A fuzzy multi-objective model for supplier selection to mitigate the impact of vehicle transportation gases and delivery time

Eslamipoor, Reza

doi:10.1007/s42488-022-00076-4

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…Future research could consider multi-objective optimization methods to generate sets of non-dominated solutions, providing more flexibility to decision makers [35] or incorporate uncertainty in the various planning stages [36]. Moreover, e-bike applicability indices [29] may be incorporated in the decision support model to evaluate routes in terms of rider comfort as well.…”

Section: Discussionmentioning

confidence: 99%

Last-Mile Logistics Network Design under E-Cargo Bikes

Papaioannou

Iliopoulou

Κεπαπτσόγλου

2023

Future Transportation

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E-cargo bikes, i.e., electric bicycles equipped with baskets for transporting goods, are perceived as an advantageous solution for urban last-mile logistics. Particularly for short distances and low volumes of goods, the use of e-cargo bikes is ideal in urban areas where access of conventional cars may be prohibited. In this context, this study presents an e-cargo bike routing model for urban deliveries. The problem is formulated as a Capacitated Vehicle Routing Problem (CVRP), which takes several aspects into account, such as restrictions on bicycle capacity, road grade and workload balancing. A mathematical model is constructed to solve the problem, and a Genetic Algorithm (GA) is applied. Results on a case study in Athens, Greece are presented and analyzed, highlighting the applicability of the model in real-world operations, yielding reasonable results in short computational times.

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Section: Discussionmentioning

confidence: 99%

Last-Mile Logistics Network Design under E-Cargo Bikes

Papaioannou

Iliopoulou

Κεπαπτσόγλου

2023

Future Transportation

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“…The environmental pollution factor is recognized as a significant influence in assessing and choosing a supplier. The suggested model aimed to achieve several objectives, including reducing supplier costs (covering total ordering and shortage costs), minimizing the receipt of low-quality goods from suppliers, minimizing delivery time, and mitigating the emission of environmental pollutants caused by vehicles [31]. Nilrit and Sampanpanish conducted tests on a chassis dynamometer in an emission lab to determine automobiles' greenhouse gas (GHG) emissions.…”

Section: Literature Reviewsmentioning

confidence: 99%

Optimization of Taxi Allocation for Minimizing CO2 Emissions Based on Heuristics Algorithms

et al. 2023

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Recently, the rapid climate change caused by increasing CO2 emissions has become a global concern. Efficient transportation systems are necessary to reduce CO2 emissions in cities. Taxi services are an essential part of the transportation system, both in urban areas with high demand and in rural areas with inadequate public transportation. Inefficient taxi services cause problems such as increased idle times, resulting in increased CO2 emissions. This study proposes a taxi allocation model that minimizes taxi idle time costs for efficient taxi service operation. We also propose three heuristic algorithms to solve the proposed model. At last, we conduct a case study by using real taxi data in Nagaoka, Japan. By comparing the three algorithms, the dynamic greedy algorithm produced the best result in terms of idle time cost and CPU time. The findings indicate that by minimizing idle time costs and reducing the number of taxis, it is possible to achieve a significant 81.84% reduction in CO2 emissions within the transportation sector. Further, in order to estimate the idle time costs the sensitivity of demand is considered.

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“…Finally, there is the contraction of disposable incomes of institutional sectors (Clemens and Veuger, 2020), particularly households, which brings further negative spillover on demand, triggering a negative income multiplier. The preventive actions based solely on social distancing (Barrios et al ., 2021) and lockdown have significant consequences in the social-economic system on the supply side, which could generate a selective change of firms operating in the markets (Eslamipoor, 2022), and the demand side (Lal et al ., 2020, 2021), with important repercussions on the level of prices (Rai and Garg, 2022; Iqbal et al ., 2022) and on the financial markets as well (Ghorbali et al ., 2022; Derbali et al ., 2021, 2022b, c). Restricting production activities to the use of inputs indirectly leads to a decline in demand for intermediate goods, labour and capital factors.…”

Section: Introductionmentioning

confidence: 99%

Investigating COVID-19 spillovers in the US economy with a dynamic CGE model

Ahmed

Socci

Deriu

et al. 2023

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PurposeThe recent COVID-19 is forcing governments to implement policies on a large scale to counter its spread. A central issue in the economic debate is the effective quantification of the impact that the policies may implicitly have on the economy. This study quantifies the effects of lockdown in the United States.Design/methodology/approach The study uses a dynamic computable general equilibrium (DCGE) model calibrated on a social accounting matrix (SAM). The lockdown policy is applied on the supply side, by using a reduction in the production according to the closing time of each industry. The reduction in the demand is also applied, throughout the contraction of the household consumption that is diversified by the commodities. In order to analyse the pure effect of the lockdown policy, the interventions by the policy makers are not considered in this study.FindingsThe results show an important contraction of productivity in the food industry, the real estate activities, the constructions and the general services.Originality/valueThe contraction produces a fall of the GDP for the whole period analysed, traced by the investments, which includes repercussions on the whole productive system, employment and income of the institutional sectors.

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A fuzzy multi-objective model for supplier selection to mitigate the impact of vehicle transportation gases and delivery time

Cited by 8 publications

References 25 publications

Last-Mile Logistics Network Design under E-Cargo Bikes

Last-Mile Logistics Network Design under E-Cargo Bikes

Optimization of Taxi Allocation for Minimizing CO2 Emissions Based on Heuristics Algorithms

Investigating COVID-19 spillovers in the US economy with a dynamic CGE model

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