Neutrosophic compromise programming approach for multiobjective nonlinear transportation problem with supply and demand following the exponential distribution

• Autorzy: Adhami Ahmad Yusuf , Faizan Mohd , M Anas

Identyfikatory

DOI

10.37190/ord220301

• Języki publikacji: EN

Abstrakty

EN

Decision-making is a tedious and complex process. In the present competitive scenario, any incorrect decision may excessively harm an organization. Therefore, the parameters involved in the decision-making process should be looked into carefully as they may not always be of a deterministic nature. In the present study, a multiobjective nonlinear transportation problem is formulated, wherein the parameters involved in the objective functions are assumed to be fuzzy and both supply and demand are stochastic. Supply and demand are assumed to follow the exponential distribution. After converting the problem into an equivalent deterministic form, the multiobjective problem is solved using a neutrosophic compromise programming approach. A comparative study indicates that the proposed approach provides the best compromise solution, which is significantly better than the one obtained using the fuzzy programming approach.

Słowa kluczowe

EN

fuzzy approach; multiobjective optimization; supply chain; transportation; uncertainty

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2022
• Tom: Vol. 32, No. 3
• Strony: 1--15
• Opis fizyczny: Bibliogr. 34 poz.

Twórcy

autor

Adhami Ahmad Yusuf

• Department of Statistics and Operations Research, Aligarh Muslim Universty, Aligarh, India

• https://orcid.org/0000-0002-6087-2439

autor

Faizan Mohd

• Department of Statistics and Operations Research, Aligarh Muslim Universty, Aligarh, India

• https://orcid.org/0000-0003-3924-6502

autor

M Anas

• Department of Statistics and Operations Research, Aligarh Muslim Universty, Aligarh, India

• https://orcid.org/0000-0002-4764-6154

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).