214
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Select a winning Lean Six Sigma 4.0 project: Best Worst Method based decision making approach

, , , ORCID Icon, &

References

  • Ahmed, A., Page, J., & Olsen, J. (2020). Enhancing Six Sigma methodology using simulation techniques: Literature review and implications for future research. International Journal of Lean Six Sigma, 11(1), 211–232. https://doi.org/10.1108/IJLSS-03-2018-0033
  • Al Asbahi, A. A. M. H., Fang, Z., Chandio, Z. A., Tunio, M. K., Ahmed, J., & Abbas, M. (2020). Assessing barriers and solutions for Yemen energy crisis to adopt green and sustainable practices: A fuzzy multi-criteria analysis. Environmental Science and Pollution Research, 27(29), 36765–36781. https://doi.org/10.1007/s11356-020-09700-5
  • Albliwi, S. A., Antony, J., & Lim, S. A. h. (2015). A systematic review of Lean Six Sigma for the manufacturing industry. Business Process Management Journal, 21(3), 665–691. https://doi.org/10.1108/BPMJ-03-2014-0019
  • Alexander, P., Antony, J., & Cudney, E. (2022). A novel and practical conceptual framework to support Lean Six Sigma deployment in manufacturing SMEs. Total Quality Management & Business Excellence, 33(11-12), 1233–1263. https://doi.org/10.1080/14783363.2021.1945434
  • Al-Futaih, A., & Demirkol, İ. (2020). The relationship between Industry 4.0 and lean production: An empirical study on Bursa manufacturing industry. Journal of Business Research – Turk, 12(2), 1083–1097. https://doi.org/10.20491/isarder.2020.897
  • Ali, S. M., Hossen, M. A., Mahtab, Z., Kabir, G., Paul, S. K., & Adnan, Z. u. H. (2020). Barriers to Lean Six Sigma implementation in the supply chain: An ISM model. Computers & Industrial Engineering, 149, 106843. https://doi.org/10.1016/j.cie.2020.106843
  • Anass, C., Amine, B., Ibtissam, E. H., Bouhaddou, I., & Elfezazi, S.. (2021). Industry 4.0 and Lean Six Sigma: Results from a pilot study. In Advances in Integrated Design and Production: Proceedings of the 11th International Conference on Integrated Design and Production, CPI 2019 , October 14-16, 2019, Fez, Morocco (pp. 613–619). Springer International Publishing. https://doi.org/10.1007/978-3-030-62199-5_54
  • Antony, J., Psomas, E., Garza-Reyes, J. A., & Hines, P. (2021). Practical implications and future research agenda of lean manufacturing: A systematic literature review. Production Planning & Control, 32(11), 889–925. https://doi.org/10.1080/09537287.2020.1776410
  • Antony, J., Sunder M, V., Laux, C., & Cudney, E. (2019). Lean Six Sigma project selection and prioritisation. In The ten commandments of Lean Six Sigma: A guide for practitioners (pp. 17–27). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78973-687-820191004
  • Anvari, F., Edwards, R., & Agung, H. (2020). Lean Six Sigma in smart factories based on Industry 4.0. International Journal of Emerging Trends in Energy and Environment (IJETEE), 1, 1–26.
  • Assarlind, M., & Aaboen, L. (2014). Forces affecting one Lean Six Sigma adoption process. International Journal of Lean Six Sigma, 5(3), 324–340. https://doi.org/10.1108/IJLSS-07-2013-0039
  • Belhadi, A., Touriki, F. E., & Elfezazi, S. (2019). Evaluation of critical success factors (CSFs) to lean implementation in SMEs using AHP: A case study. International Journal of Lean Six Sigma, 10(3), 803–829. https://doi.org/10.1108/IJLSS-12-2016-0078
  • Bittencourt, V. L., Alves, A. C., & Leão, C. P. (2021). Industry 4.0 triggered by lean thinking: Insights from a systematic literature review. International Journal of Production Research, 59(5), 1496–1510. https://doi.org/10.1080/00207543.2020.1832274
  • Buer, S.-V., Strandhagen, J. O., & Chan, F. T. S. (2018). The link between Industry 4.0 and lean manufacturing: Mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924–2940. https://doi.org/10.1080/00207543.2018.1442945
  • Čater, T., Čater, B., Černe, M., Koman, M., & Redek, T. (2021). Industry 4.0 technologies usage: Motives and enablers. Journal of Manufacturing Technology Management, 32(9), 323–345. https://doi.org/10.1108/JMTM-01-2021-0026
  • Cherrafi, A., Chiarini, A., Belhadi, A., El Baz, J., & Chaouni Benabdellah, A. (2022). Digital technologies and circular economy practices: Vital enablers to support sustainable and resilient supply chain management in the post-COVID-19 era. The TQM Journal, 34(7), 179–202. https://doi.org/10.1108/TQM-12-2021-0374
  • Cherrafi, A., Elfezazi, S., Chiarini, A., Mokhlis, A., & Benhida, K. (2017). Exploring critical success factors for implementing green Lean Six Sigma. In L. Brennan & A. Vecchi (Eds.), International manufacturing strategy in a time of great flux (pp. 183–195). Springer. https://doi.org/10.1007/978-3-319-25351-0_9
  • Cherrafi, A., Elfezazi, S., Govindan, K., Garza-Reyes, J. A., Benhida, K., & Mokhlis, A. (2017). A framework for the integration of Green and Lean Six Sigma for superior sustainability performance. International Journal of Production Research, 55(15), 4481–4515. https://doi.org/10.1080/00207543.2016.1266406
  • Ciano, M. P., Dallasega, P., Orzes, G., & Rossi, T. (2021). One-to-one relationships between Industry 4.0 technologies and lean production techniques: A multiple case study. International Journal of Production Research, 59(5), 1386–1410. https://doi.org/10.1080/00207543.2020.1821119
  • De Castro, J. F. T., Costa, H. G., Méxas, M. P., De Campos Lima, C. B., & Caiado, R. G. G. (2019). Influencing factors in a portfolio of projects and operations: A systematic review. International Journal of Project Organisation and Management, 11(4), 311–342. https://doi.org/10.1504/IJPOM.2019.104186
  • Denyer, D., & Tranfield, D. (2009). Producing a systematic review.
  • De Souza, L. P., Gomes, C. F. S., & De Barros, A. P. (2018). Implementation of new hybrid AHP–TOPSIS-2N method in sorting and prioritizing of an it CAPEX project portfolio. International Journal of Information Technology & Decision Making, 17(04), 977–1005. https://doi.org/10.1142/S0219622018500207
  • Dursun, M., Goker, N., & Mutlu, H. (2020). A cognitive map integrated intuitionistic fuzzy decision-making procedure for provider selection in project management. Journal of Intelligent & Fuzzy Systems, 39(5), 6645–6655. https://doi.org/10.3233/JIFS-189125
  • El Baz, J., Tiwari, S., Akenroye, T., Cherrafi, A., & Derrouiche, R. (2022). A framework of sustainability drivers and externalities for Industry 4.0 technologies using the best-worst method. Journal of Cleaner Production, 344, 130909. https://doi.org/10.1016/j.jclepro.2022.130909
  • Eniola, A., & Entebang, H. (2015). SME firm performance-financial innovation and challenges. Procedia – Social and Behavioral Sciences, 195, 334–342. https://doi.org/10.1016/j.sbspro.2015.06.361
  • Gallab, M., Bouloiz, H., Kebe, S. A., & Tkiouat, M. (2021). Opportunities and challenges of the Industry 4.0 in industrial companies: A survey on Moroccan firms. Journal of Industrial and Business Economics, 48(3), 413–439. https://doi.org/10.1007/s40812-021-00190-1
  • Garg, P., Gupta, B., Chauhan, A. K., Sivarajah, U., Gupta, S., & Modgil, S. (2021). Measuring the perceived benefits of implementing blockchain technology in the banking sector. Technological Forecasting and Social Change, 163, 120407. https://doi.org/10.1016/j.techfore.2020.120407
  • Gertzen, W. M., Van Der Lingen, E., & Steyn, H. (2022). Goals and benefits of digital transformation projects: Insights into project selection criteria. South African Journal of Economic and Management Sciences, 25(1), 4158. https://doi.org/10.4102/sajems.v25i1.4158
  • Ghobakhloo, M., Iranmanesh, M., Vilkas, M., Grybauskas, A., & Amran, A. (2022). Drivers and barriers of Industry 4.0 technology adoption among manufacturing SMEs: A systematic review and transformation roadmap. Journal of Manufacturing Technology Management, 33(6), 1029–1058. https://doi.org/10.1108/JMTM-12-2021-0505
  • Gupta, H., & Barua, M. (2017). Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS. Journal of Cleaner Production, 152, 242–258. https://doi.org/10.1016/j.jclepro.2017.03.125
  • Habidin, N. F., Hashim, S., Fuzi, N. M., Salleh, M. I., Mustaffa, W. S. W., & Hudin, N. S. (2019). The implemention of total productive maintenance in Malaysia automotive industry. Research in World Economy, 10(5), 89–95. https://doi.org/10.5430/rwe.v10n5p89
  • Haddach, A., Allal, L. B., Laglaoui, A., & Ammari, M. (2017). Moroccan automotive industry: Opportunities and perspectives. Europe, 19857, 19726.
  • Haddud, A., & Khare, A. (2020). Digitalizing supply chains potential benefits and impact on lean operations. International Journal of Lean Six Sigma, 11(4), 731–765. https://doi.org/10.1108/IJLSS-03-2019-0026
  • Ivanov, D. (2023). The Industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683–1695. https://doi.org/10.1080/00207543.2022.2118892
  • Joshi, S., Sharma, M., Bartwal, S., Joshi, T., & Prasad, M. (2024). Critical challenges of integrating OPEX strategies with I4.0 technologies in manufacturing SMEs: A few pieces of evidence from developing economies. The TQM Journal, 36(1), 108–138. https://doi.org/10.1108/TQM-08-2022-0245
  • Kaswan, M. S., & Rathi, R. (2020). Green Lean Six Sigma for sustainable development: Integration and framework. Environmental Impact Assessment Review, 83, 106396. https://doi.org/10.1016/j.eiar.2020.106396
  • Kaswan, M. S., Rathi, R., Cross, J., Garza-Reyes, J. A., Antony, J., & Yadav, V. (2023). Integrating Green Lean Six Sigma and Industry 4.0: A conceptual framework. Journal of Manufacturing Technology Management, 34(1), 87–121. https://doi.org/10.1108/JMTM-03-2022-0115
  • Kusi-Sarpong, S., Gupta, H., & Sarkis, J. (2019). A supply chain sustainability innovation framework and evaluation methodology. International Journal of Production Research, 57(7), 1990–2008. https://doi.org/10.1080/00207543.2018.1518607
  • Letchumanan, L. T., Gholami, H., Yusof, N. M., Ngadiman, N. H. A. B., Salameh, A. A., Štreimikienė, D., & Cavallaro, F. (2022). Analyzing the factors enabling Green Lean Six Sigma implementation in the Industry 4.0 Era. Sustainability, 14(6), 3450. https://doi.org/10.3390/su14063450
  • Luz Tortorella, G., Cauchick-Miguel, P. A., Li, W., Staines, J., & McFarlane, D. (2022). What does operational excellence mean in the Fourth Industrial Revolution era? International Journal of Production Research, 60(9), 2901–2917. https://doi.org/10.1080/00207543.2021.1905903
  • Ma, J., Harstvedt, J. D., Jaradat, R., & Smith, B. (2020). Sustainability driven multi-criteria project portfolio selection under uncertain decision-making environment. Computers & Industrial Engineering, 140, 106236. https://doi.org/10.1016/j.cie.2019.106236
  • Malek, J., & Desai, T. N. (2019). Prioritization of sustainable manufacturing barriers using best worst method. Journal of Cleaner Production, 226, 589–600. https://doi.org/10.1016/j.jclepro.2019.04.056
  • Mi, X., Tang, M., Liao, H., Shen, W., & Lev, B. (2019). The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what’s next? Omega, 87, 205–225. https://doi.org/10.1016/j.omega.2019.01.009
  • Michnik, J. (2018). The WINGS method with multiple networks and its application to innovation projects selection. International Journal of Applied Management Science, 10(2), 105. https://doi.org/10.1504/IJAMS.2018.092077
  • Mohagheghi, V., Mousavi, S., Vahdani, B., & Siadat, A. (2017). A mathematical modeling approach for high and new technology-project portfolio selection under uncertain environments. Journal of Intelligent & Fuzzy Systems, 32(6), 4069–4079. https://doi.org/10.3233/JIFS-152510
  • Mohamed, M. (2018). Challenges and benefits of Industry 4.0: An overview. International Journal of Supply and Operations Management, 5(3), 256–265.
  • Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
  • Sadjadi, S., & Karimi, M. (2018). Best-worst multi-criteria decision-making method: A robust approach. Decision Science Letters, 7, 323–340. https://doi.org/10.5267/j.dsl.2018.3.003
  • Shukla, V., Swarnakar, V., & Singh, A. R. (2021). Prioritization of Lean Six Sigma project selection criteria using best worst method. Materials Today: Proceedings, 47, 5749–5754. https://doi.org/10.1016/j.matpr.2021.04.038
  • Singh, K., Swarnakar, V., & Singh, A. R. (2021). Lean Six sigma Project selection using best worst method. Materials Today: Proceedings, 47, 5766–5770. https://doi.org/10.1016/j.matpr.2021.04.094
  • Singh, M., Rathi, R., Antony, J., & Garza-Reyes, J. A. (2021). Lean six sigma project selection in a manufacturing environment using hybrid methodology based on intuitionistic fuzzy MADM approach. IEEE Transactions on Engineering Management.
  • Singh, M., Rathi, R., & Garza-Reyes, J. A. (2021). Analysis and prioritization of Lean Six Sigma enablers with environmental facets using best worst method: A case of Indian MSMEs. Journal of Cleaner Production, 279, 123592. https://doi.org/10.1016/j.jclepro.2020.123592
  • Skalli, D., Charkaoui, A., Anass, C., Shokri, A., Arturo, J., & Antony, J. (2023). Analysis of factors influencing Circular-Lean-Six Sigma 4.0 implementation considering sustainability implications: An exploratory study. International Journal of Production Research, 1–28. https://doi.org/10.1080/00207543.2023.2251159
  • Skalli, D., Charkaoui, A., Cherrafi, A., Garza-Reyes, J. A., Antony, J., & Shokri, A. (2023). Industry 4.0 and Lean Six Sigma integration in manufacturing: A literature review, an integrated framework and proposed research perspectives. Quality Management Journal, 30(1), 16–40. https://doi.org/10.1080/10686967.2022.2144784
  • Snee, R. D. (2010). Lean Six Sigma – Getting better all the time. International Journal of Lean Six Sigma, 1(1), 9–29. https://doi.org/10.1108/20401461011033130
  • Sony, M. (2018). Industry 4.0 and lean management: A proposed integration model and research propositions. Production & Manufacturing Research, 6(1), 416–432. https://doi.org/10.1080/21693277.2018.1540949
  • Sony, M., Antony, J., Douglas, J. A., & McDermott, O. (2021). Motivations, barriers and readiness factors for Quality 4.0 implementation: An exploratory study. The TQM Journal, 33(6), 1502–1515. https://doi.org/10.1108/TQM-11-2020-0272
  • Swarnakar, V., Singh, A. R., Antony, J., Tiwari, A. K., & Garza-Reyes, J. A. (2023). Sustainable Lean Six Sigma project selection in manufacturing environments using best-worst method. Total Quality Management & Business Excellence, 34(7–8), 990–1014. https://doi.org/10.1080/14783363.2022.2139675
  • Swarnakar, V., & Vinodh, S. (2014). Lean Six Sigma project selection using analytical network process. Proceedings of SOM, 2014.
  • Taherdoost, H. (2017). Decision making using the analytic hierarchy process (AHP); A step by step approach. International Journal of Economics and Management Systems, 2.
  • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
  • Tavana, M., Khalili-Damghani, K., & Sadi-Nezhad, S. (2013). A fuzzy group data envelopment analysis model for high-technology project selection: A case study at NASA. Computers & Industrial Engineering, 66(1), 10–23. https://doi.org/10.1016/j.cie.2013.06.002
  • Vinodh, S., & Shimray, S. A. (2023). Analysis of barriers for implementation of integrated Lean Six Sigma and Industry 4.0 using interpretive ranking process. The TQM Journal, 35(7), 1761–1776. https://doi.org/10.1108/TQM-04-2022-0121
  • Vinodh, S., & Swarnakar, V. (2015). Lean Six Sigma project selection using hybrid approach based on fuzzy DEMATEL–ANP–TOPSIS. International Journal of Lean Six Sigma, 6(4), 313–338. https://doi.org/10.1108/IJLSS-12-2014-0041
  • Wang, F.-K., Hsu, C.-H., & Tzeng, G.-H. (2014). Applying a hybrid MCDM model for Six Sigma project selection. Mathematical Problems in Engineering, 2014.
  • Yadav, G., & Desai, T. N. (2017). Analyzing Lean Six Sigma enablers: A hybrid ISM-fuzzy MICMAC approach. The TQM Journal, 29(3), 488–511. https://doi.org/10.1108/TQM-04-2016-0041
  • Yeh, C.-H., Deng, H., Wibowo, S., & Xu, Y. (2010). Fuzzy multicriteria decision support for information systems project selection. International Journal of Fuzzy Systems, 12(2), 170–174.
  • Zandi, F., & Tavana, M. (2010). A multi-attribute group decision support system for information technology project selection. International Journal of Business Information Systems, 6(2), 179–199. https://doi.org/10.1504/IJBIS.2010.034353

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.