A two-stage optimization model for relief distribution to disaster survivors under two-fold uncertainty Palash Sahoo Supply Chain Analytics, 2024 Disasters are unforeseen occurrences requiring extensive transport deployment to support and relieve victims. Sometimes, this transportation is not feasible directly from some supply points to some destination points. Due to this tragedy, it is unclear precisely what is available at supply points, what is needed at destinations, how much transportation capacity there is, and what the routes are like. In this study, we investigate a two-stage multi-item fixed charge four-dimensional transportation problem using the concept of big data theory under the two-fold uncertainties. Here, the model’s parameters such as unit transportation costs, availabilities of items at the suppliers, fixed charges, capacities of conveyances, and demands of the items at the retailers are considered type-2 zigzag uncertain variables. Using big data theory and based on uncertain programming theory, two novel uncertain models are developed such as chance-constrained programming and expected value programming model. These two uncertain models transformed into the deterministic form via uncertainty inverse distribution theory. A critical value based reduction method with three categories (i.e., expected value, pessimistic value, and optimistic value) is applied to reduce the type-2 zigzag uncertain variable to the type-1 zigzag uncertain variable. The genetic algorithm and particle swarm optimization techniques have been proposed to find the optimal solution for the two deterministic models. The efficiency of our proposed approach is demonstrated with a real-life numerical example.
Comparative study on credibility measures of type-2 and type-1 fuzzy variables and their application to a multi-objective profit transportation problem via goal programming Dipak Kumar Jana, Palash Sahoo, Laszlo T. Koczy International Journal of Transportation Science and Technology, 2017 In real world applications supply, demand and transportation costs per unit of the quantities in multi-objective transportation problems may be hardly specified accurately because of the changing economic and environmental conditions. It is also significant that the time required for transportation should be minimized. In this paper, we have presented three reduction methods for a type-2 triangular fuzzy variable (T2TrFV) by adopting the critical value (CV). Three generalized expected values (optimistic, CV and pessimistic) are derived for T2TrFVs with some special cases. Then a multi-objective profit transportation problem (MOPTP) with fixed charge (FC) cost has been formulated and solved in type-2 fuzzy environment. Unit transportation costs, FC, selling prices, unit transport times, loading and unloading times, total supply capacities and demands are all considered as triangular Type-2 fuzzy numbers. The MOPTP has been converted into a single objective by using the goal programming technique and the weighted sum method. The deterministic model is then solved using the Generalized Reduced Gradient method Lingo 14.0. Numerical experiments with some sensitivity analysis are illustrated the application and effectiveness of the proposed approaches.
RECENT SCHOLAR PUBLICATIONS
A novel multi-objective optimization framework for green and resilient transportation under uncertainty P Sahoo, BK Dey, C Jana, GW Weber Computers & Industrial Engineering, 111985 , 2026 2026
A Real-Life-Based Optimization Model with Reduction Approach of Type-2 Uncertain Variables Under a Natural Disaster Scenarios P Sahoo Fuzzy Logic in Real Life Scenarios, 1-40 , 2026 2026
The Ranking Function-Based Defuzzification Technique and Application of Type-2 Fuzzy Logic to Study a Triple Goal-Based 4D-Transportation Problem with Carbon Emission Effect P Sahoo Applications of Fuzzy Logic in Decision Making and Management Science, 379-410 , 2025 2025 Citations: 2
A two-stage optimization model for relief logistics and distribution to disaster survivors under two-fold uncertainty P Sahoo Supply Chain Analytics 8, 100079 , 2024 2024 Citations: 5
Solution of a single-objective based three-stage 4DTP model with information crowdsourcing under disaster relief scenario: a hybrid random type-2 fuzzy approach P Sahoo International Journal of System Assurance Engineering and Management 15 (10 … , 2024 2024 Citations: 3
The effect of COVID-19 pandemic on uncertain supply chain model with risk and visibility via expected value and chance constraint techniques P Sahoo Soft computing, 1-26 , 2023 2023 Citations: 10
Implement an uncertain vector approach to solve entropy-based four-dimensional transportation problems with discounted costs P Sahoo, DK Jana, S Pramanik, G Panigrahi International Journal of Machine Learning and Cybernetics 14 (1), 3-31 , 2023 2023 Citations: 18
A novel reduction method for type-2 uncertain normal critical values and its applications on 4D profit transportation problem involving damageable and substitute items P Sahoo, DK Jana, S Pramanik, G Panigrahi International Journal of Applied and Computational Mathematics 7 (4), 123 , 2021 2021 Citations: 13
Uncertain four-dimensional multi-objective multi-item transportation models via GP technique P Sahoo, DK Jana, S Pramanik, G Panigrahi Soft Computing 24 (22), 17291-17307 , 2020 2020 Citations: 17
Interval type-2 Fuzzy logic and its application to profit maximization solid transportation problem in mustard oil industry P Sahoo, DK Jana, G Panigrahi International Conference on Information Technology and Applied Mathematics … , 2019 2019 Citations: 10
Interval type-2 fuzzy logic and its application to occupational safety risk performance in industries DK Jana, S Pramanik, P Sahoo, A Mukherjee Soft Computing 23 (2), 557-567 , 2019 2019 Citations: 55
Comparative study on credibility measures of type-2 and type-1 fuzzy variables and their application to a multi-objective profit transportation problem via goal programming DK Jana, P Sahoo, LT Koczy International Journal of Transportation Science and Technology 6 (2), 110-126 , 2017 2017 Citations: 28
Monitoring of network traffic based on queuing theory SS Ray, P Sahoo ARPN Journal of Science and Technology 1 (1), 1-10 , 2011 2011 Citations: 5
The Monitoring of The Network Traffic Based on Queuing Theory P Sahoo M. Sc., National Institute of Technology, Orissa, India , 2011 2011 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Interval type-2 fuzzy logic and its application to occupational safety risk performance in industries DK Jana, S Pramanik, P Sahoo, A Mukherjee Soft Computing 23 (2), 557-567 , 2019 2019 Citations: 55
Comparative study on credibility measures of type-2 and type-1 fuzzy variables and their application to a multi-objective profit transportation problem via goal programming DK Jana, P Sahoo, LT Koczy International Journal of Transportation Science and Technology 6 (2), 110-126 , 2017 2017 Citations: 28
Implement an uncertain vector approach to solve entropy-based four-dimensional transportation problems with discounted costs P Sahoo, DK Jana, S Pramanik, G Panigrahi International Journal of Machine Learning and Cybernetics 14 (1), 3-31 , 2023 2023 Citations: 18
Uncertain four-dimensional multi-objective multi-item transportation models via GP technique P Sahoo, DK Jana, S Pramanik, G Panigrahi Soft Computing 24 (22), 17291-17307 , 2020 2020 Citations: 17
A novel reduction method for type-2 uncertain normal critical values and its applications on 4D profit transportation problem involving damageable and substitute items P Sahoo, DK Jana, S Pramanik, G Panigrahi International Journal of Applied and Computational Mathematics 7 (4), 123 , 2021 2021 Citations: 13
The effect of COVID-19 pandemic on uncertain supply chain model with risk and visibility via expected value and chance constraint techniques P Sahoo Soft computing, 1-26 , 2023 2023 Citations: 10
Interval type-2 Fuzzy logic and its application to profit maximization solid transportation problem in mustard oil industry P Sahoo, DK Jana, G Panigrahi International Conference on Information Technology and Applied Mathematics … , 2019 2019 Citations: 10
A two-stage optimization model for relief logistics and distribution to disaster survivors under two-fold uncertainty P Sahoo Supply Chain Analytics 8, 100079 , 2024 2024 Citations: 5
Monitoring of network traffic based on queuing theory SS Ray, P Sahoo ARPN Journal of Science and Technology 1 (1), 1-10 , 2011 2011 Citations: 5
Solution of a single-objective based three-stage 4DTP model with information crowdsourcing under disaster relief scenario: a hybrid random type-2 fuzzy approach P Sahoo International Journal of System Assurance Engineering and Management 15 (10 … , 2024 2024 Citations: 3
The Ranking Function-Based Defuzzification Technique and Application of Type-2 Fuzzy Logic to Study a Triple Goal-Based 4D-Transportation Problem with Carbon Emission Effect P Sahoo Applications of Fuzzy Logic in Decision Making and Management Science, 379-410 , 2025 2025 Citations: 2
The Monitoring of The Network Traffic Based on Queuing Theory P Sahoo M. Sc., National Institute of Technology, Orissa, India , 2011 2011 Citations: 2
A novel multi-objective optimization framework for green and resilient transportation under uncertainty P Sahoo, BK Dey, C Jana, GW Weber Computers & Industrial Engineering, 111985 , 2026 2026
A Real-Life-Based Optimization Model with Reduction Approach of Type-2 Uncertain Variables Under a Natural Disaster Scenarios P Sahoo Fuzzy Logic in Real Life Scenarios, 1-40 , 2026 2026