Decision-Making for the Bakery Product Transportation usingLinear Programming

Authors

  • Muhammad Saqlain Departments of Mathematics, Faculty of Science Author

Keywords:

Transportation Problem; Decision-Making;Operational Research Model; Optimal Solution; Various Analytical Methods

Abstract

This research paper presents a case study of a food chain in Pakistan that aims to transport its bakery products from the manufacturing unit in Islamabad to remote northern regions of the country while minimizingthe total cost of distribution and transportation. The study employs various analytical methods, including linear programming, network optimization, and simulation modelling, to identify the optimal transportation solution that considers geographical barriers, infrastructural limitations, seasonal fluctuations, and regulatory constraints. The researchdelves into the underlying factors that contribute to the complexity and challenges of delivering goods to remote areas and explores the potential benefits of adopting a more holistic and integrated approach totransportation management. The study provides valuable insights and actionable recommendations for the Pakistani food chain and contributes to the broader field of transportation and logistics management.

Author Biography

  • Muhammad Saqlain, Departments of Mathematics, Faculty of Science

    Departments of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140,Thailand

References

Christopher, M. (2016).Logistics and Supply Chain Management(5th ed.). Pearson.

Coyle, J. J., Langley, C. J., Novack, R. A., &Gibson, B. (2016).Supply chain management: A logistics perspective(10th ed.). Cengage Learning.

Langley, C. J. (2016).The state of logistics outsourcing: 2016 Third-Party Logistics Study. Capgemini Consulting, Penn State University, and Penske Logistics.

Vidal, C. J., & Goetschalckx, M. (1997). Strategic production-distribution models: A critical review with emphasis on global supply chain models.European Journal of Operational Research, 98(1), 1-18.https://doi.org/10.1016/S0377-2217(96)00397-2.

Ahuja, R. K., Magnanti, T. L., & Orlin, J. B. (2014).Network flows: Theory, algorithms, and applications. Prentice Hall.Waters, D. (2010).Global logistics: New directions in supply chain management(6th ed.). Kogan Page.Notteboom, T., & Rodrigue, J. P. (2009). The future of containerization: Perspectives from maritime and inland freight distribution.GeoJournal, 74(1), 7-22.https://doi.org/10.1007/s10708-008-9187-9.

Stank, T. P., Goldsby, T. J., Vickery, S. K., &Savitskie, K. (2015). Logistics service providers:An empirical examination of the size-efficiency relationship.Journal of Business Logistics, 25(2), 179-201.https://doi.org/10.1002/j.2158-1592.2004.tb00177.x.

Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1-13.https://doi.org/10.1016/j.ejor.2015.12.023.

[10] Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain

management.Journal of Cleaner Production, 16(15), 1699-1710.https://doi.org/j.jclepro.2008.04.020.

[11] Crainic, T. G., & Laporte, G. (2013). Planningmodels for freight transportation.European Journal of Operational

Research, 97(3), 409-438.https://doi.org/10.1016/S0377-2217(97)00177-1.

[12] Nagurney, A. (2010). Supply chain network design: Optimization models, methodologies, and applications.

International Journal of Production Economics, 128(1), 1-12.https://doi.org/10.1016/j.ijpe.2010.07.025.

[13] Mentzer, J. T., Min, S., & Bobbitt, L. M. (2001). Toward a unified theory of logistics.International Journal of Physical

Distribution & Logistics Management, 31(2), 99-121.https://doi.org/10.1108/09600030110385815.

[14] Rushton, A., Oxley, J., & Croucher, P. (2014).The handbook of global supply chain management. Sage Publications.

[15] Halldórsson, Á., & Kovács, G. (2010). The sustainable agenda and energy efficiency: Logistics solutions and supply

chains in times of climate change.International Journal of Physical Distribution & Logistics Management, 40(1/2),5-13.https://doi.org/10.1108/09600031011020432.

[16] Abioye, O. F., Dulebenets, M. A. M., Kavoosi,Pasha, J., & Theophilus, O. (2019). Vessel ScheduleRecovery in Liner

Shipping: Modeling Alternative Recovery Options.IEEE Transactions on Intelligent Transportation Systems, 22(10),6420-6434.https://doi.org/10.1109/TITS.2020.2992120.

[17] Dulebenets, M. A. (2019). Minimizing the totalliner shipping route service costs via applicationof an efficient

Published

2026-07-21

How to Cite

(1)
Decision-Making for the Bakery Product Transportation UsingLinear Programming. SEMS 2026, 1 (1), 01-12.