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Constrained FC 4D MITPs for Damageable Substitutable and Complementary Items in Rough Environments

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  • Sharmistha Halder Jana

    (Department of Mathematics, Midnapore College (Autonomous), Midnapore 721101, India)

  • Biswapati Jana

    (Department of Computer Science, Vidyasagar University, Midnapore 721102, India)

  • Barun Das

    (Department of Mathematics, Sidho Kanho Birsha University, Purulia 723104, India)

  • Goutam Panigrahi

    (Department of Mathematics, National Institute of Technology, Durgapur 713209, India)

  • Manoranjan Maiti

    (Department of Mathematics, Vidyasagar University, Midnapore 721102, India)

Abstract

Very often items that are substitutable and complementary to each other are sent from suppliers to retailers for business. In this paper, for these types of items, fixed charge (FC) four-dimensional (4D) multi-item transportation problems (MITPs) are formulated with both space and budget constraints under crisp and rough environments. These items are damageable/breakable. The rates of damageability of the items depend on the quantity transported and the distance of travel i.e., path. A fixed charge is applied to each of the routes (independent of items). There are some depots/warehouses (origins) from which the items are transported to the sales counters (destinations) through different conveyances and routes. In proposed FC 4D-MITP models, per unit selling prices, per unit purchasing prices, per unit transportation expenditures, fixed charges, availabilities at the sources, demands at the destinations, conveyance capacities, total available space and budget are expressed by rough intervals, where the transported items are substitutable and complementary in nature. In this business, the demands for the items at the destinations are directly related to their substitutability and complementary natures and prices. The suggested rough model is converted into a deterministic one using lower and upper approximation intervals following Hamzehee et al. as well as Expected Value Techniques. The converted model is optimized through the Generalized Reduced Gradient (GRG) techniques using LINGO 14 software. Finally, numerical examples are presented to illustrate the preciseness of the proposed model. As particular cases, different models such as 2D, 3D FCMITPs for two substitute items, one item with its complement and two non substitute non complementary items are derived and results are presented.

Suggested Citation

  • Sharmistha Halder Jana & Biswapati Jana & Barun Das & Goutam Panigrahi & Manoranjan Maiti, 2019. "Constrained FC 4D MITPs for Damageable Substitutable and Complementary Items in Rough Environments," Mathematics, MDPI, vol. 7(3), pages 1-26, March.
  • Handle: RePEc:gam:jmathe:v:7:y:2019:i:3:p:281-:d:215358
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    References listed on IDEAS

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    1. Manerba, Daniele & Mansini, Renata & Riera-Ledesma, Jorge, 2017. "The Traveling Purchaser Problem and its variants," European Journal of Operational Research, Elsevier, vol. 259(1), pages 1-18.
    2. Kowalski, Krzysztof & Lev, Benjamin, 2008. "On step fixed-charge transportation problem," Omega, Elsevier, vol. 36(5), pages 913-917, October.
    3. Warren M. Hirsch & George B. Dantzig, 1968. "The fixed charge problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 15(3), pages 413-424, September.
    4. K. B. Haley, 1962. "New Methods in Mathematical Programming---The Solid Transportation Problem," Operations Research, INFORMS, vol. 10(4), pages 448-463, August.
    5. Mitali Sarkar & Sun Hur & Biswajit Sarkar, 2017. "Effects of Variable Production Rate and Time-Dependent Holding Cost for Complementary Products in Supply Chain Model," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-13, May.
    6. J W Chinneck & K Ramadan, 2000. "Linear programming with interval coefficients," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(2), pages 209-220, February.
    7. Jimenez, F. & Verdegay, J. L., 1999. "Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach," European Journal of Operational Research, Elsevier, vol. 117(3), pages 485-510, September.
    8. Sutapa Pramanik & K. Maity & Dipak Kumar Jana, 2018. "A multi-objective solid transportation problem with reliability for damageable items in random fuzzy environment," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 31(1), pages 1-23.
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