Modeling a Multi-Objective Vehicle Routing Problem for Monetary Operation in the Banking System

Heidari, Mojtaba; Rahbari, Misagh; Mohseni, Amir Reza

doi:10.1109/iiiec.2019.8720638

Cited by 8 publications

(5 citation statements)

References 5 publications

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“… Çelik et al, 2012 , Central Bank of the Islamic Republic of Iran, 2019 , Food and Agriculture Organization of the United Nations, 2021 , Gilani et al, 2022 , Hameedu, 2014 , Heidari et al, 2019 , Kumar and Kansara, 2018 , Ministry of agriculture-Jahad, 2019 , Rahbari et al, 2022 , Rahbari et al, 2018 , Rahbari et al, 2022 , Seydanlou et al, 2022 , Singh et al, 2021 , xxxx , Vahdani et al, 2018 , World Health Organization, 2021 .…”

Section: Uncited Referencesmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

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Section: Uncited Referencesmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

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“…Many researchers have implemented their problem on a real case to show the applicability of their work (Jaigirdar et al 2022), which is also done in this research. Many studies that have addressed the problem of vehicle routing have considered a heterogeneous fleet of vehicles (Heidari et al 2019;Rahbari et al 2022b), which is also considered in this research. Sustainability has different dimensions that previous studies considered all or some of these features (Alemany et al 2021;Baghizadeh et al 2022).…”

Section: Research Gapmentioning

confidence: 99%

A novel multi-objective robust fuzzy stochastic programming model for sustainable agri-food supply chain: case study from an emerging economy

Rahbari

Khamseh

Mohammadi

2023

Environ Sci Pollut Res

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On the one hand, supply chain management of agri-food products under uncertain conditions has a significant impact on food security and, on the other hand, increases the profits of supply chain components. Moreover, considering the sustainability concepts leads to more social and environmental benefits. The present study investigates the canned food supply chain under uncertain conditions and sustainability concepts by considering strategic and operational decisions and different characteristics. The proposed model is a multi-echelon, multi-period, multi-product, multi-objective location-inventory-routing problem (LIRP) in which the vehicle fleet is considered heterogeneously. The objectives of this model are to (1) minimize costs, (2) minimize customer dissatisfaction, (3) maximize production throughput, and (4) maximize job opportunities. In this study, carbon cap and trade mechanism are used to minimize environmental damage. Robust fuzzy stochastic programming (RFSP) is employed to cope and control uncertainties. The multi-objective optimization problem is implemented on a real case and solved using the Torabi and Hassini (TH) method. The results of this study showed that with increasing confidence levels, the severity of the problem increased and the values of the objective functions worsened. Also, using the relative value of stochastic solution (RVSS) criterion demonstrated that the effect of utilizing the RFSP approach on the first and second objective functions was higher than that the nominal approach showed itself. Finally, sensitivity analysis is performed on two parameters: the selling price of products to foreign customers and the cost of purchasing products from farms. The results of this study showed that changing these two parameters had a significant effect on the first and second objective functions.

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“…Formula (15) indicates that on the same transportation route, it can pass through both large vehicles and small vehicles.…”

Section: Decision Variables Description Valuesmentioning

confidence: 99%

“…In [14], Muñoz-Villamizar et al designed an integer linear programming model for urban logistics, which solved the problem of logistics center positioning and distribution in cities and achieved a distance cost lower limit of 20.77%. In [15], Heidari et al proposed a mixed integer linear programming to solve the transportation problem of hazardous materials. In a small case with 2 nodes and 3 retailers, the solution only took 0.19 s. In [16], Shaerpour et al designed a multi-layer multi-objective mixed integer linear programming model to solve the management and transportation of medical waste, and demonstrated the effectiveness of the proposed model in a practical case in Tehran.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Location-Routing for Multi-Vehicle Combinations with Capacity Constraints Based on Binary Equilibrium Optimizers

Xi,

Lv,

et al. 2023

Axioms

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The Location-Routing Problem (LRP) becomes a more intricate subject when the limits of capacities of vehicles and warehouses are considered, which is an NP-hard problem. Moreover, as the number of vehicles increases, the solution to LRP is exacerbated because of the complexity of transportation and the combination of routes. To solve the problem, this paper proposed a Discrete Assembly Combination-Delivery (DACA) strategy based on, the Binary Equilibrium Optimizer (BiEO) algorithm, in addition, this paper also proposes a mixed-integer linear programming model for the problem of this paper. Our primary objective is to address both the route optimization problem and the assembly group sum problem concurrently. Our BiEO algorithm was designed as discrete in decision space to meet the requirements of the LRP represented by the DACA strategy catering to the multi-vehicle LRP scenario. The efficacy of the BiEO algorithm with the DACA strategy is demonstrated. through empirical analysis utilizing authentic data from Changchun City, China, Remarkably, the experiments reveal that the BiEO algorithm outperforms conventional methods, specifically GA, PSO, and DE algorithms, resulting in reduced costs. Notably, the results show the DACA strategy enables the simultaneous optimization of the LRP and the vehicle routing problem (VRP), ultimately leading to cost reduction. This innovative algorithm proficiently tackles both the assembly group sum and route optimization problems intrinsic to multi-level LRP instances.

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Modeling a Multi-Objective Vehicle Routing Problem for Monetary Operation in the Banking System

Cited by 8 publications

References 5 publications

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

A novel multi-objective robust fuzzy stochastic programming model for sustainable agri-food supply chain: case study from an emerging economy

Optimization of Location-Routing for Multi-Vehicle Combinations with Capacity Constraints Based on Binary Equilibrium Optimizers

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