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Relationship Between Product Performance and Lean Product Development Tool

Received: 8 June 2020    Accepted: 22 June 2020    Published: 5 August 2020
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Abstract

In today’s global economy, the introduction of new methods, designs, products and processes have been accelerating in geometric progression due to changing consumers’ needs in the face of global competitions and technological advancement in product development. Product development managers and design stakeholders are facing real pressure to continuously adopt new system architecture and operational parameters to remain competitive. The viability of the product development and manufacturing firm now depends largely on how well they are able to respond to these changes in order to meet the customer requirements while becoming lean. The study will also provide a tool for monitoring the relationship between product performance and the Lean Product Development Tool (LPDT). It evaluates the relationship between Maggi spice production, of a Consolidated Foods Limited, in Nigeria and its relationship with DMAIC (Define, Measure, Analyse, Improve and Control) model, a lean six sigma tool, for evaluating root causes of product defects. At the end of the lean implementation, product performance of the pilot line, Omori Line 1 increases from 60% to 76% and a cost savings of NGR 12.03 million were realized at the end of the project.

Published in American Journal of Mechanical and Industrial Engineering (Volume 5, Issue 3)
DOI 10.11648/j.ajmie.20200503.11
Page(s) 31-43
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Product Development, DMAIC Model, Product Defects, Lean Six Sigma Tool

References
[1] Aikhuele, D. O., & Turan, F. M. (2016). A Hybrid Fuzzy Model for Lean Product Development Performance Measurement. IOP Conference Series: Materials Science and Engineering, 114 (1), 012048.
[2] Shafer, S. M. and Moeller, S. B. (2012) ‘The effects of Six Sigma on corporate performance: an empirical investigation’, Journal of Operations Management, Vol. 30, Nos. 7–8, pp. 521–532.
[3] Black, K. and Revere, L. (2006) ‘Six Sigma arises from the ashes of TQM with a twist’, International Journal of Health Care Quality Assurance, Vol. 19, Nos. 2–3, pp. 259–266.
[4] Markarian, J. (2004) ‘Six Sigma: quality processing through statistical analysis’, Plastics, Additives and Compounding, Vol. 6, No. 4, pp. 28–31.
[5] Pan, Z., Ryu, H. and Baik, J. (2007) ‘A case study: CRM adoption success factor analysis and Six Sigma DMAIC application’, 5th Acis International Conference on Software Engineering Research, Management and Applications, SERA 2007, IEEE, 20–22 August, Busan, South Korea, pp. 828–838.
[6] Deshmukh, S. and Lakhe, R. (2008) ‘Six Sigma-an innovative approach for waste reduction: a case study of an Indian SME’, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 IEEE, 8–11 December, Singapore, pp. 1553–1556.
[7] Meng, L., Lu, C., Xi, X. and Zhang, G. (2011) ‘Application of Six Sigma method in improving the quality of box parts’, International Conference on Electronic and Mechanical Engineering and Information Technology (EMEIT), IEEE, 12–14 August, Harbin, China, pp. 4158–4161.
[8] Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management (Vol. 21).
[9] Pavnaskar, S., Gershenson, J. (2005), “A systematic method for leaning engineering processes” Proceedings of the ASME- Design Engineering Technical Conferences, Long Beach, CA, USA.
[10] Meybodi, M. Z. (1995). The impact of just-in-time practices on new product development : a managerial perspective, X (X).
[11] Meybodi, M. Z. (2003). Using principles of just-in-time to improve new product development process. Advances in Competitiveness Research (Vol. 3).
[12] Abdallah, A. B., & Matsui, Y. (2007). The relationship between JIT production and Manufacturing strategy and their impact on JIT performance. In Proceedings of the 18th Annual Conference of Production and Operations Management Society (pp. 1–35).
[13] Hensley, R. L. and Dobie, K. (2005) ‘Assessing readiness for Six Sigma in a service setting’, Managing Service Quality: An McManus, H. (2005). Product Development Value Stream Mapping (PDVSM) Manual Release 1.0. Massachusetts Institute of Technology, (September).
[14] McManus, H. (2005). Product Development Value Stream Mapping (PDVSM) Manual Release 1.0. Massachusetts Institute of Technology, (September).
[15] Graebsch, M., Seering, W. P., & Lindemann, U. (2007). Assessing Information Waste in Lean Product Development. Proceedings of the International Conference on Engineering Design (ICED), (August), 1-12.
[16] Krichbaum, B. D. (2008). Standardized Work : The Power of Consistency Standardized Work : The Power of Consistency Standardized Work : The Principles.
[17] Guerra, L., Murino, T., & Romano, E. (2010). A System Dynamics Model for a Single-stage Multi-product Kanban Production System. Proceedings of the 11th WSEAS International Conference on Automation & Information, 171–176.
[18] Wang, L., Ming, X. G., Kong, F. B., Li, D., & Wang, P. P. (2012). Focus on implementation: a framework for lean product development. Journal of Manufacturing Technology Management, 23, 4–24.
[19] Ayuba, B., & Kazeem, A. O. (2015). The role of marketing research on the performance of business organizations. European Journal of Business and Management, 7 (6), 148–156.
[20] Jirasukprasert, P., Garza-Reyes, J. A., Soriano-Meier, H. and Rocha-Lona, L. (2012) ‘A case study of defects reduction in a rubber gloves manufacturing process by applying Six Sigma principles and Dmaic problem solving methodology’, International Conference on Industrial Engineering and Operations Management, 3–6 July, Istanbul, Turkey, pp. 77–81.
[21] Kumar, U. D., Nowicki, D., Ramirez-Marquez, J. E. and Verma, D. (2008) ‘On the optimal selection of process alternatives in a Six Sigma implementation’, International Journal of Production Economics, Vol. 111, No. 2, pp. 456–467.
[22] V. Pareto Manuale d' Economia Politica, 1909 (1971) (English translation, A. M. Kelly).
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  • APA Style

    Mauton Gbededo, Daniel Aikhuele, Desmond Ighravwe. (2020). Relationship Between Product Performance and Lean Product Development Tool. American Journal of Mechanical and Industrial Engineering, 5(3), 31-43. https://doi.org/10.11648/j.ajmie.20200503.11

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    ACS Style

    Mauton Gbededo; Daniel Aikhuele; Desmond Ighravwe. Relationship Between Product Performance and Lean Product Development Tool. Am. J. Mech. Ind. Eng. 2020, 5(3), 31-43. doi: 10.11648/j.ajmie.20200503.11

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    AMA Style

    Mauton Gbededo, Daniel Aikhuele, Desmond Ighravwe. Relationship Between Product Performance and Lean Product Development Tool. Am J Mech Ind Eng. 2020;5(3):31-43. doi: 10.11648/j.ajmie.20200503.11

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  • @article{10.11648/j.ajmie.20200503.11,
      author = {Mauton Gbededo and Daniel Aikhuele and Desmond Ighravwe},
      title = {Relationship Between Product Performance and Lean Product Development Tool},
      journal = {American Journal of Mechanical and Industrial Engineering},
      volume = {5},
      number = {3},
      pages = {31-43},
      doi = {10.11648/j.ajmie.20200503.11},
      url = {https://doi.org/10.11648/j.ajmie.20200503.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20200503.11},
      abstract = {In today’s global economy, the introduction of new methods, designs, products and processes have been accelerating in geometric progression due to changing consumers’ needs in the face of global competitions and technological advancement in product development. Product development managers and design stakeholders are facing real pressure to continuously adopt new system architecture and operational parameters to remain competitive. The viability of the product development and manufacturing firm now depends largely on how well they are able to respond to these changes in order to meet the customer requirements while becoming lean. The study will also provide a tool for monitoring the relationship between product performance and the Lean Product Development Tool (LPDT). It evaluates the relationship between Maggi spice production, of a Consolidated Foods Limited, in Nigeria and its relationship with DMAIC (Define, Measure, Analyse, Improve and Control) model, a lean six sigma tool, for evaluating root causes of product defects. At the end of the lean implementation, product performance of the pilot line, Omori Line 1 increases from 60% to 76% and a cost savings of NGR 12.03 million were realized at the end of the project.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Relationship Between Product Performance and Lean Product Development Tool
    AU  - Mauton Gbededo
    AU  - Daniel Aikhuele
    AU  - Desmond Ighravwe
    Y1  - 2020/08/05
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajmie.20200503.11
    DO  - 10.11648/j.ajmie.20200503.11
    T2  - American Journal of Mechanical and Industrial Engineering
    JF  - American Journal of Mechanical and Industrial Engineering
    JO  - American Journal of Mechanical and Industrial Engineering
    SP  - 31
    EP  - 43
    PB  - Science Publishing Group
    SN  - 2575-6060
    UR  - https://doi.org/10.11648/j.ajmie.20200503.11
    AB  - In today’s global economy, the introduction of new methods, designs, products and processes have been accelerating in geometric progression due to changing consumers’ needs in the face of global competitions and technological advancement in product development. Product development managers and design stakeholders are facing real pressure to continuously adopt new system architecture and operational parameters to remain competitive. The viability of the product development and manufacturing firm now depends largely on how well they are able to respond to these changes in order to meet the customer requirements while becoming lean. The study will also provide a tool for monitoring the relationship between product performance and the Lean Product Development Tool (LPDT). It evaluates the relationship between Maggi spice production, of a Consolidated Foods Limited, in Nigeria and its relationship with DMAIC (Define, Measure, Analyse, Improve and Control) model, a lean six sigma tool, for evaluating root causes of product defects. At the end of the lean implementation, product performance of the pilot line, Omori Line 1 increases from 60% to 76% and a cost savings of NGR 12.03 million were realized at the end of the project.
    VL  - 5
    IS  - 3
    ER  - 

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Author Information
  • Department of Mechanical Engineering, Bells University of Technology, Ota, Ogun-State, Nigeria; Department of Mechatronics Engineering, Federal University, Oye-Ekiti, Ekiti State, Nigeria

  • Department of Mechanical Engineering, Bells University of Technology, Ota, Ogun-State, Nigeria

  • Department of Mechanical Engineering, Bells University of Technology, Ota, Ogun-State, Nigeria

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