Neutrosophic Compromise Programming Approach for Multiobjective Nonlinear Transportation Problem with Supply and Demand Following the Exponential Distribution

• Autorzy: Ahmad Yusuf Adhami , Mohd Faizan , Anas M
• 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. (original abstract)

Słowa kluczowe

PL

Zbiory rozmyte; Optymalizacja wielokryterialna; Łańcuch dostaw; Problemy transportowe; Niepewność; Modele matematyczne

EN

Fuzzy sets; Multiple criteria optimization; Supply chain; Transport problems; Uncertainty; Mathematical models

• Czasopismo: Operations Research and Decisions
• Rocznik: 2022
• Tom: 32
• Numer: nr 3
• Strony: 1-15

Twórcy

autor

Ahmad Yusuf Adhami

• Aligarh Muslim University, Aligarh, India

autor

Mohd Faizan

• Aligarh Muslim Universty, Aligarh, India

autor

Anas M

• Aligarh Muslim Universty, Aligarh, India

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Identyfikatory

DOI

10.37190/ord220301