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Cost-constrained low-carbon product design

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Abstract

Low-carbon design is a design process for a product with the consideration of greenhouse gas emissions during its entire life cycle, which has an essential effect on product carbon footprint. However, existing approaches for low-carbon product design are either inextensible to achieve low-carbon design solutions in product life cycle or prone to a loss of optimal solutions under the dual consideration of carbon footprint and cost in product life cycle. This paper is devoted to a systematic Lagrange Relaxation-based approach to cost-constrained low-carbon product design for product life cycle. After the calculation model of carbon footprint for product life cycle is proposed, network-based representation model for low-carbon product design under the consideration of carbon footprint and cost in product life cycle is proposed. A Lagrange Relaxation-based constrained shortest path algorithm is then applied to produce design solutions with the consideration of carbon footprint and cost in product life cycle. The cost-constrained low-carbon product design of cold heading machine tool is given as an example, which demonstrates that the methodology is helpful to produce valuable solutions with the dual consideration of product carbon footprint and cost in product life cycle.

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References

  1. EIA (2006) 2002 Manufacturing Energy Consumption Survey. http://www.eia.gov/consumption/manufacturing/

  2. Intergovernmental Panel on Climate Change (2007) Climate change 2007-Mitigation of climate change: Working Group III contribution to the fourth assessment report of the IPCC. Cambridge University Press, New York

  3. Breidenich C, Magraw D, Rowley A, Rubin JW (1998) The Kyoto Protocol to the United Nations framework convention on climate change. Am J Int Law 92:315–331

    Article  Google Scholar 

  4. Wiedmann T, Minx J (2008) A definition of ‘carbon footprint’. Ecological economics research trends. In: Wackernagel M, Rees W (eds) Our ecological footprint: reducing human impact on the earth, vol 1. New Society Publishers, Gabriola Island, pp 1–11

  5. BSI PAS 2050 (2011) How to carbon your product footprint, identify hotspots and reduce your emission in the supply chain. In: The Guide to PAS2050–2011

  6. International Standard Organization, ISO14040 (2006) Environmental management-life cycle assessment: principles and framework. International Organization for Standardization, Geneva

  7. Weidema BP, Thrane M, Christensen P (2008) Carbon footprint—a catalyst for life cycle assessment. J Ind Ecol 12(1):3–6

    Article  Google Scholar 

  8. Campanelli M, Berglund J, Rachuri S (2011) Integration of life cycle inventories incorporating manufacturing unit processes. In: ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 985–995

  9. Yung WKC, Chan HK, Wong DWC, So JHT, Choi ACK, Yue TM (2009) Life cycle assessment of two personal electronic products—a note with respect to the energy-using product directive. Int J Adv Manuf Technol 42(3–4):415–419

    Article  Google Scholar 

  10. Omidvarnia F, Islam A, Hansen HN, Olsen SI (2013) A comparative study on life cycle assessment of micro and macro components. Int J Adv Manuf Technol 67(5–8):1171–1189

    Article  Google Scholar 

  11. Yang SC (2010) Knowledge-based methods for integrating carbon footprint prediction techniques into new product designs and engineering changes. Ph.D dissertation of University of Michigan

  12. Jeswiet J, Kara S (2008) Carbon emissions and CES™ in manufacturing. CIRP Ann Manuf Technol 57(1):17–20

    Article  Google Scholar 

  13. Elhedhli S, Merrick R (2012) Green supply chain network design to reduce carbon emissions. Transp Res D 17:370–379

    Article  Google Scholar 

  14. Ball PD, Evans S, Levers A, Ellison D (2009) Zero carbon manufacturing facility-towards integrating material, energy, and waste process flows. Proc Inst Mech Eng B J Eng Manuf 223(9):1085–1096

    Article  Google Scholar 

  15. Sundarakani B, Souza RD, Goh M, Wagner SM, Manikandan S (2010) Modeling carbon footprints across the supply chain. Int J Prod Econ 128(1):43–50

    Article  Google Scholar 

  16. Ameta G, Mani M, Rachuri S, Feng SC, Sriram RD, Lyons KW (2009) Carbon weight analysis for machining operation and allocation for redesign. Int J Sust Eng 2(4):241–251

    Article  Google Scholar 

  17. Joyce T, Okrasinski TA, Schaeffer W (2010) Estimating the carbon footprint of telecommunications products: a heuristic approach. J Mech Des 132(9):1–4

    Article  Google Scholar 

  18. He B, Deng ZQ, Huang S, Wang J (2014) Application of unascertained number for the integration of carbon footprint in conceptual design. Proc Inst Mech Eng Part B J Eng Manuf (in press) doi: 10.1177/0954405414539495

  19. Rotz CA, Montes F, Hianese DS (2010) The carbon footprint of dairy production systems through partial life cycle assessment. J Dairy Sci 93(3):1266–1282

    Article  Google Scholar 

  20. Li C, Tang Y, Cui L, et al (2015) A quantitative approach to analyze carbon emissions of CNC-based machining systems. J Intell Manuf (in press) doi:10.1007/s10845-013-0812-4

  21. Chiang TA, Trappey AJ, Ku CC (2006) Using a knowledge-based intelligent system to support dynamic design reasoning for a collaborative design community. Int J Adv Manuf Technol 31(5–6):421–433

  22. Chandrasegaran SK, Ramani K, Sriram RD, Horváth I, Bernard A, Harik RF et al (2013) The evolution, challenges, and future of knowledge representation in product design systems. Comput Aided Des 45(2):204–228

    Article  Google Scholar 

  23. Zarandi MHF, Mansour S, Hosseinijou SA, Avazbeigi M (2011) A material selection methodology and expert system for sustainable product design. Int J Adv Manuf Technol 57(9–12):885–903

    Article  Google Scholar 

  24. Eddy DC, Krishnamurty S, Grosse IR, Wileden JC, Lewis KE (2013) A normative decision analysis method for the sustainability-based design of products. J Eng Des 24(5):342–362

    Article  Google Scholar 

  25. Vinodh S, Jayakrishna K (2013) Assessment of product sustainability and the associated risk/benefits for an automotive organisation. Int J Adv Manuf Technol 66(5-8):733-740

  26. Bocken NMP, Allwood JM, Willey AR, King JMH (2011) Development of an eco-ideation tool to identify stepwise greenhouse gas emissions reduction options for consumer goods. J Clean Prod 19:1279–1287

    Article  Google Scholar 

  27. Song JS, Lee KM (2010) Development of a low-carbon product design system based on embedded GHG emissions. Resour Conserv Recycl 54(9):547–556

    Article  Google Scholar 

  28. Kuo TC (2013) The construction of a collaborative framework in support of low carbon product design. Robot Comput Integr Manuf 29(44):174–183

    Article  Google Scholar 

  29. Qi Y, Wu X (2011) Low-carbon technologies integrated innovation strategy based on modular design. Energy Procedia 5:2509–2515

    Article  MathSciNet  Google Scholar 

  30. Pasqualino J, Meneses M, Castells F (2011) The carbon footprint and energy consumption of beverage packaging selection and disposal. Int J Food Eng 103(4):357–365

    Article  Google Scholar 

  31. Choi TM (2013) Carbon footprint tax on fashion supply chain systems. Int J Adv Manuf Technol 68(1–4):835–847

    Article  Google Scholar 

  32. Ullman DG (1997) The mechanical design process, 2nd edn. McGraw-Hill, New York

    Google Scholar 

  33. Shehab E, Abdalla H (2002) An intelligent knowledge-based system for product cost modelling. Int J Adv Manuf Technol 19(1):49–65

  34. Feng CXJ, Kusiak A, Huang CC (1996) Cost evaluation in design with form features. Comput Aided Des 28(11):879–885

    Article  Google Scholar 

  35. Xu Y, Elgh F, Erkoyuncu JA, Bankole O, Goh Y, Cheung WM et al (2012) Cost engineering for manufacturing: current and future research. Int J Comput Integr Manuf 25:300–314

    Article  Google Scholar 

  36. Locasio A (2000) Manufacturing cost modeling for product design. Int J Flex Manuf Syst 12:207–217

    Article  Google Scholar 

  37. Saravi M, Newnes LB, Mileham AR, Goh, YM, Morton K (2013) Using Taguchi method to optimise performance and product cost at the conceptual stage of design. Proc Inst Mech Eng Part B J Eng Manuf 227(9):1360–1372

  38. Geiger TS, Dilts DM (1996) Automated design-to-cost: integrating costing into the design decision. Comput Aided Des 28(6):423–438

    Article  Google Scholar 

  39. Xiao Y, Thulasiraman K, Xue G, Jüttner A (2005) The constrained shortest path problem: algorithmic approaches and an algebraic study with generalization. AKCE Int J Graphs Comb 2(2):63–86

    MathSciNet  MATH  Google Scholar 

  40. Handler GY, Zang I (1980) A dual algorithm for the constrained shortest path problem. Networks 10(4):293–309

    Article  MathSciNet  Google Scholar 

  41. Aneja YP, Nair KPK (1978) The constrained shortest path problem. Nav Res Logist Q 25(3):549–555

    Article  MathSciNet  MATH  Google Scholar 

  42. Hamzheei M, Farahani RZ, Rashidi-Bajgan H (2013) An ant colony-based algorithm for finding the shortest bidirectional path for automated guided vehicles in a block layout. Int J Adv Manuf Technol, 64(1-4) 399–409

  43. Aminnayeri M, Biukaghazadeh P (2012) Robust clustering approach for the shortest path problem on finite capacity fuzzy queuing network. Int J Adv Manuf Technol 61(5-8):745–755

  44. Juttner A, Szviatovski B, Mécs I, Rajkó Z (2001) Lagrange relaxation based method for the QoS routing problem. INFOCOM 2001. Twentieth Annual Joint Conference of IEEE Computer and Communications Societies 2: 859–868

  45. Eggleston S, Buendia L, Miwa K, Ngara T, Tanabe K (2006) IPCC guidelines for national greenhouse gas inventories. Institute for global environmental strategies, Hayama

    Google Scholar 

  46. Michael RG, David SJ (1979) Computers and intractability: a guide to the theory of NP-completeness. WH Freeman & Co., San Francisco

    MATH  Google Scholar 

  47. Fisher ML (2004) The Lagrangian Relaxation method for solving integer programming problems. Manag Sci 50(12s):1861–1871

    Article  Google Scholar 

  48. Dijkstra EW (1959) A note on two problems in connexion with graphs. Numer Math 1(1):269–271

    Article  MathSciNet  MATH  Google Scholar 

  49. He B, Wang J (2014) Report on cold heading machine. Shanghai University

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Authors and Affiliations

  1. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, 149 Yanchang Rd, Shanghai, 200072, China

    Bin He, Jun Wang & Zhongqiang Deng

Authors
  1. Bin He
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  2. Jun Wang
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  3. Zhongqiang Deng
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Correspondence to Bin He.

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He, B., Wang, J. & Deng, Z. Cost-constrained low-carbon product design. Int J Adv Manuf Technol 79, 1821–1828 (2015). https://doi.org/10.1007/s00170-015-6947-z

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  • DOI: https://doi.org/10.1007/s00170-015-6947-z

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