International Journal of Systems Assurance Engineering and Management, Journal Year: 2024, Volume and Issue: 16(1), P. 38 - 58
Published: Nov. 29, 2024
Language: Английский
Sustainable Production and Consumption, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
3
Decision Analytics Journal, Journal Year: 2024, Volume and Issue: 12, P. 100506 - 100506
Published: Aug. 1, 2024
Minor errors in smart contract coding on the blockchain can lead to significant and irreversible economic losses for transaction parties. Therefore, mitigating risk posed by is crucial, necessitating development of approaches enhance human reliability coding. The Cognitive Reliability Error Analysis Method (CREAM) one such approach, examining how environmental conditions affect error probability (HEP). Within CREAM, Common Performance Conditions (CPCs) influence probability. This study ranks CPCs based their importance using Bayesian Best Worst (BWM). Two methods are developed basic CREAM. In first method, experts specify control mode opinions, experts' determined according level. second an optimization problem formulated select most suitable programs, enhancing reliability. proposed model considers energy, cost, organizational budget factors identify optimal while minimizing risks costs associated with errors. A case electronics supply chain validates applicability efficacy methods. Results from method indicate opportunistic mode. contrast, shows that improving CPC levels has a more effect, shifting towards tactical reducing HEP 0.00249.
Language: Английский
Citations
6
Risk Analysis, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 9, 2024
Abstract Human error constitutes a significant cause of accidents across diverse industries, leading to adverse consequences and heightened disruptions in maintenance operations. Organizations can enhance their decision‐making process by quantifying human errors identifying the underlying influencing factors, thereby mitigating repercussions. Consequently, it becomes crucial examine value probability (HEP) during these activities. The objective this paper is determine simulate HEP tasks at cement factory, utilizing performance shaping factors (PSFs). research employs cross‐impact matrix multiplication applied classification (MICMAC) analysis method evaluate dependencies, impacts, relationships among error. This approach classifies assesses dependencies impacts different on HEP, occupational accidents, related costs. study also underscores that PSFs dynamically change under influence other variables, emphasizing necessity forecast behavior over time. Therefore, utilizes MICMAC analyze interdependencies, relationships, impact levels variables. These are then utilized optimize implementation system dynamics (SD) method. An SD model employed system's behavior, multiple scenarios presented. By considering value, managers adjust organizational conditions personnel ensure acceptability. presents various assist making informed decisions.
Language: Английский
Citations
4
Operations Research Perspectives, Journal Year: 2025, Volume and Issue: unknown, P. 100336 - 100336
Published: April 1, 2025
Language: Английский
Citations
0
Quality and Reliability Engineering International, Journal Year: 2025, Volume and Issue: unknown
Published: April 18, 2025
ABSTRACT Proper preventive maintenance (PM) not only reduces equipment failure costs but also effectively minimizes direct operational expenses. The optimal planning of PM operations plays a crucial role in reducing damage and enhancing organizational efficiency. Human error is decisive factor often overlooked achieving implementation. In this paper, novel mathematical model aimed at minimizing maintenance‐related proposed. This investigates the impact human errors on effective rate aging costs. results obtained from proposed provide valuable insights for decision‐makers, enabling them to implement that are by errors. To validate developed model, real‐world testing conducted, its effectiveness assessed using sensitivity analysis. analysis performed Weibull distribution parameters length each period. research findings indicate error, based associated costs, determined be 0.020. finding encourages decision‐makers reduce probability 0.020 achieve cost savings.
Language: Английский
Citations
0
Human Factors and Ergonomics in Manufacturing & Service Industries, Journal Year: 2024, Volume and Issue: 35(1)
Published: Oct. 16, 2024
Abstract Human error is often implicated in industrial accidents and frequently found to be a symptom of broader issues within the sociotechnical system. Therefore, research exploring human during maintenance activities important. This article aims assess probability tasks at cement factory using Cognitive Reliability Error Analysis Method System Dynamics modeling. Given that (HEP) influenced by various common performance conditions (CPCs) their sub‐factors, changes dynamically response other variables, SD method offers practical approach for estimating predicting behavior over time. study identifies quantifies variables affecting HEP, explores interactions feedback tasks, assesses associated costs. The machine learning technique then used estimate relationship between HEP these optimal value function, 0.000772, determined identifying minimum point cubic thereby minimizing costs occupational accidents. Determining crucial excessive investing improved ergonomics CPCs better performance. addresses significant gap existing where impact on has not been estimated as function. Furthermore, three scenarios are presented help managers allocate organization's budget more effectively.
Language: Английский
Citations
2
Quality and Reliability Engineering International, Journal Year: 2024, Volume and Issue: 40(5), P. 2864 - 2890
Published: April 4, 2024
Abstract This study examines reliability of equipment (RoE) through three approaches: design reliability, human (HR), and maintenance‐based reliability. HR plays a key role in minimizing error (HE) subsequently enhancing RoE. Given that is influenced by numerous factors, these technologies come with various constraints, multiple outputs, inputs. Compared to mathematical programming analytical models, simulation methods the field are relatively limited. However, system dynamics (SD) modeling well‐suited capture complexity systems, making it valuable tool for long‐term strategic decision‐making. In this study, combination SD regression approaches has been employed explore relationship between variables such as HE profit. Initially, influencing identified, then utilized understand processes interactions among variables. Furthermore, linear establish affective variables, HE. To validate results obtained from proposed method, sensitivity analysis conducted. The demonstrate effectiveness model. Simulation indicate implementing policies employee training preventive maintenance significantly enhances RoE, leading increased sales profits organization. Therefore, managers should prioritize allocate adequate attention resources them.
Language: Английский
Citations
1
Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 89 - 114
Published: Nov. 15, 2024
Distance learning has become more popular during the COVID-19 years and micro-credentials (MCs) been accepted widespread as an alternative to traditional degree programs. Higher Education Institutions play a critical role in creation of MCs, taking into account needs learners industry requirements. Hence, it is important understand develop this field due complexity diversity factors that influence structuring MCs distance learning. Moreover, different stakeholders have various influences priorities on design, implementation, adoption MCs. Therefore, chapter aims explore influencing learning, considering multiple stakeholders' perspectives. Using MICMAC method, are categorized influential, key, dependent, autonomous groups, offering comprehensive factor map. The concludes with recommendations for effectively addressing both challenges opportunities enhance their impact integration.
Language: Английский
Citations
1
International Journal of Systems Assurance Engineering and Management, Journal Year: 2024, Volume and Issue: 16(1), P. 38 - 58
Published: Nov. 29, 2024
Language: Английский
Citations
0