Benchmarking the logistics management implementation using Delphi and fuzzy DEMATEL

2018 ◽  
Vol 25 (6) ◽  
pp. 1795-1828 ◽  
Author(s):  
Sachin Kumar Mangla ◽  
Sunil Luthra ◽  
Suresh Kumar Jakhar ◽  
Mohit Tyagi ◽  
Balkrishna Eknath Narkhede
Keyword(s):  
Logistics Management ◽  
Fuzzy Decision Making ◽  
Importance Rating ◽  
Successful Implementation ◽  
Information Communication ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Logistics Company ◽  
Technological Developments ◽  
Global Concern

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.

Analyzing the operational barriers of government-supported healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Causal Effect ◽  
Demand Management ◽  
Theoretical Background ◽  
Fuzzy Decision Making ◽  
Successful Implementation ◽  
Fuzzy Dematel ◽  
Content Type ◽  
The Government ◽  
The Impact

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.

Analyzing the agile manufacturing barriers using fuzzy DEMATEL

2017 ◽  
Vol 24 (7) ◽  
pp. 1912-1936 ◽  
Author(s):  
Pavan Kumar Potdar ◽  
Srikanta Routroy ◽  
Astajyoti Behera
Keyword(s):  
Agile Manufacturing ◽  
Fuzzy Decision Making ◽  
Relationship Matrix ◽  
Successful Implementation ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Automobile Manufacturing ◽  
Manufacturing Company ◽  
Multiple Experts ◽  
The Impact

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.

Evaluating the effectiveness of drones in emergency situations: a hybrid multi-criteria approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Justin Zuopeng Zhang ◽  
Praveen Ranjan Srivastava ◽  
Prajwal Eachempati
Keyword(s):  
Fuzzy Ahp ◽  
Use Cases ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Emergency Situations ◽  
High Rise ◽  
Criteria Weights ◽  
Infrastructure Inspection ◽  
Logistic Support

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.

Analyzing supplier development program enablers using fuzzy DEMATEL

2014 ◽  
Vol 18 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Srikanta Routroy ◽  
C.V. Sunil Kumar
Keyword(s):  
Development Program ◽  
Successful Implementation ◽  
Supplier Development ◽  
Manufacturing Environment ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Cause And Effect ◽  
Management Commitment ◽  
Manufacturing Company ◽  
Top Management Commitment

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.

Identification and analysis of circular supply chain management practices for sustainability: a fuzzy-DEMATEL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manju Saroha ◽  
Dixit Garg ◽  
Sunil Luthra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management Practices ◽  
Research Work ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Chain Management ◽  
Content Type ◽  
Cause And Effect ◽  
Causal Framework

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.

Barriers to implementing digitalization in the Indian construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avirag Bajpai ◽  
Subhas C. Misra
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Research Paper ◽  
Fuzzy Decision Making ◽  
Top Management ◽  
Research Approach ◽  
Extensive Literature ◽  
Total Quality ◽  
Fuzzy Dematel ◽  
Content Type

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.

Evaluation of factors affecting the decision to adopt blockchain technology: A logistics company case study using Fuzzy DEMATEL

2020 ◽  
Vol 39 (5) ◽  
pp. 6279-6291
Author(s):  
Ayça Maden ◽  
Emre Alptekin
Keyword(s):  
Financial Services ◽  
Technology Implementation ◽  
Fuzzy Decision Making ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Real Time Processing ◽  
Factors Affecting ◽  
Blockchain Technology ◽  
Logistics Company ◽  
Reducing Costs

Blockchain practices have been attracting attention in industries other than financial services, since blockchain is not only an information technology, but also an institutional technology owing to its new currency economics and distributed structures. Today, supply chains, power, and food/agriculture have emerged as promising areas in terms of their potential to incorporate blockchain technology for improving processes and reducing costs. Logistics corporations, especially, have been concentrating on developing efficiency in integrated data, fleet management, and communication issues, to achieve cost advantages. Experts from a well-known logistics company in Turkey contributed to our study by helping to assess critical factors for successful blockchain technology implementation. Our research topic included determining whether blockchain technology is suitable for this company. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) was used to determine and evaluate the critical factors to encourage blockchain technology adoption, based on the company’s requirements. For the company experts, the factors affecting the decision to adopt blockchain technology were, in order of priority: cryptocurrency, instant money transfer, privacy, real time processing, smart contract, security, authentication, transparency, immutability, traceability, distributed ledger, reduced delays, and peer-to-peer networks.

Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S Vinodh ◽  
Vishal Ashok Wankhede
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Skills Training ◽  
Fuzzy Decision Making ◽  
System Modelling ◽  
Fuzzy Decision ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Modern Manufacturing

PurposeThe aim of this study is to analyze workforce attributes related to Industry 4.0 using fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy combinative distance-based assessment (CODAS).Design/methodology/approachTechnological trends stipulate various revolution in industries. Industry 4.0 is a vital challenge for modern manufacturing industries. Workforce adoption to such challenge is gaining vital importance. Therefore, such workforce-related attributes need to be identified for enhancing their performance in Industry 4.0 environment. In this context, this article highlights the analysis of 20 workforce attributes for Industry 4.0. Relevant criteria are prioritized using fuzzy DEMATEL. Workforce attributes are prioritized using fuzzy CODAS.FindingsThe key attributes are “Skills/training in decision-making (WA2)”, “Competences in complex system modelling and simulation (WA1)” and “Coding skills (WA20)”.Research limitations/implicationsIn the present study, 20 workforce attributes are being considered. In future, additional workforce attributes could be considered.Practical implicationsThe study has been conducted based on inputs from industry experts. Hence, the inferences have practical relevance.Originality/valueThe analysis of workforce attributes for Industry 4.0 using MCDM methods is the original contribution of the authors.

Modeling the Big Data challenges in context of smart cities – an integrated fuzzy ISM-DEMATEL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Imran Khan ◽  
Shahbaz Khan ◽  
Urfi Khan ◽  
Abid Haleem
Keyword(s):  
Big Data ◽  
Structural Model ◽  
Smart Cities ◽  
Integrated Approach ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Use Of Resources ◽  
Implementation Level ◽  
Interpretive Structural Model

PurposeBig Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships.Design/methodology/approachThe 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL).FindingsEvaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities.Research limitations/implicationsThis study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities.Originality/valueThis research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.

Using the fuzzy multicriteria decision making approach to evaluate brand equity: a study of privatized firms

2019 ◽  
Vol 29 (3) ◽  
pp. 335-354
Author(s):  
Hasan Dinçer ◽  
Tuba Bozaykut-Buk ◽  
Şenol Emir ◽  
Serhat Yuksel ◽  
Nicholas Ashill
Keyword(s):  
Decision Making ◽  
Text Mining ◽  
Brand Equity ◽  
Business Performance ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Privatized Firms

Purpose The purpose of this paper is to present a multidimensional evaluation of brand equity performance incorporating dimensions adopted from the balance scorecard (BSC) approach to business performance. Design/methodology/approach In this study, text mining is used for automatic extraction of valuable information from textual data such as the financial reports of firms. Instead of expert opinions, linguistic scales built upon outcomes of text mining are used as inputs for decision-making. The proposed model combines fuzzy DEMATEL (FDEMATEL), fuzzy ANP (FANP), fuzzy TOPSIS (FTOPSIS) and fuzzy VIKOR (FVIKOR) methods for weighting criteria and ranking alternatives. Findings Using data from five privatized firms in Turkey, the study’s findings demonstrate that the customer is the most important dimension of brand equity performance evaluation. Cash flow and brand loyalty are identified as the most important criteria in the measurement of brand equity performance. Practical implications Findings highlight the importance of firms taking action to increase consumer perceptions, attitudes and behaviors in the privatization processes. For this purpose, privatized firms need to understand the expectations of customers to increase customer satisfaction and loyalty and therefore improve brand equity. Originality/value The paper contributes to literature in several important ways. First, by adopting the BSC approach, it proposes a holistic and a multidimensional model for measuring brand equity performance. Second, the study offers a novel methodology using a hybrid multi-criteria decision-making model designed for the fuzzy environment. Third, the study uses the knowledge extraction tool of text mining in the fuzzy decision-making process. Finally, the study evaluates the brand equity performance of privatized firms in an emerging country context.

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