Analyzing the agile manufacturing barriers using fuzzy DEMATEL

2017 ◽  
Vol 24 (7) ◽  
pp. 1912-1936 ◽  
Author(s):  
Pavan Kumar Potdar ◽  
Srikanta Routroy ◽  
Astajyoti Behera

Purpose The purpose of this paper is to identify and analyze the agile manufacturing barriers (AMBs) for establishing a cause and effect relationship among them. Design/methodology/approach A methodology is proposed using fuzzy decision-making trial and evaluation laboratory (DEMATEL) to capture multiple experts’ qualitative judgments for mitigating the impact of the AMBs. In order to validate the proposed methodology, it is applied to an Indian automobile manufacturing company. Findings Out of 36 AMBs identified through literature review, 20 AMBs are found to be relevant to the case company. Five AMBs (i.e. lack of resource reconfiguration, inefficient conflicting management styles, imperfect market knowledge, inadequate information handling and improper strategic plan) were identified as significant cause group where the case company has to put efforts and resources. Also the impact relationship matrix for each AMB has been developed to visualize its interactions (i.e. influencing and influenced) among other AMBs. Research limitations/implications The results obtained are specific to the Indian automobile manufacturing company and it cannot be generalized for every manufacturing company or any other sector. However, the proposed approach can be a basis and provide a platform to understand and analyze the interactions between AMBs. Practical implications The proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of AMBs for successful implementation of agile manufacturing. Originality/value According to the authors’ knowledge, no work is reported in the literature that proposes a framework using fuzzy DEMATEL for the analysis of AMBs in Indian automobile manufacturing company.

2019 ◽  
Vol 17 (2) ◽  
pp. 300-329 ◽  
Author(s):  
Shishir Goyal ◽  
Srikanta Routroy ◽  
Anupam Singhal

PurposeThe purpose of this paper is to analyze the Environmental Sustainability Enablers (ESEs) for an Indian steel manufacturing company to select the appropriate set of ESEs for implementing and enhancing environmental sustainability.Design/methodology/approachA methodology using fuzzy Decision-Making Trail and Evaluation Laboratory (DEMATEL) is proposed to analyze ESEs capturing multiple experts’ qualitative judgments on their mutual impacts. It is applied to an Indian steel manufacturing company to understand the salient features of the concept.FindingsThe relevant 18 ESEs were classified into cause and effect group and also interactions (i.e. influencing and influenced) of each ESE with other ESEs were evaluated. It was observed that the five ESEs (i.e. competitors’ environmental sustainability strategy, environmental compliance certification, government regulations and incentives, influence of external factors and air pollution controlling system) are the most prominent in the cause group.Research limitations/implicationsThe results obtained are specific to an Indian steel manufacturing company and it cannot be generalized for steel manufacturing sector. However, the current paper can show direction to carry out such work in other manufacturing companies.Practical implicationsThe proposed methodology will be helpful for allocating efforts and resources to enhance the impact of ESEs for successful achievement of environmental sustainability.Originality/valueNo such paper has been reported in the literature with an objective to develop structural framework for Indian steel manufacturing company to improve environmental sustainability.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey

PurposeThe purpose of this study is to develop a methodology for the identification, categorization and prioritization of operational government-supported healthcare supply chain barriers (GHSCBs).Design/methodology/approachThis study develops a theoretical background for identifying and segregating relevant GHSCBs and proposes a 5W2H (a Toyota production system) with fuzzy DEcision MAking Trial and Evaluation Laboratory (DEMATEL) embedded approach to quantify the causal–effect relationships among the identified operational GHSCBs.FindingsSeven GHSCBs (i.e. uncertainty of demand management, lack of continuous improvement and learning, lack of deadline management, lack of social audit, warehousing equipment unavailability, human resource shortage and inadequate top level monitoring) were identified as significant cause group where the government, top management and decision-makers of government-supported healthcare supply chain (GHSC) have to put efforts.Research limitations/implicationsThe results obtained are specific to the GHSC of Indian perspective, which could be extended to global context. However, the proposed approach can be a base and provide a platform to understand and analyze the interactions among GHSCBs.Practical implicationsThe proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of GHSCBs for successful implementation of healthcare supply chain.Originality/valueAccording to best of the authors' knowledge, this is the first study of operational barrier for GHSC in India in specific. The use of 5W2H embedded fuzzy DEMATEL approach for the development and analysis of the theoretical framework of Indian GHSCBs is unique in barrier literature.


2014 ◽  
Vol 18 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Srikanta Routroy ◽  
C.V. Sunil Kumar

Purpose – The purpose of this paper is to identify, quantify and establish relationship (i.e. cause and effect) among various supplier development program enablers (SDPEs) in a specific manufacturing environment. Design/methodology/approach – The proposed methodology runs into four phases, i.e. defining supplier development program (SDP) environment, identifying relevant SDPEs, collecting experts’ qualitative opinions regarding SDPEs and analyzing the SDPEs using Fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory). The fourth phase is programmed using Matlab 7.10.0 (R2010a). The proposed methodology is implemented in an Indian manufacturing company and the results are analyzed to provide directions for the company while implementing SDPs. Findings – The proposed methodology leads to the ranking of SDPEs, classification of SDPEs into cause and effect groups and establishment of interactions for each SDPE using impact relationship map. Of the 20 SDPEs considered in the analysis, “top management commitment” and “mutual visits by competent personnel from both sides” are the two most important SDPEs for implementing SDP in an Indian manufacturing company taken as a case study. The outcomes are verified by consulting the said company’s experts and their validity is confirmed. Research limitations/implications – Because the results obtained are specific to a manufacturing environment, they cannot be generalized. However, the proposed approach can be adopted for analyzing SDPEs in any manufacturing environment, provided the set of SDPEs is selected considering its priorities. Practical implications – The proposed methodology will identify the SDPEs to be managed for successful implementation of SDPs. Originality/value – The proposed methodology has the capability to rank the SDPEs and their interrelationships. This will definitely help supply chain managers to precisely choose and manipulate the SDPEs for successful implementation of SDP.


2018 ◽  
Vol 25 (6) ◽  
pp. 1795-1828 ◽  
Author(s):  
Sachin Kumar Mangla ◽  
Sunil Luthra ◽  
Suresh Kumar Jakhar ◽  
Mohit Tyagi ◽  
Balkrishna Eknath Narkhede

Purpose From last few decades, logistics management (LM) constitutes a global concern among organization’s supply chain (SC) to improve their business effectiveness. The purpose of this paper is to uncover and analyze the critical factors (CFs) related to the implementation of effective LM concept and benchmark the SC performance. Design/methodology/approach The most common (16) CFs were identified and selected through literature and use of the Delphi method. Subsequently, the selected most common CFs were analyzed to distinguish their causal relations using the fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) technique under unclear surroundings. A case example of Indian Logistics Company is also discussed to reveal the practical applicability of the research. Findings Provision of the effective information communication and technological developments in the system and Management dedication, support and involvement CFs are found to have the top most influences in the effective implementation of LM. This paper also groups the CFs into cause and effect relationship which provides valuable insights for analyzing the factors in successful implementation of LM. Practical implications This work attempts to understand the different CFs, their relative position and the importance rating in the system, due to which, managers can differentiate the factor which greatly affects the concepts of implementing LM, and thus, improvements can be made accordingly. Originality/value First, this work offers 16 CFs to LM implementation from a SC scenario. Second, in the context of contributing to the theory, the combined Delphi and fuzzy DEMATEL-based model is provided that helps in managing the logistic related issues effectively.


2015 ◽  
Vol 21 (5) ◽  
pp. 1117-1139 ◽  
Author(s):  
Dimitrios Chatzoudes ◽  
Prodromos Chatzoglou ◽  
Eftichia Vraimaki

Purpose – Knowledge Management (KM) is a contemporary research field of high interest for both academics and practitioners. For more than 15 years, successful companies have used KM as their most valuable source of competitive advantage. The purpose of this paper is attempt to extend the existing empirical approaches (research models), by focusing on the process of KM and its diffusion throughout the organisation. Design/methodology/approach – The present study proposes a newly developed conceptual framework that adopts a four-step approach, highlighting four areas of interest that have never been simultaneously examined before: knowledge antecedents, KM process, KM outcomes (satisfaction from the KM process) and individual (employee) outcomes. The proposed conceptual framework is tested, using a structured questionnaire, in a sample of 211 bank employees. The reliability and the validity of the questionnaire were thoroughly examined, while research hypotheses were tested using the “Structural Equation Modelling” technique. Findings – The results revealed that companies with enhanced innovative culture and an organisational climate that facilitates cooperation between employees tend to promote and ultimately maximise knowledge diffusion. Moreover, a contribution of the present study is the empirical confirmation of the relationship between the proposed factor “satisfaction from the knowledge management process” and both organisational commitment and job satisfaction. Research limitations/implications – A limitation stemming from the adopted methodology is the use of self-report scales to measure the factors (constructs) of the proposed model. Moreover, the present paper lacks a longitudinal approach, since it provides a static picture (snapshot) of the application of KM within enterprises. Practical implications – The paper highlights-specific areas (factors) that companies should enhance in order to harvest the potential benefits of KM. According to the empirical findings, organisations should focus on their human capital when managing their knowledge processes. After all, employee satisfaction from the KM process is found to be crucial for enhancing their job satisfaction and job performance. Originality/value – The paper proposes an enhanced conceptual framework that incorporates critical issues concerning the successful implementation of KM, thus, providing valuable tools for decision makers and academics. Its originality lies in the nature of its approach. More specifically, the present study examines the impact of KM on individual-level (employee), something that rarely appears in the relevant literature. Additionally, it incorporates “satisfaction from the knowledge management process” as a significant outcome of the KM process, thus, enriching the literature of the field. Finally, it investigates the impact of three contextual factors (innovative culture, organisational climate, inter-functional coordination) on KM process (externalisation, internalisation, socialisation, combination), adopting an approach that acknowledges KM as a function (factor) that transmits contextual influence onto individual effectiveness. The results of the study may be generalised in other sectors with similar characteristics (knowledge-intensive and learning organisations, service sector companies, etc) and in other developed countries whose financial institutions face similar challenges as the ones in Greece.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Justin Zuopeng Zhang ◽  
Praveen Ranjan Srivastava ◽  
Prajwal Eachempati

PurposeThe paper aims to build a customized hybrid multi-criteria model to identify the top three utilities of drones at both personal and community levels for two use cases: firefighting in high-rise buildings and logistic support.Design/methodology/approachA hybrid multi-criterion model that integrates fuzzy analytical hierarchy process (AHP), Best Worst, fuzzy analytical network process (ANP), fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) is used to compute the criteria weights. The weights are validated by a novel ensemble ranking technique further whetted by experts at the community and personal levels to two use cases.FindingsDrones' fire handling and disaster recovery utilities are the most important to fight fire in high-rise buildings at both personal and community levels. Similarly, drones' urban planning, municipal works and infrastructure inspection utilities are the most important for providing logistics support at personal and community levels.Originality/valueThe paper presents a novel multi-criteria approach, i.e. ensemble ranking, by combining the criteria ranking of individual methods – fuzzy AHP, Best-Worst, fuzzy ANP and fuzzy DEMATEL – in the ratio of optimal weights to each technique to generate the consolidated ranking. Domain experts also validate this ranking for robustness. This paper demonstrates a viable methodology to quantify the utilities of drones and their capabilities. The proposed model can be recalibrated for different use case scenarios of drones.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simon Chester Evans ◽  
Jennifer Bray ◽  
Claire Garabedian

Purpose The purpose of this paper is to report on an independent evaluation of a three-year “Creative Ageing” programme, focussing on the impacts for participants and factors promoting successful delivery of sessions. Design/methodology/approach Artists provided feedback through reflective journals and questionnaires, while the views of care staff and participants were also captured in a standard format at the end of each arts session. Thematic analysis of the qualitative data identified common themes. Findings Twenty-three arts projects were delivered across a range of settings and through diverse art forms including dance, drama, music, visual arts and poetry. They reached nearly 2,200 participants who recorded over 8,100 session attendances in total. Participation in high quality creative experiences improved well-being for older people, as well as increasing social interaction and reducing isolation. Several factors facilitated successful implementation and delivery of the activities, particularly the need to hold planning meetings with staff to provide guidance around participant numbers and suitability, minimising disruption of the sessions and the supportive role of staff during the sessions. Opportunities for reflection enabled artists to address potential challenges and adapt their practice to meet the needs and preferences of participants and to the complexities of diverse settings. Originality/value Previous research has largely focussed on the impact of activities in a single setting. This study supports the role of creative arts in increasing social interaction as an attempt to tackle isolation and loneliness, both for older people living in the community and for those living in a communal setting such as care homes and supported living schemes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manju Saroha ◽  
Dixit Garg ◽  
Sunil Luthra

PurposeCircular supply chain management (CSCM) is proving to be a strong contributor towards sustainable development. The purpose of this study is to analyse the circular practices in CSCM implementation towards sustainability in the Indian auto sector; these practices are at the initial stage in a developing economy.Design/methodology/approachIn this research work, a framework has been developed to enrich understanding of various CSCM practices for sustainability. To develop a causal framework, a Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) methodology has been adopted.FindingsThe results produce 32 practices with cause and effect groups and their importance/priorities. Based on F-DEMATEL, these 32 practices are grouped into cause and effect groups based on R + C and R − C values.Research limitations/implicationsThe findings will help managers and decision-makers to gain a deeper understanding of the practices and their nature; the governmental and financial practices are identified as the most critical factors that need more attention. The results will help strategy makers to plan accordingly.Originality/valueThis research has identified and analysed 32 basic practices and their interrelationships to achieve sustainability in CSCM.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avirag Bajpai ◽  
Subhas C. Misra

PurposeThis research paper aims to analyze the critical barriers to implementing digitalization in the Indian construction industry as Indian construction companies are lagging in the implementation of digital technologies in the work environment.Design/methodology/approachIn this research paper, a qualitative research approach is adopted, and multiple detailed interviews are conducted with industry and academic experts. Further, multi-criteria decision-making (MCDM) techniques are used to finalize the prioritization among various alternatives. The fuzzy-decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) and interpretive structural modeling (ISM) techniques are employed to find the exact relationship among the identified alternatives.FindingsThis study identifies 14 critical barriers from an extensive literature review and multiple interviews with industry professionals, and further driving and critical barriers are identified.Research limitations/implicationsIn this research paper, an exploratory study with a limited number of respondents from a large Indian construction company is carried out. Further, a detailed longitudinal analysis can be done to assess the subjectivity of the participants with more advanced statistical tools. However, this research discusses several points pertaining to the implementation of digitalization in the construction industry. The research further identifies the critical barriers to digitalization in the Indian construction industry.Practical implicationsThe finding of the study has two-pronged implications. First, it provides a road-map to the construction industry by highlighting the engagement of top management as the key focus area for successful digitalization. Second, the finding also shows similarity of the digitalization process to the adoption of process improvement techniques like lean and total quality management (TQM), wherein the top management plays a crucial role in ushering in the implementation of a disruptive change.Originality/valueThe research is unique in two ways. First, this is one of the very few attempts to understand digitalization in the Indian context. Second, the research also demonstrates that the combination of fuzzy DEMATEL and ISM techniques can be successfully employed in the emerging field of construction digitalization research.


2020 ◽  
Vol 33 (1) ◽  
pp. 183-203
Author(s):  
Rahul Kumar ◽  
Kanwarpreet Singh ◽  
Sanjiv Kumar Jain

PurposeThe study aims at empirically investigating and prioritizing the critical barriers for the successful implementation of agile manufacturing in the medium- and large-scale Indian manufacturing industries.Design/methodology/approachA literature review of peer-reviewed journals and discussion with experts is used to identify 17 barriers to the implementation of agile manufacturing. An empirical survey is then conducted to collect data regarding the agile manufacturing barriers and is further analyzed using the factor analysis and vlsekriterijumska optimizacija i kompromisno resenje (VIKOR).FindingsBased on the survey of empirical data, the investigated critical barriers were reduced in five critical categories, as follows: Managerial constraints, technological constraints, human resource–related constraints, operational constraints and organizational culture-related constraints, which are further ranked in terms of their severity using VIKOR. This research advocates the development of a strategy for addressing the most critical barriers instead of focusing on all for the successful implementation of agile manufacturing.Originality/valueThis work contributes to agile manufacturing literature by the structured presentation of the barriers to implement agile manufacturing in the Indian manufacturing industry. It also extends the integrated factor analysis and VIKOR method to investigate and rank the barriers.


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