Environmental impact assessment and eco-friendly decision-making in civil structures

Kim, Sang Hyo; Choi, Moongoo; Mha, Ho Seong; Joung, Jung Yeun

doi:10.1016/j.jenvman.2013.03.045

Cited by 19 publications

(11 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the combination of AHP and LCA was claimed to be a consistent and efficient method to appraise construction proceedings in a sustainable manner. Also within this field, Kim et al [20] worked up an eco-friendly decision making process which enables the integration of Life Cycle Cost (LCC) and LCA in civil structures by means of an AHP model. Knoeri et al [21] conducted an AHP-based study to assess the attitude of construction stakeholders at the reuse of recycled mineral construction materials (RMCM) and the criteria in which is based their modus operandi in this respect.…”

Section: Single Approaches 21 Ahpmentioning

confidence: 99%

A review of application of multi-criteria decision making methods in construction

Jato-Espino

Castillo-López²,

Rodríguez-Hernández

et al. 2014

Automation in Construction

395

189

View full text Add to dashboard Cite

Construction is an area of study wherein making decisions adequately can mean the difference between success and failure. Moreover, most of the activities belonging to this sector involve taking into account a large number of conflicting aspects, which hinders their management as a whole. Multi-criteria decision making analysis arose to model complex problems like these. This paper reviews the application of 22 different methods belonging to this discipline in various areas of the construction industry clustered in 11 categories. The most significant methods are briefly discussed, pointing out their principal strengths and limitations. Furthermore, the data gathered while performing the paper are statistically analysed to identify different trends concerning the use of these techniques. The review shows their usefulness in characterizing very different decision making environments, highlighting the reliability acquired by the most pragmatic and widespread methods and the emergent tendency to use some of them in combination.

show abstract

Section: Single Approaches 21 Ahpmentioning

confidence: 99%

A review of application of multi-criteria decision making methods in construction

Jato-Espino

Castillo-López²,

Rodríguez-Hernández

et al. 2014

Automation in Construction

395

189

View full text Add to dashboard Cite

show abstract

“…These methods aim at identifying all the parameters that contribute to the preservation and protection of the natural environment or have other impacts such as human health, labour accidents (Daniel, Tsoulfas, Pappis, & Rachaniotis, 2004). EIA, one of the most popular tools for environmental risk assessment, has been broadly employed as proactive decision support tool to diminish or mitigate the potential impact connected with any developmental activity (Collins et al, 2013;Deng, Hu, Deng, & Mahadevan, 2014;Garraín & Lechó, 2014;Haichao, Wenling, Lahdelma, Pinghua, & Shuhui, 2013;Kim, Choi, Mha, & Joung, 2013;Liu, Sheu, & Tseng, 2013;Momtaz & Kabir, 2013;Phillips, 2013;Salbu et al, 2013;Salomons & Hoberg, 2014).…”

Section: Introductionmentioning

confidence: 99%

Environmental impact assessment based on group decision-making methods in mining projects

Rikhtegar

Mansouri

Oroumieh

et al. 2014

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

Mining operations usually comprise a spread spectrum of environmental challenges, which are often unique to each mine site. This is due to the fact that mining activities, directly or indirectly, have an adverse impact on environment and ecology. For this reason, the environmental impact assessment (EIA) process has been developed for evaluation of the possible impact of mine development and operations on the environment, including the natural, social and economic aspects. In this article, an EIA methodology based on analytic network process and fuzzy simple additive weight (SAW) is proposed to formulate the environmental risks pertaining to mining projects. In the system of the proposed model, the importance weights are calculated by an ANP process. Then, fuzzy SAW is employed to evaluate the preference ratings of the alternatives. The merit of using fuzzy logic is to handle the inherent uncertainty in modelling an EIA problem by simplifying the sophisticated structure of the problem under consideration. The proposed model is utilised to assess the environmental impact generated by zinc and lead mining projects located in Zanjan, Iran to shape the future industrial and mining structure of the region. Finally, the environmental impacts are ranked from the most to the least risky.

show abstract

“…Alternatively, the adjustment of weights for each environmental impact category can be applied to change the importance of different environmental impact category by a rank preference system (Ren et al, 2015;Kim et al, 2013). For example reducing the significance of EQ.…”

Section: Renewable Energymentioning

confidence: 99%

Environmental management of confectionery products: Life cycle impacts and improvement strategies

Miah

Griffiths

McNeill³

et al. 2018

Journal of Cleaner Production

View full text Add to dashboard Cite

a b s t r a c tThis paper presents the first environmental life cycle analysis for a range of different confectionery products. A proposed Life Cycle Assessment (LCA) approach and multi-criteria decision analysis (MCDA) was developed to characterise and identify the environmental profiles and hotspots for five different confectionery products; milk chocolate, dark chocolate, sugar, milk chocolate biscuit and milk-based products. The environmental impact categories are based on Nestle's EcodEX LCA tool which includes Global Warming Potential (GWP), Abiotic Depletion Potential (ADP), ecosystems quality, and two new indicators previously not considered such as land use and water depletion. Overall, it was found that sugar confectionery had the lowest aggregated environmental impact compared to dark chocolate confectionery which had the highest, primarily due to ingredients. As such, nine key ingredients were identified across the five confectionery products which are recommended for confectionery manufacturers to prioritise e.g. sugar, glucose, starch, milk powder, cocoa butter, cocoa liquor, milk liquid, wheat flour and palm oil. Furthermore, the general environmental hotspots were found to occur at the following life cycle stages: raw materials, factory, and packaging. An analysis of five improvement strategies (e.g. alternative raw materials, packaging materials, renewable energy, product reformulations, and zero waste to landfill) showed both positive and negative environmental impact reduction is possible from cradle-to-grave, especially renewable energy. Surprisingly, the role of product reformulations was found to achieve moderate-to-low environmental reductions with waste reductions having low impacts. The majority of reductions was found to be achieved by focusing on sourcing raw materials with lower environmental impacts, product reformulations, and reducing waste generating an aggregated environmental reduction of 46%. Overall, this research provides many insights of the environmental impacts for a range of different confectionery products, especially how actors across the confectionery supply chain can improve the environmental sustainability performance. It is expected the findings from this research will serve as a base for future improvements, research and policies for confectionery manufacturers, supply chain actors, policy makers, and research institutes towards an environmentally sustainable confectionery industry.

show abstract

Environmental impact assessment and eco-friendly decision-making in civil structures

Cited by 19 publications

References 1 publication

A review of application of multi-criteria decision making methods in construction

A review of application of multi-criteria decision making methods in construction

Environmental impact assessment based on group decision-making methods in mining projects

Environmental management of confectionery products: Life cycle impacts and improvement strategies

Contact Info

Product

Resources

About