Sustainability Analysis of Manufacturing Industry

Kubule, Anna; Blumberga, Dagnija

doi:10.2478/rtuect-2019-0086

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…LCA is a tool to assess environmental impacts from the entire life cycle of products or services [26], [27]. Life cycle assessment is widely used to study environmental impact of building materials, waste management, energy sector, supply chain etc., as well as evaluation of sustainability and the circular economy [28]- [30].…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of Apparel Consumption in Australia

Moazzem

Crossin

Daver

et al. 2021

Environmental and Climate Technologies

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This study presents the environmental impact of apparel consumption in Australia using life cycle assessment methodology according to ISO14040/14044:2006. Available published references, the Ecoinvent v3 dataset, the Australian life cycle assessment dataset and apparel country-wise import data with the breakdown of apparel type and fibre type were used in this study. The environmental impact assessment results of the functional unit were scaled up to the total apparel consumption. The impact results were also normalized on a per-capita/year basis. The Total Climate Change Potential (CCP) impact from apparel consumption of 2015 was estimated to be 16 607 028 tonnes CO2eq and 698.07 kg CO2eq/per capita-year. This study also assessed the impact of acidification potential (AP), water depletion (WD), abiotic resource depletion potential (ADP) - fossil fuel and agricultural land occupation (ALO) using the same methodology. The market volume of cotton apparel in Australia is 53.97 %, which accounts for 45 %, 96 %, 40 %, 46 % and 79 % of total CCP, WD, ADP, AP and ALO impact, respectively. Apparel broad categories of cotton shirt, cotton trouser, polyester shirt and polyester trouser have a high volume in the apparel market as well as a high environmental impact contribution. These high-volume apparel products can be included in the prioritization list to reduce environmental impact throughout the apparel supply chain. It was estimated that from 2010 to 2018 the per capita apparel consumption and corresponding impact increased by 24 %.

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Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of Apparel Consumption in Australia

Moazzem

Crossin

Daver

et al. 2021

Environmental and Climate Technologies

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“…TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) was used in the development of models for assessing corporate sustainability for which secondary data were used to evaluate the criteria: Afful-Dadzie et al (2016) proposed a system to evaluate the efforts of organizations in relation to the goals of sustainable development in Bank and Financial Institutions; Kubule and Blumberga (2019) proposed a model to assess and classify the manufacturing sub-sectors. Hsu et al (2014) incorporated GRA (Gray Rational Analysis) technique to deal with the imprecision in the examination of sustainability indicators used to evaluate organizations.…”

Section: Single Methodsmentioning

confidence: 99%

“…Poplawska et al (2015) applied ANP to select corporate social responsibility programs in the Mining Industry. Debnath et al (2018) Kubule and Blumberga (2019) proposed a model to assess and classify the manufacturing sub-sectors. Hsu et al (2014) incorporated GRA (Gray Rational Analysis) technique to deal with the imprecision in the examination of sustainability indicators used to evaluate organizations.…”

Section: Single Methodsmentioning

confidence: 99%

A multicriteria model for assessing corporate sustainability in the construction industry

Prs¹,

Schramm²,

Vb³

2021

Preprint

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The construction industry is one of the most critical activities for the sustainable development of a country, generating positive and negative economic, social and environmental impacts. These aspects can be measured by Sustainability Indicators and Indices, which are useful tools for society, investors and the government in decision-making, especially when purchasing products and services, as they quantify information about a phenomenon in a given dimension of sustainability. Therefore, the objective of this study is to propose a model for assessing the sustainability of civil construction companies, considering economic, social, environmental and corporate governance criteria. These criteria are aggregated into a single index using the PROMETHEE II multicriteria method, which allows to avoid the compensation effect caused by the aggregation operators based on the additive model. The model was used to evaluate four Brazilian construction companies: Alpha, Beta, Delta and Gamma. The data of these companies were collected in a database of the Brazilian Chamber of the Construction Industry and in the sustainability`s reports published by them. We concluded that the companies Alpha and Gamma, followed by the company Beta presented the best performances in corporate sustainability, while the construction company Delta has the worst level of corporate sustainability.

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