Abstract
Life cycle assessment (LCA) frameworks are widely used to assess the sustainability of manufacturing processes. Although they have several advantages such as systematic estimation and efficiency, they have significant limitations due to a lack of functionality to perform sustainability analysis. Specifically, they do not fully support dynamic and diverse characteristics of manufacturing processes nor cover technical details for the further analysis, such as simulation, prediction, and optimization. In addition, they do not provide a unified modeling environment in which to perform various sustainability analysis tasks. In this paper, a decision-guidance framework has been presented to improve sustainability in manufacturing processes while addressing the deficiencies in existing LCA frameworks. The proposed framework consists of six phases: goal and scope definition, data collection, model generation, sustainability performance analysis, interpretation, and decision support and guidance, which is designed in terms of functionality, usability, flexibility/reusability, and interoperability. To demonstrate the use of the framework, a case study of a turning process has been performed.
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References
Bordt M (2009) Presentation on the OECD sustainable manufacturing toolkit at the Sustainability and U.S. Competiveness Summit, Washington, D.C., October 8
Duflou JR, Kellens K, Dewulf W (2011) Unit process impact assessment for discrete part manufacturing: a state of the art. CIRP J Manuf Sci Technol 4(2):129–135
SMLC (Smart manufacturing Leadership Coalition) (2011) Implementing 21st century smart manufacturing. Workshop Summary Report, https://smart-process-manufacturing.ucla.edu/about/news/Smart%20Manufacturing%206_24_11.pdf
Zhao F, Sutherland J, Handwerker C, Choi JK, Kim H, Ramani K, Ramanujan D, Bernstein WZ, Thurston D (2010) Integrated sustainable life cycle design: a review. J Mech Des 32(9):091004–091004-15
CO2PE! Cooperative effort on process emissions in manufacturing website, http://www.mech.kuleuven.be/co2pe
EcoInvent. Ecoinvent Centre, Swiss Centre for Life Cycle Inventories, available from http://www.ecoinvent.ch
Hauschild M, Jeswiet J, Alting L (2005) From life cycle assessment to sustainable production: status and perspectives. CIRP Ann Manuf Technol 54(2):1–21
Kellens K, Dewulf W, Overcash M, Hauschild M, Duflou JR (2011) Methodology for systematic analysis and improvement of manufacturing unit process life cycle inventory (UPLCI) part 1: methodology description. Int J Life Cycle Ass 17(1):69–78
Kellens K, Dewulf W, Overcash M, Hauschild M, Duflou JR (2012) Methodology for systematic analysis and improvement of manufacturing unit process life cycle inventory (UPLCI)—part 2: case studies. Int J Life Cycle Ass 17(2):242–251
Pusavec F, Krajnik P, Kopac J (2010) Transitioning to sustainable production—part I: application on machining technologies. J Clean Prod 18(2):174–184
Pusavec F, Kramar D, Krajnik P, Kopac J (2010) Transitioning to sustainable production—part II: evaluation of sustainable machining technologies. J Clean Prod 18(12):1211–1221
Wang Q, Liu F, Li C (2013) An integrated method for assessing the energy efficiency of machining workshop. J Clean Prod 52:122–133
Arena M, Azzone G, Conte A (2013) A streamlined LCA framework to support early decision making in vehicle development. J Clean Prod 41:105–113
Yilmaz O, Anctil A, Karanfil T (2014) LCA as a decision support tool for evaluation of best available techniques (BATs) for cleaner production of iron casting. J Clean Prod Available online
Egbue O, Wang E, Eseonu C (2014) A lean life cycle framework for assessing product sustainability. Proceedings of the 2014 Industrial and Systems Engineering Research Conference, Montreal, Canada
Jawahir IS, Dillon Jr OW (2007) Sustainable manufacturing processes: new challenges for developing predictive models and optimization techniques. In: Proceedings of the First International Conference on Sustainable Manufacturing SM1, Montreal, Canada, pp. 1–15
Vinodh S, Jayakrishna K, Kumar V, Dutta R (2014) Development of decision support system for sustainability evaluation: a case study. Clean Technol Environ Policy 16(1):163–174
Hermann BG, Kroeze C, Jawjit W (2007) Assessing environmental performance by combining life cycle assessment, multi-criteria analysis and environmental performance indicators. J Clean Prod 15(18):1787–1796
Jiang Z, Zhang H, Sutherland JW (2012) Development of an environmental performance assessment method for manufacturing process plans. Int J Adv Manuf Technol 58(5–8):783–790
Avram O, Stroud I, Xirouchakis P (2011) A multi-criteria decision method for sustainability assessment of the use phase of machine tool systems. Int J Adv Manuf Technol 53(5–8):811–828
Lu T, Gupta A, Jayal AD, Badurdeen F, Feng SC, Dillon OW, Jawahir IS (2010) A framework of product and process metrics for sustainable manufacturing. Proceedings of the Eighth International Conference on Sustainable Manufacturing, November 22–24, Abu Dhabi
Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester
Chandrasekaran M, Muralidhar M, Krishna CM, Dixit US (2010) Application of soft computing techniques in machining performance prediction and optimization: a literature review. Int J Adv Manuf Technol 46(5–8):445–464
Bohringer C, Jochem PEP (2007) Measuring the immeasurable—a survey of sustainability indices. Ecol Econ 63:1–8
Brodsky A, Shao G, Riddick F (2014) Process analytics formalism for decision guidance in sustainable manufacturing. J Intell Manuf. doi:10.1007/s10845-014-0892-9
Roy CJ, Oberkampf WL (2011) A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing. Comput Method Appl M 200(25–28):2131–2144
Shin SJ (2010) Development of framework for green productivity enhancement and its application to machining system. Pohang University of Science and Technology. Ph.D. thesis
SimaPro, http://www.simapro.co.uk/
Hentenryck PV (1999) The OPL optimization programming language. January 8, 1999, MIT Press
Goedkoop M, Spriensma R (2001) The Eco-indicator99: a damage oriented method for life cycle impact assessment: methodology annex. PRé Consultant B.V., pp. 1–144
Kalpakjian S, Schmid S (2013) Manufacturing engineering & technology. Education, Pearson
Myers RH, Anderson-Cook CM (2009) Response surface methodology: process and product optimization using designed experiments. John Wiley & Sons
IBM ILOG CPLEX Optimization Studio, http://www-01.ibm.com/software/integration/optimization/cplex-optimization-studio/
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Kim, D.B., Shin, SJ., Shao, G. et al. A decision-guidance framework for sustainability performance analysis of manufacturing processes. Int J Adv Manuf Technol 78, 1455–1471 (2015). https://doi.org/10.1007/s00170-014-6711-9
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DOI: https://doi.org/10.1007/s00170-014-6711-9