DEMATEL Approach Research Articles

Causal Analysis of Roof Caving on Underground Mine: A New Theory and Optimized DEMATEL Approach

In the context of mines, roof-caving incidents constitute the most common and expensive accidents. To enhance the management and prevention of roof-caving accidents, it is imperative to investigate the factors that contribute to such incidents and comprehend the intricate causal relationships among them. This study aims to classify the causes of these accidents into three categories: basic factors, controllable factors, and sudden factors, based on the mechanism of roof caving. The categorization is primarily determined by two indicators: intervisibility and variability. Furthermore, the study delves into analyzing the mutual influence relationships among these factors and proposes the BCX theory (Basic-Controllable-Sudden causing theory) for roof caving. Subsequently, based on this theory, an index system called BCX is established for roof caving, and the DEMATEL method is employed to analyze the factors within this index system. To attain more accurate results, this study utilizes interval trapezoidal type-2 fuzzy number scale optimization and Tsallis relative entropy to address the limitations of the DEMATEL method. By comparing the outcomes of the traditional and optimal DEMATEL methods, it is observed that the optimal method exhibits superior applicability in the BCX index system of roof caving, with results that align closely with the actual scenario. Therefore, the optimal DEMATEL method’s analysis of centrality, importance, and chain relationships between the factors within the BCX index system will offer valuable guidance for preventing roof-caving accidents in mining operations.

Evaluating environmental sustainability factors in implementation of reconfigurable manufacturing systems (RMS) using DEMATEL approach

Evaluating environmental sustainability factors in implementation of reconfigurable manufacturing systems (RMS) using DEMATEL approach

Ergonomic Risk Factor Priority Evaluation of Hand Fabric Painters based on Hybrid ISM– Spherical Fuzzy DEMATEL Approach

Ergonomic Risk Factor Priority Evaluation of Hand Fabric Painters based on Hybrid ISM– Spherical Fuzzy DEMATEL Approach

Identifying Critical Success Factors For Talent Agility In HRM: A Thematic-Fuzzy Dematel Approach

Identifying Critical Success Factors For Talent Agility In HRM: A Thematic-Fuzzy Dematel Approach

De-emulsifying barriers to the circular economy-a fertilizer industry perspective

PurposeThe fertilizer industry (FI) is well known for its high energy needs, reliance on limited natural resources, and negative environmental impacts (EIs). The consumption of 14.2 billion tons (BT) of materials and the extraction of 1,580 tons of resources per acre are solely attributed to the FI. Because of FI's resource and energy-intensive nature, it becomes crucial for FI to adopt a Circular Economy (CE) to improve efficiency, energy, and resource reuse. However, FI needs to strengthen its progress toward CE adoption. The proposed study comprehends and examines the barriers that inhibit the adoption of CE in FI.Design/methodology/approachA total of 15 barriers obstructing the CE in FI are identified and categorized into seven different categories. The barriers were identified by performing a comprehensive literature review and expert input. The study employs the DEMATEL approach to analyze the barriers and establish a causal relationship between them.FindingsThe study reveals that the most significant challenge to implementing CE in FI is governmental restrictions, which are followed by a lack of awareness and understanding and a need for a steady supply of bulk materials. The results comprehensively comprehend the pivotal factors that jeopardize the CE in FI and furnish a robust foundation for the methodology and tactics to surmount the barriers to CE adoption.Originality/valueThe literature review encompasses the barriers to the transition to CE and offers management and policy perspectives that help the FI's policy and decision-makers surmount these barriers with future research endeavors.

Barriers to the adoption of blockchain technology in the construction industry: a total interpretive structural modeling (T ISM) and DEMAT EL approach

Purpose The purpose of this study is to identify the key barriers to the adoption of blockchain technology (BCT) in the construction industry. This investigation seeks to understand the challenges that hinder the implementation of blockchain in this sector. Design/methodology/approach The study begins with a comprehensive review of relevant literature to identify the main barriers to blockchain adoption in construction. It then uses an integrated approach using total interpretive structural modeling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement to investigate the interrelationships among these barriers. In addition, the decision-making trial and evaluation laboratory (DEMATEL) method is used to establish cause-and-effect relationships between the identified barriers. Findings The study’s integrated TISM and DEMATEL methodology reveals several crucial barriers to blockchain adoption in the construction industry, including regulatory uncertainty, data privacy and security concerns, limited knowledge and expertise and dependence on blockchain operators. It also identifies scalability issues, uncertain benefits and lack of collaboration as dependent barriers, influenced by other identified barriers. Originality/value This study contributes original value by applying an integrated methodological approach to understand the complex interrelationships and dependencies among barriers to blockchain adoption in the construction industry. The findings provide decision-makers with insights to prioritize and effectively manage the key driving barriers, enhancing the understanding and strategic planning for blockchain implementation in this sector.

Remanufacturing Shoemaking Machine: Feasibility Study Using AHP and DEMATEL Approach

This study investigates the feasibility of remanufacturing shoemaking machines for sustainability using a combined AHP and DEMATEL approach. The AHP prioritizes machine types for remanufacturing, while the DEMATEL analyzes the interdependencies of influencing factors. Results indicate sole-making equipment as the most suitable candidate, followed by surface and forming equipment. Furthermore, appropriate product design, modularity, and a complete recycling system emerge as crucial for successful strategies. The DEMATEL confirms the foundational role of these factors in influencing a positive corporate image and business model. This study offers valuable insights and recommendations for Taiwan-based shoemaking machine OEMs in India to formulate strategies that promote remanufacturing. The findings highlight the critical role of OEMs in raising customer awareness regarding the environmental and economic benefits of returning end-of-life products and utilizing remanufactured machinery. Effective strategies should emphasize the importance of design for remanufacturing principles, modular machine architectures, and the establishment of comprehensive recycling systems. By fostering customer engagement through such initiatives, OEMs can create a collaborative ecosystem that facilitates the successful implementation of remanufacturing practices within the Indian market. Overall, the study presents a compelling case for remanufacturing as a strategic approach for OEMs to promote a circular economy, resource efficiency, and a sustainable future for footwear production.

Identification of Key Drivers for Performance Measurement in Sustainable Humanitarian Relief Logistics: An Integrated Fuzzy Delphi-DEMATEL Approach

Sustainable humanitarian relief logistics (SHRL) is gaining attention due to increased disasters, unpredictable demand, large volumes, high delivery stakes, and limited resources, evaluated through adaptable performance drivers. This study presents a novel hybrid framework for SHRL, combining the Fuzzy Delphi Method (FDM) and Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL). Initially, FDM is utilized to reach a consensus among experts concerning key performance indicators (KPIs) for humanitarian logistics and supply chains. By incorporating the inherent uncertainty and vagueness in expert judgments, FDM refines the list of key performance indicators that reflect the real-life conditions and constraints in disaster operations. Finally, the fuzzy DEMATEL approach was used to analyze the interrelationships among factors, identifying cause-and-effect behavior and ranking them, forming a robust theoretical framework. Based on the acquired results, the KPIs attached to the Quality (P1) aspect of the proposed framework have gained significant importance and are the main cause in a cause-and-effect relationship which impacts and is helpful to improve the performance of humanitarian organizations in all phases of disaster management. The KPIs prompt delivery (D1), and delivery accuracy (D2) are more significant, while capacity building and training (D19) and delivery compliance (D15) are least significant in SHRL scenarios. This research is expected to support humanitarian organizations in enhancing their capabilities, thereby improving the effectiveness and efficiency of aid delivery in disaster-stricken areas.

Unveiling barriers to Industry 5.0 adoption in supply chains: a DEMATEL approach

Purpose The objective of this research is to investigate the barriers impacting the integration of Industry 5.0 (I5.0) in supply chain sustainability. By understanding these challenges, this study aims to provide valuable insights that can guide organizations in successfully implementing the transformative potential of I5.0. The ultimate aim is to improve operational efficiency and advocate for sustainable practices within supply chains. Design/methodology/approach Research has used industry expert interviews, a comprehensive literature review and the decision-making trial and evaluation laboratory approach for analysis. Industry expert interviews serve to capture first-hand insights from professionals well versed in the field, providing practical perspectives on the barriers to I5.0 adoption. Findings This study identifies technological challenges, organizational barriers, regulatory impediments and economic constraints as pivotal factors inhibiting the widespread adoption of I5.0 in supply chain sustainability. Research limitations/implications This research serves as a foundation for future investigations into overcoming barriers to I5.0 adoption, guiding scholars and practitioners in refining strategies for successful implementation. Practical implications The findings offer practical insights for organizations aiming to adopt I5.0, informing decision-makers on key challenges and facilitating the development of targeted strategies to overcome them. Social implications The social implications lie in fostering sustainable business practices through the adoption of I5.0, contributing to environmental responsibility and societal well-being. Originality/value This research contributes original insights from practitioners, policymakers and researchers in navigating the complex landscape of I5.0 adoption, ensuring meaningful contributions to both academia and industry.

A CRITICAL ANALYSIS OF THE HVAC BUSINESS MODEL TO DETERMINE ITS SUCCESS CRITERIA

Air conditioning sales in Pakistan have scarcely risen in the recent decade. Air conditioning firms would face stiff competition in this stagnating industry. Some organizations realize that combining goods and services to meet consumer requirements and boost efficiency may boost profits. This Sovietization business model will shift distributors from product-centered to service-centered. Sovietization is not new in Pakistan's air conditioning sector, but it is not widely applied and some operations fail. Pakistan has limited ventilation and air conditioning business model studies. Successful Sovietization deployment requires understanding its components and their effects. This article examines the important success aspects of ventilation and air conditioning Sovietization in Pakistan and how they benefit stakeholders. The author will identify candidate success criteria through literature studies, expert interviews, and surveys. The Dematel approach ranks essential success elements. This research will improve knowledge of the Sovietization business model in Pakistan and foster innovation.

A Hybrid Fuzzy Approach of Similarity-Influence-Network and DEMATEL: Visualization and Analysis

The Social Influence Group Decision Making (SIGDM) entails intricate intra- and interpersonal exchanges among a group of experts as they endeavor to persuade others toward reaching a mutually agreed-upon solution. However, prevailing SIGDM approaches often overlook the critical aspect of visualizing criteria interdependencies. This visual representation becomes crucial as it provides supplementary insights into analyzing the significance of criteria and their impacts within decision-making processes. In order to address the oversight of neglecting criteria interdependent relationships, we extend the similarity-influence-network algorithm by integrating a cause-effect visualization procedure inspired by the DEMATEL approach. Additionally, we introduce several supplementary steps to enhance the efficacy of existing methodologies. The proposed model not only fills a gap in the current methodology but also provides accuracy of influence representation by incorporating influence-based collective preferences. This hybrid approach stands as a valuable alternative decision-making tool, providing a comparative analysis of the related existing approaches.

Evaluating barriers to blockchain technology for sustainable agricultural supply chain: A fuzzy hierarchical group DEMATEL approach

Evaluating barriers to blockchain technology for sustainable agricultural supply chain: A fuzzy hierarchical group DEMATEL approach

Critical Factors Affecting Trust in the Wine Supply Chain in Greece: A Grey DEMATEL Approach

Background: Although trust is a well-studied topic in supply chain management, the case of the wine supply chain has not been adequately investigated. Methods: A hybrid approach combining qualitative and quantitative data analysis was adopted. The research was divided into two phases: (i) identification of critical factors based on the literature, and (ii) analysis of eight experts’ insights on those factors by employing the grey DEMATEL approach. Results: Fourteen factors that affect trust in the wine supply chain were identified based on the academic literature. From the analysis of the experts’ views, with the use of the grey DEMATEL approach, the factors were classified into two groups. The first group (nine factors) concerns the factors that affect the rest and the second group (five factors) concerns those which are affected by the former factors. Conclusions: The study of trust in the supply chain can be further improved by monitoring the trends in the sector and by engaging a wider audience of stakeholders. This approach can be applied to various regions in order to examine whether the situation is different from country to country. Stakeholders will have the necessary information to support their decisions and prioritize their objectives, aiming at improving the whole supply chain.

Analysis of factors influencing women's participation in engineering education: An improved fuzzy DEMATEL approach

AbstractThis study focuses on promoting women's participation in engineering education (WPEE), which is crucial for inclusive and innovative development in the engineering fields and key to achieving the United Nations Sustainable Development Goals (SDGs). Due to the global shortage of women engineers, there is a need. to find effective ways to increase WPEE. This study aims to identify key factors that influence WPEE, which should be prioritized in policymaking. By adopting a three‐round Delphi survey and an improved fuzzy DEMATEL model, the findings reveal that the factors influencing WPEE are complex and multifaceted. Within the Chinese context, six factors, including hobbies and interest, employment expectation, parental occupation, incentive measures, social attitudes, and employment prospects, have been identified as key determinants of WPEE, exhibiting greater centrality and causality than others. This study not only provides empirical evidence from China but also introduces a novel approach to identifying key factors promoting WPEE, offering significant insights into global policy and practice.

Risk evaluation of mega infrastructure construction supply chain in engineering-procurement-construction projects: an integrated fuzzy AHP and fuzzy DEMATEL approach

PurposeThe paper covers mega infrastructure construction supply chain (MICSC) in Engineering-Procurement-Construction (EPC) projects, where the frequent occurrence of risk incidents has greatly affected human life. The research aims to establish a risk evaluation index system for MICSC in EPC projects, exploring what risk factors lead to risk incidents and measure the importance and causality of all these risk factors.Design/methodology/approachThe research applies a combination of quantitative and qualitative analysis methodology to process data sequentially. In the first place, risk factors for MICSC in EPC projects are extracted and identified from literature survey and expert interviews. In the second place, an integration model fuzzy Analytic Hierarchy Process (f-AHP) and fuzzy Decision-making Trial and Evaluation Laboratory (f-DEMATEL) is constructed to comprehensively analyze all these risk factors.Findings12 primary risk factors and 36 secondary risk factors comprise the risk evaluation index system for MICSC in EPC projects from 178 literature and 5 professionals. The results indicate that Political Situation (F1), Social Security (F2) and Management Mode (F8) are critical risk factors, where F1 and F2 are cause factors and F8 is an effect factor.Originality/valueThere are three main contributions of this paper. First and foremost, from the perspective of the research content, no other study has been able to assess risk factors for MICSC in EPC projects, while embedding nine phases of the whole project life cycle and six subjects of stakeholders into a risk evaluation index system. Additionally, from the perspective of research method, a combined model incorporating f-AHP and f-DEMATEL is constructed to avoid the one-sidedness of a single model. Last but not least, from the perspective of practical significance, focusing on the critical risk factors, a series of effective measures are formulated to make appropriate management decisions for nodal enterprises of MICSC, which can improve their risk management capabilities.

Selection of Industry 4.0 technologies for Lean Six Sigma integration using fuzzy DEMATEL approach

PurposeThis study aims to explore the integration of Industry 4.0 technologies with lean six sigma practices in the manufacturing sector for enhanced process improvement.Design/methodology/approachThis study used a fuzzy decision-making trial and evaluation laboratory approach to identify critical Industry 4.0 technologies that can be harmonized with Lean Six Sigma methodologies for achieving improved processes in manufacturing.FindingsThe research reveals that key technologies such as modeling and simulation, artificial intelligence (AI) and machine learning, big data analytics, automation and industrial robots and smart sensors are paramount for achieving operational excellence when integrated with Lean Six Sigma.Research limitations/implicationsThe study is limited to the identification of pivotal Industry 4.0 technologies for Lean Six Sigma integration in manufacturing. Further studies can explore the implementation challenges and the quantifiable benefits of such integrations.Practical implicationsIntegrating Industry 4.0 technologies with Lean Six Sigma enhances manufacturing efficiency. This approach leverages AI for predictive analysis, uses smart sensors for energy efficiency and adaptable robots for flexible production. It is vital for competitive advantage, significantly improving decision-making, reducing costs and streamlining operations in the manufacturing sector.Social implicationsThe integration of Industry 4.0 technologies with Lean Six Sigma in manufacturing has significant social implications. It promotes job creation in high-tech sectors, necessitating advanced skill development and continuous learning among the workforce. This shift fosters an innovative, knowledge-based economy, potentially reducing the skills gap. Additionally, it enhances workplace safety through automation, reduces hazardous tasks for workers and contributes to environmental sustainability by optimizing resource use and reducing waste in manufacturing processes.Originality/valueThis study offers a novel perspective on synergizing advanced Industry 4.0 technologies with established Lean Six Sigma practices for enhanced process improvement in manufacturing. The findings can guide industries in prioritizing their technological adoptions for continuous improvement.

Risk identification for business blockchain-based technology adoption via an advanced fuzzy MRDM architecture

Blockchain technology holds considerable amount of potential for all types of industries by executing transactions in a verifiable, efficient, and permanent channel. It has been widely viewed as a standard requirement for making industry ready for the future, but when it comes to practical applications, it still arouses numerous risks/challenges that need to be addressed. Therefore, it is essential to address this gap and establish a comprehensive and effective practical framework to align the information technology revolution with sustainable value creation. The purpose of this research is to realize to what extent an enterprise legacy system’s transformation benefits a blockchain-based system and to minimize its specific risk through a hybrid fuzzy MRDM (multiple rule-based decision making) model that integrates data envelopment analysis with rough set theory (DEA-RST) and the fuzzy DEMATEL approach grounded on a questionnaire derived from domain experts. We aim to point out the inherent risks of blockchain-based technology adoption and to assist senior engineers in designing or adopting a suitable architecture for practical operation and planning of any future integration and development. The potential risk evaluation of business blockchain adoption reveals that the priority improvement sequence based on dimensions is smart contract risk, value transfer risk, and standard risk. Furthermore, law and regulation are the most critical criteria.

Analysis of Internet of things implementation barriers in the cold supply chain: An integrated ISM-MICMAC and DEMATEL approach.

Integrating Internet of Things (IoT) technology inside the cold supply chain can enhance transparency, efficiency, and quality, optimize operating procedures, and increase productivity. The integration of the IoT in this complicated setting is hindered by specific barriers that require thorough examination. Prominent barriers to IoT implementation in a cold supply chain, which is the main objective, are identified using a two-stage model. After reviewing the available literature on IoT implementation, 13 barriers were identified. The survey data were cross-validated for quality, and Cronbach's alpha test was employed to ensure validity. This study applies the interpretative structural modeling technique in the first phase to identify the main barriers. Among these barriers, "regulatory compliance" and "cold chain networks" are the key drivers of IoT adoption strategies. MICMAC's driving and dependence power element categorization helps evaluate barrier interactions. In the second phase of this study, a decision-making trial and evaluation laboratory methodology was employed to identify causal relationships between barriers and evaluate them according to their relative importance. Each cause is a potential drive, and if its efficiency can be enhanced, the system benefits as a whole. The findings provide industry stakeholders, governments, and organizations with significant drivers of IoT adoption to overcome these barriers and optimize the utilization of IoT technology to improve the effectiveness and reliability of the cold supply chain.

Examining interrelationship amid behavioural biases affecting investment decisions - using DEMATEL approach

Examining interrelationship amid behavioural biases affecting investment decisions - using DEMATEL approach

Designing a Sustainable Supply Chain Agility Model in the Oil and Gas Industry of Bushehr Province Using a Mixed Approach

The primary objective of this research is to design a sustainable supply chain agility model in the oil and gas industry of Bushehr Province. This study employs a mixed-method approach (qualitative-quantitative), content analysis, the fuzzy DEMATEL technique, and the Analytic Network Process (ANP). The statistical population consists of managers, officials, and mid- to senior-level experts from companies operating in the oil and gas industry of Bushehr Province. A sample size of 10 managers, experts, and industry specialists was selected for each stage. The qualitative findings revealed that sustainable supply chain agility indicators are comprised of environmental factors (green purchasing, eco-friendly and economic design and packaging, environmental preservation), economic factors (adoption of information technology, responsiveness, speed, competence, flexibility), and social factors (customer collaboration, ethical purchasing, social responsibility, compliance with laws, integration of relationships, and supplier collaboration). In the quantitative section, the first stage using the fuzzy DEMATEL approach showed that environmental factors fall under the category of effect criteria, while economic and social factors fall under the category of cause variables. ANP findings indicated that among the environmental factors, the green purchasing indicator holds the highest weight (0.33), followed by the environmental preservation indicator (0.087) and eco-friendly and economic design and packaging (0.086). Among the economic factors, the speed indicator has the highest weight (0.0524), followed by flexibility (0.0513) and competence (0.0505). Among the social factors, the customer collaboration indicator (0.0439) and compliance with laws (0.0438) have the highest weight.