A New Approach to Solving Transportation Problems: The Middle Cell Method
Keywords:
Transportation, challenges, model, most suitable, Middle cell, methodAbstract
This study centers on another method of solving transportation problems called the Middle Cell method (MCM). This is achieved by finding the optimal basic feasible solution through allocating as many units as possible equal to the minimum cost between available supply and demand through the center of the transportation table. Results from the numerical examples showed that the Middle-Cell method was optimal (especially when the rows and columns are not equal having an even number of rows and an odd number of columns or vice versa). When compared with other transportation techniques, the Middle cell method does better than the North-West corner method (NWCM), the North-East Corner method (NECM), the South-West Corner method (SWCM) and the South-East Corner method (SECM). Finally, this new approach competes favourably with the Least Cost method (LCM).
Published
Issue
Section
How to Cite
Most read articles by the same author(s)
- Njoku, Kevin Ndubuisi Chikezie, Okoli, Odilichukwu Christian., A Note On The Proofs Of Cramer’s Formula , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
Similar Articles
- Anorue, Onyinyechi Favour, Atuma, David Esther, A Mathematical Model of Gang Membership and Control , Communication In Physical Sciences: Vol. 9 No. 1 (2023): VOLUME 9 ISSUE 1
- Oladimeji Enock Oluwole, Umeh Emmanuel Chukwuebuka, Idundun Victory Toritseju, Koffa Durojaiye Jude , Obaje Vivian Onechojo , Petinrin Moses Omolayo , Adeleke Joshua Toyin, The performance analysis of a Wood-Saxon driven Quantum-Mechanical Carnot Engine , Communication In Physical Sciences: Vol. 11 No. 3 (2024): VOLUME 11 ISSUE 3
- Confidence Ifeoma Odoh, Nweze Rosemary Chika Nweze, Ukamaka Victoria Maduahonwu, Development of an Enhanced Predictive Maintenance Models for Industrial Systems using Deep Learning Techniques , Communication In Physical Sciences: Vol. 13 No. 1 (2026): VOLUME 13 ISSUE 1
- Iwuji, Anayo Charles, Okoroafor, Promise Izuchukwu, Owo Awa, Josephine Ezinne, Extended Goal Programming DASH Diet Plan for Stroke Patients , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Yusuf Mohammad Auwal, Hussaini Shuaibu, Muhammad Sani Isa, Study of Symmetric Nuclear Matter Properties in Non-linear Walecka Model via Relativistic Mean-field approximation at zero-temperature , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Ayomide Ayomikun Ajiboye, Muslihat Adejoke Gaffari, Onaara Enitan Obamuwagun, Predictive Analytics in Sport Management: Applying Machine Learning Models for Talent Identification and Team Performance Forecasting , Communication In Physical Sciences: Vol. 12 No. 7 (2025): VOLUME 12 ISSUE 7
- Isonguyo Michael Ukpong , Emmanuel Wilfred Okereke, Inverse Cube Root Transformation: Theory and Application to Time Series Data , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Samuel Omefe, Simbiat Atinuke Lawal, Sakiru Folarin Bello, Adeseun Kafayat Balogun, Itunu Taiwo, Kevin Nnaemeka Ifiora, AI-Augmented Decision Support System for Sustainable Transportation and Supply Chain Management: A Review , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Orjiocha, Samuel Ibezim, Excess Parameters of Binary Mixtures of Nitrobenzene-Dimethyl Sulphoxide (Nb-Dmso) , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Stella Mbanyeaku Ufearoh, Onyinyechi Uloma Akoh, Christian Odih, GC-MS Characterization and Anti-Anaemic/Haematological Activity of Ethanol Extract of Solanum Aethiopicum Leaves , Communication In Physical Sciences: Vol. 12 No. 1 (2024): VOLUME 12 ISSUE 1
You may also start an advanced similarity search for this article.



