Sustainable Lean Six Sigma project selection in manufacturing environments using Best-Worst Method
Journal article
Authors | Swarnakar, V., Singh, A. R., Antony, J., Tiwari, A. K. and Garza-Reyes, J. |
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Abstract | Manufacturing organizations have struggled with selecting right projects for implementing their sustainable LSS programs for operational excellence. The objective of this study is to propose a method for the effective assessment and selection of optimal sustainable LSS projects. The importance weight of the project selection criteria and prioritization of available projects are calculated using the novel best-worst method (BWM) approach. The proposed methodology was authenticated through a real case example of sustainable LSS project selection in an automotive component manufacturing organization. The outcome of the present case study reveals that out of five sustainable LSS projects (i.e., five different production lines), P1 is the optimal project. Project P1 is the most significant production line for deploying the sustainable LSS in the case organization. The optimality in project ranking is tested through sensitivity analysis, the outcome noticed minimum sensitivity that claimed robust findings. This study is to be unique as there was very little evidence of prioritizing sustainable LSS projects by utilizing a large set of criteria and applying the BWM approach. Further, BWM is the most suitable and reliable approach for prioritizing the alternatives when a large number of criteria are involved and it provides consistent outcomes with fewer inputs. The applied methodology will help top management of manufacturing organizations to select the right project and opportunities in complex situations. Decision-makers and LSS consultants can also adopt the same approach for the effective assessment and selection of optimal sustainable LSS projects for sustainable development. This research has a significant contribution to the body of knowledge for the sustainable LSS community, especially for sustainable LSS deployment in emerging sectors. |
Keywords | Sustainable LSS; Project selection; Best Worst Method; Sensitivity analysis; Automotive component manufacturing organization |
Year | 2022 |
Journal | TQM & Business Excellence |
Journal citation | pp. 1-26 |
Publisher | Taylor & Francis |
ISSN | 1478-3371 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/14783363.2022.2139675 |
Web address (URL) | https://www.tandfonline.com/doi/full/10.1080/14783363.2022.2139675 |
Accepted author manuscript | License File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 10 Nov 2022 |
Publication process dates | |
Accepted | 2022 |
Deposited | 28 Nov 2022 |
https://repository.derby.ac.uk/item/9q6x6/sustainable-lean-six-sigma-project-selection-in-manufacturing-environments-using-best-worst-method
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