Multicriteria Design of Plastic Recycling Based on Quality Information and Environmental Impacts

Summary In this study, we develop a framework for the multicriteria design of plastic recycling based on quality information and environmental impacts for the purpose of supporting collaborative decision making among consumers, municipalities, and recyclers. The subject of this article is the mechan...

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Published in:	Journal of industrial ecology Vol. 15; no. 2; pp. 228 - 244
Main Authors:	Nakatani, Jun, Hirao, Masahiko
Format:	Journal Article
Language:	English
Published:	Malden, USA Blackwell Publishing Inc 01.04.2011 Wiley Subscription Services, Inc
Subjects:	Carbon dioxide Carbon dioxide emissions Collaboration Consumers Consumption Criteria Decision making Design Environmental impact Fossils Group decision making industrial ecology life cycle management (LCM) Linear programming mechanical recycling mixed-integer linear programming (MILP) Monte Carlo simulation Plastics Plastics recycling Polyesters Polyethylene terephthalate polyethylene terephthalate (PET) Product lifecycle management quality demand Recycling Resource consumption Simulation Studies Wastes Japan
ISSN:	1088-1980, 1530-9290
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Abstract	Summary In this study, we develop a framework for the multicriteria design of plastic recycling based on quality information and environmental impacts for the purpose of supporting collaborative decision making among consumers, municipalities, and recyclers. The subject of this article is the mechanical recycling of postconsumer polyethylene terephthalate (PET) bottles. We present a “quality conversion matrix,” which links the quality of recycled PET resin to the quality of waste PET bottles and operational conditions, described in terms of the functions of modules constituting the entire recycling process. We estimate the quality of recycled PET resin and simulate the applicability to the intended products as the primary criterion by confirming whether the estimated quality of recycled resin satisfies the quality demands of PET resin users. The amounts of carbon dioxide (CO2) emissions and fossil resource consumption are also estimated as the secondary criteria. An approach to collaborative decision making utilizing mixed‐integer linear programming (MILP) and Monte Carlo simulation is proposed on the premise of different objectives of various stakeholders, where all the feasible optimal solutions for achieving the quality demands are obtained. The quality requirements of waste bottles, along with the CO2 emissions and fossil resource consumption estimated for each solution, contribute to the collaborative multicriteria design of plastic recycling.
AbstractList	Summary In this study, we develop a framework for the multicriteria design of plastic recycling based on quality information and environmental impacts for the purpose of supporting collaborative decision making among consumers, municipalities, and recyclers. The subject of this article is the mechanical recycling of postconsumer polyethylene terephthalate (PET) bottles. We present a “quality conversion matrix,” which links the quality of recycled PET resin to the quality of waste PET bottles and operational conditions, described in terms of the functions of modules constituting the entire recycling process. We estimate the quality of recycled PET resin and simulate the applicability to the intended products as the primary criterion by confirming whether the estimated quality of recycled resin satisfies the quality demands of PET resin users. The amounts of carbon dioxide (CO2) emissions and fossil resource consumption are also estimated as the secondary criteria. An approach to collaborative decision making utilizing mixed‐integer linear programming (MILP) and Monte Carlo simulation is proposed on the premise of different objectives of various stakeholders, where all the feasible optimal solutions for achieving the quality demands are obtained. The quality requirements of waste bottles, along with the CO2 emissions and fossil resource consumption estimated for each solution, contribute to the collaborative multicriteria design of plastic recycling. In this study, we develop a framework for the multicriteria design of plastic recycling based on quality information and environmental impacts for the purpose of supporting collaborative decision making among consumers, municipalities, and recyclers. The subject of this article is the mechanical recycling of postconsumer polyethylene terephthalate (PET) bottles. We present a quality conversion matrix, which links the quality of recycled PET resin to the quality of waste PET bottles and operational conditions, described in terms of the functions of modules constituting the entire recycling process. We estimate the quality of recycled PET resin and simulate the applicability to the intended products as the primary criterion by confirming whether the estimated quality of recycled resin satisfies the quality demands of PET resin users. The amounts of carbon dioxide (CO2) emissions and fossil resource consumption are also estimated as the secondary criteria. An approach to collaborative decision making utilizing mixed-integer linear programming (MILP) and Monte Carlo simulation is proposed on the premise of different objectives of various stakeholders, where all the feasible optimal solutions for achieving the quality demands are obtained. The quality requirements of waste bottles, along with the CO2 emissions and fossil resource consumption estimated for each solution, contribute to the collaborative multicriteria design of plastic recycling.
Author	Hirao, Masahiko Nakatani, Jun
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Cites_doi	10.1080/00207549508904802 10.1162/108819800569717 10.1016/j.cej.2003.08.019 10.1007/s11367-010-0189-y 10.3370/lca.4.67 10.1007/BF02978506 10.3985/jswme.12.229 10.1162/108819803766729186 10.1080/00207540801927183 10.1007/PL00013347 10.1162/jiec.1997.1.4.19 10.1287/mnsc.21.4.392 10.1287/opre.47.2.221 10.1080/03052150802294573 10.1016/j.energy.2006.07.035 10.1016/j.wasman.2007.02.015 10.1016/S0921-3449(98)00039-1 10.1016/j.ejor.2006.01.031 10.3370/lca.4.78 10.1007/s00291-003-0119-5 10.1016/0377-2217(94)00211-8 10.1205/psep.04142 10.1016/j.resconrec.2004.12.002 10.1016/S0278-6125(06)80032-4 10.1016/j.compchemeng.2009.05.017 10.1007/BF02978432
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References_xml	– reference: Bjorklund, A. and G. Finnveden. 2005. Recycling revisited: Life cycle comparisons of global warming impact and total energy use of waste management strategies. Resources, Conservation and Recycling 44(4): 309-317. – reference: Williams, J. A. S., S. Wongweragiat, X. Qu, J. B. McGlinch, W. Bonawi-tan, J. K. Choi, and J. Schiff. 2007. An automotive bulk recycling planning model. European Journal of Operational Research 177: 969-981. – reference: Arena, U., M. L. Mastellone, and F. Perugini. 2003b. Life cycle assessment of a plastic packaging recycling system. International Journal of Life Cycle Assessment 8(2): 92-98. – reference: Liberopoulos, G., G. Kozanidis, and O. Hatzikonstantinou. 2010. Production scheduling of a multi-grade PET resin plant. Computers and Chemical Engineering 34: 387-400. – reference: Sodhi, M. S. and B. Reimer. 2001. Models for recycling electronics end-of-life products. OR Spectrum 23: 97-115. – reference: Spengler, T., M. Ploog, and M. Schroter. 2003. Integrated planning of acquisition, disassembly and bulk recycling: a case study on electronic scrap recovery. OR Spectrum 25: 413-442. – reference: Boon, J. E., J. A. Isaacs, and S. M. Gupta. 2003. End-of-life infrastructure economics for "clean vehicles" in the United States. Journal of Industrial Ecology 7(1): 25-45. – reference: Council for PET Bottle Recycling, Japan. 2007. PET bottle recycle nenji houkoku-sho 2008 nendo-ban. [Annual report for PET bottle recycling 2007] Tokyo , Japan : Council for PET Bottle Recycling. – reference: Noda, R., M. Komatsu, and E. Sumi. 2001. Evaluation of material recycling for plastics: Environmental aspects. Journal of Material Cycles and Waste Management 3(2): 118-125. – reference: Lu, Q., J. A. S. Williams, M. Posner, W. Bonawi-tan, and X. Qu. 2006. Model-based analysis of capacity and service fees for electronics recyclers. Journal of Manufacturing Systems 25 (1): 45-57. – reference: Arena, U., M. L. Mastellone, and F. Perugini. 2003a. The environmental performance of alternative solid waste management options: A life cycle assessment study. Chemical Engineering Journal 96(1-3): 207-222. – reference: Hara, T., H. Shima, Y. Yoshida, and R. Matsuhashi. 2007. Model analysis of an inter-industrial and inter-regional waste recycling system in Japan. Energy 32: 609-618. – reference: Ekvall, T., G. Assefa, A. Bjorklund, O. Eriksson, and G. Finnveden. 2007. What life-cycle assessment does and does not do in assessments of waste management. Waste Management 27(8): 989-996. – reference: Nakatani, J., M. Fujii, Y. Moriguchi, and M. Hirao. 2010. Life-cycle assessment of domestic and transboundary recycling of post-consumer PET bottles. International Journal of Life Cycle Assessment 15(6): 590-597. – reference: Tsai, W. H. and S. J. Hung. 2009. Treatment and recycling system optimization with activity-cased costing in WEEE reverse logistics management: an environmental supply chain perspective. International Journal of Production Research 47 (19): 5391-5420. – reference: Boon, J. E., J. A. Isaacs, and S. M. Gupta. 2000. Economic impact of aluminum-intensive vehicles on the U.S. automotive recycling infrastructure. Journal of Industrial Ecology 4(2): 117-134. – reference: Tokai, A. and T. Furuichi. 2000. Evaluation of recycling policies for PET bottles based on multiattribute utility indices. Journal of Material Cycles and Waste Management 2(2): 70-79. – reference: Glassey, C. R. and V. K. Gupta. 1974. A linear programming analysis of paper recycling. Management Science 21(4): 392-408. – reference: Sugiyama, H., M. Hirao, R. Mendivil, U. Fischer, and K. Hungerbuhler. 2006. A hierarchical activity model of chemical process design based on life cycle assessment. 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Snippet	Summary In this study, we develop a framework for the multicriteria design of plastic recycling based on quality information and environmental impacts for the... In this study, we develop a framework for the multicriteria design of plastic recycling based on quality information and environmental impacts for the purpose...
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SubjectTerms	Carbon dioxide Carbon dioxide emissions Collaboration Consumers Consumption Criteria Decision making Design Environmental impact Fossils Group decision making industrial ecology life cycle management (LCM) Linear programming mechanical recycling mixed-integer linear programming (MILP) Monte Carlo simulation Plastics Plastics recycling Polyesters Polyethylene terephthalate polyethylene terephthalate (PET) Product lifecycle management quality demand Recycling Resource consumption Simulation Studies Wastes
Title	Multicriteria Design of Plastic Recycling Based on Quality Information and Environmental Impacts
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