen Telecom Customer Relationships. Unpublished manuscript.
Oziri, S.T., Arowogbadamu, A.A.G. and Seyi-Lande, O.B., 2023. Revenue Forecasting Models as Risk Mitigation Tools Leveraging Data Analytics in Telecommunications Strategy.
Rukh, S., Seyi-Lande, O.B. and Oziri, S.T., 2023. A Model for Advancing Digital Inclusion through Business Analytics and Partnerships. DOI: https://doi.org/10.32628/GISRRJ236535
Rukh, S., Seyi-Lande, O.B. and Oziri, S.T., 2024. An Integrated Framework for AI and Predictive Analytics in Supply Chain Management. International Journal of Scientific Research in Humanities and Social Sciences, 1(1), pp.451-491. DOI: https://doi.org/10.32628/IJSRSSH243671
Sanusi, A.N., Bayeroju, O.F. and Nwokediegwu, Z.Q.S., 2023. Conceptual Model for Sustainable Procurement and Governance Structures in the Built Environment. Gyanshauryam, International Scientific Refereed Research Journal, 6(4), pp.448-466.
Sanusi, A.N., Bayeroju, O.F. and Nwokediegwu, Z.Q.S., 2023. Framework for Leveraging Artificial Intelligence in Monitoring Environmental Impacts of Green Buildings. International Journal of Advanced Multidisciplinary Research and Studies, 3(1), pp.1194-1203. DOI: https://doi.org/10.62225/2583049X.2023.3.1.4912
Seyi-Lande, O. and Onaolapo, C.P., 2024. Elevating Business Analysis with AI: Strategies for Analysts. DOI: https://doi.org/10.20944/preprints202401.0435.v1
Simpson, B.D., Johnson, E., Adeleke, G.S., Amajuoyi, C.P. and Seyi-Lande, O.B., 2024. Leveraging big data for agile transformation in technology firms: Implementation and best practices. Engineering Science & Technology Journal, 5(6), pp.1952-1968. DOI: https://doi.org/10.51594/estj.v5i6.1216
Taiwo, K.A. and Akinbode, A.K., 2024. Intelligent supply chain optimization through IoT analytics and predictive AI: A comprehensive analysis of US market implementation. International Journal of Modern Science and Research Technology, 2(3), pp.1-22.
Taiwo, K.A., Akinbode, A.K. and Uchenna, E., 2024. Advanced A/B testing and causal inference for AI-driven digital platforms: A comprehensive framework for US digital markets. International Journal of Computer Applications Technology and Research, 13(6), pp.24-46.
Uddoh, J., Ajiga, D., Okare, B.P. and Aduloju, T.D., 2022. Review of explainable AI applications in compliance-focused decision-making in regulated industries. International Journal of Scientific Research in Science and Technology, 9(1), pp.605-615.
Uddoh, J., Ajiga, D., Okare, B.P. and Aduloju, T.D., 2023. Establishing Blockchain-Based Renewable Energy Certificates for Transparency and Trade Efficiency.
Uddoh, J., Ajiga, D., Okare, B.P. and Aduloju, T.D., 2024. Conducting IoT Vulnerability Risk Assessments in Smart Factory Networks: Tools and Techniques. International Journal of Scientific Research in Science and Technology, 11(5), pp.777-791.
Umana, A.U., Afrihyia, E., Appoh, M., Frempong, D., Akinboboye, O., Okoli, I., Umar, M.O. and Omolayo, O., 2022. Data-driven project monitoring: Leveraging dashboards and KPIs to track performance in technology implementation projects. Journal of Frontiers in Multidisciplinary Research, 3(2), pp.35-48. DOI: https://doi.org/10.54660/.IJFMR.2022.3.2.35-48
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