Green Investment Cost Optimization Model in the Supply Chain

Sim, Seungbae; Jung, Hosang

doi:10.4236/ajor.2013.36044

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Enterprises must fully consider the pollution and damage of products to the natural environment in all links of the value chain. According to the classification of value chain mentioned above, from the perspective of value chain theory, enterprise environmental cost control should start with internal and external value chains to form an enterprise environmental cost value chain, as shown in figure 1, to better implement environmental cost control [4,5].…”

Section: Definition Of Enterprise Environmental Costmentioning

confidence: 99%

Enterprise Green Construction Cost Control Strategy Based on BP Neural Network

2024

Advances in Transdisciplinary Engineering

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Most enterprises face the problem of insufficient environmental costs due to high investment and low profits in green construction. Therefore, this paper utilizes the advantages of neural networks to establish a green building construction cost estimation model based on BP neural networks. We analyze the problems in environmental cost accounting and control during the implementation of green construction, and obtain the engineering characteristic factors that affect cost control. Then, based on these characteristic factors, a suitable measure project cost prediction neural network model was constructed, which automatically extracts the regular relationship between engineering features and cost data from a large amount of past calculation data. Finally, a case study was conducted to estimate the environmental cost accounting system of a certain steel enterprise based on BP neural network. The analysis results indicate that the cost prediction model proposed in this article has better stability and can accurately estimate the cost of green buildings.

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Section: Definition Of Enterprise Environmental Costmentioning

confidence: 99%

Enterprise Green Construction Cost Control Strategy Based on BP Neural Network

2024

Advances in Transdisciplinary Engineering

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“…GT investment has been applied in that paper for saving the surroundings from pollution. Under an assumption that greenhouse gases are generated due to the production and transportation of product, Sim and Jung [46] planned to design a sustainable supply chain model. A relation between investment in GT and CO 2 concern profits has been taken into their research.…”

Section: Inventory Model With Gt Investmentmentioning

confidence: 99%

Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic

Barman

Pervin²,

Roy

2022

RAIRO-Oper. Res.

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Carbon and Sulfur dioxides emissions are the key issues of global warming that affects on human health. Emissions cap- and -trade policy is a key mechanism implemented in several countries to reduce the emissions. Nowadays, public gathering is restricted due to the pandemic situation caused by COVID-19. As a result, people are facing huge problems in their regular activities and lifestyle. During the lockdown periods, demands for few merchandises decrease and the deterioration rate increases. Moreover, because of the unavailability of raw materials and labours during the lockdown, shortages occur at the manufacturing company. Keeping these problems in mind, a multi-objective sustainable economic production quantity model is proposed with partially back-ordering shortages, in which the effects of sustainability are investigated. To handle the demand fluctuation throughout the current pandemic, emergency level dependent demand rate is assumed. To reduce greenhouse gases emissions and deterioration rate, investments in green technology and preservation technology efforts are used. The objectives of this study are to maximize the manufacturer’s profit and minimize the greenhouse gases emissions for producing green products. The multi-objective model is solved by utilizing the fuzzy goal programming approach. The mathematical model is illustrated by four numerical examples. The main finding of the work is that under both green and preservation technologies investments, a sustainable model with partially back-ordering shortages and lockdown level dependent demand rate decreases justifiable greenhouse gases emissions and increases the product’s greening level. The results indicate that the system profit is increased by 16.1% by investing in both preservation and green technology. Furthermore, a sensitivity analysis is performed along with some managerial insights for practitioners. Finally, the paper is ended with conclusions and future research tips.

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