Skip to main content
Log in

Time variant multi-objective linear fractional interval-valued transportation problem

  • Published:
Applied Mathematics-A Journal of Chinese Universities Aims and scope Submit manuscript

Abstract

This paper studies a time-variant multi-objective linear fractional transportation problem. In reality, transported goods should reach in destinations within a specific time. Considering the importance of time, a time-variant multi-objective linear fractional transportation problem is formulated here. We take into account the parameters as cost, supply and demand are interval valued that involved in the proposed model, so we treat the model as a multi-objective linear fractional interval transportation problem. To solve the formulated model, we first convert it into a deterministic form using a new transformation technique and then apply fuzzy programming to solve it. The applicability of our proposed method is shown by considering two numerical examples. At last, conclusions and future research directions regarding our study is included.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Y P Aneja, K P Nair. Bicriteria transportation problem, Management Science, 1979, 25(1): 73–78.

    Article  MathSciNet  MATH  Google Scholar 

  2. S K Bharati. Trapezoidal intuitionistic fuzzy fractional transportation problem, Soft Computing for Problem Solving, Springer, Singapore, 2019, 833–842.

    Google Scholar 

  3. G R Bitran, A G Novaes. Linear programming with a fractional objective function, Operations Research, 1973, 21(1): 22–29.

    Article  MathSciNet  MATH  Google Scholar 

  4. S S Chadha. Fractional programming with absolute-value functions, European Journal of Operational Research, 2002, 141(1): 233–238.

    Article  MathSciNet  MATH  Google Scholar 

  5. C T Chang. On the polynomial mixed 0–1 fractional programming problems, European Journal of Operational Research, 2001, 131(1): 224–227.

    Article  MathSciNet  MATH  Google Scholar 

  6. C T Chang. A goal programming approach for fuzzy multi-objective fractional programming problems, International Journal of Systems Science, 2009, 40(8): 867–874.

    Article  MathSciNet  MATH  Google Scholar 

  7. M Chakraborty, S Gupta. Fuzzy mathematical programming for multi objective linear fractional programming problem, Fuzzy Sets and Systems, 2002, 125(3): 335–342.

    Article  MathSciNet  MATH  Google Scholar 

  8. H Garg, A Mahmoodirad, S Niroomand. Fractional two-stage transshipment problem under uncertainty: application of the extension principle approach, Complex & Intelligent Systems, 2021, 1–16.

  9. A Goli, A Aazami, A Jabbarzadeh. Accelerated cuckoo optimization algorithm for capacitated vehicle routing problem in competitive conditions, International Journal of Artificial Intelligence, 2018, 16(1): 88–112.

    Google Scholar 

  10. A Gupta, S Khanna, M C Puri. A paradox in linear fractional transportation problems with mixed constraints, Optimization, 1993, 27(4): 375–387.

    Article  MathSciNet  MATH  Google Scholar 

  11. K Gupta, S R Arora. Linear plus linear fractional capacitated transportation problem with restricted flow, American Journal of Operations Research, 2013, 3(6): 581–588.

    Article  Google Scholar 

  12. S Gupta, H Garg, S Chaudhary. Parameter estimation and optimization of multi-objective capacitated stochastic transportation problem for gamma distribution, Complex & Intelligent Systems, 2020, 6(3): 651–667.

    Article  Google Scholar 

  13. G Guohua, H Yuda. Stability of majorly efficient points and solutions in multiobjective programming, Applied Mathematics, 1995, 10(3): 313–324.

    Article  MathSciNet  MATH  Google Scholar 

  14. H L Hitchcock. The distribution of a product from several sources to numerous localities, Studies in Applied Mathematics, 1941, 20(1–4): 224–230.

    MathSciNet  MATH  Google Scholar 

  15. M Jain, P K Saksena. Time minimizing transportation problem with fractional bottleneck objective function, Yugoslav Journal of Operations Research, 2012, 22(1): 115–129.

    Article  MathSciNet  MATH  Google Scholar 

  16. N Guzel, Y Emiroglu, F Tapci, C Guler, M Syvry. A solution proposal to the interval fractional transportation problem, Applied Mathematics & Information Sciences, 2012, 6(3): 567–571.

    MathSciNet  Google Scholar 

  17. X Jiuping. A kind of fuzzy linear programming problems based on interval-valued fuzzy sets, Applied Mathematics-A Journal of Chinese Universities, 2000, 15(1): 65–72.

    Article  MathSciNet  MATH  Google Scholar 

  18. L V Kantorovich. Mathematical methods of organizing and planning production, Management Science, 1960, 6(4): 366–422.

    Article  MathSciNet  MATH  Google Scholar 

  19. H G Kocken, I Emiroglu, C Guler, F Tasc, M Sivri. The fractional transportation problem with interval demand, supply and costs, AIP Conference Proceedings, 2013, 1557(1): 339–344.

    Article  Google Scholar 

  20. J S Kornbluth, R E Steuer. Goal programming with linear fractional criteria, European Journal of Operational Research, 1981, 8(1): 58–65.

    Article  MathSciNet  MATH  Google Scholar 

  21. Y F Li, B P Chen. Joint optimization traffic signal control for an urban arterial road, Applied Mathematics-A Journal of Chinese Universities, 2009, 24(2): 135–143.

    Article  MathSciNet  MATH  Google Scholar 

  22. C J Lin. Determining type II sensitivity ranges of the fractional assignment problem, Operations Research Letters, 2011, 39(1): 67–73.

    Article  MathSciNet  MATH  Google Scholar 

  23. S T Liu. The total cost bounds of the transportation problem with varying demand and supply, Omega, 2003, 31(4): 247–251.

    Article  Google Scholar 

  24. S T Liu. Fractional transportation problem with fuzzy parameters, Soft Computing, 2016, 20(9): 3629–3636.

    Article  Google Scholar 

  25. A Mahmoodirad, H Garg, S Niroomand. Solving fuzzy linear fractional set covering problem by a goal programming based solution approach, Journal of Industrial & Management Optimization, 2020, DOI: https://doi.org/10.3934/jimo.2020162.

  26. G Maity, D Mardanya, S K Roy, G W Weber. A new approach for solving dual-hesitant fuzzy transportation problem with restrictions, Sadhana, 2019, 44(4): 75.

    Article  MathSciNet  Google Scholar 

  27. G Maity, S K Roy. Solving multi-choice multi-objective transportation problem: a utility function approach, Journal of Uncertainty Analysis and Applications, 2014, 2: 11, DOI: https://doi.org/10.1186/2195-5468-2-11.

    Article  Google Scholar 

  28. G Maity, S K Roy. Solving multi-objective transportation problem with nonlinear cost and multichoice demand, International Journal of Management Science and Engineering Management, 2016, 11(1): 62–70.

    Article  Google Scholar 

  29. G Maity, S K Roy, J L Verdegay. Analyzing multimodal transportation problem and its application to artificial intelligence, Neural Computing and Applications, 2019, 32: 2243–2256.

    Article  Google Scholar 

  30. S Midya, S K Roy. Single-sink, fixed-charge, multi-objective, multi-index stochastic transportation problem, American Journal of Mathematical and Management Sciences, 2014, 33: 300–314.

    Article  Google Scholar 

  31. S Niroomand, H Garg, A Mahmoodirad. An intuitionistic fuzzy two stage supply chain network design problem with multi-mode demand and multi-mode transportation, ISA Transactions, 2020, 107: 117–133.

    Article  Google Scholar 

  32. R S Porchelvi, A Sheela. A linear fractional interval transportation problem with and without budgetary constraints, International Journal of Fuzzy Mathematical Archive, 2015, 9(2): 165–170.

    Google Scholar 

  33. B Radhakrishnan, P Anukokila. A compensatory approach to fuzzy fractional transportation problem, International Journal of Mathematics in Operational Research, 2014, 6(2): 176–192.

    Article  MathSciNet  MATH  Google Scholar 

  34. V Ravi, P J Reddy. Fuzzy linear fractional goal programming applied to refinery operations planning, Fuzzy Sets and Systems, 1998, 96(2): 173–182.

    Article  Google Scholar 

  35. S K Roy, G Maity, G W Weber. Multi-objective two-stage grey transportation problem using utility function with goals, Central European Journal of Operations Research, 2016, 25(2): 417–439.

    Article  MathSciNet  MATH  Google Scholar 

  36. S K Roy, G Maity. Minimizing cost and time through single objective function in multi-choice interval valued transportation problem, Journal of Intelligent & Fuzzy Systems, 2017, 32(3): 1697–1709.

    Article  MATH  Google Scholar 

  37. S K Roy, G Maity, G W Weber. Multi-objective two-stage grey transportation problem using utility function with goals, Central European Journal of Operations Research, 2017, 25(2): 417–439.

    Article  MathSciNet  MATH  Google Scholar 

  38. S K Roy, S Midya. Multi-objective fixed-charge solid transportation problem with product blending under intuitionistic fuzzy environment, Applied Intelligence, 2019, 49(10): 3524–3538.

    Article  Google Scholar 

  39. S K Roy, A Ebrahimnejad, J L Verdegay, S Das. New approach for solving intuitionistic fuzzy multi-objective transportation problem, Sadhana, 2018, 43(1): 3, DOI: https://doi.org/10.1007/s12046-017-0777-7.

    Article  MathSciNet  MATH  Google Scholar 

  40. E Schell. Distribution of s product by several properties, in: Proceedings of 2nd Symposium in Linear Programming, DCS/comptroller, HQ US Air Force, Washington DC, 1955, pp. 615–642.

    Google Scholar 

  41. S Schaible. Bibliography in fractional programming, Journal of Operations Research, 1982, 26(1): 211–241.

    MathSciNet  MATH  Google Scholar 

  42. I M Stancu-Minasian, B Pop. A method of solving fully fuzzified linear fractional programming problems, Journal of Applied Mathematics and Computing, 2008, 27(1–2): 227–242.

    MathSciNet  MATH  Google Scholar 

  43. M Sakawa. Interactive fuzzy decision-making for multiobjective linear fractional programming problems, Large Scale Systems, 1983, 5: 105–113.

    MathSciNet  MATH  Google Scholar 

  44. K Swarup. Linear fractional functional programming, Operations Research, 1964, 13(6): 1029–1036.

    Article  MATH  Google Scholar 

  45. M D Toksari. Taylor series approach to fuzzy multi-objective linear fractional programming, Information Sciences, 2008, 178(4): 1189–1204.

    Article  MathSciNet  MATH  Google Scholar 

  46. H Wolf. A parametric method for solving the linear fractional programming problem, Operations Research, 1985, 33(4): 835–841.

    Article  MathSciNet  MATH  Google Scholar 

  47. T H Wu. A note on a global approach for general 0–1 fractional programming, European Journal of Operational Research, 1997, 101(1): 220–223.

    Article  MATH  Google Scholar 

  48. C Xu, X M Xu, H F Wang. The fractional minimal cost flow problem on network, Optimization Letters, 2011, 5(2): 307–317.

    Article  MathSciNet  MATH  Google Scholar 

  49. E B Tirkolaee, A Goli, A Faridnia, M Soltani, G W Weber, G. W. Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms, Journal of Cleaner Production, 2020, 276: 122927.

    Article  Google Scholar 

  50. V F Yu, K J Hu, A Y Chang. An interactive approach for the multi-objective transportation problem with interval parameters, International Journal of Production Research, 2015, 53(4): 1051–1064.

    Article  Google Scholar 

  51. Y X Lin. A recognition problem in converting linear programming to network flow models, Applied Mathematics, 1993, 8(1): 76–85.

    Article  MathSciNet  MATH  Google Scholar 

  52. H J Zimmermann. Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems, 1978, 1(1): 45–55.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sankar Kumar Roy.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mardanya, D., Roy, S.K. Time variant multi-objective linear fractional interval-valued transportation problem. Appl. Math. J. Chin. Univ. 37, 111–130 (2022). https://doi.org/10.1007/s11766-022-4476-8

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11766-022-4476-8

MR Subject Classification

Keywords

Navigation