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A heuristic for obtaining better initial feasible solution to the transportation problem

Author

Listed:
  • Md. Ashraful Babu

    (International University of Business Agriculture and Technology)

  • M. A. Hoque

    (BRAC University)

  • Md. Sharif Uddin

    (Jahangirnagar University)

Abstract

Vogel’s Approximation Method (VAM) is known as the best algorithm for generating an efficient initial feasible solution to the transportation problem. We demonstrate that VAM has some limitations and computational blunders. To overcome these limitations we develop an Improved Vogel’s Approximation Method (IVAM) by correcting these blunders. It is compared with VAM on obtained initial feasible solutions to a numerical example problem. Reduction in the total transportation cost over VAM by IVAM is found to be 2.27%. Besides, we have compared IVAM with each of twelve previously developed methods including VAM on solutions to numerical problems. IVAM leads to the minimal total cost solutions to seven, better solutions to four and the same better solution to the remaining one. Finally, a statistical analysis has been performed over the results of 1500 randomly generated transportation problems with fifteen distinct dimensions, where each of them has 100 problems instances. This analysis has demonstrated better performance of IVAM over VAM by reducing the total transportation cost in 71.8% of solved problems, especially for large size problems. Thus IVAM outperforms VAM by providing better initial feasible to the transportation problem.

Suggested Citation

  • Md. Ashraful Babu & M. A. Hoque & Md. Sharif Uddin, 2020. "A heuristic for obtaining better initial feasible solution to the transportation problem," OPSEARCH, Springer;Operational Research Society of India, vol. 57(1), pages 221-245, March.
  • Handle: RePEc:spr:opsear:v:57:y:2020:i:1:d:10.1007_s12597-019-00429-5
    DOI: 10.1007/s12597-019-00429-5
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    References listed on IDEAS

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    1. Abhijit Baidya, 2019. "Stochastic supply chain, transportation models: implementations and benefits," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 432-476, June.
    2. Srikant Gupta & Irfan Ali & Aquil Ahmed, 2018. "Multi-objective capacitated transportation problem with mixed constraint: a case study of certain and uncertain environment," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 447-477, June.
    3. Firoz Ahmad & Ahmad Yusuf Adhami, 2019. "Total cost measures with probabilistic cost function under varying supply and demand in transportation problem," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 583-602, June.
    4. Sharma, R. R. K. & Sharma, K. D., 2000. "A new dual based procedure for the transportation problem," European Journal of Operational Research, Elsevier, vol. 122(3), pages 611-624, May.
    5. Juman, Z.A.M.S. & Hoque, M.A., 2014. "A heuristic solution technique to attain the minimal total cost bounds of transporting a homogeneous product with varying demands and supplies," European Journal of Operational Research, Elsevier, vol. 239(1), pages 146-156.
    6. Muwafaq Mohammed Alkubaisi, 2015. "Modified VOGEL Method to Find Initial Basic Feasible Solution (IBFS) Introducing a New Methodology to Find Best IBFS," Business and Management Research, Business and Management Research, Sciedu Press, vol. 4(2), pages 22-36, June.
    7. Kavita Gupta & Ritu Arora, 2017. "More for less method to minimize the unit transportation cost of a capacitated transportation problem with bounds on rim conditions," OPSEARCH, Springer;Operational Research Society of India, vol. 54(3), pages 460-474, September.
    8. Subhakanta Dash & S. P. Mohanty, 2018. "Uncertain transportation model with rough unit cost, demand and supply," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 1-13, March.
    9. M. Mathirajan & B. Meenakshi, 2004. "Experimental Analysis Of Some Variants Of Vogel'S Approximation Method," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 447-462.
    10. Liu, Shiang-Tai, 2003. "The total cost bounds of the transportation problem with varying demand and supply," Omega, Elsevier, vol. 31(4), pages 247-251, August.
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    1. M. Mathirajan & Sujan Reddy & M. Vimala Rani, 2022. "An experimental study of newly proposed initial basic feasible solution methods for a transportation problem," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 102-145, March.

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