A Regression-Based Framework for Identifying Drivers of Transportation Cost Variability in Local Supply Chains

Authors

  • Opeyemi Morenike Filani  Proburg Ltd, Lagos, Nigeria
  • John Oluwaseun Olajide  Lipton, Nigeria
  • Grace Omotunde Osho  Guinness Nig. Plc, Nigeria

Keywords:

Transportation Cost Variability, Supply Chain Regression Modeling, Logistics Cost Drivers, Local Supply Chain Dynamics, Cost Control Strategies, Predictive Analytics Frameworks

Abstract

Transportation cost variability is a critical factor influencing the efficiency and competitiveness of local supply chains, especially in regions characterized by infrastructural limitations, fluctuating fuel prices, and regulatory complexities. Despite growing interest in cost optimization, there remains a lack of structured methodologies to systematically identify the primary drivers of such variability. This paper proposes a regression-based analytical framework for investigating the dynamic and multifactorial contributors to transportation cost fluctuations in local supply networks. Drawing upon an extensive review of empirical and theoretical studies, the study integrates insights from supply chain economics, logistics operations, and econometric modeling. The proposed framework is designed to guide policymakers, supply chain analysts, and logistics providers in diagnosing inefficiencies and implementing data-driven interventions. As no original data was gathered, this article is based entirely on a synthesis of secondary sources. The study concludes by highlighting research and operational gaps that need to be addressed for improved predictability and control of transportation expenditures.

References

  1. A. Roozbeh Nia, A. Awasthi, and N. Bhuiyan, “Industry 4.0 and demand forecasting of the energy supply chain: A literature review,” Comput Ind Eng, vol. 154, Apr. 2021, doi: 10.1016/j.cie.2021.107128.
  2. J. Chai and E. W. T. Ngai, “Multi-perspective strategic supplier selection in uncertain environments,” Int J Prod Econ, vol. 166, pp. 215–225, Aug. 2015, doi: 10.1016/j.ijpe.2014.09.035.
  3. F. C. Okolo, E. A. Etukudoh, O. Ogunwole, G. O. Osho, and J. O. Basiru, “Policy-Oriented Framework for Multi-Agency Data Integration Across National Transportation and Infrastructure Systems,” Journal of Frontiers in Multidisciplinary Research, vol. 3, no. 01, pp. 140–149, 2022.
  4. O. Ogunwoye, C. Onukwulu, J. Sam-bulya, M. O. Joel, and O. Achimie, “Optimizing Supplier Relationship Management for Energy Supply Chain,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, 2022.
  5. E. C. Onukwulu, I. N. Dienagha, W. N. Digitemie, and P. I. Egbumokei, “Predictive Analytics for Mitigating Supply Chain Disruptions in Energy Operations,” Iconic Research and Engineering Journals, vol. 5, no. 3, pp. 256–282, 2021.
  6. J. Chai, J. N. K. Liu, and E. W. T. Ngai, “Application of decision-making techniques in supplier selection: A systematic review of literature,” Expert Syst Appl, vol. 40, no. 10, pp. 3872–3885, Aug. 2013, doi: 10.1016/j.eswa.2012.12.040.
  7. J. Fan, F. Han, and H. Liu, “Challenges of Big Data analysis,” Natl Sci Rev, vol. 1, no. 2, pp. 293–314, Jun. 2014, doi: 10.1093/NSR/NWT032.
  8. A. C. Mgbame, O. E. Akpe, A. A. Abayomi, E. Ogbuefi, and O. O. Adeyelu, “Developing Low-Cost Dashboards for Business Process Optimization in SMEs,” International Journal of Management and Organizational Research, vol. 1, no. 1, pp. 214–230, 2022, doi: 10.54660/ijmor.2022.1.1.214-230.
  9. B. Adebisi, E. Aigbedion, O. B. Ayorinde, and E. C. Onukwulu, “A Conceptual Model for Implementing Lean Maintenance Strategies to Optimize Operational Efficiency and Reduce Costs in Oil & Gas Industries,” International Journal of Management and Organizational Research, vol. 1, no. 1, pp. 50–57, 2022.
  10. B. Beemsterboer, R. Teunter, and J. Riezebos, “Two-product storage-capacitated inventory systems: A technical note,” Int J Prod Econ, vol. 176, pp. 92–97, Jun. 2016, doi: 10.1016/j.ijpe.2016.03.015.
  11. S. Fosso Wamba, S. Akter, A. Edwards, G. Chopin, and D. Gnanzou, “How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study,” Int J Prod Econ, vol. 165, pp. 234–246, Jul. 2015, doi: 10.1016/J.IJPE.2014.12.031.
  12. E. C. Onukwulu, M. O. Agho, and N. L. Eyo-Udo, “Advances in Green Logistics Integration for Sustainability in Energy Supply Chains,” World Journal of Advanced Science and Technology, vol. 2, no. 1, pp. 47–68, 2022.
  13. G. O. Osho, J. O. Omisola, and J. O. Shiyanbola, “An Integrated AI-Power BI Model for Real-Time Supply Chain Visibility and Forecasting: A Data-Intelligence Approach to Operational Excellence,” Unknown Journal, 2020.
  14. A. C. Mgbame, O. E. Akpe, A. A. Abayomi, E. Ogbuefi, and O. O. Adeyelu, “Building Data-Driven Resilience in Small Businesses: A Framework for Operational Intelligence,” Iconic Research and Engineering Journals, vol. 5, no. 9, pp. 695–712, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1708218
  15. E. Ogbuefi, A. C. Mgbame, O. E. Akpe, A. A. Abayomi, and O. O. Adeyelu, “Affordable Automation: Leveraging Cloud-Based BI Systems for SME Sustainability,” Iconic Research and Engineering Journals, vol. 5, no. 12, pp. 489–505, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1708219
  16. S. Sharma and N. Agrawal, “Application of fuzzy techniques in a multistage manufacturing system,” International Journal of Advanced Manufacturing Technology, vol. 60, no. 1–4, pp. 397–407, Apr. 2012, doi: 10.1007/S00170-011-3607-9.
  17. R. Srinivasan, G. L. Lilien, A. Rangaswamy, G. M. Pingitore, and D. Seldin, “The total product design concept and an application to the auto market,” Journal of Product Innovation Management, vol. 29, pp. 3–20, Dec. 2012, doi: 10.1111/J.1540-5885.2012.00958.X.
  18. J. C. Ogeawuchi, O. E. Akpe, A. A. Abayomi, and O. A. Agboola, “Systematic Review of Business Process Optimization Techniques Using Data Analytics in Small and Medium Enterprises,” IRE Journals, vol. 5, no. 4, pp. 251–259, 2021.
  19. J. E. Ozor, O. Sofoluwe, and D. D. Jambol, “A Review of Geomechanical Risk Management in Well Planning: Global Practices and Lessons from the Niger Delta,” International Journal of Scientific Research in Civil Engineering, vol. 5, no. 2, pp. 104–118, 2021.
  20. J. C. Ogeawuchi, A. C. Uzoka, A. A. Abayomi, O. A. Agboola, and P. Gbenle, “Innovations in Data Modeling and Transformation for Scalable Business Intelligence on Modern Cloud Platforms,” Iconic Research and Engineering Journals, vol. 5, no. 5, pp. 406–415, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1708319
  21. B. Adebisi, E. Aigbedion, O. B. Ayorinde, and E. C. Onukwulu, “A Conceptual Model for Predictive Asset Integrity Management Using Data Analytics to Enhance Maintenance and Reliability in Oil & Gas Operations,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, 2021.
  22. A. A. Abayomi, B. C. Ubanadu, A. I. Daraojimba, O. A. Agboola, and S. Owoade, “A Conceptual Framework for Real-Time Data Analytics and Decision-Making in Cloud-Optimized Business Intelligence Systems,” Iconic Research and Engineering Journals, vol. 5, no. 9, pp. 713–722, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1708317
  23. B. I. Ashiedu, E. Ogbuefi, U. S. Nwabekee, J. C. Ogeawuchi, and A. A. Abayomi, “Telecom Infrastructure Audit Models for African Markets: A Data-Driven Governance Perspective,” Iconic Research and Engineering Journals, vol. 6, no. 6, pp. 434–448, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1708536
  24. A. Gunasekaran and A. Spalanzani, “Sustainability of manufacturing and services: Investigations for research and applications,” Int J Prod Econ, vol. 140, no. 1, pp. 35–47, Nov. 2012, doi: 10.1016/j.ijpe.2011.05.011.
  25. J. K. Bae and J. Kim, “Product development with data mining techniques: A case on design of digital camera,” Expert Syst Appl, vol. 38, no. 8, pp. 9274–9280, Aug. 2011, doi: 10.1016/j.eswa.2011.01.030.
  26. S. Nwani, O. Abiola-Adams, B. O. Otokiti, and J. C. Ogeawuchi, “Constructing Revenue Growth Acceleration Frameworks Through Strategic Fintech Partnerships in Digital E-Commerce Ecosystems,” IRE Journals, vol. 6, no. 2, pp. 372–380, 2022.
  27. T. P. Gbenle, A. A. Abayomi, A. C. Uzoka, J. C. Ogeawuchi, and O. S. Adanigbo, “Applying OAuth2 and JWT Protocols in Securing Distributed API Gateways: Best Practices and Case Review,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, 2022.
  28. K. Nakatani and T. T. Chuang, “A web analytics tool selection method: An analytical hierarchy process approach,” Internet Research, vol. 21, no. 2, pp. 171–186, Jan. 2011, doi: 10.1108/10662241111123757.
  29. A. N. Mishra, S. Devaraj, and G. Vaidyanathan, “Capability hierarchy in electronic procurement and procurement process performance: An empirical analysis,” Journal of Operations Management, vol. 31, no. 6, pp. 376–390, 2013, doi: 10.1016/j.jom.2013.07.011.
  30. A. Y. Onifade, J. C. Ogeawuchi, A. Ayodeji, and A. A. Abayomi, “Advances in Multi-Channel Attribution Modeling for Enhancing Marketing ROI in Emerging Economies,” IRE Journals, vol. 5, no. 6, pp. 360–376, 2021.
  31. O. J. Esan, O. T. Uzozie, O. Onaghinor, G. O. Osho, and E. A. Etukudoh, “Procurement 4.0: Revolutionizing Supplier Relationships through Blockchain, AI, and Automation: A Comprehensive Framework,” Journal Of Frontiers In Multidisciplinary Research, vol. 3, no. 1, pp. 117–123, 2022.
  32. A. Odetunde, B. I. Adekunle, and J. C. Ogeawuchi, “Using Predictive Analytics and Automation Tools for Real-Time Regulatory Reporting and Compliance Monitoring,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, 2022.
  33. J. P. Belaud, S. Negny, F. Dupros, D. Michéa, and B. Vautrin, “Collaborative simulation and scientific big data analysis: Illustration for sustainability in natural hazards management and chemical process engineering,” Comput Ind, vol. 65, no. 3, pp. 521–535, 2014, doi: 10.1016/j.compind.2014.01.009.
  34. G. Wang, L. Lei, and K. Lee, “Supply chain scheduling with receiving deadlines and non-linear penalty,” Journal of the Operational Research Society, vol. 66, no. 3, pp. 380–391, Mar. 2015, doi: 10.1057/JORS.2014.2.
  35. J. P. Onoja, O. Hamza, A. Collins, U. B. Chibunna, A. Eweja, and A. I. Daraojimba, “Digital Transformation and Data Governance: Strategies for Regulatory Compliance and Secure AI-Driven Business Operations,” 2021.
  36. F. C. Okolo, E. A. Etukudoh, O. Ogunwole, G. O. Osho, and J. O. Basiru, “Advances in Integrated Geographic Information Systems and AI Surveillance for Real-Time Transportation Threat Monitoring,” Journal of Frontiers in Multidisciplinary Research, vol. 3, no. 01, pp. 130–139, 2022.
  37. O. Ibitayo, “Towards effective urban transportation system in Lagos, Nigeria: Commuters’ opinions and experiences,” Transp Policy (Oxf), vol. 24, pp. 141–147, 2012.
  38. D. Cattaruzza, N. Absi, and D. Feillet, “The multi-trip vehicle routing problem with time windows and release dates,” Transportation Science, vol. 50, no. 2, pp. 676–693, May 2016, doi: 10.1287/TRSC.2015.0608.
  39. N. Hayatu, A. A. Abayomi, and A. C. Uzoka, “Systematic Review of Cross-Border Collaboration in Telecom Projects Across Sub-Saharan Africa,” Iconic Research and Engineering Journals, vol. 4, no. 7, pp. 240–267, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1708633
  40. A. C. Uzoka, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and T. P. Gbenle, “Advances in Cloud Security Practices Using IAM, Encryption, and Compliance Automation,” Iconic Research and Engineering Journals, vol. 5, no. 5, pp. 432–456, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1708519
  41. D. Potts, “Challenging the myths of urban dynamics in sub-Saharan Africa: The evidence from Nigeria,” World Dev, vol. 40, no. 7, pp. 1382–1393, 2012.
  42. S. Rahman and N. Subramanian, “Factors for implementing end-of-life computer recycling operations in reverse supply chains,” Int J Prod Econ, vol. 140, no. 1, pp. 239–248, Nov. 2012, doi: 10.1016/j.ijpe.2011.07.019.
  43. H. Soleimani, M. Seyyed-Esfahani, and G. Kannan, “Incorporating risk measures in closed-loop supply chain network design,” Int J Prod Res, vol. 52, no. 6, pp. 1843–1867, Mar. 2014, doi: 10.1080/00207543.2013.849823.
  44. Z. Liu, D. K. H. Chua, and K. W. Yeoh, “Aggregate production planning for shipbuilding with variation-inventory trade-offs,” Int J Prod Res, vol. 49, no. 20, pp. 6249–6272, Oct. 2011, doi: 10.1080/00207543.2010.527388.
  45. L. Barreto, A. Amaral, and T. Pereira, “Industry 4.0 implications in logistics: an overview,” Procedia Manuf, vol. 13, pp. 1245–1252, 2017, doi: 10.1016/j.promfg.2017.09.045.
  46. F. C. Okolo, E. A. Etukudoh, O. Ogunwole, G. O. Osho, and J. O. Basiru, “Strategic Framework for Enhancing Cargo Screening and Intelligent Border Security Through Automated Detection Technologies,” Journal Of Frontiers In Multidisciplinary Research, vol. 3, no. 1, pp. 150–159, 2022.
  47. O. O. Fagbore, J. C. Ogeawuchi, O. Ilori, N. J. Isibor, A. Odetunde, and B. I. Adekunle, “A Review of Internal Control and Audit Coordination Strategies in Investment Fund Governance,” International Journal of Social Science Exceptional Research, vol. 1, no. 02, pp. 58–74, 2022.
  48. A. T. Ofoedu, J. E. Ozor, O. Sofoluwe, and D. D. Jambol, “Stakeholder Alignment Framework for Multinational Project Execution in Deepwater Petroleum Development Projects,” International Journal of Scientific Research in Civil Engineering, vol. 6, no. 6, pp. 158–176, 2022.
  49. B. C. Ubamadu, D. Bihani, A. I. Daraojimba, G. O. Osho, and J. O. Omisola, “Optimizing Smart Contract Development: A Practical Model for Gasless Transactions via Facial Recognition in Blockchain,” Unknown Journal, 2022.
  50. M. T. Ayumu and T. C. Ohakawa, “Real Estate Portfolio Valuation Techniques to Unlock Funding for Affordable Housing in Africa,” [Journal Not Specified], 2022.
  51. O. A. Alabi, Z. O. Olonade, O. O. Omotoye, and A. S. Odebode, “Non-Financial Rewards and Employee Performance in Money Deposit Banks in Lagos State, Nigeria,” ABUAD Journal of Social and Management Sciences, vol. 3, no. 1, pp. 58–77, Dec. 2022, doi: 10.53982/ajsms.2022.0301.05-j.
  52. B. Panda and H. P. Thakur, “Decentralization and health system performance - a focused review of dimensions, difficulties, and derivatives in India,” BMC Health Serv Res, vol. 16, pp. 1–14, Oct. 2016, doi: 10.1186/S12913-016-1784-9.
  53. R. Bernardi, “Health information systems and accountability in Kenya: A structuration theory perspective,” J Assoc Inf Syst, vol. 18, no. 12, pp. 931–957, Dec. 2017, doi: 10.17705/1JAIS.00475.
  54. S. Misaghi, C. Tirado, S. Nazarian, and C. Carrasco, “Impact of pavement roughness and suspension systems on vehicle dynamic loads on flexible pavements,” Transportation Engineering, vol. 3, p. 100045, 2021, doi: 10.1016/j.treng.2021.100045.
  55. M. A. T Lawanson, “Land governance and megacity projects in Lagos, Nigeria: The case of Lekki Free Trade Zone,” Area Development and Policy, vol. 3, no. 1, pp. 114–131, 2018.
  56. I. Abubakar and U. Dano, “Socioeconomic challenges and opportunities of urbanization in Nigeria,” 2018, IGI Global.
  57. A. T. Ofoedu, J. E. Ozor, O. Sofoluwe, and D. D. Jambol, “A Root Cause Analytics Model for Diagnosing Offshore Process Failures Using Live Operational Data,” [Journal Not Specified], 2022.
  58. O. T. Odofin, S. Owoade, E. Ogbuefi, J. C. Ogeawuchi, and O. Segun, “Integrating Event-Driven Architecture in Fintech Operations Using Apache Kafka and RabbitMQ Systems,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, 2022.
  59. J. Caceres-Cruz, P. Arias, D. Guimarans, D. Riera, and A. A. Juan, “Rich vehicle routing problem: Survey,” ACM Comput Surv, vol. 47, no. 2, Sep. 2014, doi: 10.1145/2666003.
  60. V. Pillac, M. Gendreau, C. Guéret, and A. L. Medaglia, “A review of dynamic vehicle routing problems,” Eur J Oper Res, vol. 225, no. 1, pp. 1–11, Feb. 2013, doi: 10.1016/J.EJOR.2012.08.015.
  61. O. A. Agboola, J. C. Ogeawuchi, O. E. Akpe, and A. A. Abayomi, “A Conceptual Model for Integrating Cybersecurity and Intrusion Detection Architecture into Grid Modernization Initiatives,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, no. 1, pp. 1099–1105, 2022, doi: 10.54660/.ijmrge.2022.3.1.1099-1105.
  62. A. A. Abayomi, B. C. Ubanadu, A. I. Daraojimba, O. A. Agboola, E. Ogbuefi, and S. Owoade, “A conceptual framework for real-time data analytics and decision-making in cloud-optimized business intelligence systems,” Iconic Research and Engineering Journals, vol. 5, no. 9, pp. 713–722, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1708317
  63. A. Chen and J. Blue, “Performance analysis of demand planning approaches for aggregating, forecasting and disaggregating interrelated demands,” Int J Prod Econ, vol. 128, no. 2, pp. 586–602, Dec. 2010, doi: 10.1016/j.ijpe.2010.07.006.
  64. A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. Orieno, “A Unified Framework for Risk-Based Access Control and Identity Management in Compliance-Critical Environments,” Journal of Frontiers in Multidisciplinary Research, vol. 3, pp. 23–34, 2022, [Online]. Available: https://www.researchgate.net/publication/390618881
  65. E. C. Onukwulu, I. A. I. N.-D. Dienagha, W. N. Digitemie, and P. I. Egwumokei, “Advances in Digital Twin Technology for Monitoring Energy Supply Chain Operations,” Iconic Research and Engineering Journals, vol. 5, no. 12, pp. 372–400, 2022.
  66. A. C. Mgbame, O. E. Akpe, A. A. Abayomi, E. Ogbuefi, and O. O. Adeyelu, “Developing Low-Cost Dashboards for Business Process Optimization in SMEs,” International Journal of Advanced Multidisciplinary Research and Studies, vol. 4, 2022.
  67. O. M. Oluoha, A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. Orieno, “Optimizing Business Decision-Making with Advanced Data Analytics Techniques,” Iconic Research and Engineering Journals, vol. 6, no. 5, pp. 184–203, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1703887
  68. A. A. Abayomi, J. C. Ogeawuchi, O. E. Akpe, and O. A. Agboola, “Systematic Review of Scalable CRM Data Migration Frameworks in Financial Institutions Undergoing Digital Transformation,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, no. 1, pp. 1093–1098, 2022, doi: 10.54660/.ijmrge.2022.3.1.1093-1098.
  69. A. Abisoye and J. I. Akerele, “A Scalable and Impactful Model for Harnessing Artificial Intelligence and Cybersecurity to Revolutionize Workforce Development and Empower Marginalized Youth),” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 3, no. 1, pp. 714–719, 2022, doi: 10.54660/.IJMRGE.2022.3.1.714-719.
  70. J. C. Ogeawuchi, O. E. Akpe, A. A. Abayomi, O. A. Agboola, E. Ogbuefi, and S. Owoade, “Systematic review of advanced data governance strategies for securing cloud-based data warehouses and pipelines,” Iconic Research and Engineering Journals, vol. 6, no. 1, pp. 784–794, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1708318
  71. A. C. Mgbame, O. E. Akpe, A. A. Abayomi, E. Ogbuefi, and O. O. Adeyelu, “Building data-driven resilience in small businesses: A framework for operational intelligence,” Iconic Research and Engineering Journals, vol. 5, no. 9, pp. 695–712, 2022, [Online]. Available: https://www.irejournals.com/paper-details/1708219
  72. A. Tiwari, P. C. Chang, and M. K. Tiwari, “A highly optimised tolerance-based approach for multi-stage, multi-product supply chain network design,” Int J Prod Res, vol. 50, no. 19, pp. 5430–5444, Oct. 2012, doi: 10.1080/00207543.2011.636078.
  73. N. Cheikhrouhou, F. Marmier, O. Ayadi, and P. Wieser, “A collaborative demand forecasting process with event-based fuzzy judgements,” Comput Ind Eng, vol. 61, no. 2, pp. 409–421, Sep. 2011, doi: 10.1016/j.cie.2011.07.002.
  74. W. J. Guerrero, T. G. Yeung, and C. Guéret, “Joint-optimization of inventory policies on a multi-product multi-echelon pharmaceutical system with batching and ordering constraints,” Eur J Oper Res, vol. 231, no. 1, pp. 98–108, Nov. 2013, doi: 10.1016/j.ejor.2013.05.030.
  75. C. Legner et al., “Digitalization: Opportunity and challenge for the business and information systems engineering community,” Business & Information Systems Engineering, vol. 59, no. 4, pp. 301–308, Aug. 2017, doi: 10.1007/s12599-017-0484-2.
  76. O. E. Akpe, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and E. Ogbuefi, “A Conceptual Framework for Strategic Business Planning in Digitally Transformed Organizations,” Iconic Research And Engineering Journals, vol. 4, no. 4, pp. 207–222, 2020, [Online]. Available: https://www.irejournals.com/paper-details/1708525
  77. E. D. Balogun, K. O. Ogunsola, and A. S. Ogunmokun, “A risk intelligence framework for detecting and preventing financial fraud in digital marketplaces,” ICONIC RESEARCH AND ENGINEERING JOURNALS, vol. 4, no. 08, pp. 134–149, 2021.
  78. G. Perboli, M. Rosano, M. Saint-Guillain, and P. Rizzo, “Simulation-optimisation framework for City Logistics: An application on multimodal last-mile delivery,” IET Intelligent Transport Systems, vol. 12, no. 4, pp. 262–269, May 2018, doi: 10.1049/IET-ITS.2017.0357.
  79. I. Sadler, “Logistics in Manufacturing Organisations,” Logistics and Supply Chain Integration, pp. 31–69, May 2012, doi: 10.4135/9781446214312.N2.
  80. O. Ilori, C. I. Lawal, S. C. Friday, N. J. Isibor, and E. C. Chukwuma-Eke, “The Role of Data Visualization and Forensic Technology in Enhancing Audit Effectiveness: A Research Synthesis,” Journal of Frontiers in Multidisciplinary Research, vol. 3, no. 1, 2022.
  81. K. B. Lim, J. Yoo, H.-J. Lee, J. H. Lee, and Y.-G. Kwon, “Evaluation of Pain and Ultrasonography on Shoulder in Poliomyelitis Wheelchair Basketball Players,” The Korean Journal of Sports Medicine, vol. 32, no. 1, p. 20, 2014, doi: 10.5763/KJSM.2014.32.1.20.
  82. M. S. Sodhi and C. S. Tang, “Determining supply requirement in the sales-and-operations-planning (S&OP) process under demand uncertainty: A stochastic programming formulation and a spreadsheet implementation,” Journal of the Operational Research Society, vol. 62, no. 3, pp. 526–536, 2011, doi: 10.1057/JORS.2010.93.
  83. P. Beske, A. Land, and S. Seuring, “Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature,” Int J Prod Econ, vol. 152, pp. 131–143, 2014, doi: 10.1016/j.ijpe.2013.12.026.
  84. A. U. Apte, R. G. Rendon, and J. Salmeron, “An optimization approach to strategic sourcing: A case study of the United States Air Force,” Journal of Purchasing and Supply Management, vol. 17, no. 4, pp. 222–230, Dec. 2011, doi: 10.1016/j.pursup.2011.03.002.
  85. M. A. Waller and S. E. Fawcett, “Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management,” Journal of Business Logistics, vol. 34, no. 2, pp. 77–84, 2013, doi: 10.1111/JBL.12010.
  86. F. Castiglione, “Agent-Based Modeling and Simulation, Introduction to”, doi: 10.1007/978-1-0716-0368-0_13.
  87. A. Alibrahim and S. Wu, “Modelling competition in health care markets as a complex adaptive system: an agent-based framework,” Health Systems, vol. 9, no. 3, pp. 212–225, Jul. 2020, doi: 10.1080/20476965.2019.1569480.
  88. G. Fredson, B. Adebisi, O. B. Ayorinde, E. C. Onukwulu, and O. Adediwin, “Maximizing Business Efficiency through Strategic Contracting: Aligning Procurement Practices with Organizational Goals,” International Journal of Social Science Exceptional Research, vol. 1, no. 1, pp. 1–15, 2022.
  89. D. C. Anaba, M. O. Agho, E. C. Onukwulu, and P. I. Egbumokei, “Conceptual Model for Integrating Carbon Footprint Reduction and Sustainable Procurement in Offshore Energy Operations,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 4, 2022.
  90. G. Fredson, B. Adebisi, O. B. Ayorinde, E. C. Onukwulu, and O. Adediwin, “Enhancing Procurement Efficiency through Business Process Re-Engineering: Cutting-Edge Approaches in the Energy Industry,” International Journal of Social Science Exceptional Research, vol. 1, no. 1, pp. 38–54, 2022.
  91. E. Ogbuefi, A. C. Mgbame, O. E. Akpe, A. A. Abayomi, and O. O. Adeyelu, “Data Democratization: Making Advanced Analytics Accessible for Micro and Small Enterprises,” International Journal of Management and Organizational Research, vol. 1, no. 1, pp. 199–212, 2022, doi: 10.54660/ijmor.2022.1.1.199-212.
  92. O. M. Oluoha, A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. Orieno, “Development of a Compliance-Driven Identity Governance Model for Enhancing Enterprise Information Security,” Iconic Research and Engineering Journals, vol. 4, no. 11, pp. 310–324, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1702715
  93. A. A. Abayomi, A. C. Mgbame, O. E. Akpe, E. Ogbuefi, and O. O. Adeyelu, “Advancing Equity Through Technology: Inclusive Design of BI Platforms for Small Businesses,” Iconic Research and Engineering Journals, vol. 5, no. 4, pp. 235–250, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1708220
  94. E. C. Onukwulu, I. N. Dienagha, W. N. Digitemie, and P. I. Egbumokei, “Framework for Decentralized Energy Supply Chains Using Blockchain and IoT Technologies,” Iconic Research and Engineering Journals, vol. 4, no. 12, pp. 329–354, 2021.
  95. K. D. Thoben, S. A. Wiesner, and T. Wuest, “‘Industrie 4.0’ and smart manufacturing-a review of research issues and application examples,” International Journal of Automation Technology, vol. 11, no. 1, pp. 4–16, 2017, doi: 10.20965/IJAT.2017.P0004.
  96. B. Li, J. Li, W. Li, and S. A. Shirodkar, “Demand forecasting for production planning decision-making based on the new optimised fuzzy short time-series clustering,” Production Planning and Control, vol. 23, no. 9, pp. 663–673, Sep. 2012, doi: 10.1080/09537287.2011.584578.
  97. Y. He and X. Zhao, “Coordination in multi-echelon supply chain under supply and demand uncertainty,” Int J Prod Econ, vol. 139, no. 1, pp. 106–115, Sep. 2012, doi: 10.1016/j.ijpe.2011.04.021.
  98. B. I. Ashiedu, E. Ogbuefi, S. Nwabekee, J. C. Ogeawuchi, and A. A. Abayomi, “Leveraging Real-Time Dashboards for Strategic KPI Tracking in Multinational Finance Operations,” Iconic Research and Engineering Journals, vol. 4, no. 8, pp. 189–205, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1708537
  99. O. E. Akpe, A. C. Mgbame, E. Ogbuefi, A. A. Abayomi, and O. O. Adeyelu, “The Role of Adaptive BI in Enhancing SME Agility During Economic Disruptions,” International Journal of Management and Organizational Research, vol. 1, no. 1, pp. 183–198, 2022, doi: 10.54660/ijmor.2022.1.1.183-198.
  100. C. Eksoz, S. A. Mansouri, and M. Bourlakis, “Collaborative forecasting in the food supply chain: A conceptual framework,” Int J Prod Econ, vol. 158, pp. 120–135, Dec. 2014, doi: 10.1016/j.ijpe.2014.07.031.
  101. L. S. Komi, E. C. Chianumba, A. Yeboah, D. O. Forkuo, and A. Y. Mustapha, “Advances in Public Health Outreach Through Mobile Clinics and Faith-Based Community Engagement in Africa,” 2021.
  102. A. Y. Onifade, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and O. O. George, “Advances in Multi-Channel Attribution Modeling for Enhancing Marketing ROI in Emerging Economies,” Iconic Research And Engineering Journals, vol. 5, no. 6, pp. 360–376, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1708473
  103. O. M. Oluoha, A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. H. Orieno, “Development of a Compliance-Driven Identity Governance Model for Enhancing Enterprise Information Security,” Iconic Research and Engineering Journals, vol. 4, no. 11, pp. 310–324, 2021, [Online]. Available: https://www.irejournals.com/paper-details/1702715
  104. M. Luchs and K. S. Swan, “Perspective: The emergence of product design as a field of marketing inquiry,” Journal of Product Innovation Management, vol. 28, no. 3, pp. 327–345, May 2011, doi: 10.1111/J.1540-5885.2011.00801.X.
  105. S. Son, S. Na, and K. Kim, “Product data quality validation system for product development processes in high-tech industry,” Int J Prod Res, vol. 49, no. 12, pp. 3751–3766, Jun. 2011, doi: 10.1080/00207543.2010.486906.
  106. D. Bihani, B. C. Ubamadu, A. I. Daraojimba, G. O. Osho, and J. O. Omisola, “AI-Enhanced Blockchain Solutions: Improving Developer Advocacy and Community Engagement through Data-Driven Marketing Strategies,” Iconic Research And Engineering Journals, vol. 4, no. 9, 2021.
  107. A. Gunasekaran, Z. Irani, K. L. Choy, L. Filippi, and T. Papadopoulos, “Performance measures and metrics in outsourcing decisions: A review for research and applications,” Int J Prod Econ, vol. 161, pp. 153–166, Mar. 2015, doi: 10.1016/j.ijpe.2014.12.021.
  108. A. Ekici, “An improved model for supplier selection under capacity constraint and multiple criteria,” Int J Prod Econ, vol. 141, no. 2, pp. 574–581, Feb. 2013, doi: 10.1016/j.ijpe.2012.09.013.
  109. L. W. Chen, Y. C. Tseng, and K. Z. Syue, “Surveillance on-the-road: Vehicular tracking and reporting by V2V communications,” Computer Networks, vol. 67, pp. 154–163, Jul. 2014, doi: 10.1016/j.comnet.2014.03.031.
  110. E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, and E. D. Balogun, “Enhancing data security with machine learning: A study on fraud detection algorithms,” Journal of Data Security and Fraud Prevention, vol. 7, no. 2, pp. 105–118, 2021.
  111. B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, “A predictive modeling approach to optimizing business operations: A case study on reducing operational inefficiencies through machine learning,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, p. 21, 2021.
  112. B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, “Predictive Analytics for Demand Forecasting: Enhancing Business Resource Allocation Through Time Series Models,” Journal of Frontiers in Multidisciplinary Research, vol. 2, no. 01, pp. 32–42, 2021.
  113. I. Jacyna-Gołda and M. Izdebski, “The multi-criteria decision support in choosing the efficient location of warehouses in the logistic network,” Procedia Eng, vol. 187, pp. 635–640, 2017, doi: 10.1016/j.proeng.2017.04.424.

International Journal of Scientific Research in Science and Technology

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2022-04-30

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Volume 9, Issue 2, March-April-2022

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Research Articles

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Opeyemi Morenike Filani, John Oluwaseun Olajide, Grace Omotunde Osho "A Regression-Based Framework for Identifying Drivers of Transportation Cost Variability in Local Supply Chains" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 2, pp.672-692, March-April-2022.