11 research outputs found

    From complexity to clarity: A dematel analysis of critical blockchain technology adoption factors

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    This exploration is initiated with resolute authentic intention of unravelling complex and intricate topics surrounding the adoption of blockchain technology in supply chain management. Thus, through the operation of DEMATEL (Decision Making Trial and Evaluation Laboratory) analysis, a methodological approach known for capturing and evaluating complex relationships is rather crucial as it could transition the complexity inherent in these factors to a state of clarity. It delves into three influences of technological factors namely, scalability, interoperability, and security that serve as decisive influence on blockchain adoption. The study explores the influence of those technological factors and the dynamic of collective impact on decision-making process in blockchain adoption within the supply chain context. The findings produced from this study hold strong implications for practitioners, policymakers, and researchers seeking to enhance the strategic adoption of blockchain technology in supply chain ecosystems

    Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model

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    The construction sector drives our country’s economic growth and fosters the development of human resources. Yet, the industry faces a significant challenge with a heightened rate of workplace fatalities, making safety a pressing concern. Unsafe working environments and employee conduct contribute to the escalation of construction accidents. Addressing safety compliance and safety participation is critical for improving safety performance. Past studies have concentrated around technological approaches, leaving a notable gap in exploring behavioural interventions within the workplace. The critical factors that influence safety compliance intention and safety participation would be best explained by using Theory of Planned Behaviour (TPB). TPB posits that actual behaviour can be predicted by intention, while the formation of intention is mainly determined by attitude, subjective norms and perceived behavioural control. Although the TPB framework is considered, there remains a lack of evidence substantiating the correlation between the safety predictors, safety compliance intention, and safety participation. This study investigates the impact of safety predictors on both safety compliance intention and safety participation through the application of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. Through DEMATEL technique, 25 experts were enlisted to offer pairwise rankings regarding the predictors influencing both safety compliance intention and safety participation. The predictors examined in the study include Attitude, Subjective Norm and Perceived Behavioural Control. The research findings highlighted substantial interconnections among all safety predictors, with “Attitude” identified as the most influential predictor among them. Organizations should prioritize this to enhance safety performance. Enhancing safety performance in construction projects becomes feasible through comprehensive understanding and intervention in the interconnections among safety predictors, safety compliance intention, and safety participation

    New possibilities of using DEMATEL and ERPN in the new PFMEA hybrid model

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    The aim of the paper is to examine the requirements of producers in post-communist countries with lower economic level. The first requirement was how to overcome the limitations of conventional PFMEA to propose measures effectively. The second requirement solved the economic effect of failure modes. The aim of the paper was to create a new hybrid PFMEA–DEMATEL–ERPN model to manage failure modes to resolve the requirements. The DEMATEL model overcame the limitations of PFMEA. DEMATEL data were used to estimate the functionality of the proposed models. Criteria such as the occurrence of defective products and the probability of their occurrence (O and RPN) were monitored. ERPN also overcame the limitations of PFMEA. Internal and external costs arise as effects of failure modes. The costs were included in the economic evaluation of the models. We validated the models in a transfer pressing process. The estimation of models’ functionality proved to be correct. The economic evaluation refined the research results and resolved the second requirement of the manufacturers. The DEMATEL and ERPN models (compared to PFMEA) proved their validity when the use of PFMEA was limited. By using DEMATEL, we registered the lowest number of defective products and the lowest costs

    A Cause and Effect of a Nonpayment Model Based on the DEMATEL Algorithm

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    Payment is regarded to be the construction industry’s lifeblood. Late and nonpayment concerns have plagued the construction industry. Previous research has only looked at the cause and effect of payment problems in the construction industry, not the link between the variables. The purpose of this study is to look at the causes and repercussions of nonpayment, as well as their interactions. The study’s list of causes and consequences was compiled from a literature review, and nine were retrieved. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique was used to create a causal relationship between the causes and effects of nonpayment so they may be understood and intervened in. Paymaster’s inadequate financial management (C1), local culture and attitude (C2), document error (C6), contractual provision (C8), and disagreement on the valuation of work done (C9) are the major cause factors, according to the data collected from 13 respondents. The key repercussions, on the other hand, include cash flow problem (E2), bankruptcy and liquidation (E4), project abandonment (E5), delay (E7), and disputes (E8). The conclusions of this study can assist major players in the construction sector, as well as the government, in establishing a strategy to effectively address the nonpayment problem in the industr

    Understanding the Causes of Design Errors in Construction Projects: A DEMATEL-Based Framework

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    The design phase plays a crucial role in project development by providing a structured plan that transforms a vision into a tangible entity. Consequently, any errors detected during the design phase can have a profound impact on the overall project performance. Numerous researchers have identified design errors as one of the most critical factors contributing to disputes and project failure. However, they failed to investigate the direct factors, indirect factors, and interdependencies among the factors associated with construction design errors. Therefore, the objective of this study is to investigate the interrelationships among the causes of design errors. Nine causes of design errors were extracted and synthesized from the literature. Subsequently, 15 experts were interviewed, and the data collected was analyzed using the decision-making trial and evaluation laboratory (DEMATEL) algorithm. The critical factors and their relationships were then presented in an impact-relation map diagram. The findings confirm that the top three important causes of design errors are inadequate design experts (C1), lack of skills and experience (C2), and poor communication in a design team (C4). This study suggests that adoption of building information modeling (BIM), trainings, and design review may address these issues. The conclusions of this study can assist major players in the construction sector, as well as the government sector in establishing intervening strategies to mitigate errors and improve the quality of design

    Assessment of Selected Equipment by Method FTA

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    The aim of my research was to qualitatively and quantitatively evaluate the potential risks on Extruder, detect the probability of occurrence and therefore take reformation measures for their elimination or minimization. Throughout the research, we focused on the process compounding and recycling of plastic waste, production stage of secondary processing with plastic waste. We have reviewed the extruder machine. First, we qualitative consider the device by constructing fault tree. First, we consider qualitative data of the device with constructing fault tree, Subsequently, we use quantitative analysis and we specify the probability of a negative phenomenon. The result is more accurate and objective determination of probability and risk itself. The result is more accurate and more objective determination of probability and the actual risk

    Monitoring the Capability of Production Equipment in Organization

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    This work is focused on determining the capability of production equipment in Volkswagen Slovakia, a.s. during the moulding of a car door. There were taken 150 samples from the moulding process that followed each other. Values were recorded on a Wenzel RAplus 1625 measuring machine. Subsequently, process stability was verified. It showed that measured values had a stable average value, and the process did not show irregularities in the diagrams of the X card and s card. After verification of stability, the values of Cm and Cmk were calculated, which exceeded the minimum requirement of 1.66 and 1.67, and the requirements for the capability of production equipment have thereby been met

    Using the dematel model for the FMEA risk analysis

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    Technological progress has brought a large amount of complex machinery into the work processes, which represents a potential source of serious injuries, accidents, or breakdowns. The aim of this paper is to follow new trends in the FMEA and their use in our study. We have chosen the Turning Machine Doosan V-Puma Doosan PUMA V550R Machining Centre with manufacturing diameters and mechanical machining operations. We have created the FMEA team, which participated in the entire evaluation and analysis. We identified possible failures and causes of failures in the given operations. We applied the conventional PFMEA and identified the RPN risk number. We also used DEMATEL model. Using DEMATEL matrices, we identified a binding between the individual failures and the causes of the failures. Some failures will become the main cause of other failures and the causes of the failures; some arise as a result of other failures or causes of failures. Finally, we evaluated the applicability of individual methods and models. By the DEMATEL model we clarified the significance and bindings between individual failures

    Influence of Roughness on Quality Molybdenum Deposit Layer by Thermal Spraying

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    In this paper we deal with the impact of roughness on the quality of molybdenum layer. Insufficient cleaning may result in a poor quality of the sprayed layer. Our aim is to analyze the influence of surface roughness on the quality of molybdenum layer thickness applied by thermal spraying. Thermal spraying influence several physical and chemical properties of the coating surface. The most important ones include: hardness, density, porosity, corrosion resistance and adhesion. This technology of surface treatment of material is often used for its high degree of hardness. Hardness and erosion resistance are the parameters that need to be achieved particularly in working conditions where there is excessive depreciation of a component

    Risk Analysis at Work in Manufacturing Organization

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    Risk is virtually present everywhere around us. Nowadays, there is an increasing focus on safety at work; therefore, the organizations that want to be successful in the market try to eliminate risk factors to a minimum to avoid or prevent the health hazard of employees, damages to property or the environment. The work is focused on the risk assessment of a selected device, which is the most risky workplace according to the organization where the research was conducted. In the practical part, we became familiar with the equipment for welding and a thorough analysis of the current state of safety by a complex method was done. Consequently, corrective actions to reduce risk to an acceptable level were proposed. After that, we reassessed the risks of complex method, and the point method was used to verify the effectiveness of proposed remedial measures
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