Empirical assessment of the causal relationships among lean criteria using DEMATEL method

Sharma, Vikram; Dixit, Amit Rai; Qadri, Mohammad Asim

doi:10.1108/bij-08-2014-0078

Cited by 40 publications

(24 citation statements)

References 80 publications

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“…Chung-Wei and Gwo-Hshiung (2009) claimed that the DEMATEL method was developed by the Science and Human Affairs program of the Battelle Memorial Institute of Geneva between 1972and 1976(Fontela and Gabus, 1976. This is a useful tool of causal analysis that helps the researchers to divide the criteria of any system into the categories of cause and effect (Sharma et al, 2016). DEMATEL method can confirm interdependence between factors.…”

Section: Introductionmentioning

confidence: 99%

Analyzing barriers of Green Lean practices in manufacturing industries by DEMATEL approach

Singh

Khamba

2020

JMTM

102

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PurposeGreen Lean concepts offer methods for managing manufacturing organizations with the goal of improving organizational performance. Green Lean practices are good options to increase the environmental and operational performance of manufacturing industries. However, there are some barriers to implement Green Lean in manufacturing industries. This paper aims to identify these barriers by reviewing the literature and analyze inter-relationships amongst selected barriers.Design/methodology/approachThis paper deals with the identification of barriers to the adoption of Green Lean practices in manufacturing industries. Using the DEMATEL approach and using the insights of experts, a cause and effect relationship diagram was generated through which the effect of barriers was analyzed.FindingsTwelve barriers were categorized in terms of cause and effect, and the interrelationships of barriers were also analyzed. Threshold value is calculated as 0.134 and the values lower than a were eliminated to obtain the digraph. “Resistance to change,” “lack of top management commitment” and “lack of training to employees” are the most prominent barriers on the basis of their prominent score.Research limitations/implicationsAnalysis in the research is highly dependent on expert judgments and opinions may be biased. However, the initial matrix obtained from the experts is hindered by the ambiguity about some relationships. But this can be improved by using fuzzy and grey set theories. The barriers used for the analysis are not from a specific type of manufacturing industry.Practical implicationsThe findings will help the manufacturing organizations to simplify the most important barriers, the least significant barriers and the relationships between these barriers. This Berlin knowledge will enable administrators to increase awareness of the barriers in Green Lean implementation. “The top management commitment” and “government support” are most important for the removal of barriers to Green Lean strategies.Originality/valueVery few scholars have used the DEMATEL approach to examine the sequence of the barriers to Green Lean implementation. The present study attempts to incorporate the DEMATEL model to assess the sequence of barriers to the implementation of Green Lean. This study investigates the degree of influence of barriers on each other and categorizes the barriers into cause and effect groups. This study is also intended to pave the way for future research in the path of the elimination of barriers to Green Lean strategies.

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Section: Introductionmentioning

confidence: 99%

Analyzing barriers of Green Lean practices in manufacturing industries by DEMATEL approach

Singh

Khamba

2020

JMTM

102

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“…However, studies have reported uncertainty in weight computation using hierarchical approach and fuzzy concepts (Boran et al, 2009;Sharma et al, 2016). Moreover, many researchers used ANP (Vinodh et al, 2011) or AHP (Kahraman et al, 2004) for ranking the alternatives.…”

Section: Motivation For the Studymentioning

confidence: 99%

Assessment of critical failure factors (CFFs) of Lean Six Sigma in real life scenario

Sreedharan¹,

Gopikumar²,

Nair³

et al. 2018

BIJ

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Purpose Many projects focus on the reliable operation of the activities in the project. Any failure in the process activities leads to major problems resulting in waste, defects, equipment damage, which has a direct impact on the consumers. In addition, Lean Six Sigma (LSS) is not new to this issue. LSS projects have faced an interruption in the process flow and unforeseen defects. Therefore, the purpose of this paper is to identify the vital failure factors of LSS projects. Design/methodology/approach Through extant literature review, the researchers found 44 critical failure factors (CFFs) of LSS. Using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) SIMOS approach, the decision makers’ (DMs) rating and weight for each factor were collected. Moreover, the study was conducted in both the manufacturing and service industries to identify the impact of CFFs in LSS projects. Findings CFFs and their evaluation have received little attention in the literature. Most of the previous studies deal only with the identification of the success factors in general. Therefore, the study identified 44 CFFs and ranked them through DMs. In addition, the TOPSIS SIMOS approach ranked the vital failure factors enabling the management to avert the LSS project from failures. Research limitations/implications The study focused on project failures due to CFFs of LSS. Nevertheless, it did not consider other failure factors of project and knowledge management. Further, the sample used to test the approach was considerably small. Therefore, the study can be repeated with significant samples and the vital failure factors compared. Practical implications In real-life application, all the parameters in the LSS project need to be understood in a better manner. In such a condition, the practitioner needs to know that the project never fails due to the CFFs and TOPSIS SIMOS approach can prevent the LSS project failures. Originality/value The study applied TOPSIS SIMOS approach to rank the CFFs in an LSS project, which is first of its kind and aids the practitioners to make the right decisions in the business environment.

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“…If the effects of dimensions and factors in matrix T exceed the threshold value, they should be plotted with arrows in a casual diagram, also known as "the impact-relations map." By the same token, if the effect of dimensions and factors in matrix T is lower than the threshold value, they dispatch minor influence on other dimensions/factors (Yang et al, 2008;Seyed-Hosseini et al, 2006;Sharma et al, 2016). IRM in a net format at the dimension level is graphed in Figure 2.…”

Section: Dematel Analysis At the Dimensional Levelmentioning

confidence: 99%

“…"Redesigning the organization" (D 4 ), with the lowest "cause degree" (À0.738), was identified as the Results of the "centrality degree" analysis at the factor level, as shown in Table V, pointed out that the top three factors with relatively higher connections with other factors in ranking order are: "Consensus Building" within the school (C 2 ) yielded a centrality degree of 15.113, followed by school leaders' "High Performance Emphasis" (C 4 ) with a centrality degree of 14.732 and "Communication Skills" (C 9 ) with a centrality degree of 14.724. It was documented in the literature that the "cause degree" can be an alternative for prioritization of factors' impacts on the whole system under investigation (Yang et al, 2008;Seyed-Hosseini et al, 2006;Sharma et al, 2016). Based on the threshold value judgments on the total-influecne matrix as mentioned earlier, "Emotional/Behavioral Coping" (C 11 ), with the highest cause degree of 0.291, was the master dispatcher, which emanates 3 outputs within the dimension with a total of 4 factors including itself, and 13 outputs within the whole 19-factor framework.…”

Section: Dematel Analysis At the Dimensional Levelmentioning

confidence: 99%

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Modeling critical leadership competences for junior high school principals

Tang

2018

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Purpose Based on generic reviews of research on school leadership, this study aims to conceptualize an emerging leadership competence model for further prioritizing school leadership training needs by decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP). Targeting at a specific group of junior high school principals in Taiwan, the synthesized prioritization of core competences and competence indicators computed by DEMATEL-based ANP can be used as a blueprint for systematically developing school principal preparation programs elsewhere based on contextually specific needs and concerns. Design/methodology/approach For the purpose of detecting the priority of competences extracted from a plethora of literature in relation to school leaders’ skills, abilities and knowledge, a hybrid MCDM model, known as DEMATEL-based ANP, is used to snapshot critical leadership competences for tailoring the intended junior high school principal preparation program. Findings Results of global weight computations by DEMATEL-based ANP show that the overall prioritization of the five dimensions in ranking order are “Redesigning the organization,” “Related leadership practices,” “Setting Directions,” “Personal Characteristics” and “Developing People.” Factor-level analysis indicated that “Legality,” “Consensus Building,” “Shared Vision,” “Strategic Management,” “Authoritarianism,” “Modeling Behavior” and “High Performance Emphasis” were prioritized factors to be included in developing the intended school principal preparation program. Research limitations/implications Contextually based findings yielded from DEMATEL-based ANP would only be applicable to the target context under investigation. Generalizing the findings to junior high school principals elsewhere might not be appropriate. Methods introduced in this study are extensible to further studies aiming at shaping leadership trainings in other school settings to achieve maximum impact based on contextually specific needs. Limitations associated with sophisticated mathematical computations involved in performing high-leverage MCDM models would shed light on the importance of interdisciplinary collaborations between scholars, practitioners and methodologists. Practical implications To efficiently deliver training for junior high school principals, the prioritization of core competences and competence indicators solicited by DEMATEL-based ANP can be used as a scenario-based reference for planning the intended school principal preparation program planning, as well as a mechanism for selecting and evaluating potential and incumbent school principals with desired leadership competences. Originality/value This study has used DELATEL-based ANP as a decision-making tool to disclose a plethora of competences extracted from different threads in the literature into a prioritized competence framework that differs from past one-size-fit-all approach to design and plan school principal preparation programs.

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Empirical assessment of the causal relationships among lean criteria using DEMATEL method

Cited by 40 publications

References 80 publications

Analyzing barriers of Green Lean practices in manufacturing industries by DEMATEL approach

Analyzing barriers of Green Lean practices in manufacturing industries by DEMATEL approach

Assessment of critical failure factors (CFFs) of Lean Six Sigma in real life scenario

Modeling critical leadership competences for junior high school principals

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