Combined application of multi-criteria optimization and life-cycle sustainability assessment for optimal distribution of alternative passenger cars in U.S.

Onat, Nuri Cihat; Küçükvar, Murat; Tatari, Ömer; Zheng, Qipeng P.

doi:10.1016/j.jclepro.2015.09.021

Cited by 107 publications

(45 citation statements)

References 76 publications

(85 reference statements)

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“…Three papers apply MODM methods. Traut et al [49] develop a mixed-integer nonlinear optimization model, Ziolkowska [42] applies a fuzzy linear programming (LP) model and Onat et al [37] use 'Compromise Programming', a multi-objective optimization model, which was first introduced by Zeleny [63].…”

Section: Summary Of Mcda Methods and Background Of Reviewed Papersmentioning

confidence: 99%

“…Heo et al [12] rely on the BOCR approach and a review by experts to select their criteria. Other authors use a Life Cycle Sustainability Assessment (LCSA) or Life Cycle Assessment (LCA) approach to define their evaluation criteria [13,29,[35][36][37]40], while Hayashi et al [43] base their selection on the indicators in the Global Bioenergy Partnership. Perimenis et al [53] and Büyüközkan et al [30] rely solely on expert opinion to identify relevant criteria.…”

Section: Rationale For Selection Of Alternatives and Criteriamentioning

confidence: 99%

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Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature

Kügemann

Polatidis

2019

Energies

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Multi-Criteria Decision Analysis (MCDA) methods help decision makers to consider and weigh diverse criteria that include economic, environmental, social and technological aspects. This characteristic makes them a popular tool to comparatively evaluate road transportation fuels and vehicles (RTFV). The aim of this paper is to systematically classify and analyse the literature applying MCDA methods on the evaluation of RTFV. To this end, 40 relevant papers are pinpointed and discussed. We identified a great number of evaluation criteria employed in the reviewed papers from which we have established a concluding list of 41 criteria, that can serve as a pool for future research. A further analysis of the evaluation criteria reveals that the process of criteria selection partly suffers from a lack of scientific foundation and standardization. We propose to standardize the criteria selection process by using the Life Cycle Sustainability Assessment (LCSA) methodology as a guiding reference. In addition, we compared the MCDA results obtained from studies with relatively similar setups and found that the evaluation results are also generally similar and seem not to be influenced by the particular MCDA method employed. Based on the results of the reviewed papers, one may say that electricity and ethanol appear to be good alternatives for light vehicles, whereas gaseous fuels seem more appropriate for heavy vehicles like buses. Striking deviations from these generally observed results are often caused by specific evaluation contexts, particular criteria taken into account and unusual weight sets applied.The last category (c) is concerned with hydrogen in particular, as is a potential energy carrier in the aforementioned fuel cell vehicles. Three specific hydrogen production paths are evaluated, i.e., electrolysis, steam reforming and gasification, sourced from different feedstock [11][12][13][14][15]. Multi-Criteria Decision Analysis MethodsThis Section shortly outlines the MCDA methods most often used in the reviewed papers. MCDA methods can be broadly divided in Multi-Attribute Decision Making (MADM) with limited solutions for a finite set of alternatives and Multi-Objective Decision Making (MODM) with indefinite solutions for an indefinite set of possible scenarios [16]. MODM methods usually comprise some form of optimization, for instance linear or nonlinear programming. These methods start with certain restrictions which determine the optimal solution [17] and find a solution by optimizing the resulting

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Section: Summary Of Mcda Methods and Background Of Reviewed Papersmentioning

confidence: 99%

Section: Rationale For Selection Of Alternatives and Criteriamentioning

confidence: 99%

Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature

Kügemann

Polatidis

2019

Energies

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“…There is a clear lack of understanding on the mutual dependencies and complex interactions among entities in the cause-effect chain (Onat et al 2016a;Zamagni et al 2013). Many studies end up with outlining or quantifying indicators for predefined AoPs, with possible aggregation through multicriteria analysis (Vazquez-Rowe and Iribarren 2015;Diaz-Balteiro et al 2017;Onat et al 2016b;Finkbeiner et al 2010;UNEP-SETAC 2011). These offer practical solutions, but do not take the next needed step of considering cause-effect pathways between AoPs.…”

Section: Interconnectedness Among Areas Of Protectionmentioning

confidence: 99%

A Revision of What Life Cycle Sustainability Assessment Should Entail: Towards Modeling the Net Impact on Human Well‐Being

Schaubroeck

Rugani

2017

J of Industrial Ecology

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Summary The main goal of a sustainability assessment is to evaluate the impact of systems (e.g., human or natural ones) on areas sought to be protected and maintained over time (e.g., human well‐being, ecosystems, etc.). These are called areas of protection (AoPs). Life cycle sustainability assessment is a type of sustainability assessment that focuses on the impact of industrial production systems on AoPs. To further this field, three conceptual challenges should be tackled: (1) framing which areas should primarily be sustained and hence on which the impact should be assessed, that is, (re)defining of the AoPs; (2) accounting for the interconnectedness among AoPs (e.g., influence of ecosystems on human well‐being); and (3) the assessment of both benefit and damage to the AoPs (e.g., benefit of industrial products and damage of their production). The aim of this study is to provide a first roadmap to address these three issues and to suggest potential solutions. Regarding the first issue, our conclusion is that human well‐being, encompassing health and happiness, is the primary AoP. This is based on the argument that the sustainability concept is inherently anthropocentric. In this regard, other entities such as ecosystems as a whole are sustained in light of human well‐being. The well‐being adjusted life years, interpreted as years of perfect well‐being, is pinpointed as the most promising holistic indicator. To conduct a respective sustainability assessment that tackles the remaining two issues—integrated system modeling of the earth and its support to well‐being—is argued as the most suitable approach.

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“…Hence, a compromise programming model was developed. This approach is widely used for optimally solving multi-objective linear, non-linear or integer programming problems [21][22][23][24]. The compromise programming model measures the distance based on the L a metric.…”

Section: Multi-criteria Optimization Modelmentioning

confidence: 99%

Life Cycle Assessment and Optimization-Based Decision Analysis of Construction Waste Recycling for a LEED-Certified University Building

2016

Self Cite

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Abstract:The current waste management literature lacks a comprehensive LCA of the recycling of construction materials that considers both process and supply chain-related impacts as a whole. Furthermore, an optimization-based decision support framework has not been also addressed in any work, which provides a quantifiable understanding about the potential savings and implications associated with recycling of construction materials from a life cycle perspective. The aim of this research is to present a multi-criteria optimization model, which is developed to propose economically-sound and environmentally-benign construction waste management strategies for a LEED-certified university building. First, an economic input-output-based hybrid life cycle assessment model is built to quantify the total environmental impacts of various waste management options: recycling, conventional landfilling and incineration. After quantifying the net environmental pressures associated with these waste treatment alternatives, a compromise programming model is utilized to determine the optimal recycling strategy considering environmental and economic impacts, simultaneously. The analysis results show that recycling of ferrous and non-ferrous metals significantly contributed to reductions in the total carbon footprint of waste management. On the other hand, recycling of asphalt and concrete increased the overall carbon footprint due to high fuel consumption and emissions during the crushing process. Based on the multi-criteria optimization results, 100% recycling of ferrous and non-ferrous metals, cardboard, plastic and glass is suggested to maximize the environmental and economic savings, simultaneously. We believe that the results of this research will facilitate better decision making in treating construction and debris waste for LEED-certified green buildings by combining the results of environmental LCA with multi-objective optimization modeling.

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Combined application of multi-criteria optimization and life-cycle sustainability assessment for optimal distribution of alternative passenger cars in U.S.

Cited by 107 publications

References 76 publications

Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature

Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature

A Revision of What Life Cycle Sustainability Assessment Should Entail: Towards Modeling the Net Impact on Human Well‐Being

Life Cycle Assessment and Optimization-Based Decision Analysis of Construction Waste Recycling for a LEED-Certified University Building

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