A meta heuristic approach for reliable capacitated facility joint inventory-location problem with round-trip transportation under imperfect information of disruption in a Fuzzy environment

Delivand, Alireza Asadi; Moghadam, Shayan Shafiee; Jolai, Soroush; Aghsami, Amir; Jolai, Fariborz

doi:10.1051/ro/2022110

Cited by 4 publications

(3 citation statements)

References 58 publications

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“…The allocation of nodes for electric taxi 1 is [10,7,14,3,4,15,11,6] and for electric taxi 2 is [2,5,16,8,13,12,1,9]. The answer chromosome lists all the charging stations, but some charging stations may not need to be visited.…”

Section: The Answer Display Structure Of the Sa Algorithmmentioning

confidence: 99%

“…So the chromosome is rewritten as Figure 2. Therefore, the allocation of nodes for electric taxi 1 is [10,7,14,3,4,11,6] and for electric taxi 2 is [2, 5, 8, 13, 1, 9] [14].…”

Section: The Answer Display Structure Of the Sa Algorithmmentioning

confidence: 99%

“…Fossil energy is the largest source of carbon dioxide and greenhouse emissions, and one of the main global issues is decreasing greenhouse gas emissions [6]. The U.S. Environmental Protection Agency persuades suppliers and buyers to produce green products to decrease carbon emission [1].…”

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confidence: 99%

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A heterogeneous electric taxi fleet routing problem with recharging stations to maximize the company’s profit

et al. 2023

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During the past years, many kinds of research have been done in order to reduce the cost of transportation by using different models of the vehicle routing problem. The increase in the amount of pollution caused by vehicles and environmental concerns about the emission of greenhouse gases has led to the use of green vehicles such as electric vehicles in the urban transport fleet. The main challenge in using electric vehicles with limited battery capacity is their long recharging time. For this purpose, several recharging stations are considered in the transportation network so that if the battery needs to be recharged, the electric vehicle can recharge and complete its journey. On the other hand, due to the limited amount of the electric vehicle's energy, the fuel consumption of this fleet is highly dependent on their load, and it is necessary to consider their load in the planning. In this article, the problem of routing electric taxis is presented considering the economic and environmental aspects of implementing electric taxis for city services. Despite other studies that have only focused on reducing energy consumption or minimizing distance traveled by electric vehicles, for the first time, the problem of urban electric taxi routing has been modeled by considering different types of electric taxis with the aim of achieving the maximum profit of this business. The use of a heterogeneous fleet in this study leads to wider coverage of different types of demand. Therefore, a mathematical programming model is presented to formulate the problem. Then, several problem examples are designed and solved for validation purposes, and the simulated annealing algorithm (SA) will be introduced and used to solve large-scale problems.

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Section: The Answer Display Structure Of the Sa Algorithmmentioning

confidence: 99%

“…So the chromosome is rewritten as Figure 2. Therefore, the allocation of nodes for electric taxi 1 is [10,7,14,3,4,11,6] and for electric taxi 2 is [2, 5, 8, 13, 1, 9] [14].…”

Section: The Answer Display Structure Of the Sa Algorithmmentioning

confidence: 99%

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A heterogeneous electric taxi fleet routing problem with recharging stations to maximize the company’s profit

et al. 2023

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Optimal distribution and waste management of Covid-19 vaccines from vaccination centers’ satisfaction perspective – A fuzzy time window-based VRP

Maleki,

Hemmati,

Reza Abazari

et al. 2024

Transportation Research Part E: Logistics and Transportation Re

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Joint optimization of the inventory routing problem considering the recycling of broken bikes in the bike-sharing system

Wu,

Shu,

Wang

2024

RAIRO-Oper. Res.

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Bike-sharing system has become an indispensable element of sustainable urban transportation, effectively resolving the "last mile" transportation challenge for city dwellers. A major daily operational task in these systems is planning a fleet to rebalance the bikes over time, ensuring the optimal availability of bikes and docks to users. Recycling is also a daily work with the an increase in the number of broken bikes. However, rebalancing or recycling operation is always regarded as an independent tasks. They are separately studied in existing papers. Thus, this paper develops an operational strategy for recycling broken bikes during the rebalancing process, and studies the combination of the station inventory and vehicle routing problems. First, an inventory routing model is constructed with the aim of minimizing the total costs including procurement, expected user loss, inventory and transportation costs. Then, a two-stage iterative algorithm is developed with both exact and heuristic algorithms. We use real-world data from Capital Bikeshare to test our proposed model and approach, which shows the two-stage iterative algorithm is efficient and outperforms existing solutions in reducing total costs. Finally, the sensitivity analysis is performed on key parameters such as the vehicle’s capacity, unit penalty costs for customer dissatisfaction events, unit inventory holding costs and the observation period of rebalancing. It shows that enterprises can reduce the total cost by altering vehicle’s capacity, reducing the unit inventory holding costs or changing the observation period of rebalancing.

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A meta heuristic approach for reliable capacitated facility joint inventory-location problem with round-trip transportation under imperfect information of disruption in a Fuzzy environment

Cited by 4 publications

References 58 publications

A heterogeneous electric taxi fleet routing problem with recharging stations to maximize the company’s profit

A heterogeneous electric taxi fleet routing problem with recharging stations to maximize the company’s profit

Optimal distribution and waste management of Covid-19 vaccines from vaccination centers’ satisfaction perspective – A fuzzy time window-based VRP

Joint optimization of the inventory routing problem considering the recycling of broken bikes in the bike-sharing system

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