Powiadomienia systemowe
- Sesja wygasła!
Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Designers are facing the principal problems of effective decision making at the initial design stage of product development, which ultimately contribute to profit loss, low quality and increased time to launch the product onto the market. It requires a lot of knowledge and experience. Tools are required to analyze and ensure that crucial decisions have strong foundation before implementation. Discrete event simulation provides such a tool and has got potential to assist in decision making before final implementation. This research work aims measuring the benefits of transformation to lean product development (LPD) via simulation. Simulink-MATLAB tool was used for this purpose. The whole work is limited to design and cost estimation cells of a manufacturing company and consists of two phases. The first phase deals with the assessment of current working model of design and cost estimation cells. The areas for improvements were recognized at this phase. The proposed model for transformation to LPD was developed in the second phase. Four lean enablers namely product values, knowledge-based engineering, set-based concurrent engineering and poke-yoke were incorporated to further enhance the operation of the proposed model. This research work constitutes a useful case for practitioners. Keywords: decision making, discrete event simulation, lean product development, lean enablers
Wydawca
Rocznik
Tom
Strony
128--137
Opis fizyczny
Bibliogr. 35 poz., fig., tab.
Twórcy
autor
- University of Engineering and Technology Taxila, Department of Engineering Management, Faculty of Industrial Engineering, 47080 Taxila, Pakistan
autor
- University of Engineering and Technology Taxila, Department of Engineering Management, Faculty of Industrial Engineering, 47080 Taxila, Pakistan
autor
- University of Engineering and Technology Taxila, Department of Engineering Management, Faculty of Industrial Engineering, 47080 Taxila, Pakistan
autor
- University of Engineering and Technology Taxila, Department of Engineering Management, Faculty of Industrial Engineering, 47080 Taxila, Pakistan
Bibliografia
- 1. Jani, S.Y. and T. Desai, Review of lean manufacturing practices-critical success factors and performance measures for SMEs. International Journal of Quality and Innovation, 2016. 3(1), 30-41.
- 2. Womack, J.P. and D.T. Jones, Lean thinking: banish waste and create wealth in your corporation. 2010: Simon and Schuster.
- 3. Esfandyari, A., et al., Application of value stream mapping using simulation to decrease production lead time: a Malaysian manufacturing case. International Journal of Industrial and Systems Engineering, 2011. 8(2), 230-250.
- 4. Mazzocato, P., et al., Lean thinking in healthcare: a realist review of the literature. Quality and Safety in Health Care, 2010. 19(5), 376-382.
- 5. Hines, P., M. Holweg, and N. Rich, Learning to evolve: a review of contemporary lean thinking. International journal of operations & production management, 2004. 24(10), 994-1011.
- 6. Danjou, C., et al. PLM-Based Approach for Integration of Product Safety in Lean Development. in IFIP International Conference on Product Lifecycle Management. 2016. Springer.
- 7. Baines, T., et al., State-of-the-art in lean design engineering: a literature review on white collar lean. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2006. 220(9), 1539-1547.
- 8. Melton, T., The benefits of lean manufacturing: what lean thinking has to offer the process industries. Chemical engineering research and design, 2005. 83(6), 662-673.
- 9. Hoppmann, J., et al., A framework for organizing lean product development. Engineering Management Journal, 2011. 23(1), 3-15.
- 10. Al-Ashaab, A., et al., Development and application of lean product development performance measurement tool. International Journal of Computer Integrated Manufacturing, 2016. 29(3), 342-354.
- 11. Khan, M.S., et al., Define value: applying the first lean principle to product development. International Journal of Industrial and Systems Engineering, 2015. 21(1), 1-30.
- 12. Aikhuele, D. and F. Turan, A subjective and objective fuzzy-based analytical hierarchy process model for prioritization of lean product development practices. Management Science Letters, 2017. 7(6), 297-310.
- 13. Khan, M.S., The construction of a model for lean product development. 2012.
- 14. Tortorella, G.L., et al., Lean Product Development (LPD) enablers for product development process improvement, in Research Advances in Industrial Engineering. 2015, Springer, 31-57.
- 15. Tortorella, G.L., et al., Relationships between lean product development enablers and problems. International Journal of Production Research, 2016. 54(10), 2837-2855.
- 16. Haque, B. and M. Moore, Measures of performance for lean product introduction in the aerospace industry. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2004. 218(10), 1387-1398.
- 17. León, H.C.M. and J.A. Farris, Lean product development research: Current state and future directions. Engineering Management Journal, 2011. 23(1), 29-51.
- 18. Anand, G. and R. Kodali, Development of a conceptual framework for lean new product development process. International Journal of Product Development, 2008. 6(2), 190-224.
- 19. Maksimovic, M., Lean knowledge life cycle framework to support lean product development. 2013.
- 20. Hines, P., M. Francis, and P. Found, Towards lean product lifecycle management: a framework for new product development. Journal of Manufacturing Technology Management, 2006. 17(7), 866-887.
- 21. Mohammadi, A., Lean product development-performance measurement system. 2010.
- 22. Al-Ashaab, A., et al., Lean product development performance measurement tool. 2013.
- 23. Aikhuele, D.O. and F.M. Turan. A Hybrid Fuzzy Model for Lean Product Development Performance Measurement. in IOP Conference Series: Materials Science and Engineering. 2016. IOP Publishing.
- 24. Müller-Stewens, B. and K. Möller, Performance in new product development: a comprehensive framework, current trends, and research directions. Journal of Management Control, 2017. 28(2), 157-201.
- 25. Sajid, M., et al., Manufacturing feature-based cost estimation of cast parts. China Foundry, 2018. 15(6), 464-469.
- 26. Zhang, B., Design and Implementation of an InfoStore for Key Performance Indicators. 2012.
- 27. Griffin, A., Metrics for measuring product development cycle time. Journal of product innovation management, 1993. 10(2), 112-125.
- 28. Wasim, A., et al., An innovative cost modelling system to support lean product and process development. The International Journal of Advanced Manufacturing Technology, 2013. 65(1-4), 165-181.
- 29. Driva, H., K. Pawar, and U. Menon, Measuring product development performance in manufacturing organisations. International Journal of Production Economics, 2000. 63(2), 147-159.
- 30. CIA, C., Developing a lean performance score. Strategic Finance, 2009. 91(3), p. 34.
- 31. Detty, R.B. and J.C. Yingling, Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study. International Journal of Production Research, 2000. 38(2), 429-445.
- 32. Bicheno, J. and M. Holweg, The Lean Toolbox. The Essential Guide to Lean Transformation, Buckingham. 2009, Picsie Books.
- 33. Kasivisvanathan, R. and A. Chekairi, The productive operating theatre and lean thinking systems. Journal of perioperative practice, 2014. 24(11), 245-248.
- 34. Radeka, K., The Toyota product development system: integrating people, process and technology by James M. Morgan and Jeffrey K. Liker. Journal of Product Innovation Management, 2007. 24(3), 276-278.
- 35. Mele, C., The synergic relationship between TQM and marketing in creating customer value. Managing Service Quality: An International Journal, 2007. 17(3), 240-258.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d272be72-ca93-4631-8942-c00be6db103c