Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{169254,
        author = {Tejaswini Shivaram and C Udayalakshmi},
        title = {Optimizing Overland Logistics through Human-Centered Engineering: Reducing Repetitive Tasks, Ensuring Transparency, and Promoting Fair Penalty Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {572-575},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169254},
        abstract = {This paper introduces a project designed to enhance logistics efficiency at Bosch by addressing repetitive tasks, maintaining transparency with Logistics Service Providers (LSPs), and implementing fair penalty applications. Using Power BI for real-time data visualization and a Python-based application for automated data validation, this solution supports an employee-oriented work environment that prioritizes authenticity, diligence, and transparency. Findings indicate that minimizing manual interventions and promoting fairness directly impacts both work environment quality and operational integrity. This project not only aligns with Bosch’s commitment to ethical engineering but also reflects broader goals in modern logistics to establish cooperative, supportive workplaces. Implications for logistics efficiency and ethical practices in engineering research are discussed.},
        keywords = {People-centered logistics, transparency, repetitive task reduction, penalty management, data automation, Bosch, LSP.},
        month = {November},
        }