scholarly journals An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products

2019 ◽  
Vol 11 (2) ◽  
pp. 460 ◽  
Author(s):  
Qi Wang ◽  
Dunbing Tang ◽  
Shipei Li ◽  
Jun Yang ◽  
Miguel Salido ◽  
...  
Keyword(s):  
Product Family ◽  
Optimization Approach ◽  
Low Carbon ◽  
Product Family Design ◽  
Ghg Emission ◽  
Environmental Benefit ◽  
Carbon Product ◽  
Parameters Selection ◽  
Total Profit ◽  
The One

With increasingly stringent environmental regulations on emission standards, enterprises and investigators are looking for effective ways to decrease GHG emission from products. As an important method for reducing GHG emission of products, low-carbon product family design has attracted more and more attention. Existing research, related to low-carbon product family design, did not take into account remanufactured products. Nowadays, it is popular to launch remanufactured products for environmental benefit and meeting customer needs. On the one hand, the design of remanufactured products is influenced by product family design. On the other hand, the launch of remanufactured products may cannibalize the sale of new products. Thus, the design of remanufactured products should be considered together with the product family design for obtaining the maximum profit and reducing the GHG emission as soon as possible. The purpose of this paper is to present an optimization model to concurrently determine product family design, remanufactured products planning and remanufacturing parameters selection with consideration of the customer preference, the total profit of a company and the total GHG emission from production. A genetic algorithm is applied to solve the optimization problem. The proposed method can help decision-makers to simultaneously determine the design of a product family and remanufactured products with a better trade-off between profit and environmental impact. Finally, a case study is performed to demonstrate the effectiveness of the presented approach.

scholarly journals A Concurrence Optimization Model for Low-Carbon Product Family Design and the Procurement Plan of Components under Uncertainty

2021 ◽  
Vol 13 (19) ◽  
pp. 10764
Author(s):  
Qi Wang ◽  
Peipei Qi ◽  
Shipei Li
Keyword(s):  
Optimization Model ◽  
Supplier Selection ◽  
Ghg Emissions ◽  
Product Family ◽  
Decision Variable ◽  
Low Carbon ◽  
Product Family Design ◽  
Ghg Emission ◽  
Order Allocation ◽  
Carbon Product

With the increase in pollution and people’s awareness of the environment, reducing greenhouse gas (GHG) emissions from products has attracted more and more attention. Companies and researchers are seeking appropriate methods to reduce the GHG emissions of products. Currently, product family design is widely used for meeting the diverse needs of customers. In order to reduce the GHG emission of products, some methods for low-carbon product family design have been presented in recent years. However, in the existing research, the related GHG emission data of a product family are given as crisp values, which cannot assess GHG emissions accurately. In addition, the procurement planning of components has not been fully concerned, and the supplier selection has only been considered. To this end, in this study, a concurrence optimization model was developed for the low-carbon product family design and the procurement plan of components under uncertainty. In the model, the relevant GHG emissions were considered as the uncertain number rather than the crisp value, and the uncertain GHG emissions model of the product family was established. Meanwhile, the order allocation of the supplier was considered as the decision variable in the model. To solve the uncertain optimization problem, a genetic algorithm was developed. Finally, a case study was performed to illustrate the effectiveness of the proposed approach. The results showed that the proposed model can help decision-makers to simultaneously determine the configuration of product variants, the procurement strategy of components, and the price strategies of product variants based on the objective of maximizing profit and minimizing GHG emission under uncertainty. Moreover, the concurrent optimization of low-carbon product family design and order allocation can bring the company greater profit and lower GHG emissions than just considering supplier selection in low-carbon product family design.

scholarly journals Bi-objective optimization for low-carbon product family design

2016 ◽  
Vol 41 ◽  
pp. 53-65 ◽  
Author(s):  
Qi Wang ◽  
Dunbing Tang ◽  
Leilei Yin ◽  
Miguel A. Salido ◽  
Adriana Giret ◽  
...  
Keyword(s):  
Product Family ◽  
Low Carbon ◽  
Product Family Design ◽  
Carbon Product

scholarly journals Two-Stage Pricing Decision for Low-Carbon Products Based on Consumer Strategic Behaviour

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Cheng Che ◽  
Zhihong Zhang ◽  
Xiaoguang Zhang ◽  
Yi Chen
Keyword(s):  
Low Carbon ◽  
Carbon Product ◽  
Two Stage ◽  
Strategic Consumers ◽  
Strategic Behaviour ◽  
Product Pricing ◽  
Pricing Decision ◽  
Total Profit ◽  
Time Changes ◽  
The Impact

The development of information technology has changed the pricing strategy of retailers, and consumers have also made strategic consumption behaviours accordingly. At the same time, changes in the environment have caused changes in the retailer’s products and raised consumers’ environmental awareness. This paper uses a two-stage pricing model to study the low-carbon product pricing decisions of retailers based on strategic consumers with low-carbon preferences in two situations. Through the analysis of low-carbon and ordinary products in two situations, the following conclusions can be drawn: (1) In a market where retailers only sell low-carbon products, product prices and profits increase as consumers’ green preference θ increases. (2) In the low-carbon product and ordinary product markets, the price and profit of low-carbon products increase with regard to consumers’ green preference θ . (3) In the second stage, when consumers’ intertemporal discount factor β for ordinary products is larger than that of low-carbon products, the retailer’s total profit is smaller. The research conclusion comprehensively analyses the impact of customer strategic behaviour on the two-stage pricing decision of green differentiated products, which provides a very important reference for retailers to make pricing optimization decisions.

OPTIMIZATION APPROACH FOR GREENHOUSE GAS TO GREEN ENERGY FOR A LOW CARBON REGION OF ISKANDAR MALAYSIA

2015 ◽  
Vol 75 (6) ◽  
Author(s):  
Saeed Isa Ahmed ◽  
Anwar Johari ◽  
Haslenda Hashim ◽  
Ramli Mat ◽  
Jeng Shiun Lim ◽  
...  
Keyword(s):  
Emission Reduction ◽  
Landfill Gas ◽  
Peninsular Malaysia ◽  
Green Energy ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Low Carbon ◽  
Steam Turbines ◽  
Ghg Emission ◽  
Steam Generation

Landfill gas (LFG) like any other greenhouse gases (GHG) is a threat to the environment; hence its mitigation through effective utilization is necessary. The objective of this study is to estimate the amount of LFG captured using IPCC methodology and then develop optimization model for the LFG utilization for green energy production for Iskandar Malaysia. Of the three MSW Scenarios considered, the most appropriate was Scenario MIX, giving projection of MSW to landfill ranging from 600,000 tons in 2010 to 711,000 tons in 2035 for Iskandar Malaysia. From this, a mean annual LFG capture of 21,672 tons was estimated. The Mixed Integer Programing model considered Scenario ST as the more appropriate of the two LFG Scenarios, favoring combined heat and power generation with steam turbines over other options. The optimal result yielded a mean annual electricity and steam generation of 20,588 MWh (2.3 MW) and 150 million MJ respectively. The mean electricity generation represents 0.16% and 0.02% of the maximum electricity demand for Iskandar Malaysia and Peninsular Malaysia respectively. Additionally, GHG emission reduction of 12,000 tons CO2 equivalent was achieved. The findings revealed the potentials in LFG capture from the case study in terms of green energy and GHG emission reduction for sustainable development.

scholarly journals Regionalisation of needs to reduce GHG emission from agriculture in Poland

2020 ◽  
Vol 93 (3) ◽  
pp. 361-376
Author(s):  
Mariusz Kistowski ◽  
Paweł Wiśniewski
Keyword(s):  
Rural Areas ◽  
Local Level ◽  
Ghg Emissions ◽  
Agricultural Activity ◽  
Agricultural Activities ◽  
Low Carbon ◽  
Ghg Emission ◽  
Low Carbon Economy ◽  
The One ◽  
Carbon Economy

An important element in the local shaping of a low-carbon economy, as well as one of the key areas of activity in communal plans for its development should be rural areas and their related agricultural activities. This is due on the one hand to the significant share of agriculture in total greenhouse gas (GHG) emissions in Poland (on average about 8%, locally as much as 20-50%), and on the other hand to the high potential of rural areas to use their resources to increase carbon sequestration in biomass and soil, reduce GHG emissions, as well as use agricultural activity for the development of renewable energy. The paper, based on the results of mathematical modelling of GHG emission from agricultural sources in all Polish communes, attempts to regionalize the needs of integrating agriculture and rural areas into the development of low-carbon economy at the local level. For this purpose, the guiding factors for regionalisation of the needs for mitigation actions were determined, and a regionalisation of these needs as well as a typology of the distinguished regions were, consequently, developed. The regions with the most urgent needs for mitigation actions were indicated, as well as the directions of mitigation actions for particular types of regions.

Russian low carbon development strategy

2020 ◽  
pp. 51-74
Author(s):  
I. A. Bashmakov
Keyword(s):  
Economic Growth ◽  
Development Strategy ◽  
Low Carbon ◽  
Security Risk ◽  
Ghg Emission ◽  
Emission Mitigation ◽  
Russian Economy ◽  
The Russian Federation ◽  
Scenario Projections

The article presents the key results of scenario projections that underpinned the Strategy for long-term low carbon economic development of the Russian Federation to 2050, including analysis of potential Russia’s GHG emission mitigation commitments to 2050 and assessment of relevant costs, benefits, and implications for Russia’s GDP. Low carbon transformation of the Russian economy is presented as a potential driver for economic growth that offers trillions-of-dollars-worth market niches for low carbon products by mid-21st century. Transition to low carbon economic growth is irreversible. Lagging behind in this technological race entails a security risk and technological backwardness hazards.

Costs and Benefits of the Transition to Low-carbon Economyin Russia: Perspectives up to 2050

2014 ◽  
pp. 70-91 ◽  
Author(s):  
I. Bashmakov ◽  
A. Myshak
Keyword(s):  
Emission Reduction ◽  
High Probability ◽  
Ghg Emissions ◽  
Mitigation Measures ◽  
Low Carbon ◽  
Costs And Benefits ◽  
Ghg Emission ◽  
Research Groups ◽  
Emissions Mitigation ◽  
Very High

This paper investigates costs and benefits associated with low-carbon economic development pathways realization to the mid XXI century. 30 scenarios covering practically all “visions of the future” were developed by several research groups based on scenario assumptions agreed upon in advance. It is shown that with a very high probability Russian energy-related GHG emissions will reach the peak before 2050, which will be at least 11% below the 1990 emission level. The height of the peak depends on portfolio of GHG emissions mitigation measures. Efforts to keep 2050 GHG emissions 25-30% below the 1990 level bring no GDP losses. GDP impact of deep GHG emission reduction - by 50% of the 1990 level - varies from plus 4% to minus 9%. Finally, very deep GHG emission reduction - by 80% - may bring GDP losses of over 10%.

scholarly journals Sustainable Energy-Related Infrastructure Development in the Mekong Subregion: Key Drivers and Policy Implications

2021 ◽  
Vol 13 (10) ◽  
pp. 5720
Author(s):  
Han Phoumin ◽  
Sopheak Meas ◽  
Hatda Pich An
Keyword(s):  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Power Plants ◽  
Policy Implications ◽  
Infrastructure Investment ◽  
Infrastructure Development ◽  
Low Carbon ◽  
Energy Access ◽  
Low Carbon Economy ◽  
The One

Many players have supported infrastructure development in the Mekong Subregion, bridging the missing links in Southeast Asia. While the influx of energy-related infrastructure development investments to the region has improved the livelihoods of millions of people on the one hand, it has brought about a myriad of challenges to the wider region in guiding investments for quality infrastructure and for promoting a low-carbon economy, and energy access and affordability, on the other hand. Besides reviewing key regional initiatives for infrastructure investment and development, this paper examines energy demand and supply, and forecasts energy consumption in the subregion during 2017–2050 using energy modeling scenario analysis. The study found that to satisfy growing energy demand in the subregion, huge power generation infrastructure investment, estimated at around USD 190 billion–220 billion, is necessary between 2017 and 2050 and that such an investment will need to be guided by appropriate policy. We argue that without redesigning energy policy towards high-quality energy infrastructure, it is very likely that the increasing use of coal upon which the region greatly depends will lead to the widespread construction of coal-fired power plants, which could result in increased greenhouse gas and carbon dioxide emissions.

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