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A Fuzzy Imperfect Production Inventory Model Based on Fuzzy Differential and Fuzzy Integral Method

Author

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  • Amalesh Kumar Manna

    (Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore 721102, India
    Department of Mathematics, The University of Burdwan, Burdwan 713104, India)

  • Leopoldo Eduardo Cárdenas-Barrón

    (Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., México 64849, Mexico)

  • Jayanta Kumar Dey

    (Department of Mathematics, Mahishadal Raj College, Mahishadal 721628, India)

  • Shyamal Kumar Mondal

    (Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore 721102, India)

  • Ali Akbar Shaikh

    (Department of Mathematics, The University of Burdwan, Burdwan 713104, India)

  • Armando Céspedes-Mota

    (Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., México 64849, Mexico)

  • Gerardo Treviño-Garza

    (Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., México 64849, Mexico)

Abstract

In the inventory theory, to treat the uncertainty, the fuzzy set concept is used in order to provide a feasible approach to deal with the uncertainty problem. In this research work, a fuzzy economic production quantity model with interactive fuzzy demands is proposed. In a production process, in the beginning, the system is assumed to be in a controlled state in which only perfect items are manufactured. Later, the manufacturing production process shifts to be an out-of-control-state system; producing both perfect and imperfect items simultaneously, this is considered as a fuzzy state. The defective production rate is also taken into account as a fuzzy state. Here, the selection process of produced items is realized during the production period. With the aim of studying the practical feasibility of the fuzzy economic production inventory model along with a sensitivity analysis of some parameters, different numerical examples are illustrated.

Suggested Citation

  • Amalesh Kumar Manna & Leopoldo Eduardo Cárdenas-Barrón & Jayanta Kumar Dey & Shyamal Kumar Mondal & Ali Akbar Shaikh & Armando Céspedes-Mota & Gerardo Treviño-Garza, 2022. "A Fuzzy Imperfect Production Inventory Model Based on Fuzzy Differential and Fuzzy Integral Method," JRFM, MDPI, vol. 15(6), pages 1-19, May.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:6:p:239-:d:825373
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    References listed on IDEAS

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