Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Cloud-based design for disassembly to create environmentally friendly products

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

To date, environmental awareness and government regulations have made businesses more responsible for waste disposal. From the product development standpoint, particularly in the design phase, disassembly factors including component disassemblability and recyclable component classification require further investigation. There has, however, been little literature survey focusing on disassemblability enhancement at the product design stage with the disassembly guidelines. In addition, cloud computing enables many applications of Web services and rekindles the interest of providing design services via the Internet. Recent research indicates that design delivered through cloud computing will outperform the traditional IT offers. In this study, the proposed methodology provides an total solution, which is able to: (1) Model the relationship of components and modularity, (2) explore component disassemblability and identify modules, (3) recognize disassembly patterns, (4) provide disassembly guidelines and recyclable component classification to instruct how to disassemble components, and (5) based on a cloud computing architecture, designers exchange and store their design information and knowledge for new sustainable product development. A case in electronic industry is studied and the results show that these companies are brought into conformance with environmental regulations, thereby enhancing product reuse, reduce, recycle, and reducing the disassembly time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Andreadis, G., Fourtounis, G., & Bouzakis, K. D. (2015). Collaborative design in the era of cloud computing. Advances in Engineering Software, 81, 66–72.

    Article  Google Scholar 

  • Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., & Konwinski, A. (2010). A view of cloud computing. Communication ACM, 53(4), 50–58.

    Article  Google Scholar 

  • Autodesk. (2014). Available from https://www.autocad360.com/.

  • Banda, K., & Zeid, I. (2006). To disassemble or not: A computational methodology for decision making. Journal of Intelligent Manufacturing, 17, 621–634.

    Article  Google Scholar 

  • Bogue, R. (2007). Design for disassembly: A critical twenty-first century discipline. Assembly Automation, 27(4), 285–289.

    Article  Google Scholar 

  • Brennan, L., Gupta, S. M., & Taleb, K. N. (1994). Operations planning issues in an assembly/disassembly environment. International Journal of Operations and Production Management, 14(9), 57–57.

    Article  Google Scholar 

  • Catteddu, D., & Hogben, G. (2009). Cloud computing: Benefits, risks and recommendations for information security. In European Network and Information Security Agency (ENISA) (pp. 1–125).

  • Chiodo, J. (2005). Design for disassembly guidelines. Active Disassembly Research. http://www.activedisassembly.com/guidelines/ADR_050202_DFD-guidelines.pdf.

  • Chu, C. H., Luh, Y. P., Li, T. C., & Chen, H. (2009). Economical green product design based on simplified computer-aided product structure variation. Computers in Industry, 60(7), 485–500.

    Article  Google Scholar 

  • Das, S. K., Yedlarajiah, P., & Narendra, R. (2000). An approach for estimating the end-of-life product disassembly effort and cost. International Journal of Production Research, 38(3), 657–673.

    Article  Google Scholar 

  • Deniz, D., & Seçkin, Y. (2002). Sustainability and environmental issues in industrial product design. İzmir: İzmir Institute of Technology.

    Google Scholar 

  • Fuh, J. Y., & Li, W. D. (2005). Advances in collaborative CAD: The-state-of-the art. Computer Aided Design, 37(5), 571–581.

    Article  Google Scholar 

  • Gershenson, J. K., Prasad, G. J., & Zhang, Y. (2003). Product modularity: Definitions and benefits. Journal of Engineering design, 14(3), 295–313.

    Article  Google Scholar 

  • Giudice, F., & Kassem, M. (2009). End-of-life impact reduction through analysis and redistribution of disassembly depth: A case study in electronic device redesign. Computers and Industrial Engineering, 57, 677–690.

    Article  Google Scholar 

  • González, B., & Adenso-Díaz, B. (2005). A bill of materials-based approach for end-of-life decision making in design for the environment. International Journal of Production Research, 43(10), 2071–2099.

  • Gunasekaran, A., & Spalanzani, A. (2012). Sustainability of manufacturing and services: Investigations for research and applications. International Journal of Production Economics, 140(1), 35–47.

    Article  Google Scholar 

  • Güngör, A. (2006). Evaluation of connection types in design for disassembly (DFD) using analytic network process. Computers and Industrial Engineering, 50(1–2), 35–54.

    Article  Google Scholar 

  • Gupta, S. M., & Argon, G. (2005). Modeling of disassembly and associated token ring (Vol. 70). Gupta Publications.

  • Hassini, E., Surti, C., & Searcy, C. (2012). A literature review and a case study of sustainable supply chains with a focus on metrics. International Journal of Production Economics, 140(1), 69–82.

    Article  Google Scholar 

  • Hitomi, K. (1991). Strategic integrated manufacturing systems: The concept and structures. International Journal of Production Economics, 25(1–3), 5–12.

    Article  Google Scholar 

  • Huang, C.-C., & Tseng, T.-L. B. (2004). Rough set approach to case-based reasoning application. Expert Systems with Applications, 26(3), 369–385.

    Article  Google Scholar 

  • Ilgin, M. A., & Gupta, S. M. (2010). Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. Journal of Environmental Management, 91(3), 563–591.

    Article  Google Scholar 

  • Ishii, K. (1998). Modularity: A key concept in product life-cycle engineering. In A. Molina & A. Kusiak (Eds.), Handbook of life cycle enterprise. Dordrecht: Kluwer Academic.

    Google Scholar 

  • Khalfallah, N., Figay, N., Da Silva, C. F., & Ghodous, P. (2014). A cloud-based platform to ensure interoperability in aerospace industry. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0897-4.

  • Kim, T. U., Shin, J. W., & Hwang, I. H. (2007). Stacking sequence design of a composite wing under a random gust using a genetic algorithm. Computers and Structures, 85, 579–585.

    Article  Google Scholar 

  • Kuo, T. C. (2006). Enhancing disassembly and recycling planning using life-cycle analysis. Robotics and Computer-Integrated Manufacturing, 22(5–6), 420–428.

    Article  Google Scholar 

  • Kusiak, A. (1999). Engineering design: Products, processes, and systems. London: Academic Press.

    Google Scholar 

  • Kwak, M. J., Hong, Y. S., & Cho, N. W. (2009). Eco-architecture analysis for end-of-life decision making. International Journal of Production Research, 47, 6233–6259.

    Article  Google Scholar 

  • Li, J. R., Li, P. K., & Tor, S. B. (2006). Generation of possible multiple components disassembly sequence for maintenance using a disassembly constrint graph. International Journal of Production Economics, 102(1), 51–65.

    Article  Google Scholar 

  • Mascle, C. (2013). Design for rebirth (DFRb) and data structure. International Journal of Production Economics, 142(7), 235–246.

    Article  Google Scholar 

  • Mascle, C., & Zhao, H. P. (2008). Integrating environmental consciousness in product/process development based on life-cycle thinking. International Journal of Production Economics, 112(1), 5–17.

    Article  Google Scholar 

  • Mohammad, A. F., Dargham, J., Mcheick, H., & Noor, A. T. (2013). Software evolution as SaaS: Evolution of intelligent design in cloud. Procedia Computer Science, 19, 486–493.

    Article  Google Scholar 

  • Rimal, B. P., Choi, E., & Lumb, I. (2009). A taxonomy and survey of cloud computing systems. In Proceedings of the 2009 fifth international joint conference on INC, IMS and IDC (pp. 44–51).

  • Sallai, J., Varga, G., Toth, S., Iacovella, C., Klein, C., McCabe, C., et al. (2014). Web-and cloud-based software infrastructure for materials design. Procedia Computer Science, 29, 2034–2034.

    Article  Google Scholar 

  • Sebastian, R. (2007). Managing collaborative design. The Netherlands: Eburon Academic Publishers.

    Google Scholar 

  • Shwetank, A., Mishra, P. K., & Rajeev, J. (2013). An AHP and PROMETHEE methods based environment friendly heuristic for disassembly line balancing problems. Interdisciplinary Environmental Review, 14(1), 69–85.

    Article  Google Scholar 

  • Smith, S. S., & Chen, W. H. (2011). Rule-based recursive selective disassembly sequence planning for green design. Advanced Engineering Informatics, 25(1), 77–77.

    Article  Google Scholar 

  • Smith, S., & Yen, C. C. (2010). Green product design through product modularization using atomic theory. Robotics and Computer-Integrated Manufacturing, 26(6), 790–798.

    Article  Google Scholar 

  • Tarantilis, C. D., Kiranoudis, C. T., & Theodorakopoulos, N. D. (2008). A Web-based ERP system for business services and supply chain management: Application to real-world process scheduling. European Journal of Operational Research, 187, 1310–1326.

    Article  Google Scholar 

  • Tuncel, E., Zeid, A., Kamarthi, S., Ulrich, K. T., & Pearson, S. A. (1993). Solving large scale disassembly line balancing problem with uncertainty using reinforcement learning. Journal of Intelligent Manufacturing, 25(4), 647–659.

    Article  Google Scholar 

  • Ulrich, K. T., & Tung, K., (1991). Fundamentals of product modularity issues in design/manufacture integration (pp. 73–79). Sharon, Ed. ASME, New York.

  • Villalba, G., Segarra, M., Chimenos, J. M., & Espiell, F. (2004). Using the recyclability index of materials as a tool for design for disassembly. Ecological Economics, 50(2), 195–200.

    Article  Google Scholar 

  • Viswanathan, S., & Allada, V. (2006). Product configuration optimization for disassembly planning: A differential approach. Omega, 34, 599–616.

    Article  Google Scholar 

  • Westkämper, E., Feldmann, K., Reinhart, G., & Seliger, G. (1999). Integrated development of assembly and disassembly. CIRP Annals Manufacturing Technology, 48(2), 557–565.

    Article  Google Scholar 

  • Wildeman, R. (2007). Design for manufacturability becomes a reality. Cambridge, MA: Forrester Research.

    Google Scholar 

  • Wu, W. W. (2011). Segmenting and mining the ERP users’ perceived benefits using the rough set approach. Expert Systems with Applications, 38(6), 6940–6948.

    Article  Google Scholar 

  • Wu, D., Rosen, D. W., & Schaefer, D. (2014). Cloud-based design and manufacturing: Status and promise. In D. Schaefer (Ed.), Cloud-based design and manufacturing: A service-oriented product development paradigm for the 21st century (p. 282). London, UK: Springer.

    Google Scholar 

  • Wu, D., Rosen, D. W., Wang, L., & Schaefer, D. (2015). Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation. Computer-Aided Design, 59, 1–14.

    Article  Google Scholar 

  • Xia, B., Zhou, B., Chen, C., & Zi, L. (2014). A generalized-exponential decomposition method for the analysis of inhomogeneous assembly/disassembly systems with unreliable machines and finite buffers. Journal of Intelligent Manufacturing, 31(4). doi:10.1007/s10845-014-0912-9.

  • Yi, Shan-Ru. (2012). The design for product disassembly based on modularity analysis. Thesis. Nation Chi Nan University, Taiwan.

Download references

Acknowledgments

This work was partially supported by funding from the Nation Science Council of the Republic of China (NSC 99-2410-H-018-016-MY3; NSC 99-2410-H-260-051-MY3; MOST 103-2410-H-018-015-MY2).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wen-Yau Liang.

Appendix: The guideline and recycle classification procedure

Appendix: The guideline and recycle classification procedure

figure a

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, CC., Liang, WY. & Yi, SR. Cloud-based design for disassembly to create environmentally friendly products. J Intell Manuf 28, 1203–1218 (2017). https://doi.org/10.1007/s10845-015-1093-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-015-1093-x

Keywords