scholarly journals A Comprehensive and Integrated Stochastic-Fuzzy Method for Sustainability Assessment in the Malaysian Food Manufacturing Industry

2019 ◽  
Vol 11 (4) ◽  
pp. 948 ◽  
Author(s):  
Shamraiz Ahmad ◽  
Kuan Wong ◽  
Babar Zaman
Keyword(s):  
Manufacturing Industry ◽  
Sustainability Assessment ◽  
Assessment Method ◽  
Three Dimensions ◽  
Food Manufacturing ◽  
High Performing ◽  
Reliable Assessment ◽  
Integrated Sustainability ◽  
Food Manufacturing Industry

Manufacturing activities carry significant burdens for all three dimensions of sustainability, i.e., environment, economy and society. However, most of the available sustainability assessment methods for manufacturing are based on environmental concerns only. Moreover, it is hard to find a sustainability assessment method that considers both stochastic and fuzzy uncertainties concurrently and a comprehensive set of weighted and applicable indicators. Thus, the main purpose of this paper was to develop and test an integrated sustainability assessment method that included both stochastic and fuzzy uncertainties. Both quantitative and qualitative, and weighted sustainability indicators for the Malaysian food manufacturing industry needed to be considered, with reliable assessment results. In order to achieve the objective, the Monte Carlo simulation and fuzzy logic approaches were employed. An overall unit-less sustainability index was calculated to evaluate the current sustainability level. This method was demonstrated using a real-world case study of a Malaysian food manufacturing company. The results highlighted and traced the company-wide major low and high performing areas for all three dimensions of sustainability. The results unveiled that the case company could improve its sustainability performance more effectively by decreasing the amount of air emissions, polluted wastewater, etc., and improving the working conditions. This would enable the practitioners and decision-makers to allocate resources accordingly and more efficiently. Finally, the developed method was validated and the implications and conclusions of the research were presented.

scholarly journals SDG-Based Sustainability Assessment Methodology for Innovations in the Field of Urban Surfaces

2020 ◽  
Vol 12 (11) ◽  
pp. 4466 ◽  
Author(s):  
Kristina Henzler ◽  
Stephanie D. Maier ◽  
Michael Jäger ◽  
Rafael Horn
Keyword(s):  
Urban Areas ◽  
Sustainability Assessment ◽  
Methodological Approach ◽  
Innovation Process ◽  
Assessment Method ◽  
Decision Makers ◽  
Three Dimensions ◽  
Potential Contribution ◽  
Economic Dimension

The sustainability of urban surfaces can be enhanced by introducing innovations. An ex-ante assessment of the potential sustainability impacts of innovations in urban areas can provide decision-makers with valuable recommendations for their selection before implementation. This knowledge helps to make the innovation more future-proof. Although a first methodological approach for such an assessment is available, there is no readily applicable set of indicators. Hence, this article proposes a holistic sustainability impact assessment method tailored to the management of urban surfaces and their innovations. For the development of the method, a Sustainable Development Goal (SDG)-based, top-down approach is adopted. The proposed assessment method makes it possible to identify an innovation’s potential contribution to the achievement of the SDGs before its introduction. In this article, the assessment method is tested by evaluating the sustainability impacts of weed-suppressing joint filling sand on a walkway in a municipal cemetery in Southern Germany. The case study shows that a mixed impact of the innovation in the three dimensions of sustainability could be expected within the system boundary. It highlights the need for innovation optimization, mainly in the economic dimension. As a result, the introduced method can support the innovation process of urban surfaces for sustainable municipal development.

scholarly journals A Waste Management Behavioural Framework of Singapore’s Food Manufacturing Industry using Factor Analysis

Procedia CIRP ◽  
2019 ◽  
Vol 80 ◽  
pp. 578-583 ◽  
Author(s):  
Zeynep Duygu Tekler ◽  
Raymond Low ◽  
Si Ying Chung ◽  
Jonathan Sze Choong Low ◽  
Lucienne Blessing
Keyword(s):  
Factor Analysis ◽  
Waste Management ◽  
Manufacturing Industry ◽  
Food Manufacturing ◽  
Food Manufacturing Industry

scholarly journals Measuring sustainable development in the education area using multi-criteria methods: a case study

2019 ◽  
Vol 28 (4) ◽  
pp. 1219-1241 ◽  
Author(s):  
Ewa Roszkowska ◽  
Marzena Filipowicz-Chomko
Keyword(s):  
Sustainable Development ◽  
Sustainability Assessment ◽  
Point Of View ◽  
Target Point ◽  
Ideal Solution ◽  
Development Goals ◽  
Negative Ideal Solution ◽  
Integrated Sustainability ◽  
The Eu

Abstract Sustainability is a holistic and complex multi-dimensional concept comprising economic, social and environmental issues. The EU Sustainable Development Goals’ indicator set, developed by European Commission, is implemented online in Eurostat’s database and constitutes the basis for assessing the level of sustainability assessment in different areas. The integration of the sustainability indicators was carried out in many studies by using the multi-criteria techniques. This work proposes a new methodological framework based on extended TOPSIS procedure, which takes into account EU targets and/or national targets in building positive ideal solution and negative ideal solution. This algorithm allows compensatory and non-compensatory approach in integrated sustainability assessment from the target point of view. This framework has been applied to measure sustainable development in the area of education in 28 EU countries in 2015. The results of this research also illustrate the complexity of measuring sustainable development, where multiple sustainability criteria and targets are considered.

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