Empirical assessment of critical success factors of leagile manufacturing using fuzzy DEMATEL approach

2018 ◽  
Vol 11 (4) ◽  
pp. 293
Author(s):  
Naveen Virmani ◽  
Rajeshwar Sahai ◽  
Rajeev Saha
2021 ◽  
Author(s):  
Shailender Singh ◽  
Mani Sankar Dasgupta ◽  
Srikanta Routroy

Abstract The design of an e-waste collection policy is challenging, especially for a country like India, where the economy is developing state, and there is a large diversity in socio-economic factors. The e-waste collection policy has an impact on the various stakeholders such as the manufacturer, the raw material producers, the assemblers, the retailers, the generator (households and bulk consumers), the scrap dealers, the smelters and the recyclers as well as the regulators. The design of an e-waste collection policy needs to consider the appropriate set of Critical Success Factors (CSFs) which will maximize the e-waste collection providing business sustainability to the stakeholders at the same time satisfying the environmental regulations in the operating locations. Twenty-three CSFs identified along with six implication factors for e-waste collection policy framework based on a literature survey and experts view. The fuzzy DEMATEL approach is employed to analyze the CSFs to design an e-waste collection policy in India from a wide perspective. Cause and effect interrelationship is established among the CSFs, and also their impacts are evaluated to segregate the CSFs into cause group (prominent influencing and independent) and effect group (influenced and dependent). The CSFs such as technology involvement, green practices, environmental program, certification and licensing, public ethics and stakeholder’s awareness for circular economy are prominent influencing CSFs for e-waste collection policy in India. The current study is expected to provide a platform for policymakers to design the e-waste collection policy.


Buildings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 311
Author(s):  
Tirth Patel ◽  
Hirakraj Bapat ◽  
Daksh Patel ◽  
Jacobus Daniel van der Walt

The architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry. Various factors are associated with the selection of BIM software depending on a company’s requirements and constraints. BIM software selection is a daunting process as most AEC industries are unaware of the factors to consider when making this important decision. This study focuses on identifying the critical success factors (CSFs) and their interrelationship for efficient BIM software selection. For this research, a questionnaire was developed and disseminated in two stages in India, the United States of America (U.S.A.), Germany, and the United Kingdom (U.K.). In the first stage, a total of twenty-six identified CSFs were analyzed with the factor comparison method (FCM) to identify the top fifteen CSFs. Subsequently, the identified top fifteen CSFs were further assessed by implementing Fuzzy DEMATEL to categorize them into cause-and-effect groups based on respective influence strength, depicted with a causal diagram. Out of fifteen CSFs, five and ten factors were grouped into the cause group and effect group for BIM software selection, respectively. The most important factors were identified as software functionality, BIM adoption strategies and processes, interoperability, staff competencies, BIM standards and regional regulations. The outcome of this research can help BIM user companies improve their BIM software selection framework and decision-making process during purchasing software.


2018 ◽  
Vol 25 (2) ◽  
pp. 400-425 ◽  
Author(s):  
Devendra K. Yadav ◽  
Akhilesh Barve

Purpose The purpose of this paper is to explore and analyse the critical success factors (CSFs) of humanitarian supply chains in mitigating the impact of cyclones in the Indian context using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. Design/methodology/approach The selection of CSFs of humanitarian supply chains has been done through several secondary sources and discussion with 12 disaster experts. Thereafter, DEMATEL, an expert judgement-based technique, has been used for selecting, building and analysing a structural model that involves causal relationships between the set of identified CSFs. Furthermore, to accommodate the vagueness involved in human judgement, fuzzy logic is incorporated with the DEMATEL. Findings Based on a literature survey and expert judgement, total 16 CSFs of humanitarian supply chains have been segmented into cause and effect groups based upon their relative influencing scores. The analysis shows that the out of 16 CSFs, ten CSFs have been categorised into cause group CSFs and six as the effect group CSFs. Practical implications The findings of this study will help disaster management institutions, humanitarian agencies, logisticians, NGOs and cyclone-prone countries to improve the critical ingredients in designing and executing an effective cyclone response operation. Originality/value In this study, fuzzy DEMATEL has been applied to identify and analyse the CSFs of humanitarian supply chains for the cyclone disaster response in the Indian context, which is a novel contribution widening the existing knowledge in humanitarian relief domain.


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