Sustainability Assessment of Industrial Systems under Uncertainty: A Fuzzy Logic Based Approach to Short-Term to Midterm Predictions

Piluso, Cristina; Huang, Jennifer; Liu, Zheng; Huang, Yinlun

doi:10.1021/ie100164r

Cited by 31 publications

(22 citation statements)

References 19 publications

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“…While the technological and political aspects can affect the economic, environmental, and social performances, the technological and political issues are also usually incorporated in the criteria systems. In this study, a total of 14 criteria concerning the four aspects, that is, economic, environmental, technological, and social‐political issues, were used for the sustainability assessment of various industrial systems (Table ).…”

Section: Mathematical Methodsmentioning

confidence: 99%

Sustainability decision support framework for industrial system prioritization

Ren

Cao

et al. 2015

AIChE Journal

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A multicriteria decision-making methodology for the sustainability prioritization of industrial systems is proposed. The methodology incorporates a fuzzy Analytic Hierarchy Process method that allows the users to assess the soft criteria using linguistic terms. A fuzzy Analytic Network Process method is used to calculate the weights of each criterion, which can tackle the interdependencies and interactions among the criteria. The Preference Ranking Organization Method for Enrichment Evaluation approach is used to prioritize the sustainability sequence of the alternative systems. Moreover, a sensitivity analysis method was developed to investigate the most critical and sensitive criteria. The developed methodology was illustrated by a case study to rank the sustainability of five alternative hydrogen production technologies. The advantages of the developed methodology over the previous approaches were demonstrated by comparing the results determined by the proposed framework with those determined using the pervious approaches.

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Section: Mathematical Methodsmentioning

confidence: 99%

Sustainability decision support framework for industrial system prioritization

Ren

Cao

et al. 2015

AIChE Journal

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“…Piluso et al (2010) introduced a sustainability status representation scheme, which is called the ''sustainability cube'' and is shown in Fig. 2.…”

Section: Assessment Of System Sustainabilitymentioning

confidence: 99%

Sustainability enhancement under uncertainty: a Monte Carlo-based simulation and system optimization method

Liu

Huang

2015

Clean Techn Environ Policy

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Known methods for sustainability enhancement are typically scenario based, and the uncertainty of surrounding available data and information is usually not addressed holistically, due to inherent problem complexity. Thus the solutions identified by those methods could be not sufficiently effective in many industrial applications. In this paper, we introduce a Monte Carlo-based simulation and system optimization method for deriving sustainability enhancement strategies, where uncertainties are systematically taken into account. The methodological efficacy is illustrated through the study of an industrial sustainability enhancement problem involving a number of sectors.

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“…By following previous studies, , multiple criteria in each dimension were selected in this study to assess the sustainability of chemical process routes in life cycle perspective (see Figure ). The criteria assessing the environmental aspect in LCA consist of several criteria for measuring environmental performances, that is, the global warming potential ( GWP ), ozone layer depletion potential ( OLDP ), photochemical oxidation potential ( PCOP ), acidification potential ( AP ), human toxicity potential by ingestion ( HIPI ), human toxicity potential by either inhalation or dermal exposure ( HTPE ), aquatic toxicity potential ( ATP ), and terrestrial toxicity potential ( TTP ).…”

Section: Mathematical Modelsmentioning

confidence: 99%

“…To achieve the sustainable development, the sustainability assessment of different industrial processes in the early conceptual design stage is an essential prerequisite . Accordingly, in the past several years, a variety of sustainability assessment and decision‐making methodologies have been developed for helping the stakeholders/decision‐makers to have a better understanding of different chemical process routes . Lou et al developed a set of new sustainability indices to assess the environmental and economic performances as well as the sustainability of industrial systems.…”

Section: Introductionmentioning

confidence: 99%

Multiactor multicriteria decision making for life cycle sustainability assessment under uncertainties

Ren

Dong

et al. 2018

AIChE Journal

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This article aims at developing a generic multiactor multicriteria decision making (MAMCDM) method for life cycle sustainability assessment (LCSA) of industrial systems under uncertainties, which can help multiple stakeholders/decision-makers to prioritize the alternative industrial systems in a group decision-making approach. The interval bestworst method, which can address the ambiguity, vagueness and hesitations existing in human's judgments, was developed for determining the weight of the criteria in LCSA. The consensus convergence model was developed for aggregating the relative importance of each criterion determined by different stakeholders/decision-makers into an interval weight. Afterward, a novel multicriteria decision-making method which can address the decision-making matrix with interval numbers was developed to prioritize industrial systems under data uncertainties. An illustrative case has been studied by the developed model, and it reveals that the developed model allows multiple stakeholders/decision-makers to participate in the decision-making processes and prioritize industrial systems accurately by using interval numbers.

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Sustainability Assessment of Industrial Systems under Uncertainty: A Fuzzy Logic Based Approach to Short-Term to Midterm Predictions

Cited by 31 publications

References 19 publications

Sustainability decision support framework for industrial system prioritization

Sustainability decision support framework for industrial system prioritization

Sustainability enhancement under uncertainty: a Monte Carlo-based simulation and system optimization method

Multiactor multicriteria decision making for life cycle sustainability assessment under uncertainties

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