An optimization model for green supply chain by regarding emission tax rate in incongruous vehicles

Eslamipoor, Reza

doi:10.1007/s40808-022-01470-y

Cited by 13 publications

(6 citation statements)

References 35 publications

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“…There are also studies that consider the incoordination of transport vehicles, dynamic carbon emission factors, and supply ratio in the green supply chain index. It is found that adding these indicators to the model can effectively reduce supply chain costs [43]. Based on economic and environmental goals in the supply chain model, another study built a supply chain that includes transportation cost, carbon emissions, industrial productivity and transportation time [44].…”

Section: A Construction Of Enterprise Greensupplychainand Preliminary...mentioning

confidence: 99%

Efficient Green Supply Chain Management for Transit Manufacturing Enterprises Integrating AHP, K-NN, and MILP in the Context of Sustainable Development

Wang

2024

IEEE Access

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At present, most research on supply chain network design only considers the horizontal game of commodity greenness of the supply chain, and does not consider the vertical cooperative mode, and does not consider the impact of their own economic development on the environment. Therefore, the green supply chain network of transshipment manufacturing enterprises is designed. Firstly, the index of green supply chain is optimized and a more comprehensive index system is developed. Then, the K-nearest neighbor and decision tree algorithms are used to pre-process the partner data, and the partner is double-screened according to the index. To solve the large error in judging a single weight factor, the compound weight method is used to integrate the weight factors in two dimensions. Finally, the branch-and-bound algorithm mixed integer linear programming is used to solve the quantity of goods transported by the partners and the specific distribution route. Through the experimental analysis, compared with the traditional supply chain model, the supply chain network designed by the research reduces the cost expenditure by 34.26%, the pollution by 30.25%, the transportation loss by 37.12%, the transportation distance by 42.45%, and the transportation time by 28.47. It can effectively realize the sustainable development of enterprises and reduce the pollution generated by enterprises. INDEX TERMS Green supply chain, K-nearest neighbor algorithm, Composite weight method, Sustainable development

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Section: A Construction Of Enterprise Greensupplychainand Preliminary...mentioning

confidence: 99%

Efficient Green Supply Chain Management for Transit Manufacturing Enterprises Integrating AHP, K-NN, and MILP in the Context of Sustainable Development

Wang

2024

IEEE Access

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“…The findings of studies demonstrated that in order for organizations to avoid punishment, regulation is the driving factor for RL activities. [64][65][66][67] Thus, we anticipate that: H5: Regulation drivers have a positive impact on the implementation of reverse logistics in enterprises.…”

Section: H3: Reputation Drivers Have a Positive Impact On The Impleme...mentioning

confidence: 99%

“…The findings of studies demonstrated that in order for organizations to avoid punishment, regulation is the driving factor for RL activities. 64 -67 Thus, we anticipate that:…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Drivers of the Reverse Logistics Implementation in Reducing Waste in Vietnam

2023

Environ�Health�Insights

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Reverse logistics systems are now acknowledged as being crucial for enterprises to enhance their overall financial and environmental performance, particularly in developing nations where they face more challenges on both fronts. The majority of researchers examined drivers and barriers to implementation in developed nations. This study aims to investigate the main factors that positively influence the practice of reverse logistics in a developing country such as Vietnam. The study employed a sample of 287 managers within 5 industries. According to the findings, 4 key factors influenced the reverse logistics implementation in developing countries: economic drivers, competitive drivers, outsourcing drivers, and environmental drivers. Regulation drivers and reputation drivers have little influence on reverse logistics performance, contrary to predictions. The findings help scholars in understanding the factors influencing reverse logistics operations in emerging nations. Furthermore, the findings demonstrate differences in the drivers of reverse logistics execution in developing and developed countries.

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“…Eslamipoor R. proposed a comprehensive model for inventory transportation planning that incorporates multiple products, multiple periods, and CO 2 emission considerations within a two-echelon framework. The problem focused on the deterministic and dynamic demands of retailers, where the supplier must adhere to delivery schedules and product quantities based on a vendor management inventory policy [30]. The environmental pollution factor is recognized as a significant influence in assessing and choosing a supplier.…”

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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An optimization model for green supply chain by regarding emission tax rate in incongruous vehicles

Cited by 13 publications

References 35 publications

Efficient Green Supply Chain Management for Transit Manufacturing Enterprises Integrating AHP, K-NN, and MILP in the Context of Sustainable Development

Efficient Green Supply Chain Management for Transit Manufacturing Enterprises Integrating AHP, K-NN, and MILP in the Context of Sustainable Development

Investigating the Drivers of the Reverse Logistics Implementation in Reducing Waste in Vietnam

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

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