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Ghodrati, B., Hoseinie, H. & Kumar, U. (2018). Context-driven mean residual life estimation of mining machinery. International Journal of Surface Mining, Reclamation and Environment, 486-494
Open this publication in new window or tab >>Context-driven mean residual life estimation of mining machinery
2018 (English)In: International Journal of Surface Mining, Reclamation and Environment, ISSN 1389-5265, p. 486-494Article in journal (Refereed) Published
Abstract [en]

Maintenance is crucial to ensure production/output and customer satisfaction in the mining sector. The cost of maintenance of mechanised and automated mining systems is very high, necessitating efforts to enhance the effectiveness of maintenance systems and organisation. For effective maintenance planning, it is important to have a good understanding of the reliability and availability characteristics of the systems. Determining the Mean Residual Life (MRL) of systems allows organisations to more effectively plan maintenance tasks. In this paper, we use a statistical approach to estimate MRL and consider a Weibull proportional hazard model (PHM) with time-independent covariates to model the hazard function so that the operating environment could be integrated into the reliability analysis. The paper explains our methods for calculating the conditional reliability function and computing the MRL as a function of the current conditions. The model is verified and validated using data from the hydraulic system of LHD equipment in a Swedish mine. The results are useful to estimate the remaining useful life of such systems; the method can be used for maintenance planning, helping to control unplanned stoppages of highly mechanised and automated systems.

Place, publisher, year, edition, pages
Taylor & Francis, 2018
Keywords
Mean Residual Life (MRL), proportional hazard model, conditional reliability, Weibull, LHD machine
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-63100 (URN)10.1080/17480930.2017.1308067 (DOI)000445077100002 ()2-s2.0-85017207823 (Scopus ID)
Note

Validerad; 2018;Nivå 2;2018-10-10 (svasva)

Available from: 2017-04-21 Created: 2017-04-21 Last updated: 2018-12-05Bibliographically approved
Ghodrati, B., Rahimdel, M. J. & Taghizadeh Vahed, A. (2018). Fuzzy Risk Prioritization of the Failure Modes in Rolling Stocks. In: Kay Chen TAN, Roger JIAO, Surendra M GUPTA, Kongkiti PHUSAVAT and Min XIE (Ed.), : . Paper presented at IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2018), Bangkok, Thailand, 16-19 Dec 2018 (pp. 108-112). Piscataway, NJ: IEEE
Open this publication in new window or tab >>Fuzzy Risk Prioritization of the Failure Modes in Rolling Stocks
2018 (English)In: / [ed] Kay Chen TAN, Roger JIAO, Surendra M GUPTA, Kongkiti PHUSAVAT and Min XIE, Piscataway, NJ: IEEE, 2018, p. 108-112Conference paper, Published paper (Refereed)
Abstract [en]

Failure Mode and Effects Analysis (FMEA) is extensively used to identify and eliminate the potential failures in products, processes, designs, and services. In this approach, the detectability, occurrence and the severity of each identified failure mode need to be determined usually by a FMEA team. This paper aims to prioritize the failure modes of rolling stocks by integrating Analytical Hierarchy Process (AHP) and Risk Priority Number (RPN). To reduce the uncertainties and ambiguities, all calculations are done in the fuzzy environment instead of the crisp values. The importance degree of each failure mode is determined and then the overall fuzzy RPN is calculated. In this way, the critical failure modes are defined to make an efficient maintenance decision.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018
Keywords
Wheels, Linguistics, Tires, Maintenance engineering, Uncertainty, Fuzzy sets, Rail transportation
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-71633 (URN)10.1109/IEEM.2018.8607666 (DOI)000458674600023 ()
Conference
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2018), Bangkok, Thailand, 16-19 Dec 2018
Available from: 2018-11-19 Created: 2018-11-19 Last updated: 2019-03-08Bibliographically approved
Qarahasanlou, A. N., Khalokakaie, R., Ataei, M. & Ghodrati, B. (2017). Operating Environment-Based Availability Importance Measures for Mining Equipment: (Case Study: Sungun Copper Mine). Journal of Failure Analysis and Prevention, 17(1), 56-67
Open this publication in new window or tab >>Operating Environment-Based Availability Importance Measures for Mining Equipment: (Case Study: Sungun Copper Mine)
2017 (English)In: Journal of Failure Analysis and Prevention, ISSN 1547-7029, E-ISSN 1864-1245, Vol. 17, no 1, p. 56-67Article in journal (Refereed) Published
Abstract [en]

When a system’s performance is inadequate, the concept of availability importance can be used to improve it. The availability of an item depends on the combined aspects of its reliability and maintainability. In a system consisting of many subsystems, the availability of some subsystems is more important to system performance than others. The availability measure determines the priority of availability across subsystems. Most researchers only consider operation time and ignore the influence of the operating environment; therefore, their estimations are not accurate enough. In contrast to previous research, we focus on the influence of the operating environment on the system/subsystem’s characteristics with a view to prioritizing them based on the importance of availability. The paper considers part of the mining fleet system of Sungun copper mine, including the wagon drill, loader, bulldozer, and dump truck subsystems. We identify an ordered list of possibilities for availability improvement and suggest changes or remedial actions for each item to either reduce its failure rate or reduce the time required to repair it.

Place, publisher, year, edition, pages
Springer, 2017
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-60725 (URN)10.1007/s11668-016-0205-z (DOI)000393591700008 ()2-s2.0-84996504328 (Scopus ID)
Note

Validerad; 2017; Nivå 2; 2017-01-23 (rokbeg)

Available from: 2016-11-28 Created: 2016-11-28 Last updated: 2018-11-15Bibliographically approved
Ghodrati, B., Kumar, U. & Schunnesson, H. (Eds.). (2017). Proceeding of the 26th International Symposium on Mine Planning and Equipment Selection: MPES 2017. Paper presented at 26th International Symposium on Mine Planning and Equipment Selection, Luleå, Sweden,August 29-31, 2017. Luleå University of Technology
Open this publication in new window or tab >>Proceeding of the 26th International Symposium on Mine Planning and Equipment Selection: MPES 2017
2017 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
Luleå University of Technology, 2017. p. 570
Series
MPES 2017
Keywords
Mining, Reliability, Maintenance, Machinery, Environment
National Category
Engineering and Technology Environmental Engineering Mineral and Mine Engineering Reliability and Maintenance
Research subject
Mining and Rock Engineering; Operation and Maintenance; Waste Science and Technology
Identifiers
urn:nbn:se:ltu:diva-65007 (URN)978-91-7583-935-6 (ISBN)978-91-7583-936-3 (ISBN)
Conference
26th International Symposium on Mine Planning and Equipment Selection, Luleå, Sweden,August 29-31, 2017
Available from: 2017-08-11 Created: 2017-08-11 Last updated: 2018-05-31Bibliographically approved
Lanke, A. & Ghodrati, B. (2016). Comparison of Mine Production Index Factors for Rock Bolter and Shovel (ed.). In: (Ed.), Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde (Ed.), Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective. Paper presented at International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015 (pp. 645-656). : Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Comparison of Mine Production Index Factors for Rock Bolter and Shovel
2016 (English)In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 645-656Conference paper, Published paper (Refereed)
Abstract [en]

MPi uses availability, utilisation and performance to compare and evaluate equipment. These measures apply to all equipment in mining. However equipment use in mining operations could lead to different evaluation of its availability, utilisation and production performance. MPi evaluation and comparison of equipment on MPi basis thus becomes difficult. Shovel and rock bolters are equipment used in open pit and underground mining respectively. Rock bolters are used to place bolts in mining room. Bolts reinforce rock masses through restraining the deformation within the rock masses. In open pit mining shovels are used for loading broken rock in truck for hauling. MPi can be used as scale for comparison of these equipment. However the operational difference between two equipment leads to different evaluation of MPi. Using hypothetical case study difference between availability, utilisation and performance of the rock bolters and shovel is studied. It was found that these parameters must be measured differently for rock bolters than shovel. Rock bolters availability and utilisation should be given less weights consideration as compared to other equipment in continuous mining operation. Its performance measurement it dependent upon bolts installed and capacity of bolts installation rather than tonnage of ore produced. This study can be helpful for evaluating MPi for equipment which are non-continuously used and lacks output in terms of ore tonnage..

Place, publisher, year, edition, pages
Encyclopedia of Global Archaeology/Springer Verlag, 2016
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-30739 (URN)10.1007/978-3-319-23597-4_47 (DOI)4a6f3cd7-5ee7-4d0d-8135-83f3369f3b3d (Local ID)978-3-319-23596-7 (ISBN)978-3-319-23597-4 (ISBN)4a6f3cd7-5ee7-4d0d-8135-83f3369f3b3d (Archive number)4a6f3cd7-5ee7-4d0d-8135-83f3369f3b3d (OAI)
Conference
International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015
Note
Godkänd; 2016; Bibliografisk uppgift: Containing selected papers from the ICRESH-ARMS 2015 conference in Lulea, Sweden, collected by editors with years of experiences in Reliability and maintenance modeling, risk assessment, and asset management, this work maximizes reader insights into the current trends in Reliability, Availability, Maintainability and Safety (RAMS) and Risk Management. Featuring a comprehensive analysis of the significance of the role of RAMS and Risk Management in the decision making process during the various phases of design, operation, maintenance, asset management and productivity in Industrial domains, these proceedings discuss key issues and challenges in the operation, maintenance and risk management of complex engineering systems and will serve as a valuable resource for those in the field. ; 20151223 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Ghodrati, B., Hoseinie, H. & Kumar, U. (2016). Lean mining. In: Torbjørn H Netland; Daryl J Powell (Ed.), The Routledge companion to lean management: (pp. 302-310). New York: Routledge
Open this publication in new window or tab >>Lean mining
2016 (English)In: The Routledge companion to lean management / [ed] Torbjørn H Netland; Daryl J Powell, New York: Routledge, 2016, p. 302-310Chapter in book (Refereed)
Place, publisher, year, edition, pages
New York: Routledge, 2016
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-64810 (URN)10.4324/9781315686899 (DOI)2-s2.0-85021058997 (Scopus ID)9781317416517 (ISBN)9781138920590 (ISBN)
Available from: 2017-07-06 Created: 2017-07-06 Last updated: 2017-11-24Bibliographically approved
Lanke, A., Hoseinie, H. & Ghodrati, B. (2016). Mine production index (MPI)-extension of OEE for bottleneck detection in mining (ed.). International Journal of Mining Science and Technology, 26(5), 753-760
Open this publication in new window or tab >>Mine production index (MPI)-extension of OEE for bottleneck detection in mining
2016 (English)In: International Journal of Mining Science and Technology, ISSN 2095-2686, Vol. 26, no 5, p. 753-760Article in journal (Refereed) Published
Abstract [en]

Although mining production depends on various equipments, significant amount of production loss can be attributed a specific equipment or fleet. Bottleneck is defined not only by production loss but also by our satisfaction from the equipment. The user satisfaction could be measured as machine effectiveness. Mining literature on performance improvement and optimization of equipment operations assert importance of availability, utilization and production performance as key parameters. These three parameters are useful for evaluating effectiveness of equipment. Mine production index (MPI), which can represent the effect of these factors, has been applied for continuous operation in mining. MPI uses Fuzzy Delphi Analytical Hierarchy Process to determine importance of each three parameter for individual equipment. A case study in a Swedish open pit mine was done to evaluate the field application of MPI. The results reveal that crusher is the bottleneck equipment in studied mine. As a methodical approach, an algorithm which uses MPI and detects bottleneck in continuous mining operation has been proposed.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-14320 (URN)10.1016/j.ijmst.2016.05.050 (DOI)000383712400002 ()2-s2.0-85006335485 (Scopus ID)dac441fb-01e7-4abb-8794-deb04c2d27fc (Local ID)dac441fb-01e7-4abb-8794-deb04c2d27fc (Archive number)dac441fb-01e7-4abb-8794-deb04c2d27fc (OAI)
Note

Validerad; 2016; Nivå 1; 20151130 (hadhos)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Lanke, A., Ghodrati, B. & Lundberg, J. (2016). Production improvement techniques in process industries for adoption in mining: A comparative study (ed.). International Journal of Productivity and Quality Management, 19(3), 366-386
Open this publication in new window or tab >>Production improvement techniques in process industries for adoption in mining: A comparative study
2016 (English)In: International Journal of Productivity and Quality Management, ISSN 1746-6474, E-ISSN 1746-6482, Vol. 19, no 3, p. 366-386Article in journal (Refereed) Published
Abstract [en]

High profitability and customer satisfaction are of supreme importance for any business. To achieve both objectives, an organisation must design a structured approach. To achieve profitability, organisations look to principles of lean manufacturing and techniques such as EFQM, business excellence. This paper reviews such methodologies across different industries, comparing techniques and elements. Its objective is to determine which methodologies are most applicable to the Swedish mining industry and propose a method to achieve lean mining. To this end, the paper looks at the methodologies of a food manufacturing industry, an automobile component manufacturing company, the manufacturing and service sector, and the oil and gas industry. It finds that the method used in the oil and gas industry is more relevant to mining, even though it has some flaws. Further research is needed to adapt this method to the mining industry.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-7778 (URN)10.1504/IJPQM.2016.079781 (DOI)2-s2.0-84992208955 (Scopus ID)632e6575-ed42-46a5-9c34-398928c48da3 (Local ID)632e6575-ed42-46a5-9c34-398928c48da3 (Archive number)632e6575-ed42-46a5-9c34-398928c48da3 (OAI)
Note

Validerad; 2016; Nivå 1; 2016-11-10 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Ghodrati, B., Famurewa, S. M. & Hoseinie, H. (2016). Railway switches and crossings reliability analysis. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management: . Paper presented at IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, 4-7/12 2016 (pp. 1412-1416). , 2016-December, Article ID 7798110.
Open this publication in new window or tab >>Railway switches and crossings reliability analysis
2016 (English)In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management, 2016, Vol. 2016-December, p. 1412-1416, article id 7798110Conference paper, Published paper (Refereed)
Abstract [en]

Switches and crossings (S&Cs) connect the rail network, guiding trains from one track to another and supporting path crossing. They are critical systems given the frequency of their functional failure and the consequences on the operation, cost and safety of railway transportation. Reliability studies are required to support the transport objective of providing dependable, sustainable and cost effective transportation. The main objective of this study is to assess the reliability characteristics of S&Cs based on field data collection. As field failure data have censored nature, commercial packages have not been satisfactory for processing them; therefore, the study uses a special statistical software package RDAT® (Reliability Data Analysis Tool). The availability of the studied switches and crossings is estimated based on the estimated reliability characteristics. The results show the availability of the S&Cs varies between x and y. This is useful information, as it helps the contractor plan and schedule maintenance. It also helps the asset owner to identify units whose performance is below the desired target and to make replacement decisions.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-62810 (URN)10.1109/IEEM.2016.7798110 (DOI)000392208100287 ()2-s2.0-85009868507 (Scopus ID)978-1-5090-3665-3 (ISBN)
Conference
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, 4-7/12 2016
Available from: 2017-03-30 Created: 2017-03-30 Last updated: 2018-06-25Bibliographically approved
Rahimdel, M. J., Hoseinie, H. & Ghodrati, B. (2016). Ram analysis of rotary drilling machine. Mining Science, 23, 77-89
Open this publication in new window or tab >>Ram analysis of rotary drilling machine
2016 (English)In: Mining Science, ISSN 2300-9586, Vol. 23, p. 77-89Article in journal (Refereed) Published
Abstract [en]

Rotary drilling machines are the most common machines used for drilling the blast holes in mining and constructions activities. The vital role of drilling operation in mining activities reveals that, the performance analysis of drilling machines and their failure and repair behaviors are essential. There-fore, the present study focuses on the reliability, availability and maintainability (RAM) of drilling ma-chines. In this paper, four rotary drilling machines at Sarcheshmeh Copper Mine in Iran are considered for repair and failure data collection. RAM analysis of drilling machines is done using Markov Approach. Results show that the reliability of drilling fleet is decreased by 0.67% in per hour drilling. The hydraulic system is the main unavailability reason of all machines. Moreover, the most failures of the two newest machines are completely repaired in 25 hours

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-61136 (URN)10.5277/msc162307 (DOI)2-s2.0-84996503837 (Scopus ID)
Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2017-11-24Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1377-8180

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