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
- Sudheer Choudari, K. Rajasekhar, Ch. Sudheer, Comparative study of the foundation model of a 220 kV transmission line tower with different footing steps - Finite element analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Saba Naaz, K.B. Shiva Kumar, Integrated deep learning classification of Mudras of Bharatanatyam: A case of hand gesture recognition , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- M. Iniyan, A. Banumathi, The WBANs: Steps towards a comprehensive analysis of wireless body area networks , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- RENA MEHTA, ECO DESIGN IN TEXTILE AND CLOTHING , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
- Sivakumar S, Rajasekaran Kondareddy, Kalyani Ayyemperumal, Building SaaS solutions using microsoft azure for achieving safe and secure tax related software , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- L. Vamsi Narasimha Rao, P.S.Prakash, M.Veera Kumari, Improvement of power system operation using a novel hybrid optimization method for optimal allocation of facts devices in radial transmission line , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ashwani Pandey, Sanjay Madan, Kumari Sandhiya, Ruchi Sharma, Akansha Raturi, Ashmita Bhatt, Naveen Gaurav, Comparison of Antioxidant, Phytochemical Profiling of Bacopa monnieri (Brahmi) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- N Archana, R Aravind Babu, Fault-tolerant reconfigurable second-life battery system using cascaded DC- DC converter , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Vaibhav, Raj K Tiwari, Low power three-stage OTA using reverse nested frequency compensation without nulling resistor , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Nilesh M. Patil, P M. Krishna, G. Deena, C Harini, R.K. Gnanamurthy, Romala V. Srinivas, Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 18 19 20 21 22 23 24 25 26 27 > >>
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

