The multi-objective solid transshipment problem with preservation technology under fuzzy environment
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.1.14Keywords:
Solid transshipment problem, Multi objective transshipment problem, Preservation technology, Neutrosophic fuzzy environment, Weighted tchebycheff metrics programmingDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
To evaluate the efficiency of the preservation technology in the transshipment problem for transporting perishable products throughout the entire distribution system. A mathematical model for multi-objective solid transshipment problem incorporating preservation technology is formulated and a numerical example is provided to validate the effectiveness of this proposed model. To make the problem realistic, all the parameters are considered under a neutrosophic fuzzy environment. Weighted tchebycheff metrics programming has been used to obtain the Pareto-optimal solution of the proposed model. Comparative analysis has been done for multi-objective solid transshipment problems with and without preservation technology. Additionally, comparative analysis has been made for both multi-objective solid transshipment and multi-objective solid transportation problems with and without the inclusion of preservation technology. Also, comparative analysis has been made for multi-objective solid transportation problems with and without the inclusion of preservation technology under the Neutrosophic and Pythagorean fuzzy environments. Optimum Solutions obtained for a given numerical example using the prescribed method reveal that the multi-objective solid transshipment problem with preservation technology gives the minimum deterioration rate and higher transportation cost than the case without preservation technology. While the transportation cost increases, incorporating preservation technology into the transshipment problem enhances both the quality and quantity of perishable items in the distribution system. The efficiency of the multi-objective solid transshipment problem with preservation technology under a neutrosophic fuzzy environment is not yet investigated in the literature.Abstract
How to Cite
Downloads
Similar Articles
- Bhaskarjyoti Talukdar, Bandana Sharma, Prognostic Factors and Survival Outcomes in Esophageal Cancer Patients from North-East India: A Hospital-Based Cohort Study Using Log-Rank Test and Binary Logistic Regression Analysis , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Improving image quality assessment with enhanced denoising autoencoders and optimization methods , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Vijay Sharma, Nishu, Anshu Malhotra, An encryption and decryption of phonetic alphabets using signed graphs , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Desai Vishesh, Ritesh Patel, Assessing the influence of tax refunds and incentives on personal tax Reporting: A qualitative perspective , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Shriram N. Kargaonkar, Sushma Pradeep Chalke, Sunil Mahajan, Statistical Modeling of Consumer Preferences for Eco-friendly Digital Products: A Data-driven Approach Toward Sustainable Consumption in India , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- A. Appu, How does brand equity influence the intent of e-bike users? Evidence from Chennai city , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- R. Rita Jenifer, V. Sinthu Janita, Energy-aware Security Optimized Elliptic Curve Digital Signature Algorithm for Universal IoT Networks , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Shri Prakash, Sunil Kumar, Population Dynamics of Sarus Crane (Grus antigone antigone, Linn.) in and around Alwara Lake of district - Kaushambi (U.P.), India , The Scientific Temper: Vol. 7 No. 1&2 (2016): THE SCIENTIFIC TEMPER
- Neetu Singh, Ravindra Kumar Singh, Acute Toxicity of Sumithion Insecticide on Freshwater Catfish, Clarias batrachus (Linnaeus, 1758) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
<< < 44 45 46 47 48 49 50 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- U. Johns Praveena, J. Merline Vinotha, A New Approach for Solving Bilevel Fractional/quadratic Green Transportation Problem by Implementing AI with Multi Choice Parameters Under Uncertainty , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Fuzzy Supply Chain Model Evaluating Energy Management Systems under Imperfect Production and Uncertain Costs , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- U. Johns Praveena, J. Merline Vinotha, Multi-objective Solid Green Trans-shipment Problem for Cold Chain Logistics under Fuzzy Environment , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A resilient supply chain model integrating demand variability and carbon emissions in imperfect production systems , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, Optimization of a Lean Vendor–Buyer Supply Chain Model under Neutrosophic Fuzzy Environment with Transportation, Loading, and Unloading Considerations , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- U. Johns Praveena, J. Merline Vinotha, Bilevel Fractional/Quadratic Green Transshipment Problem by Implementing AI traffic control system with Multi Choice Parameters Under Fuzzy Environment , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Sustainable Vendor–Buyer Supply Chain Framework Integrating Energy Storage Systems and Green Investments with Incentive Policies under Demand Uncertainty , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper

