scholarly journals Minimizing carbon emissions of the rice supply chain considering the size of deep tillage lands

Author(s):  
Jing Li ◽  
Ying Fang ◽  
Jianming Yang
Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 495
Author(s):  
Umakanta Mishra ◽  
Abu Hashan Md Mashud ◽  
Ming-Lang Tseng ◽  
Jei-Zheng Wu

This study investigated how greenhouse managers should invest in preservation and green technologies and introduce trade credit to increase their profits. We propose a supply chain inventory model with controllable deterioration and emission rates under payment schemes for shortage and surplus, where demand depends on price and trade credit. Carbon emissions and deterioration are factors affecting global warming, and many greenhouse managers have focused on reducing carbon emissions. Carbon caps and tax-based incentives have been used in many greenhouses to achieve such reduction. Because of the importance of reducing carbon emissions for developing a green supply chain, various studies have investigated how firms deal with carbon emission constraints. In this continuation, we have used green technology to curb the excessive emissions from the environment or make it clean from CO2. In a seller–buyer relationship, the seller can offer a trade credit period to the buyer to manage stock and stimulate demand. Deterioration may become a challenge for most firms as they are under time constraints control, and preservation technology could help. This study proposes three novel inventory strategies for a sustainable supply chain (full backorder, partial backorder, and no backorder), linking all these important issues. The solution optimizes total annual profit for inventory shortage or surplus. We conducted a numerical study with three examples to evaluate the model’s authenticity and effectiveness and demonstrate the solution technique. The deterioration and emission rates can be included in a trade credit policy to increase greenhouse profits. The results suggest that greenhouse managers could apply the proposed model to manage real-world situations.


2013 ◽  
Vol 291-294 ◽  
pp. 1407-1412 ◽  
Author(s):  
Liang Jie Xia ◽  
Dao Zhi Zhao ◽  
Bai Yun Yuan

In low carbon economy, carbon emissions permit has become a kind of resource; in the market economy system, new economic relations between enterprises have appeared, these characteristics make enterprise operation cost structure and profiting pattern changed. The paper reviews the previous literature on carbon footprint, production optimization theory individual enterprise and supply chain operation management with carbon emissions constraints. Then the paper put forward four worth further research directions: Carbon emission cost distribution and scientific measurement in supply chain; supply chain operation based on consumer behavior in Low Carbon Economy Era; optimizing the allocation of carbon emissions permit in supply chain; Dynamic Multi-period operation optimization of carbon efficient supply chain.


Significance Although low commodity prices deterred investment in recent years, this is changing as the market rallies. The creation of a regional electric vehicle (EV) supply chain straddling the Canada-US border has the potential to transform the Canadian mining sector while loosening China’s grip on the minerals used in high-performance batteries. Impacts Canada is the world’s eighth-largest cobalt producer and has significant copper, graphite and rare earth deposits. Fortune Minerals, which is developing a cobalt mine in Northwest Territories, has held funding talks with the US Export/Import Bank. First Cobalt is building North America’s only cobalt refinery to give battery makers an alternative source to the DRC. Several of the country’s mines are using cutting-edge technologies to reduce their carbon emissions.


2018 ◽  
Vol 10 (10) ◽  
pp. 3791 ◽  
Author(s):  
Daqing Wu ◽  
Jiazhen Huo ◽  
Gefu Zhang ◽  
Weihua Zhang

This paper aims to simultaneously minimize logistics costs and carbon emissions. For this purpose, a mathematical model for a three-echelon supply chain network is created considering the relevant constraints such as capacity, production cost, transport cost, carbon emissions, and time window, which will be solved by the proposed quantum-particle swarm optimization algorithm. The three-echelon supply chain, consisting of suppliers, distribution centers, and retailers, is established based on the number and location of suppliers, the transport method from suppliers to distribution centers, and the quantity of products to be transported from suppliers to distribution centers and from these centers to retailers. Then, a quantum-particle swarm optimization is described as its performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to balance the economic benefit and environmental effect.


2017 ◽  
Vol 117 (10) ◽  
pp. 2468-2484 ◽  
Author(s):  
Xu Chen ◽  
Xiaojun Wang

Purpose In the era of climate change, industrial organizations are under increasing pressure from consumers and regulators to reduce greenhouse gas emissions. The purpose of this paper is to examine the effectiveness of product mix as a strategy to deliver the low carbon supply chain under the cap-and-trade policy. Design/methodology/approach The authors incorporate the cap-and-trade policy into the green product mix decision models by using game-theoretic approach and compare these decisions in a decentralized model and a centralized model, respectively. The research explores potential behavioral changes under the cap-and-trade in the context of a two-echelon supply chain. Findings The analysis results show that the channel structure has significant impact on both economic and environmental performances. An integrated supply chain generates more profits. In contrast, a decentralized supply chain has lower carbon emissions. The cap-and-trade policy makes a different impact on the economic and environmental performances of the supply chain. Balancing the trade-offs is critical to ensure the long-term sustainability. Originality/value The research offers many interesting observations with respect to the effect of product mix strategy on operational decisions and the trade-offs between costs and carbon emissions under the cap-and-trade policy. The insights derived from the analysis not only help firms to make important operational and strategic decisions to reduce carbon emissions while maintaining their economic competitiveness, but also make meaningful contribution to governments’ policy making for carbon emissions control.


2020 ◽  
Vol 7 (4) ◽  
pp. 373
Author(s):  
Petrus Setya Murdapa ◽  
I. Nyoman Pujawan ◽  
Putu Dana Karningsih ◽  
Arman Hakim Nasution

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