دانلود رایگان مقاله انگلیسی مدل تحلیل ریسک برای حوادث معدن با استفاده از رویکرد فازی مبتنی بر تحلیل درخت گسل - امرالد 2017

عنوان فارسی
مدل تحلیل ریسک برای حوادث معدن با استفاده از رویکرد فازی مبتنی بر تحلیل درخت گسل
عنوان انگلیسی
A risk analysis model for mining accidents using a fuzzy approach based on fault tree analysis
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
20
سال انتشار
2017
نشریه
امرالد - Emerald
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E9317
رشته های مرتبط با این مقاله
مهندسی معدن، کامپیوتر
گرایش های مرتبط با این مقاله
هوش مصنوعی
مجله
مجله مدیریت اطلاعات سازمانی - Journal of Enterprise Information Management
دانشگاه
Transportation Vocational School - Anadolu Universitesi - Eskisehir - Turkey
کلمات کلیدی
تحلیل ریسک، تحلیل درخت شکست، منطق فازی، معدن کروم
doi یا شناسه دیجیتال
https://doi.org/10.1108/JEIM-02-2017-0035
چکیده

Abstract


Purpose – Risk analysis is a critical investigation field for many sector and organization to maintain the information management reliable. Since the mining is one of the riskiest sectors for both workers and management, comprehensive risk analysis should be carried out. By developing a risk analysis methodology, to explore the undesired events with their main reasons comprehensively that may occur during a particular process and perform risk analysis for these events are aimed in this study. For performing risk analysis, discovering and defining the potential accidents and incident including their root causes are important contributions to the study as distinct from the related literature. The fuzzy approach is used substantially to obtain the important inferences about the hazardous process by identifying the critical risk points in the processes. In the scope of the study, the proposed methodology is applied to an underground chrome mine and obtaining significant findings of mining risky operations is targeted. Design/methodology/approach – Fault tree analysis and fuzzy approach are used for performing the risk analysis. When determining the probability and the consequences of the events which are essential components for the risk analysis, expressions of the heterogeneous expert group are considered by means of the linguistic terms. Fault tree analysis and fuzzy approach present a quiet convenience solution together to specify the possible accidents and incidents in the particular process and determine the values for the basis risk components. Findings – This study primarily presents a methodology for a comprehensive risk analysis. By implementing the proposed methodology to the underground loading and conveying processes of a chrome mine, 28 different undesired events that may occur during the processes are specified. With the performing risk analysis for these events, it is established that the employee’s physical constraint while working with the shovel in the fore area, the falling of materials on employees from the chute and the scaling bar injuries are found out as the riskiest undesired events in the underground loading and conveying process of the mine. Practical implications – The proposed methodology provides a confidential and comprehensive method for risk analysis of the undesired events in a particular process. The capability of fault tree analysis for specifying the undesired events systematically and the applicability of fuzzy approach for converting the experts’ linguistic expressions to the mathematical values, provide a significant advantage and convenience for the risk analysis. Originality/value – The major contribution of this paper is to develop a methodology for the risk analysis of a variety of mining accidents and incidents. The proposed methodology can be applied to many production processes to investigate the dangerous operations comprehensively and find out the efficient management strategies. Before performing the risk analysis, determining the all possible accidents and incidents in the particular process using the fault tree analysis provide the effectiveness and the originality of the study. Also using the fuzzy logic to find out the consequences of the events with experts’ linguistic expressions, provides an efficient method for performing risk analysis.

نتیجه گیری

5. Conclusion and Recommendations


Important technological innovations beginning from the 17th century have pioneered significant developments for the sustainability of mining (Suppen et al., 2006). Stages of use of high technology for mining activities in the world are mechanization, remote steering systems, automation and robotisation respectively (Kızıl et al., 1995). In literature, studies are arguing where mining with the advanced automation technologies come (Boudreau et al., 2014; Bellamy and Pravica, 2011). However, operations of the mining sector in many countries are maintained by small-sized enterprises and by labour-intensive activities. In all mines, there are many hazardous conditions need to be analyzed for preventing and mitigating them. No matter how severe and probable they are, preventing the underground mining accidents and incidents is one of the most important objectives of mine administrators. It is inevitable to urge upon the issues such as necessary audits, accident preventing systems and appropriate technology for the avoidance of occupational accidents and physical injuries in the mining sector (Paul and Maiti, 2007; Maiti et al., 2004). To reduce and prevent the occurrence of the accidents and incidents, reasons of these undesired events have to be understood and mastered fully to provide a reference for further corrective measures (Jiang et al., 2012).


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