An integrated decision support system to achieve sustainable development in transportation routes with traffic flow

Babaei, Ardavan; Khedmati, Majid; Jokar, Mohammad Reza Akbari; Tirkolaee, Erfan Babaee

doi:10.1007/s11356-023-26644-8

Cited by 6 publications

(1 citation statement)

References 44 publications

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“…Goli et al [36] applied a goal programming method and robust optimization approach for an IoT-based sustainable supply chain network design with flexibility. Babaei et al [37] developed entropy-TOPSIS, Nash equilibrium points, and data envelopment analysis to solve the transportation route selection problem with traffic flow. Tirkolaee et al [38] developed Grey Wolf Optimization and Particle Swarm Optimization to solve a two-echelon multi-product location allocation routing 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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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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Innovative supply chain network design with two-step authentication and environmentally-friendly blockchain technology

Babaei,

Tirkolaee,

Ali

2024

Ann Oper Res

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Blockchain Technology (BT) has the potential to revolutionize supply chain management by providing transparency, but it also poses significant environmental and security challenges. BT consumes energy and emits carbon gases, affecting its adoption in Supply Chains (SCs). The substantial energy demand of blockchain networks contributes to carbon emissions and sustainability risks. Moreover, for secure and reliable transactions, mutual authentication needs to be established to address security concerns raised by SC managers. This paper proposes a tri-objective optimization model for the simultaneous design of the SC-BT network, considering a two-step authentication process. The model considers transparency caused by BT members, emissions of BT, and costs related to BT and SC design. It also takes into account uncertainty conditions for participating BT members in the SC and the range of transparency, cost, and emission targets. To solve the model, a Branch and Efficiency (B&E) algorithm equipped with BT-related criteria is developed. The algorithm is implemented in a three-level SC and produces cost-effective and environmentally friendly outcomes. However, the adoption of BT in the SC can be costly and harmful to the environment under uncertain conditions. It is worth mentioning that implementing the proposed algorithm from our article in a three-level SC case study can result in a significant cost reduction of over 16% and an emission reduction of over 13%. The iterative nature of this algorithm plays a vital role in achieving these positive outcomes.

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A decision support framework to evaluate the sustainability performance of urban road transportation

Babaei,

Khedmati,

Jokar

et al. 2023

Environ Sci Pollut Res

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An integrated decision support system to achieve sustainable development in transportation routes with traffic flow

Cited by 6 publications

References 44 publications

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

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

Innovative supply chain network design with two-step authentication and environmentally-friendly blockchain technology

A decision support framework to evaluate the sustainability performance of urban road transportation

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