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Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study. FOUNDATIONS OF COMPUTING AND DECISION SCIENCES 2022. [DOI: 10.2478/fcds-2022-0018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Abstract
This paper aims to introduce a framework to measure the sustainable performance of the supply chain (SC) during the COVID-19 pandemic. The SC stakeholders in this investigation are Suppliers, Production / Remanufacturing / Refurbishing Centers (Factories), Collection / Distribution Centers, Recycling / Landfill Centers, and Customers. The suggested sustainable supply chain (SSC) performance measurement included three pillars with 23 indicators. To evaluate the overall sustainability of the SC understudy, a composite index has been developed that combines all the indicators to reflect the sustainability performance of the SC. Four steps are involved in creating a composite index:1) measuring the value of indicators, 2) weighing indicators, 3) Using the normalization technique, and 4) Evaluating the overall SSC indicator. The real case in Iran is selected as an illustrative case. Our research contributions are: We suggested a novelty indicator of SSC to better show the economic, environmental, and social tradeoffs during the COVID-19 pandemic and lockdowns. We have found and measured the negative and positive impacts of COVID-19 on aspects of sustainability in SC. Based on the achieved data of the real case study, a numerical example is represented to explain how to calculate the composite index. The main contribution of this paper is the development of SSC indicators during the COVID-19 epidemic.
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2
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Drone flocking optimization using NSGA-II and principal component analysis. SWARM INTELLIGENCE 2022. [DOI: 10.1007/s11721-022-00216-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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3
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Cook M, de Caritat P, Kleinschmidt R, Brugger J, Wong VN. Future migration: Key environmental indicators of Pu accumulation in terrestrial sediments of Queensland, Australia. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2020; 223-224:106398. [PMID: 32932188 DOI: 10.1016/j.jenvrad.2020.106398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 07/29/2020] [Accepted: 08/20/2020] [Indexed: 06/11/2023]
Abstract
Plutonium (Pu) interactions in the environment are highly complex. Site-specific variables play an integral role in determining the chemical and physical form of Pu, and its migration, bioavailability, and immobility. This paper aims to identify the key variables that can be used to highlight regions of radioecological sensitivity and guide remediation strategies in Australia. Plutonium is present in the Australian environment as a result of global fallout and the British nuclear testing program of 1952-1958 in central and west Australia (Maralinga and Montebello islands). We report the first systematic measurements of 239+240Pu and 238Pu activity concentrations in distal (≥1000 km from test sites) catchment outlet sediments from Queensland, Australia. The average 239+240Pu activity concentration was 0.29 mBq.g -1 (n = 73 samples) with a maximum of 4.88 mBq.g -1.238Pu/239+240Pu isotope ratios identified a large range (0.02-0.29 (RSD: 74%)) which is congruent with the heterogeneous nuclear material used for the British nuclear testing programme at Maralinga and Montebello Islands. The use of a modified PCA relying on non-linear distance correlation (dCorr) provided broader insight into the impact of environmental variables on the transport and migration of Pu in this soil system. Primary key environmental indicators of Pu presence were determined to be actinide/lanthanide/heavier transition metals, elevation, electrical conductivity (EC), CaO, SiO2, SO3, landform, geomorphology, land use, and climate explaining 81.7% of the variance of the system. Overall this highlighted that trace level Pu accumulations are associated with the coarse, refractive components of Australian soils, and are more likely regulated by the climate of the region and overall soil type.
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Affiliation(s)
- Megan Cook
- School of Earth, Atmosphere & Environment, Monash University, Clayton, VIC, 3800, Australia.
| | | | - Ross Kleinschmidt
- Epic Environmental, PO Box 13058, Brisbane, Queensland, 4003, Australia
| | - Joёl Brugger
- School of Earth, Atmosphere & Environment, Monash University, Clayton, VIC, 3800, Australia
| | - Vanessa Nl Wong
- School of Earth, Atmosphere & Environment, Monash University, Clayton, VIC, 3800, Australia
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Wang J, Swartz CLE, Corbett B, Huang K. Supply Chain Monitoring Using Principal Component Analysis. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c01038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jing Wang
- School of Computational Science and Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4K1
| | - Christopher L. E. Swartz
- Department of Chemical Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L7
| | - Brandon Corbett
- ProSensus Inc., 4325 Harvester Road, Unit 12, Burlington, Ontario, Canada, L7L 5M4
| | - Kai Huang
- DeGroote School of Business, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4M4
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Quality aroma improvement of Muscat wine spirits: A new approach using first-principles model-based design and multi-objective dynamic optimisation through multi-variable analysis techniques. FOOD AND BIOPRODUCTS PROCESSING 2019. [DOI: 10.1016/j.fbp.2019.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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7
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Esnouf A, Heijungs R, Coste G, Latrille É, Steyer JP, Hélias A. A tool to guide the selection of impact categories for LCA studies by using the representativeness index. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 658:768-776. [PMID: 30583172 DOI: 10.1016/j.scitotenv.2018.12.194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 12/12/2018] [Accepted: 12/12/2018] [Indexed: 05/21/2023]
Abstract
Understanding the environmental profile of a product computed from the Life Cycle Assessment (LCA) framework is sometimes challenging due to the high number of environmental indicators involved. The objective here, in guiding interpretation of LCA results, is to highlight the importance of each impact category for each product alternative studied. For a given product, the proposed methodology identifies the impact categories that are worth focusing on, relatively to a whole set of products from the same cumulated database. The approach extends the analysis of Representativeness Indices (RI) developed by Esnouf et al. (2018). It proposes a new operational tool for calculating RIs at the level of impact categories for a Life Cycle Inventory (LCI) result. Impact categories and LCI results are defined as vectors within a standardized vector space and a procedure is proposed to treat issues coming from the correlation of impact category vectors belonging to the same Life Cycle Impact Assessment (LCIA) method. From the cumulated ecoinvent database, LCI results of the Chinese and the German electricity mixes illustrate the method. Relevant impact categories of the EU-standardized ILCD method are then identified. RI results from all products of a cumulated LCI database were therefore analysed to assess the main tendencies of the impact categories of the ILCD method. This operational approach can then significantly contribute to the interpretation of the LCA results by pointing to the specificities of the inventories analysed and for identifying the main representative impact categories.
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Affiliation(s)
- Antoine Esnouf
- LBE, Univ Montpellier, INRA, Montpellier SupAgro, Narbonne, France; Elsa, Research Group for Environmental Life cycle and Sustainability Assessment, Montpellier, France.
| | - Reinout Heijungs
- Department of Econometrics and Operations Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Institute of Environmental Sciences, Department of Industrial Ecology, Leiden University, Leiden, the Netherlands
| | - Gustave Coste
- LBE, Univ Montpellier, INRA, Montpellier SupAgro, Narbonne, France; Elsa, Research Group for Environmental Life cycle and Sustainability Assessment, Montpellier, France
| | - Éric Latrille
- LBE, Univ Montpellier, INRA, Montpellier SupAgro, Narbonne, France
| | | | - Arnaud Hélias
- LBE, Univ Montpellier, INRA, Montpellier SupAgro, Narbonne, France; Elsa, Research Group for Environmental Life cycle and Sustainability Assessment, Montpellier, France; Chair of Sustainable Engineering, Technische Universität Berlin, Berlin, Germany
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Vázquez D, Ruiz-Femenia R, Jiménez L, Caballero JA. MILP models for objective reduction in multi-objective optimization: Error measurement considerations and non-redundancy ratio. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.04.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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9
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Vázquez D, Ruiz-Femenia R, Jiménez L, Caballero JA. Multiobjective Early Design of Complex Distillation Sequences Considering Economic and Inherent Safety Criteria. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b00577] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Daniel Vázquez
- Institute of Chemical Process Engineering, University of Alicante, PO 99, E-3080 Alicante, Spain
- Department d’Enginyeria Quimica, Universitat Rovira i Virgili, Avenida Països Catalans 26, 43007 Tarragona, Spain
| | - Rubén Ruiz-Femenia
- Institute of Chemical Process Engineering, University of Alicante, PO 99, E-3080 Alicante, Spain
| | - Laureano Jiménez
- Department d’Enginyeria Quimica, Universitat Rovira i Virgili, Avenida Països Catalans 26, 43007 Tarragona, Spain
| | - José A. Caballero
- Institute of Chemical Process Engineering, University of Alicante, PO 99, E-3080 Alicante, Spain
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Limleamthong P, Guillén-Gosálbez G. Mixed-Integer Programming Approach for Dimensionality Reduction in Data Envelopment Analysis: Application to the Sustainability Assessment of Technologies and Solvents. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b05284] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Phantisa Limleamthong
- Centre for Process Systems Engineering, Imperial College of Science, Technology and Medicine, South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Gonzalo Guillén-Gosálbez
- Centre for Process Systems Engineering, Imperial College of Science, Technology and Medicine, South Kensington Campus, London, SW7 2AZ, United Kingdom
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Medina-González S, Espuña A, Puigjaner L. An efficient uncertainty representation for the design of sustainable energy generation systems. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2017.11.044] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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Modified Principal Component Analysis for Identifying Key Environmental Indicators and Application to a Large-Scale Tidal Flat Reclamation. WATER 2018. [DOI: 10.3390/w10010069] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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13
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Using Pareto filters to support risk management in optimization under uncertainty: Application to the strategic planning of chemical supply chains. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2016.10.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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14
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Hennen M, Postels S, Voll P, Lampe M, Bardow A. Multi-objective synthesis of energy systems: Efficient identification of design trade-offs. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2016.10.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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15
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Baker’s yeast invertase purification using Aqueous Two Phase System—Modeling and optimization with PCA/LS-SVM. FOOD AND BIOPRODUCTS PROCESSING 2017. [DOI: 10.1016/j.fbp.2016.11.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Steinmann ZJN, Schipper AM, Hauck M, Huijbregts MAJ. How Many Environmental Impact Indicators Are Needed in the Evaluation of Product Life Cycles? ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:3913-9. [PMID: 26963880 DOI: 10.1021/acs.est.5b05179] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Numerous indicators are currently available for environmental impact assessments, especially in the field of Life Cycle Impact Assessment (LCIA). Because decision-making on the basis of hundreds of indicators simultaneously is unfeasible, a nonredundant key set of indicators representative of the overall environmental impact is needed. We aimed to find such a nonredundant set of indicators based on their mutual correlations. We have used Principal Component Analysis (PCA) in combination with an optimization algorithm to find an optimal set of indicators out of 135 impact indicators calculated for 976 products from the ecoinvent database. The first four principal components covered 92% of the variance in product rankings, showing the potential for indicator reduction. The same amount of variance (92%) could be covered by a minimal set of six indicators, related to climate change, ozone depletion, the combined effects of acidification and eutrophication, terrestrial ecotoxicity, marine ecotoxicity, and land use. In comparison, four commonly used resource footprints (energy, water, land, materials) together accounted for 84% of the variance in product rankings. We conclude that the plethora of environmental indicators can be reduced to a small key set, representing the major part of the variation in environmental impacts between product life cycles.
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Affiliation(s)
- Zoran J N Steinmann
- Department of Environmental Science, IWWR, Radboud University , 6525 AJ Nijmegen, The Netherlands
| | - Aafke M Schipper
- Department of Environmental Science, IWWR, Radboud University , 6525 AJ Nijmegen, The Netherlands
| | - Mara Hauck
- Climate, Air and Sustainability, TNO, Princetonlaan 6, 3584 CB Utrecht, The Netherlands
| | - Mark A J Huijbregts
- Department of Environmental Science, IWWR, Radboud University , 6525 AJ Nijmegen, The Netherlands
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17
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Pintarič ZN, Kravanja Z. The importance of proper economic criteria and process modeling for single- and multi-objective optimizations. Comput Chem Eng 2015. [DOI: 10.1016/j.compchemeng.2015.02.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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18
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Santibañez-Aguilar JE, Rivera-Toledo M, Flores-Tlacuahuac A, Ponce-Ortega JM. A mixed-integer dynamic optimization approach for the optimal planning of distributed biorefineries. Comput Chem Eng 2015. [DOI: 10.1016/j.compchemeng.2015.05.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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19
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On the use of filters to facilitate the post-optimal analysis of the Pareto solutions in multi-objective optimization. Comput Chem Eng 2015. [DOI: 10.1016/j.compchemeng.2014.12.012] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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20
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Sahebi H, Nickel S, Ashayeri J. Environmentally Conscious Design of Upstream Crude Oil Supply Chain. Ind Eng Chem Res 2014. [DOI: 10.1021/ie403492c] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hadi Sahebi
- School of Industrial Engineering, Iran University of Science & Technology, Naarmak, 16846-13114 Tehran, Iran
- Department
of Economics and Management, Karlsruhe Institute of Technology, Englerstr.
11, 76131 Karlsruhe, Germany
| | - Stefan Nickel
- Department
of Economics and Management, Karlsruhe Institute of Technology, Englerstr.
11, 76131 Karlsruhe, Germany
| | - Jalal Ashayeri
- Tilburg
School of Economics and Management, Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands
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21
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Sabio N, Pozo C, Guillén-Gosálbez G, Jiménez L, Karuppiah R, Vasudevan V, Sawaya N, Farrell JT. Multiobjective optimization under uncertainty of the economic and life-cycle environmental performance of industrial processes. AIChE J 2014. [DOI: 10.1002/aic.14385] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Nagore Sabio
- Departament d'Enginyeria Química; Universitat Rovira i Virgili; 43007 Tarragona Spain
| | - Carlos Pozo
- Departament d'Enginyeria Química; Universitat Rovira i Virgili; 43007 Tarragona Spain
| | | | - Laureano Jiménez
- Departament d'Enginyeria Química; Universitat Rovira i Virgili; 43007 Tarragona Spain
| | - Ramkumar Karuppiah
- Corporate Strategic Research; ExxonMobil Research and Engineering; Annandale NJ 08801
| | - Venkatesh Vasudevan
- Corporate Strategic Research; ExxonMobil Research and Engineering; Annandale NJ 08801
| | - Nicolas Sawaya
- Corporate Strategic Research; ExxonMobil Research and Engineering; Annandale NJ 08801
| | - John T. Farrell
- Corporate Strategic Research; ExxonMobil Research and Engineering; Annandale NJ 08801
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22
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MILP-based clustering method for multi-objective optimization: Application to environmental problems. Comput Chem Eng 2013. [DOI: 10.1016/j.compchemeng.2013.05.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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23
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Čuček L, Klemeš JJ, Varbanov PS, Kravanja Z. Dealing with High-Dimensionality of Criteria in Multiobjective Optimization of Biomass Energy Supply Network. Ind Eng Chem Res 2013. [DOI: 10.1021/ie302599c] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Lidija Čuček
- Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia
| | - Jiří Jaromír Klemeš
- Centre for Process Integration
and Intensification−CPI2, Research Institute of
Chemical and Process Engineering−MŰKKI, Faculty of Information
Technology, University of Pannonia, Egyetem
utca 10, 8200 Veszprém, Hungary
| | - Petar Sabev Varbanov
- Centre for Process Integration
and Intensification−CPI2, Research Institute of
Chemical and Process Engineering−MŰKKI, Faculty of Information
Technology, University of Pannonia, Egyetem
utca 10, 8200 Veszprém, Hungary
| | - Zdravko Kravanja
- Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia
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Kostin A, Guillén-Gosálbez G, Mele FD, Jiménez L. Identifying Key Life Cycle Assessment Metrics in the Multiobjective Design of Bioethanol Supply Chains Using a Rigorous Mixed-Integer Linear Programming Approach. Ind Eng Chem Res 2012. [DOI: 10.1021/ie2027074] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- A. Kostin
- Departament d’Enginyeria
Química (EQ), Escola Tècnica Superior d’Enginyeria
Química (ETSEQ), Universitat Rovira i Virgili (URV), Campus
Sescelades, Avinguda Països Catalans, 26, 43007 Tarragona,
Spain
| | - G. Guillén-Gosálbez
- Departament d’Enginyeria
Química (EQ), Escola Tècnica Superior d’Enginyeria
Química (ETSEQ), Universitat Rovira i Virgili (URV), Campus
Sescelades, Avinguda Països Catalans, 26, 43007 Tarragona,
Spain
| | - F. D. Mele
- Dpto. Ingeniería
de Procesos,
FACET, Universidad Nacional de Tucumán (UNT), Av. Independencia
1800, S. M. de Tucumán T4002BLR, Argentina
| | - L. Jiménez
- Departament d’Enginyeria
Química (EQ), Escola Tècnica Superior d’Enginyeria
Química (ETSEQ), Universitat Rovira i Virgili (URV), Campus
Sescelades, Avinguda Països Catalans, 26, 43007 Tarragona,
Spain
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