Boosting Supply Chain Effectiveness with Lean Six Sigma

Attia Hussien Gomaa

doi:doi:10.11648/j.ajmse.20240906.14

Research Article |

| Peer-Reviewed

Boosting Supply Chain Effectiveness with Lean Six Sigma

Attia Hussien Gomaa^*

Published in American Journal of Management Science and Engineering (Volume 9, Issue 6)

Received: 7 November 2024 Accepted: 28 November 2024 Published: 19 December 2024

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

This article explores the integration of supply chain management (SCM) and Lean Six Sigma (LSS), which can create a powerful systematic methodology for achieving manufacturing excellence and improving customer satisfaction. SCM in industry refers to the systematic coordination and integration of all activities involved in the procurement, production, and delivery of goods and services, from the sources of raw materials to the end customer. It ensures the right products are delivered in the right quantities, at the right time, and at the lowest possible cost. In this context, enhancing SCM has become a fundamental necessity for organizations aiming to improve operational efficiency, effectiveness, market share, and customer satisfaction. In this effort, LSS is a systematic methodology for improving process efficiency and effectiveness through continuous improvement by eliminating waste, minimizing defects, reducing lead time, and improving customer satisfaction. This research presented a comprehensive literature review focusing on applying the LSS methodology in SCM, as no comprehensive review is available. This study highlights the integration of LSS practices into SCM and provides a roadmap for future studies that focus on exploring the applications of LSS and its impacts on SCM. In conclusion, by aligning LSS principles with SCM strategies, organizations can achieve operational excellence, reduce costs, and improve overall supply chain efficiency while effectively meeting customer demands. Furthermore, this study aims to propose a framework that can be used to explain how the LSS methodology can be applied in different SCM fields. This comprehensive analysis aims to guide academics and professionals in improving supply chain performance using LSS tools.

Published in	American Journal of Management Science and Engineering (Volume 9, Issue 6)
DOI	10.11648/j.ajmse.20240906.14
Page(s)	156-171
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

SCM, TQM, Six Sigma, Lean, LSS, Continuous Improvement

References

[1]	Abdul-Azeez, O., Ihechere, A. O. and Idemudia, C., 2024. Optimizing supply chain management: strategic business models and solutions using SAP S/4HANA.
[2]	Adebanjo, D., Laosirihongthong, T. and Samaranayake, P., 2016. Prioritizing lean supply chain management initiatives in healthcare service operations: a fuzzy AHP approach. Production Planning & Control, 27(12), pp. 953-966.
[3]	Adeodu, A., Maladzhi, R., Katumba, M. G. K. K. and Daniyan, I., 2023. Development of an improvement framework for warehouse processes using lean six sigma (DMAIC) approach. A case of third party logistics (3PL) services. Heliyon, 9(4).
[4]	Akinsulire, A. A., Idemudia, C., Okwandu, A. C. and Iwuanyanwu, O., 2024. Supply chain management and operational efficiency in affordable housing: An integrated review. Magna Scientia Advanced Research and Reviews, 11(2), pp. 105-118.
[5]	Ali, S. M., Hossen, M. A., Mahtab, Z., Kabir, G. and Paul, S. K., 2020. Barriers to lean six sigma implementation in the supply chain: An ISM model. Computers & Industrial Engineering, 149, p. 106843.
[6]	Almaz, F. and Akar, N., 2023. The academic pattern of the Lean Six Sigma approach: a descriptive content analysis of project-based studies within Turkey. International Journal of Lean Six Sigma, 14(3), pp. 588-609.
[7]	Almutairi, A. M., Salonitis, K. and Al-Ashaab, A., 2020. A framework for implementing lean principles in the supply chain management at health-care organizations: Saudi’s perspective. International Journal of Lean Six Sigma, 11(3), pp. 463-492.
[8]	Al-Talib, M., Al-Saad, W., Alzoubi, A. and Anosike, A. I., 2024. A systematic review of the literature on the use of information technologies in supply chain management. International Journal of Industrial Engineering and Operations Management.
[9]	Andersson, R. and Pardillo-Baez, Y., 2020. The Six Sigma framework improves the awareness and management of supply-chain risk. The TQM Journal, 32(5), pp. 1021-1037.
[10]	Antony, J., Psomas, E., Garza-Reyes, J. A. and Hines, P., 2021. Practical implications and future research agenda of lean manufacturing: a systematic literature review. Production planning & control, 32(11), pp. 889-925.
[11]	Arif-Uz-Zaman, K. and Nazmul Ahsan, A. M. M., 2014. Lean supply chain performance measurement. International journal of productivity and performance management, 63(5), pp. 588-612.
[12]	Asmae, M., Abdelali, E., Youssef, S. and Brahim, H., 2019, June. The utility of Lean Six Sigma (LSS) in the Supply Chain agro-industry. In 2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA) (pp. 1-7). IEEE.
[13]	Barbosa, F. T. A., Peruchi, R. S., Morioka, S. N. and Junior, P. R., 2023. Lean, six sigma and sustainability case studies on supply chain management: a systematic literature review. Revista de Gestão e Secretariado, 14(9), pp. 15509-15536.
[14]	Basuki, M., 2021. Supply chain management: a review. Journal of Industrial Engineering and Halal Industries, 2(1), pp. 9-12.
[15]	Berger, S. L. T., Tortorella, G. L. and Frazzon, E. M., 2018. Simulation-based analysis of inventory strategies in lean supply chains. IFAC-PapersOnLine, 51(11), pp. 1453-1458.
[16]	Brandenburg, M., 2024. Operations and Supply Chain Planning. In The Palgrave Handbook of Supply Chain Management (pp. 293-312). Cham: Springer International Publishing.
[17]	Carmignani, G., 2016. Lean supply chain model and application in an Italian fashion luxury company. Understanding the Lean Enterprise: Strategies, Methodologies, and Principles for a More Responsive Organization, pp. 203-220.
[18]	Chiang, C. T., Kou, T. C. and Koo, T. L., 2021. A systematic literature review of the IT-based supply chain management system: towards a sustainable supply chain management model. Sustainability, 13(5), p. 2547.
[19]	de Sousa, T. B., Furtado, F. R. C., da Silva Ferri, O. E., Batista, A., Varella, W. A., Pinto, C. E., Yabarrena, J. M. S. C., Ruwer, S. G., Guerrini, F. M. and Júnior, L. A. P., 2018. Scientific Production on Lean Supply Chains Published in Journals Indexed by SCOPUS and Web of Science Databases: A Bibliometric Study. International Journal of Industrial and Manufacturing Engineering, 12(6), pp. 835-842.
[20]	Duarte, S. and Cruz-Machado, V., 2019. Green and lean supply-chain transformation: a roadmap. Production Planning & Control, 30(14), pp. 1170-1183.
[21]	Garcia-Buendia, N., Moyano-Fuentes, J., Maqueira-Marín, J. M. and Cobo, M. J., 2021. 22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis. International Journal of Production Research, 59(6), pp. 1901-1921.
[22]	Gomaa, A. H., 2022a. Enhancing manufacturing excellence through lean six sigma. Comprehensive Research and Reviews in Engineering and Technology, (CRRET), vol. 1, no. 1, pp. 29-44.
[23]	Gomaa, A. H., 2022b. Lean six sigma for improving supply chain management-A literature review. Global Journal of Research in Engineering and Technology, 2022, 01(01), 018–031.
[24]	Gomaa, A. H., 2023a. A systematic review of lean six sigma in manufacturing domain. Engineering Research Journal (Shoubra), 52(4), pp. 139-148.
[25]	Gomaa, A. H., 2023b. Improving Supply Chain Management Using Lean Six Sigma: A Case Study. International Journal of Applied & Physical Sciences, 9.
[26]	Gomaa, A. H., 2024a. Improving productivity and quality of a machining process by using lean six sigma approach: A case study. Engineering Research Journal (Shoubra), 53(1), pp. 1-16.
[27]	Gomaa, A. H., 2024b. Operational Excellence for Enhancing Supply Chain Performance Using Lean Six Sigma”, International Journal of Lean Six Sigma, (in print).
[28]	Gomaa, S., Fahmy, M. and Mosallam, E., 2024. The impact of integrating LSS and BPR on manufacturing organizational performance. The Egyptian Statistical Journal, 68(1), pp. 45-58.
[29]	Gultom, G. D. P. and Wibisono, E., 2019, May. A framework for the impact of lean six sigma on supply chain performance in manufacturing companies. In IOP Conference Series: Materials Science and Engineering (Vol. 528, No. 1, p. 012089). IOP Publishing.
[30]	Haq, A. N. and Boddu, V., 2015. An integrated fuzzy QFD and TOPSIS approach to enhance leanness in supply chain. International Journal of Business Performance and Supply Chain Modelling, 7(2), pp. 171-188.
[31]	Hardy, D. L., Kundu, S. and Latif, M., 2021. Productivity and process performance in a manual trimming cell exploiting Lean Six Sigma (LSS) DMAIC–a case study in laminated panel production. International Journal of Quality & Reliability Management, 38(9), pp. 1861-1879.
[32]	Hariharan, G., 2019. Critical success factors for the implementation of supply chain management in SMEs. International Journal of Recent Technology and Engineering, 7(5S3), pp. 540-543.
[33]	Houti, M., El Abbadi, L. and Abouabdellah, A., 2019, July. Critical success factors for lean implementation “projection on SMEs”. In Proceedings of the international conference on industrial engineering and operations management (pp. 526-537).
[34]	Ishak, A., Siregar, K., Ginting, R. and Gustia, D., 2020. A Systematic Literature Review of Lean Six Sigma. IOP Conf. Series: Materials Science and Eng., pp. 1-10.
[35]	Jakhar, S. K., Rathore, H. and Mangla, S. K., 2018. Is lean synergistic with sustainable supply chain? An empirical investigation from emerging economy. Resources, Conservation and Recycling, 139, pp. 262-269.
[36]	Jauhar, S., Tilasi, P. and Choudhary, R., 2012. Integrating Lean Six Sigma and supply chain practices for improving the supply chain performance. Undergraduate Academic Research Journal, 1(1), pp. 67-74.
[37]	Kamalahmadi, M. and Parast, M. M., 2016. A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International journal of production economics, 171, pp. 116-133.
[38]	Katsaliaki, K., Galetsi, P. and Kumar, S., 2022. Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research, pp. 1-38.
[39]	Khedr, A. M., 2024. Enhancing supply chain management with deep learning and machine learning techniques: A review. Journal of Open Innovation: Technology, Market, and Complexity, p. 100379.
[40]	Khorasani, S. T., Maghazei, O. and Cross, J. A., 2015. A structured review of lean supply chain management in health care. In Proceedings of the International Annual Conference of the American Society for Engineering Management (p. 1).
[41]	Kumar, P., Singh, D. and Bhamu, J., 2021. Development and validation of DMAIC based framework for process improvement: a case study of Indian manufacturing organization. International Journal of Quality & Reliability Management, 38(9), pp. 1964-1991.
[42]	Lehyani, F., Zouari, A., Ghorbel, A. and Tollenaere, M., 2021. Defining and measuring supply chain performance: a systematic literature review. Engineering management journal, 33(4), pp. 283-313.
[43]	Liu, Q. and Yang, H., 2020. An improved value stream mapping to prioritize lean optimization scenarios using simulation and multiple-attribute decision-making method. IEEE Access, 8, pp. 204914-204930.
[44]	Madhani, P. M., 2020. Enhancing supply chain efficiency and effectiveness with Lean Six Sigma approach. International Journal of Project Management and Productivity Assessment (IJPMPA), 8(1), pp. 40-65.
[45]	Martínez-Jurado, P. J. and Moyano-Fuentes, J., 2014. Lean management, supply chain management and sustainability: a literature review. Journal of Cleaner Production, 85, pp. 134-150.
[46]	Mitchell, E. M. and Kovach, J. V., 2016. Improving supply chain information sharing using Design for Six Sigma. European Research on Management and Business Economics, 22(3), pp. 147-154.
[47]	Mittal, A., Gupta, P., Kumar, V., Al Owad, A., Mahlawat, S. and Singh, S., 2023. The performance improvement analysis using Six Sigma DMAIC methodology: A case study on Indian manufacturing company. Heliyon, 9(3), pp. 1-11.
[48]	Moyano-Fuentes, J., Bruque-Cámara, S. and Maqueira-Marín, J. M., 2019. Development and validation of a lean supply chain management measurement instrument. Production Planning & Control, 30(1), pp. 20-32.
[49]	Murmura, F., Bravi, L., Musso, F. and Mosciszko, A., 2021. Lean Six Sigma for the improvement of company processes: the Schnell SpA case study. The TQM Journal, 33(7), pp. 351-376.
[50]	Nandakumar, N., Saleeshya, P. G. and Harikumar, P., 2020. Bottleneck identification and process improvement by lean six sigma DMAIC methodology. Materials Today: Proceedings, 24, pp. 1217-1224.
[51]	O’Mahony, L., McCarthy, K., O’Donoghue, J., Teeling, S. P., Ward, M. and McNamara, M., 2021. Using lean six sigma to redesign the supply chain to the operating room department of a private hospital to reduce associated costs and release nursing time to care. International Journal of Environmental Research and Public Health, 18(21), p. 11011.
[52]	Orji, I. J. and U-Dominic, C. M., 2022. Organizational change towards Lean Six Sigma implementation in the manufacturing supply chain: an integrated approach. Business Process Management Journal, 28(5/6), pp. 1301-1342.
[53]	Oubrahim, I., Sefiani, N. and Happonen, A., 2022. Supply chain performance evaluation models: a literature review. Acta logistica, 9(2), pp. 207-221.
[54]	Patyal, V. S., Modgil, S. and Koilakuntla, M., 2021. Application of Six Sigma methodology in an Indian chemical company. International Journal of Productivity and Performance Management, 70(2), pp. 350-375.
[55]	Praharsi, Y., Jami’in, M. A., Suhardjito, G. and Wee, H. M., 2021. The application of Lean Six Sigma and supply chain resilience in maritime industry during the era of COVID-19. International Journal of Lean Six Sigma, 12(4), pp. 800-834.
[56]	Qamar, A., Hall, M. A. and Collinson, S., 2018. Lean versus agile production: flexibility trade-offs within the automotive supply chain. International journal of production research, 56(11), pp. 3974-3993.
[57]	Qrunfleh, S. and Tarafdar, M., 2013. Lean and agile supply chain strategies and supply chain responsiveness: the role of strategic supplier partnership and postponement. Supply Chain Management: An International Journal, 18(6), pp. 571-582.
[58]	Reyes, J., Mula, J. and Díaz-Madroñero, M., 2023. Development of a conceptual model for lean supply chain planning in industry 4.0: multidimensional analysis for operations management. Production Planning & Control, 34(12), pp. 1209-1224.
[59]	Rossini, M. and Staudacher, A. P., 2016. Lean supply chain planning: A performance evaluation through simulation. In MATEC Web of Conferences (Vol. 81, p. 06002). EDP Sciences.
[60]	Selvaraju, M., Bhatti, M. A., Sundram, V. P. K. and Azmir, S., 2019. The influence of critical success factors of Lean Six Sigma towards supply chain performance in telecommunication industry, Malaysia. International Journal of Supply Chain Management, 8(6), pp. 1062-1068.
[61]	Sharma, A., Bhanot, N., Gupta, A. and Trehan, R., 2022. Application of Lean Six Sigma framework for improving manufacturing efficiency: a case study in Indian context. International Journal of Productivity and Performance Management, 71(5), pp. 1561-1589.
[62]	Şişman, G., 2023. Implementing lean six sigma methodology to reduce the logistics cost: a case study in Turkey. International Journal of Lean Six Sigma, 14(3), pp. 610-629.
[63]	Soosay, C. A. and Hyland, P., 2015. A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), pp. 613-630.
[64]	Stevens, G. C. and Johnson, M., 2016. Integrating the supply chain… 25 years on. International Journal of Physical Distribution & Logistics Management, 46(1), pp. 19-42.
[65]	Sundram, V. P. K., Ghapar, F., Lian, C. L. and Muhammad, A., 2023. Engaging lean six sigma approach using dmaic methodology for supply chain logistics recruitment improvement. Information Management and Business Review, 15(1 (I) SI), pp. 46-53.
[66]	Swenseth, S. R. and Olson, D. L., 2016. Trade-offs in lean vs. outsourced supply chains. International Journal of Production Research, 54(13), pp. 4065-4080.
[67]	Tay, H. L. and Aw, H. S., 2021. Improving logistics supplier selection process using lean six sigma–an action research case study. Journal of Global Operations and Strategic Sourcing, 14(2), pp. 336-359.
[68]	Tay, H. L. and Loh, H. S., 2022. Digital transformations and supply chain management: a Lean Six Sigma perspective. Journal of Asia Business Studies, 16(2), pp. 340-353.
[69]	Tiwari, P., Sadeghi, J. K. and Eseonu, C., 2020. A sustainable lean production framework with a case implementation: Practice-based view theory. Journal of Cleaner Production, 277, p. 123078.
[70]	Tortorella, G., Giglio, R., Fettermmann, D. C. and Tlapa, D., 2018. Lean supply chain practices: an exploratory study on their relationship. The International Journal of Logistics Management, 29(3), pp. 1049-1076.
[71]	Tortorella, G., Miorando, R. and Mac Cawley Vergara, A. F., 2019. The moderating effect of Industry 4.0 on the relationship between lean supply chain management and performance improvement.
[72]	Tortorella, G. L., Miorando, R. and Marodin, G., 2017. Lean supply chain management: Empirical research on practices, contexts and performance. International Journal of Production Economics, 193, pp. 98-112.
[73]	Trubetskaya, A., McDermott, O. and Brophy, P., 2023. Implementing a customised Lean Six Sigma methodology at a compound animal feed manufacturer in Ireland. International Journal of Lean Six Sigma, 14(5), pp. 1075-1095.
[74]	Vasantham, S. T., 2020. An overview on supply chain man-agement. International Journal of Management (IJM), 11(10), pp. 2041-2048.
[75]	Wu, L., Yue, X., Jin, A. and Yen, D. C., 2016. Smart supply chain management: a review and implications for future research. The international journal of logistics management, 27(2), pp. 395-417.
[76]	Yang, M., Movahedipour, M., Zeng, J., Xiaoguang, Z., and Wang, L., (2017), “Analysis of Success Factors to Implement Sustainable Supply Chain Management Using Interpretive Structural Modeling Technique: A Real Case Perspective”. Hindawi, Mathematical Problems in Engineering, Vol. 2017, pp. 1-14.
[77]	Yang, S., 2022. Analysis for supply chain management: evidence from Toyota. BCP Business & Management, 34, 1204-1209.
[78]	Yazdi, A. K., Hanne, T. and Osorio Gómez, J. C., 2021. A hybrid model for ranking critical successful factors of Lean Six Sigma in the oil and gas industry. The TQM Journal, 33(8), pp. 1825-1844.
[79]	Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y. and Garza-Reyes, J. A., 2021. Supply chain management 4.0: a literature review and research framework. Benchmarking: An International Journal, 28(2), pp. 465-501.
[80]	Zhao, J., Ji, M. and Feng, B., 2020. Smarter supply chain: a literature review and practices. Journal of Data, Information and Management, 2(2), pp. 95-110.

Cite This Article

Plain Text BibTeX RIS

APA Style

Gomaa, A. H. (2024). Boosting Supply Chain Effectiveness with Lean Six Sigma. American Journal of Management Science and Engineering, 9(6), 156-171. https://doi.org/10.11648/j.ajmse.20240906.14

Copy | Download

ACS Style

Gomaa, A. H. Boosting Supply Chain Effectiveness with Lean Six Sigma. Am. J. Manag. Sci. Eng. 2024, 9(6), 156-171. doi: 10.11648/j.ajmse.20240906.14

Copy | Download

AMA Style

Gomaa AH. Boosting Supply Chain Effectiveness with Lean Six Sigma. Am J Manag Sci Eng. 2024;9(6):156-171. doi: 10.11648/j.ajmse.20240906.14

Copy | Download

@article{10.11648/j.ajmse.20240906.14,
  author = {Attia Hussien Gomaa},
  title = {Boosting Supply Chain Effectiveness with Lean Six Sigma
},
  journal = {American Journal of Management Science and Engineering},
  volume = {9},
  number = {6},
  pages = {156-171},
  doi = {10.11648/j.ajmse.20240906.14},
  url = {https://doi.org/10.11648/j.ajmse.20240906.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20240906.14},
  abstract = {This article explores the integration of supply chain management (SCM) and Lean Six Sigma (LSS), which can create a powerful systematic methodology for achieving manufacturing excellence and improving customer satisfaction. SCM in industry refers to the systematic coordination and integration of all activities involved in the procurement, production, and delivery of goods and services, from the sources of raw materials to the end customer.  It ensures the right products are delivered in the right quantities, at the right time, and at the lowest possible cost. In this context, enhancing SCM has become a fundamental necessity for organizations aiming to improve operational efficiency, effectiveness, market share, and customer satisfaction. In this effort, LSS is a systematic methodology for improving process efficiency and effectiveness through continuous improvement by eliminating waste, minimizing defects, reducing lead time, and improving customer satisfaction. This research presented a comprehensive literature review focusing on applying the LSS methodology in SCM, as no comprehensive review is available. This study highlights the integration of LSS practices into SCM and provides a roadmap for future studies that focus on exploring the applications of LSS and its impacts on SCM. In conclusion, by aligning LSS principles with SCM strategies, organizations can achieve operational excellence, reduce costs, and improve overall supply chain efficiency while effectively meeting customer demands. Furthermore, this study aims to propose a framework that can be used to explain how the LSS methodology can be applied in different SCM fields. This comprehensive analysis aims to guide academics and professionals in improving supply chain performance using LSS tools.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Boosting Supply Chain Effectiveness with Lean Six Sigma

AU  - Attia Hussien Gomaa
Y1  - 2024/12/19
PY  - 2024
N1  - https://doi.org/10.11648/j.ajmse.20240906.14
DO  - 10.11648/j.ajmse.20240906.14
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 156
EP  - 171
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20240906.14
AB  - This article explores the integration of supply chain management (SCM) and Lean Six Sigma (LSS), which can create a powerful systematic methodology for achieving manufacturing excellence and improving customer satisfaction. SCM in industry refers to the systematic coordination and integration of all activities involved in the procurement, production, and delivery of goods and services, from the sources of raw materials to the end customer.  It ensures the right products are delivered in the right quantities, at the right time, and at the lowest possible cost. In this context, enhancing SCM has become a fundamental necessity for organizations aiming to improve operational efficiency, effectiveness, market share, and customer satisfaction. In this effort, LSS is a systematic methodology for improving process efficiency and effectiveness through continuous improvement by eliminating waste, minimizing defects, reducing lead time, and improving customer satisfaction. This research presented a comprehensive literature review focusing on applying the LSS methodology in SCM, as no comprehensive review is available. This study highlights the integration of LSS practices into SCM and provides a roadmap for future studies that focus on exploring the applications of LSS and its impacts on SCM. In conclusion, by aligning LSS principles with SCM strategies, organizations can achieve operational excellence, reduce costs, and improve overall supply chain efficiency while effectively meeting customer demands. Furthermore, this study aims to propose a framework that can be used to explain how the LSS methodology can be applied in different SCM fields. This comprehensive analysis aims to guide academics and professionals in improving supply chain performance using LSS tools.

VL  - 9
IS  - 6
ER  -

Copy | Download

Author Information

Attia Hussien Gomaa

Mechanical Engineering Department, Faculty of Engineering Shubra, Benha University, Cairo, Egypt

Contact Email

http://orcid.org/0009-0007-9770-6796

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Gomaa, A. H. (2024). Boosting Supply Chain Effectiveness with Lean Six Sigma. American Journal of Management Science and Engineering, 9(6), 156-171. https://doi.org/10.11648/j.ajmse.20240906.14

Copy | Download

ACS Style

Gomaa, A. H. Boosting Supply Chain Effectiveness with Lean Six Sigma. Am. J. Manag. Sci. Eng. 2024, 9(6), 156-171. doi: 10.11648/j.ajmse.20240906.14

Copy | Download

AMA Style

Gomaa AH. Boosting Supply Chain Effectiveness with Lean Six Sigma. Am J Manag Sci Eng. 2024;9(6):156-171. doi: 10.11648/j.ajmse.20240906.14

Copy | Download

@article{10.11648/j.ajmse.20240906.14,
  author = {Attia Hussien Gomaa},
  title = {Boosting Supply Chain Effectiveness with Lean Six Sigma
},
  journal = {American Journal of Management Science and Engineering},
  volume = {9},
  number = {6},
  pages = {156-171},
  doi = {10.11648/j.ajmse.20240906.14},
  url = {https://doi.org/10.11648/j.ajmse.20240906.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20240906.14},
  abstract = {This article explores the integration of supply chain management (SCM) and Lean Six Sigma (LSS), which can create a powerful systematic methodology for achieving manufacturing excellence and improving customer satisfaction. SCM in industry refers to the systematic coordination and integration of all activities involved in the procurement, production, and delivery of goods and services, from the sources of raw materials to the end customer.  It ensures the right products are delivered in the right quantities, at the right time, and at the lowest possible cost. In this context, enhancing SCM has become a fundamental necessity for organizations aiming to improve operational efficiency, effectiveness, market share, and customer satisfaction. In this effort, LSS is a systematic methodology for improving process efficiency and effectiveness through continuous improvement by eliminating waste, minimizing defects, reducing lead time, and improving customer satisfaction. This research presented a comprehensive literature review focusing on applying the LSS methodology in SCM, as no comprehensive review is available. This study highlights the integration of LSS practices into SCM and provides a roadmap for future studies that focus on exploring the applications of LSS and its impacts on SCM. In conclusion, by aligning LSS principles with SCM strategies, organizations can achieve operational excellence, reduce costs, and improve overall supply chain efficiency while effectively meeting customer demands. Furthermore, this study aims to propose a framework that can be used to explain how the LSS methodology can be applied in different SCM fields. This comprehensive analysis aims to guide academics and professionals in improving supply chain performance using LSS tools.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Boosting Supply Chain Effectiveness with Lean Six Sigma

AU  - Attia Hussien Gomaa
Y1  - 2024/12/19
PY  - 2024
N1  - https://doi.org/10.11648/j.ajmse.20240906.14
DO  - 10.11648/j.ajmse.20240906.14
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 156
EP  - 171
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20240906.14
AB  - This article explores the integration of supply chain management (SCM) and Lean Six Sigma (LSS), which can create a powerful systematic methodology for achieving manufacturing excellence and improving customer satisfaction. SCM in industry refers to the systematic coordination and integration of all activities involved in the procurement, production, and delivery of goods and services, from the sources of raw materials to the end customer.  It ensures the right products are delivered in the right quantities, at the right time, and at the lowest possible cost. In this context, enhancing SCM has become a fundamental necessity for organizations aiming to improve operational efficiency, effectiveness, market share, and customer satisfaction. In this effort, LSS is a systematic methodology for improving process efficiency and effectiveness through continuous improvement by eliminating waste, minimizing defects, reducing lead time, and improving customer satisfaction. This research presented a comprehensive literature review focusing on applying the LSS methodology in SCM, as no comprehensive review is available. This study highlights the integration of LSS practices into SCM and provides a roadmap for future studies that focus on exploring the applications of LSS and its impacts on SCM. In conclusion, by aligning LSS principles with SCM strategies, organizations can achieve operational excellence, reduce costs, and improve overall supply chain efficiency while effectively meeting customer demands. Furthermore, this study aims to propose a framework that can be used to explain how the LSS methodology can be applied in different SCM fields. This comprehensive analysis aims to guide academics and professionals in improving supply chain performance using LSS tools.

VL  - 9
IS  - 6
ER  -

Copy | Download