Multi-objective green 4-dimensional transportation problems for damageable items through type-2 fuzzy random goal programming

Aktar, Md. Samim; De, Manoranjan; Mazumder, Sanat Kumar; Maiti, Manoranjan

doi:10.1016/j.asoc.2022.109681

Cited by 14 publications

(3 citation statements)

References 38 publications

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“…Giri and Roy (2022) solved a green 4DTP under the neutrosophic environment by using (α, β , γ) cut. Aktar et al (2022) formulated and solved crisp and uncertain 4DTP with incompatible and damageable items with type-2 variables.…”

Section: D 3d and 4d Transportation Problemsmentioning

confidence: 99%

Entropy Based Uncertain Multi Objective Multi-Item Fixed Charge 4D Transportation Problem Involving Breakable and Substitute Items

Bind,

Rani,

Goyal

2024

Preprint

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Decision-makers always strive to build transport systems that are both profitable and sustainable. Such systems seek to satisfy transportation requirements while minimizing adverse environmental effects and enhancing economic viability. Cost savings and the reduction of the environmental impact can be boosted by improving the supply chain management and freight transportation efficiency. In the transportation systems, energy conservation, waste reduction, recyclable packaging, plastic reduction and sustainable transportation can majorly contribute to the environmental sustainability. During transportation, several types of vehicles are used and generally these vehicles use different type of fuels like petrol, diesel, CNG etc. These vehicles emit green house gases that pollute the environment. In this study, an entropy based multi-objective 4D transportation problem with breakable and substitute items is developed and examined in order to maximize profit and reduce the carbon emissions. The items have been purchased at various depots at various prices. Different types of breakable/replacement items are delivered via different routes using various types of vehicles having varying capacities. All the parameters have been taken to be zigzag uncertain variables. Different models are developed in accordance with the management and the customer decisions regarding the substitutability of items. Chance-constrained programming has been used to transform the equivalent crisp models. All the models have been solved using the intuitionistic fuzzy programming technique using the LINGO 19.0 optimization solver with x64-based system type and Intel(R) Pentium(R) CPU 4405U @ 2.10GHz, 2100 Mhz, 2 Core(s) Processor. A real life based numerical problem is presented and solved to validate the concept and the results are compared with respect to the nature of the obtained solution.

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Section: D 3d and 4d Transportation Problemsmentioning

confidence: 99%

Entropy Based Uncertain Multi Objective Multi-Item Fixed Charge 4D Transportation Problem Involving Breakable and Substitute Items

Bind,

Rani,

Goyal

2024

Preprint

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“…Lo et al [33] proposed a performance calculation technique of the integrated multiple multi-attribute decision making (PCIM-MADM) and the modified indifference threshold-based attribute ratio analysis (ITARA) to solve transportation planning and the supplier selection problem. Aktar et al [34] developed a type-2 fuzzy random goal programming method for a multi-objective green four-dimensional transportation problem. Chhibber et al [35] proposed an intuitionistic fuzzy TOPSIS to solve a multi-objective nonlinear fuzzy transportation and manufacturing problem.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of the Multimodal Routing Problem Using the Adaptive ε-Constraint Method and Modified TOPSIS with the D-CRITIC Method

Maneengam

2023

Sustainability

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This paper proposes a multi-criteria decision-making approach for the multimodal routing problem (MRP) of bulk transportation in Thailand to minimize the total cost, transportation time, and total carbon dioxide-equivalent (CO2e) emissions simultaneously. The proposed approach has three phases: The first phase is generating all nondominated solutions using Kirlik and Sayin’s adaptive ε-constraint method. In the second phase, the Distance Correlation-based Criteria Importance Through Inter-criteria Correlation (D-CRITIC) method is used to determine the weight of each objective function and assign it to the modified technique for order of preference by similarity to ideal solution (modified TOPSIS) model in next phase. The third phase consists of ranking Pareto solutions obtained from the first phase using the modified TOPSIS. This proposed approach is applied to a real-world problem to enable the selection of the best route for transporting goods from the anchorage area in the Gulf of Thailand to the destination factory throughout a multimodal transportation network in Thailand. The computational results indicate that the proposed approach is superior to the current approach utilizing the ε-constraint method (ECM) regarding the number of Pareto solutions obtained and the proportion of computational time to the number of Pareto solutions obtained. Finally, the proposed method can solve the MRP with three or more objective functions and provide a multimodal route selection approach that is suitable for decision makers to offer a multimodal route to customers in the negotiation process for outsourcing transportation.

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“…Vibahakar et al [29] studied the financial performances of the Indian construction companies using exploratory factor analysis. GP model is simple yet powerful and has been applied in healthcare [30], [31], food and beverages [32], energy [33], [34], logistics and transportation [35], [36], portfolio optimization [37], [38] and education [39]. This paper shall examine the financial performances of the construction companies with GP model.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Performance of Construction Companies using Goal Programming Model

Lam,

Lee,

Lam

et al. 2023

E3S Web Conf.

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The construction industry is the driver to the social and economic development of a country. However, the construction industry is capital intensive and resource-reliance with high risk. These characteristics of the construction industry show high vulnerability to financial uncertainties. Therefore, this paper aims to examine the financial performance of the construction companies in Malaysia with goal programming (GP) model. This paper found that ECONBHD, GADANG, and MELATI have high liabilities while GADANG and MELATI have low profits. The powerful GP model has highlighted that the construction companies have high liquidity and solvency risks and could face problems to sustain their operations. This study could help the companies to determine the decremental and incremental values to reach the benchmark values for better financial performance.

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Multi-objective green 4-dimensional transportation problems for damageable items through type-2 fuzzy random goal programming

Cited by 14 publications

References 38 publications

Entropy Based Uncertain Multi Objective Multi-Item Fixed Charge 4D Transportation Problem Involving Breakable and Substitute Items

Entropy Based Uncertain Multi Objective Multi-Item Fixed Charge 4D Transportation Problem Involving Breakable and Substitute Items

Multi-Objective Optimization of the Multimodal Routing Problem Using the Adaptive ε-Constraint Method and Modified TOPSIS with the D-CRITIC Method

Optimizing the Performance of Construction Companies using Goal Programming Model

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