The Experts below are selected from a list of 117147 Experts worldwide ranked by ideXlab platform
Omer Tatari - One of the best experts on this subject based on the ideXlab platform.
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Application of the TOPSIS and intuitionistic fuzzy set approaches for ranking the life cycle Sustainability Performance of alternative vehicle technologies
Sustainable Production and Consumption, 2016Co-Authors: Nuri Cihat Onat, Serkan Gumus, Murat Kucukvar, Omer TatariAbstract:This research involves two novel elements to advance the body of knowledge in existing Sustainability assessment frameworks for alternative vehicle technologies. First, we developed an input-output based hybrid life cycle Sustainability assessment model using several macro-level social, economic, and environmental indicators, taking into consideration the manufacturing of vehicles and batteries, operation, and end-of-life phases. Second, the results of a hybrid life cycle Sustainability assessment for different conventional and alternative vehicles technologies (internal combustion electric vehicles, hybrid electric vehicles, plug-in-hybrid electric vehicles, and battery electric vehicles) are incorporated into the Technique for Order-Preference by Similarity to Ideal Solution and Intuitionistic Fuzzy Sets. Two policy scenarios are considered in this analysis, with Scenario 1 being based on existing electric power infrastructure in the U.S. with no additional infrastructure requirements, while Scenario 2 is an extreme scenario in which the electricity to power electric vehicles is generated exclusively via solar charging stations. The Intuitionistic Fuzzy Multi-Criteria Decision Making and Technique for Order Preference by Similarity to Ideal Solution methods are then utilized to rank the life cycle Sustainability Performance of alternative passenger vehicles. Furthermore, since expert judgments play an important role in determining the relative Performance of alternative vehicle technologies, a Sustainability triangle analysis is also presented to show how the weighting applied to each dimension affects the selection of different alternatives. The results indicate that hybrid and plug-in hybrid electric vehicles are the best alternatives for both Scenarios 1 and 2 when all of the indicators are considered. On the other hand, the ranking of vehicles changes significantly when each of the environmental, economic, and social indicators are evaluated individually. This proposed method can be a useful decision making platform for decision-makers to develop more effective policies and guide the offering of incentives to the right domains for sustainable transportation.
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A fuzzy data envelopment analysis framework for dealing with uncertainty impacts of input-output life cycle assessment models on eco-efficiency assessment
Journal of Cleaner Production, 2016Co-Authors: Gokhan Egilmez, Serkan Gumus, Murat Kucukvar, Omer TatariAbstract:The uncertainty in the results of input-output-based life cycle assessment models makes the Sustainability Performance assessment and ranking a challenging task. Therefore, introducing a new approach, fuzzy data envelopment analysis, is critical; since such a method could make it possible to integrate the uncertainty in the results of the life cycle assessment models into the decision-making for Sustainability benchmarking and ranking. In this paper, a fuzzy data envelopment analysis model was coupled with an input-output-based life cycle assessment approach to perform the Sustainability Performance assessment of the 33 food manufacturing sectors in the United States. Seven environmental impact categories were considered the inputs and the total production amounts were identified as the output category, where each food manufacturing sector was considered a decision-making unit. To apply the proposed approach, the life cycle assessment results were formulated as fuzzy crisp valued-intervals and integrated with fuzzy data envelopment analysis model, thus, Sustainability Performance indices were quantified. Results indicated that majority (31 out of 33) of the food manufacturing sectors were not found to be efficient, where the overall Sustainability Performance scores ranged between 0.21 and 1.00 (efficient), and the average Sustainability Performance was found to be 0.66. To validate the current study's findings, a comparative analysis with the results of a previous work was also performed. The major contribution of the proposed framework is that the effects of uncertainty associated with input-output-based life cycle assessment approaches can be successfully tackled with the proposed Fuzzy DEA framework which can have a great area of application in research and business organizations that use with eco-efficiency as a Sustainability Performance metric.
Klaus Hubacek - One of the best experts on this subject based on the ideXlab platform.
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measuring the environmental Sustainability Performance of global supply chains a multi regional input output analysis for carbon sulphur oxide and water footprints
Journal of Environmental Management, 2017Co-Authors: Adolf Acquaye, Kuishuang Feng, Eunice Oppon, Said Salhi, Taofeeq Ibnmohammed, Andrea Genovese, Klaus HubacekAbstract:Measuring the Performance of what an environmentally sustainable supply chain has become a challenge despite the convergence of the underlining principles of sustainable supply chain management. This challenge is exacerbated by the fact that supply chains are inherently dynamic and complex and also because multiple measures can be used to characterize Performances. By identifying some of the critical issues in the literature regarding Performance measurements, this paper contributes to the existing body of literature by adopting an environmental Performance measurement approach for economic sectors (primary, secondary and tertiary sectors). It uses economic sectors and evaluates them on a sectoral level in specific countries as well as part of the Global Value Chain based on the established multi-regional input-output (MRIO) modelling framework. The MRIO model has been used to calculate direct and indirect (that is supply chain or upstream) environmental effects such as CO2, SO2, biodiversity, water consumption and pollution to name just a few of the applications. In this paper we use MRIO to calculate emissions and resource consumption intensities and footprints, direct and indirect impacts, and net emission flows between countries. These are exemplified by using carbon emissions, sulphur oxide emissions and water use in two highly polluting industries; Electricity production and Chemical industry in 33 countries, including the EU-27, Brazil, India and China, the USA, Canada and Japan from 1995 to 2009. Some of the results highlights include: On average, direct carbon emissions in the electricity sector across all 27 member states of the EU was estimated to be 1368 million tonnes and indirect carbon emissions to be 470.7 million tonnes per year representing 25.6% of the EU-27 total carbon emissions related to this sector. It was also observed that from 2004, sulphur oxide emissions intensities in electricity production in India and China have remained relatively constant at about 62.8 gSOx/$ and 84.4 gSOx/$ although being higher than in other countries. In terms of water use, the high water use intensity in China (1040.27 litres/$) and India (961.63 litres/$), which are among the highest in the sector in the electricity sector is exacerbated by both countries being ranked as High Water Stress Risk countries. The paper also highlights many merits of the MRIO including: a 15-year time series study (which provides a measurement of environmental Performance of key industries and an opportunity to assess technical and technological change during the investigated time period), a supply chain approach that provides a consistent methodological framework and accounts for all upstream supply chain environmental impacts throughout entire global supply chains. The paper also discusses the implications of the study to environmental Sustainability Performance measurement in terms of the level of analysis from a value chain hierarchy perspective, methodological issues, Performance indicators, environmental exchanges and policy relevance.
Stefan Schaltegger - One of the best experts on this subject based on the ideXlab platform.
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measuring and managing Sustainability Performance of supply chains review and Sustainability supply chain management framework
Supply Chain Management, 2014Co-Authors: Stefan Schaltegger, Roger BurrittAbstract:Purpose – The purpose of this paper is to discuss what a fully sustainable supply chain might look like and the consequences that can be drawn from this view. Also, it develops a practical approach towards Sustainability supply chain Performance measurement and management. The paper develops an analytical framework for the assessment of approaches for the measurement and management of Sustainability Performance of supply chains (SPSCs). Little research has been conducted on the issues, existing methods and possible approaches to measure and manage SPSCs. Design/methodology/approach – Literature review and conceptual development of framework. Findings – The paper develops an analytical framework for the assessment of approaches for the measurement and management of SPSCs. Existing approaches discussed in the vein of improving supply chains and increasing recycling are examined in the light of our framework, and areas to extend the research on Sustainability Performance measurement and management are identi...
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special volume of the journal of cleaner production on integrating corporate Sustainability Performance measurement management control and reporting call for papers
Journal of Cleaner Production, 2014Co-Authors: Karen Maas, Nathalie Crutzen, Stefan SchalteggerAbstract:Much has been written about “why” companies are involved in Sustainability issues. Numerous papers have been published about their motivations such as the business case and stakeholder management. However, relatively little research has addressed the “how” question. Amongst the “how” questions, the one dealing with how companies can and do integrate Sustainability Performance measurement, management control, reporting and communication is particularly underexplored. How are companies involved in Sustainability management through accounting and reporting? How are appropriate data obtained and how are they used to influence management decision making, management control, Performance management and incentive systems when assessing the success of company Sustainability? Reporting companies mainly collect data for lagging indicators. Although these are of potential use they mainly provide information about past Performance, and are not relevant for management decisions. To improve Sustainability Performances (environmental, social and economic), firms also need to consider leading indicators. Current trends such as ‘Integrated Thinking and Integrated Reporting’ stimulate this way of thinking while encouraging firm’s managers to integrate Sustainability issues within the firm’s vision, strategy, risk management, conventional management accounting, control and reporting systems. Although these elements are often addressed separately, it is becoming increasingly urgent that for effective improvement of Sustainability Performance all must be addressed in an integrated and holistic manner. How do and can companies integrate these different management areas, departments and rationales in such ways that help the firms to become true leaders in the transition to post fossil carbon societies? To motivate research on this topic The Environmental and Sustainability Management Accounting Network (EMAN) conference to be held on 27th and 28th March, 2014 will focus on the theme
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integrative management of Sustainability Performance measurement and reporting
International Journal of Accounting Auditing and Performance Evaluation, 2006Co-Authors: Stefan Schaltegger, Marcus WagnerAbstract:Sustainability Performance management is a newly emerging term which addresses the social, environmental and economic (Performance) aspects of corporate management in general and of corporate Sustainability management in particular. The management of Sustainability Performance requires a sound management framework which firstly links environmental and social management with the business and competitive strategy and management and, secondly, that integrates environmental and social information with economic business information and Sustainability reporting. This contribution addresses the link between the Sustainability Balanced Scorecard as a strategic information and management approach, Sustainability accounting as a supporting measurement approach and Sustainability reporting for communication and reporting.
Murat Kucukvar - One of the best experts on this subject based on the ideXlab platform.
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Application of the TOPSIS and intuitionistic fuzzy set approaches for ranking the life cycle Sustainability Performance of alternative vehicle technologies
Sustainable Production and Consumption, 2016Co-Authors: Nuri Cihat Onat, Serkan Gumus, Murat Kucukvar, Omer TatariAbstract:This research involves two novel elements to advance the body of knowledge in existing Sustainability assessment frameworks for alternative vehicle technologies. First, we developed an input-output based hybrid life cycle Sustainability assessment model using several macro-level social, economic, and environmental indicators, taking into consideration the manufacturing of vehicles and batteries, operation, and end-of-life phases. Second, the results of a hybrid life cycle Sustainability assessment for different conventional and alternative vehicles technologies (internal combustion electric vehicles, hybrid electric vehicles, plug-in-hybrid electric vehicles, and battery electric vehicles) are incorporated into the Technique for Order-Preference by Similarity to Ideal Solution and Intuitionistic Fuzzy Sets. Two policy scenarios are considered in this analysis, with Scenario 1 being based on existing electric power infrastructure in the U.S. with no additional infrastructure requirements, while Scenario 2 is an extreme scenario in which the electricity to power electric vehicles is generated exclusively via solar charging stations. The Intuitionistic Fuzzy Multi-Criteria Decision Making and Technique for Order Preference by Similarity to Ideal Solution methods are then utilized to rank the life cycle Sustainability Performance of alternative passenger vehicles. Furthermore, since expert judgments play an important role in determining the relative Performance of alternative vehicle technologies, a Sustainability triangle analysis is also presented to show how the weighting applied to each dimension affects the selection of different alternatives. The results indicate that hybrid and plug-in hybrid electric vehicles are the best alternatives for both Scenarios 1 and 2 when all of the indicators are considered. On the other hand, the ranking of vehicles changes significantly when each of the environmental, economic, and social indicators are evaluated individually. This proposed method can be a useful decision making platform for decision-makers to develop more effective policies and guide the offering of incentives to the right domains for sustainable transportation.
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A fuzzy data envelopment analysis framework for dealing with uncertainty impacts of input-output life cycle assessment models on eco-efficiency assessment
Journal of Cleaner Production, 2016Co-Authors: Gokhan Egilmez, Serkan Gumus, Murat Kucukvar, Omer TatariAbstract:The uncertainty in the results of input-output-based life cycle assessment models makes the Sustainability Performance assessment and ranking a challenging task. Therefore, introducing a new approach, fuzzy data envelopment analysis, is critical; since such a method could make it possible to integrate the uncertainty in the results of the life cycle assessment models into the decision-making for Sustainability benchmarking and ranking. In this paper, a fuzzy data envelopment analysis model was coupled with an input-output-based life cycle assessment approach to perform the Sustainability Performance assessment of the 33 food manufacturing sectors in the United States. Seven environmental impact categories were considered the inputs and the total production amounts were identified as the output category, where each food manufacturing sector was considered a decision-making unit. To apply the proposed approach, the life cycle assessment results were formulated as fuzzy crisp valued-intervals and integrated with fuzzy data envelopment analysis model, thus, Sustainability Performance indices were quantified. Results indicated that majority (31 out of 33) of the food manufacturing sectors were not found to be efficient, where the overall Sustainability Performance scores ranged between 0.21 and 1.00 (efficient), and the average Sustainability Performance was found to be 0.66. To validate the current study's findings, a comparative analysis with the results of a previous work was also performed. The major contribution of the proposed framework is that the effects of uncertainty associated with input-output-based life cycle assessment approaches can be successfully tackled with the proposed Fuzzy DEA framework which can have a great area of application in research and business organizations that use with eco-efficiency as a Sustainability Performance metric.
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environmental Sustainability benchmarking of the u s and canada metropoles an expert judgment based multi criteria decision making approach
Cities, 2015Co-Authors: Gokhan Egilmez, Serkan Gumus, Murat KucukvarAbstract:Abstract In this paper, environmental Sustainability Performance assessment of 27 U.S. and Canada metropoles is addressed. A four-step hierarchical fuzzy multi-criteria decision-making approach is developed. In the first step, the proposed methodology is established by determining the Sustainability Performance indicators (a total of 16 Sustainability indicators are considered), collecting the data and contacting experts from academia, U.S. government agencies and within the industry. In the second step, experts are contacted and the entire list is finalized; Sustainability Performance evaluation forms are delivered; and then expert judgment results are obtained and quantified, respectively. In the third step, the proposed Multi-criteria Intuitionistic Fuzzy Decision Making model is developed and Sustainability Performance scores are quantified by using the collected data, multi-criteria decision making model and Sustainability indicator weights obtained from expert judgment phase. In the final step, the Sustainability scores and rankings of the 27 metropoles, results analysis and discussions, and statistical highlights about the research findings are provided. Results indicated that the average Sustainability Performance score is found to be 0.524 over scale between 0 and 1. The metropole with the greatest Sustainability Performance score is found to be New York with 0.703 and the poorest performing city is identified as Cleveland with 0.394. The results of the statistical analysis indicate that the greatest significant correlations are obtained with carbon dioxide (CO2) emissions per person (−0.749 – significant negative correlation with Sustainability Performance score) and share of workers traveling by public transport (+0.753 – significant positive correlation with Sustainability Performance score). Therefore, the CO2 emissions and public transport are found to have the most significant impact on the Sustainability scores.
Roger Burritt - One of the best experts on this subject based on the ideXlab platform.
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measuring and managing Sustainability Performance of supply chains review and Sustainability supply chain management framework
Supply Chain Management, 2014Co-Authors: Stefan Schaltegger, Roger BurrittAbstract:Purpose – The purpose of this paper is to discuss what a fully sustainable supply chain might look like and the consequences that can be drawn from this view. Also, it develops a practical approach towards Sustainability supply chain Performance measurement and management. The paper develops an analytical framework for the assessment of approaches for the measurement and management of Sustainability Performance of supply chains (SPSCs). Little research has been conducted on the issues, existing methods and possible approaches to measure and manage SPSCs. Design/methodology/approach – Literature review and conceptual development of framework. Findings – The paper develops an analytical framework for the assessment of approaches for the measurement and management of SPSCs. Existing approaches discussed in the vein of improving supply chains and increasing recycling are examined in the light of our framework, and areas to extend the research on Sustainability Performance measurement and management are identi...
