Manuscript Number : SHISRRJ221221
Developing Tender Optimization Models for Freight Rate Negotiations Using Finance-Operations Collaboration
Authors(6) :-John Oluwaseun Olajide, Bisayo Oluwatosin Otokiti, Sharon Nwani, Adebanji Samuel Ogunmokun, Bolaji Iyanu Adekunle, Joyce Efekpogua Fiemotongha Freight rate negotiations are a critical lever in managing supply chain costs, yet traditional tendering practices often fall short due to siloed decision-making and insufficient integration of financial and operational insights. This paper presents a robust, interdisciplinary framework for developing tender optimization models through finance-operations collaboration. Drawing from current literature, the study critiques prevailing logistics procurement practices and highlights the limitations of isolated financial or operational strategies. It proposes a conceptual model that integrates key decision variables—such as volume commitments, carrier performance, and cost structures—with financial forecasts and operational constraints. Utilizing mathematical optimization techniques, including mixed-integer linear programming and simulation-based tools, the paper outlines a data-driven methodology for selecting optimal freight carriers. A case simulation illustrates how collaborative model development enhances negotiation outcomes, increases cost-efficiency, and builds supply chain resilience. The paper concludes with actionable insights for managers and identifies future research avenues, such as incorporating sustainability metrics and dynamic re-tendering algorithms, to strengthen sourcing strategies in volatile markets further.
John Oluwaseun Olajide Tender Optimization, Freight Rate Negotiation, Finance-Operations Collaboration, Logistics Procurement, Supply Chain Strategy, Optimization Models Publication Details Published in : Volume 5 | Issue 2 | March-April 2022 Article Preview
Lipton, USA
Bisayo Oluwatosin Otokiti
Department of Business and Entrepreneurship, Kwara State University
Sharon Nwani
Migo, Lagos, Nigeria;
Adebanji Samuel Ogunmokun
United Utilities, UK
Bolaji Iyanu Adekunle
Data Scientist, GSFEN Limited, Nigeria
Joyce Efekpogua Fiemotongha
Independent Researcher, Lagos, Nigeria
Date of Publication : 2022-03-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 136-149
Manuscript Number : SHISRRJ221221
Publisher : Shauryam Research Institute
URL : https://shisrrj.com/SHISRRJ221221