Investigating the enablers associated with implementation of Green Lean Six Sigma in manufacturing sector using Best Worst Method

Kaswan, Mahender Singh; Rathi, Rajeev

doi:10.1007/s10098-020-01827-w

Cited by 63 publications

(39 citation statements)

References 39 publications

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“…While pairwise comparisons under the fullmatrix method offer the possibility of checking consistency, it poses too many questions to the DM, which may lead to confusion and inconsistency. e method has been applied to many real-world problems, including logistics [57], IoT [58], water security sustainability evaluation [59], energy technology selection [60], manufacturing [61], supplier selection [62], airport evaluation [63], and many more, see [64].…”

Section: Bayesian Best-worst Methodmentioning

confidence: 99%

A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel

Wang

Rezaei

2020

Complexity

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Crowdsourcing delivery is becoming a prevalent tool for tackling delivery problems by building a large labor-intensive service network. In this network, the delivery personnel consist of a large number of people with a complex composition and high level of mobility, creating enormous challenges for the quality of service and the management of a crowdsourcing platform. Hence, we attempt to conduct a competence analysis to determine whether they can provide promised services with high quality, i.e., they are competent for their job. To this end, the competence theory is introduced, and a multicriteria competence analysis (MCCA) approach is developed. To illustrate the MCCA approach, a real-world case study is conducted involving a Chinese takeaway delivery platform, where the Bayesian best-worst method is used to determine the weights of the criteria based on the data collected from managers of the platform company. Also, the competence scores of the personnel involved are collected through surveys and data sources of the company. Given the weights and the competence scores, we use additive value function to identify the overall competence scores of them, which reflects the level of competence for their job. The results show that Skills is the most important competence, while Knowledge is the least important of the four competence dimensions. In subcriteria, four core elements are identified such as punctuality, customer service awareness, responsible, and goods intact. In addition to the importance of criteria, a ranking of a sample of personnel is provided, and almost half of the crowdsourcing delivery personnel’s competence is below the average and vary significantly, while the relationship between the competence level and some other variables is also discussed. Moreover, the developed MCCA approach in this paper can be applied to analyze the competence of personnel in many other industries as well.

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Section: Bayesian Best-worst Methodmentioning

confidence: 99%

A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel

Wang

Rezaei

2020

Complexity

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“…Value Stream Mapping is an improvement approach that includes concepts of enhancing the manufacturing processes, productivity, cycle time and sustainability (Kaswan and Rathi, 2020). However, with increasing ecological and economic concerns, the implementation of VSM method is become difficult because of the number of indicators to be improved.…”

Section: Discussionmentioning

confidence: 99%

Enhancement of value stream mapping application process through using fuzzy DEMATEL and fuzzy QFD approaches: a case study considering economic and environmental perspectives

Aouag

Soltani

Mouss

2020

JM2

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Purpose This paper aims to investigate an integrated approach that aims at enhancing the application process of value stream mapping (VSM) method. It also proposes an extended VSM called Economic and Environmental VSM(E-EVSM). The proposed approach highlights the improvement of economic and environmental performances. Design/methodology/approach The proposed approach has studied the integration of VSM, fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy quality function deployment (QFD) to improve the economic and environmental performances of manufacturing processes. The VSM method is used for data collection and manufacturing process assessment, whereas fuzzy DEMATEL is used to analyse the current state map. Finally, fuzzy QFD is used to organize the improvement phase of VSM method. Findings The clear findings of this research prove the effectiveness of VSM method on the environmental and economic performances of manufacturing processes. In addition, the proposed approach will show the advantages of fuzzy DEMATEL and fuzzy QFD approaches in improving the application of the VSM method. Research limitations/implications The limitation of this study includes the lack of consideration of other dimensions such as social, technological and managerial. In addition, the proposed approach studied an average set of environmental and economic indicators. Originality/value The novelty of the proposed approach is proved by the development of an extended VSM method (E-EVSM). Also, the proposed approach contributes by a new methodology for analysing and improving the current state map of manufacturing processes.

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“…To strengthen the relationships between green, lean, and six sigma approaches in aiding the outcomes, it is necessary for organizations to realize the success factors that are vital for the execution of GLSS program for environmental sustainability [90]. There exist few research studies that have identified the success factors of GLSS and investigated the interrelationship between the individual approaches.…”

Section: Critical Success Factors Of Glss Approachmentioning

confidence: 99%

“…For example, Mishra [25] has identified five critical success factors of GLSS which are: (1) management and employee commitment, (2) organization's readiness to execute GLSS strategy, (3) selection and prioritization of GLSS projects, (4) provision of resources and training for GLSS implementation, and (5) focus on evaluation and results of GLSS program. Kaswan and Rathi [56] have determined 12 critical success factors and prioritize seven of these (based on experts' opinions) [90] by utilizing the best worst method (BWM), which can facilitate organizations in ranking these factors at the preliminary stage of GLSS program. The study finally concluded with three success factors as the crucial ones: (a) organization's willingness for GLSS performance measures, (b) leadership commitment towards environmental sustainability, and (c) the alignment of GLSS strategy with business objectives.…”

Section: Critical Success Factors Of Glss Approachmentioning

confidence: 99%

Investigating the Theoretical Constructs of a Green Lean Six Sigma Approach towards Environmental Sustainability: A Systematic Literature Review and Future Directions

2020

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Green lean six sigma (GLSS) is an emerging approach towards environmental sustainability in conjunction with operational achievements. The success of this approach is premised on an understanding of the different components of a GLSS program; being the determinants for its outcomes. The aim of this paper is to investigate the various constructs of GLSS that play an essential role in achieving environmental sustainability. For this purpose, a systematic review of available literature has been conducted to evaluate the drivers, enablers (tools), and outcomes of a GLSS strategy as well as its critical success factors and barriers. Findings reveal that these constructs of GLSS as a holistic approach can facilitate an organization to better accomplish environmental objectives such as waste minimization, emission reduction, and resource conservation as compared to constructs of only one or any two of these strategies. Based on the analysis, an integrated GLSS framework is developed for environmental sustainability in addition to identifying vital research gaps and future directions.

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Investigating the enablers associated with implementation of Green Lean Six Sigma in manufacturing sector using Best Worst Method

Cited by 63 publications

References 39 publications

A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel

A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel

Enhancement of value stream mapping application process through using fuzzy DEMATEL and fuzzy QFD approaches: a case study considering economic and environmental perspectives

Investigating the Theoretical Constructs of a Green Lean Six Sigma Approach towards Environmental Sustainability: A Systematic Literature Review and Future Directions

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