{"title":"用矿山生产指数和石川图分析瓶颈——以印度煤矿为例","authors":"Sorokhaıbam Khaba","doi":"10.30797/madencilik.1160266","DOIUrl":null,"url":null,"abstract":"The traditional way of coal production and management is still predominant in the Indian coal mining industry which has led to a widespread waste of resources both materials and humans. Operational loss of the mining machinery and equipment is one of the key factors for the low performance and productivity of mines. This research presents an application of the integrated approach of the Mine Production Index and Ishikawa Diagram in an Indian coal mine to study the bottleneck equipment in the mining operation among the fleet of the shovel, dumper, and dozer. Mine Production Index (MPI) identifies the bottleneck equipment in the mining operation, and Ishikawa Diagram presents the Root Cause Analysis of bottleneck equipment. The fuzzy Analytic Hierarchy Process (FAHP) is used to determine weights for MPI calculation using information gathered from a group of 11 experts through Structured interviews. The study found that the dozer fleet is the bottleneck equipment and the ineffectiveness of the dozer fleet can be grouped into 4 categories as enumerated on the Ishikawa diagram. The study proposes that the ineffectiveness of the dozer fleet can be improved with an increase in its performance rate. The study is based on the judgments of the experts for the case mine, which may limit the external validity. This paper is an original contribution to the analysis of mining equipment using the Mine Production Index and Ishikawa Diagram in an Indian coal mine.","PeriodicalId":37481,"journal":{"name":"Scientific Mining Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Bottleneck using Mine Production Index and Ishikawa Diagram: A case of Indian Coal Mine\",\"authors\":\"Sorokhaıbam Khaba\",\"doi\":\"10.30797/madencilik.1160266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional way of coal production and management is still predominant in the Indian coal mining industry which has led to a widespread waste of resources both materials and humans. Operational loss of the mining machinery and equipment is one of the key factors for the low performance and productivity of mines. This research presents an application of the integrated approach of the Mine Production Index and Ishikawa Diagram in an Indian coal mine to study the bottleneck equipment in the mining operation among the fleet of the shovel, dumper, and dozer. Mine Production Index (MPI) identifies the bottleneck equipment in the mining operation, and Ishikawa Diagram presents the Root Cause Analysis of bottleneck equipment. The fuzzy Analytic Hierarchy Process (FAHP) is used to determine weights for MPI calculation using information gathered from a group of 11 experts through Structured interviews. The study found that the dozer fleet is the bottleneck equipment and the ineffectiveness of the dozer fleet can be grouped into 4 categories as enumerated on the Ishikawa diagram. The study proposes that the ineffectiveness of the dozer fleet can be improved with an increase in its performance rate. The study is based on the judgments of the experts for the case mine, which may limit the external validity. This paper is an original contribution to the analysis of mining equipment using the Mine Production Index and Ishikawa Diagram in an Indian coal mine.\",\"PeriodicalId\":37481,\"journal\":{\"name\":\"Scientific Mining Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Mining Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30797/madencilik.1160266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Mining Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30797/madencilik.1160266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Analysis of Bottleneck using Mine Production Index and Ishikawa Diagram: A case of Indian Coal Mine
The traditional way of coal production and management is still predominant in the Indian coal mining industry which has led to a widespread waste of resources both materials and humans. Operational loss of the mining machinery and equipment is one of the key factors for the low performance and productivity of mines. This research presents an application of the integrated approach of the Mine Production Index and Ishikawa Diagram in an Indian coal mine to study the bottleneck equipment in the mining operation among the fleet of the shovel, dumper, and dozer. Mine Production Index (MPI) identifies the bottleneck equipment in the mining operation, and Ishikawa Diagram presents the Root Cause Analysis of bottleneck equipment. The fuzzy Analytic Hierarchy Process (FAHP) is used to determine weights for MPI calculation using information gathered from a group of 11 experts through Structured interviews. The study found that the dozer fleet is the bottleneck equipment and the ineffectiveness of the dozer fleet can be grouped into 4 categories as enumerated on the Ishikawa diagram. The study proposes that the ineffectiveness of the dozer fleet can be improved with an increase in its performance rate. The study is based on the judgments of the experts for the case mine, which may limit the external validity. This paper is an original contribution to the analysis of mining equipment using the Mine Production Index and Ishikawa Diagram in an Indian coal mine.
期刊介绍:
Scientific Mining Journal, which is published i n open access electronic environment and i n printed, is a periodical scientific journal of Union of Chambers of Turkish Engineers and Architects Chamber of Mining Engineers. The name of the journal was "Mining" until June 2016 and it has been changed to "Scientific Mining Journal" since September 2016 because it can be confused with popular journals with similar names and the ISSN number has been updated from 0024-9416 to 2564-7024. Scientific Mining Journal, published four times a year (March-June-September-December), aims to disseminate original scientific studies which are conducted according to the scientific norms and publication ethics at national and international scale, to scientists, mining engineers, the public; and thus to share scientific knowledge with society. The journal is in both Turkish and English. The journal covers theoretical, experimental, and applied research articles, which reflects the findings and results of an original research i n the field of mining engineering; review articles, which assess, evaluates, and interprets the findings of a comprehensive review of sufficient number of scientific articles and summarize them at present information and technology level; technical notes, which may be defined as a short article that describes a novel methodology o r technique; a case studies, which are based on the theoretical o r real professional practice and involves systematic data collection and analysis.