This page has only limited features, please log in for full access.

Unclaimed
Behzad Ghodrati
Division of Operation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, Sweden

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 31 May 2021 in Sustainability
Reads 0
Downloads 0

Railway transportation systems are generally used to transport minerals from large-scale mines. Any failure in the railcar components may cause delays or even catastrophic derailment accidents. Failure mode and effect analysis (FMEA) is an effective tool for the risk assessment of mechanical systems. This method is an appropriate approach to identify the critical failure modes and provide proper control measures to reduce the level of risk. This research aims to propose an approach to identify and prioritize the failure modes based on their importance degree. To achieve this, the analytical hierarchy process (AHP) is used along with the FMEA. To compensate for the scarcities of the conventional FMEA in using the linguistic variables, the proposed approach is developed under the fuzzy environment. The proposed approach was applied in a case study, a rolling stock operated in an iron ore mine located in Sweden. The results of this study are helpful to identify not only the most important failure modes but also the most serious and critical ones.

ACS Style

Mohammad Rahimdel; Behzad Ghodrati. Risk Prioritization for Failure Modes in Mining Railcars. Sustainability 2021, 13, 6195 .

AMA Style

Mohammad Rahimdel, Behzad Ghodrati. Risk Prioritization for Failure Modes in Mining Railcars. Sustainability. 2021; 13 (11):6195.

Chicago/Turabian Style

Mohammad Rahimdel; Behzad Ghodrati. 2021. "Risk Prioritization for Failure Modes in Mining Railcars." Sustainability 13, no. 11: 6195.

Conference paper
Published: 01 January 2019 in Proceedings of the 29th European Safety and Reliability Conference (ESREL)
Reads 0
Downloads 0
ACS Style

Amir Taghizadeh Vahed; Behzad Ghodrati; Nuray Demirel; Morteza Hosseini Yazdi. Predictive Maintenance of Mining Machinery Using Machine Learning Approaches. Proceedings of the 29th European Safety and Reliability Conference (ESREL) 2019, 1 .

AMA Style

Amir Taghizadeh Vahed, Behzad Ghodrati, Nuray Demirel, Morteza Hosseini Yazdi. Predictive Maintenance of Mining Machinery Using Machine Learning Approaches. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 2019; ():1.

Chicago/Turabian Style

Amir Taghizadeh Vahed; Behzad Ghodrati; Nuray Demirel; Morteza Hosseini Yazdi. 2019. "Predictive Maintenance of Mining Machinery Using Machine Learning Approaches." Proceedings of the 29th European Safety and Reliability Conference (ESREL) , no. : 1.

Conference paper
Published: 01 January 2019 in Proceedings of the 29th European Safety and Reliability Conference (ESREL)
Reads 0
Downloads 0
ACS Style

Morteza Hosseini Yazdi; Mehdi Behzad; Behzad Ghodrati; Amir Taghizadeh Vahed. Experimental Study of Rolling Element Bearing Failure Pattern Based on Vibration Growth Process. Proceedings of the 29th European Safety and Reliability Conference (ESREL) 2019, 1 .

AMA Style

Morteza Hosseini Yazdi, Mehdi Behzad, Behzad Ghodrati, Amir Taghizadeh Vahed. Experimental Study of Rolling Element Bearing Failure Pattern Based on Vibration Growth Process. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 2019; ():1.

Chicago/Turabian Style

Morteza Hosseini Yazdi; Mehdi Behzad; Behzad Ghodrati; Amir Taghizadeh Vahed. 2019. "Experimental Study of Rolling Element Bearing Failure Pattern Based on Vibration Growth Process." Proceedings of the 29th European Safety and Reliability Conference (ESREL) , no. : 1.

Journal article
Published: 10 April 2018 in Data
Reads 0
Downloads 0

Collecting the failure data and reliability analysis in an underground mining operation is challenging due to the harsh environment and high level of production pressure. Therefore, achieving an accurate, fast, and applicable analysis in a fleet of underground equipment is usually difficult and time consuming. This paper aims to discuss the main reliability analysis challenges in mining machinery by comparing three main approaches: two analytical methods (white-box and black-box modeling), and a simulation approach. For this purpose, the maintenance data from a fleet of face drilling rigs in a Swedish underground metal mine were extracted by the MAXIMO system over a period of two years and were applied for analysis. The investigations reveal that the performance of these approaches in ranking and the reliability of the studies of the machines is different. However, all mentioned methods provide similar outputs but, in general, the simulation estimates the reliability of the studied machines at a higher level. The simulation and white-box method sometimes provide exactly the same results, which are caused by their similar structure of analysis. On average, 9% of the data are missed in the white-box analysis due to a lack of sufficient data in some of the subsystems of the studies’ rigs.

ACS Style

Seyed Hadi Hoseinie; Hussan Al-Chalabi; Behzad Ghodrati. Comparison between Simulation and Analytical Methods in Reliability Data Analysis: A Case Study on Face Drilling Rigs. Data 2018, 3, 12 .

AMA Style

Seyed Hadi Hoseinie, Hussan Al-Chalabi, Behzad Ghodrati. Comparison between Simulation and Analytical Methods in Reliability Data Analysis: A Case Study on Face Drilling Rigs. Data. 2018; 3 (2):12.

Chicago/Turabian Style

Seyed Hadi Hoseinie; Hussan Al-Chalabi; Behzad Ghodrati. 2018. "Comparison between Simulation and Analytical Methods in Reliability Data Analysis: A Case Study on Face Drilling Rigs." Data 3, no. 2: 12.

Original articles
Published: 27 March 2017 in International Journal of Mining, Reclamation and Environment
Reads 0
Downloads 0

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.

ACS Style

Behzad Ghodrati; Seyed Hadi Hoseinie; Uday Kumar. Context-driven mean residual life estimation of mining machinery. International Journal of Mining, Reclamation and Environment 2017, 32, 486 -494.

AMA Style

Behzad Ghodrati, Seyed Hadi Hoseinie, Uday Kumar. Context-driven mean residual life estimation of mining machinery. International Journal of Mining, Reclamation and Environment. 2017; 32 (7):486-494.

Chicago/Turabian Style

Behzad Ghodrati; Seyed Hadi Hoseinie; Uday Kumar. 2017. "Context-driven mean residual life estimation of mining machinery." International Journal of Mining, Reclamation and Environment 32, no. 7: 486-494.

Journal article
Published: 01 September 2016 in International Journal of Mining Science and Technology
Reads 0
Downloads 0

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 literatures 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.

ACS Style

Amol Arun Lanke; Seyed Hadi Hoseinie; Behzad Ghodrati. Mine production index (MPI)-extension of OEE for bottleneck detection in mining. International Journal of Mining Science and Technology 2016, 26, 753 -760.

AMA Style

Amol Arun Lanke, Seyed Hadi Hoseinie, Behzad Ghodrati. Mine production index (MPI)-extension of OEE for bottleneck detection in mining. International Journal of Mining Science and Technology. 2016; 26 (5):753-760.

Chicago/Turabian Style

Amol Arun Lanke; Seyed Hadi Hoseinie; Behzad Ghodrati. 2016. "Mine production index (MPI)-extension of OEE for bottleneck detection in mining." International Journal of Mining Science and Technology 26, no. 5: 753-760.

Journal article
Published: 01 January 2016 in International Journal of Productivity and Quality Management
Reads 0
Downloads 0

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, and 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.

ACS Style

Amol Lanke; Behzad Ghodrati; Jan Lundberg. Production improvement techniques in process industries for adoption in mining: a comparative study. International Journal of Productivity and Quality Management 2016, 19, 366 .

AMA Style

Amol Lanke, Behzad Ghodrati, Jan Lundberg. Production improvement techniques in process industries for adoption in mining: a comparative study. International Journal of Productivity and Quality Management. 2016; 19 (3):366.

Chicago/Turabian Style

Amol Lanke; Behzad Ghodrati; Jan Lundberg. 2016. "Production improvement techniques in process industries for adoption in mining: a comparative study." International Journal of Productivity and Quality Management 19, no. 3: 366.

Journal article
Published: 01 January 2016 in International Journal of Productivity and Quality Management
Reads 0
Downloads 0

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, and 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.

ACS Style

Amol Lanke; Behzad Ghodrati; Jan Lundberg. Production improvement techniques in process industries for adoption in mining: a comparative study. International Journal of Productivity and Quality Management 2016, 19, 366 .

AMA Style

Amol Lanke, Behzad Ghodrati, Jan Lundberg. Production improvement techniques in process industries for adoption in mining: a comparative study. International Journal of Productivity and Quality Management. 2016; 19 (3):366.

Chicago/Turabian Style

Amol Lanke; Behzad Ghodrati; Jan Lundberg. 2016. "Production improvement techniques in process industries for adoption in mining: a comparative study." International Journal of Productivity and Quality Management 19, no. 3: 366.

Book chapter
Published: 15 December 2015 in Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020)
Reads 0
Downloads 0

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.

ACS Style

Amol Lanke; Behzad Ghodrati. Comparison of Mine Production Index Factors for Rock Bolter and Shovel. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2015, 645 -656.

AMA Style

Amol Lanke, Behzad Ghodrati. Comparison of Mine Production Index Factors for Rock Bolter and Shovel. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2015; ():645-656.

Chicago/Turabian Style

Amol Lanke; Behzad Ghodrati. 2015. "Comparison of Mine Production Index Factors for Rock Bolter and Shovel." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 645-656.

Conference paper
Published: 11 December 2015 in Third International Conference on Advances in Mechanical and Automation Engineering - MAE 2015
Reads 0
Downloads 0
ACS Style

Seyed Hadi Hoseinie; Behzad Ghodrati; Diego Galar. Smart Maintenance Solutions for Automated Mining Machinery. Third International Conference on Advances in Mechanical and Automation Engineering - MAE 2015 2015, 58 -62.

AMA Style

Seyed Hadi Hoseinie, Behzad Ghodrati, Diego Galar. Smart Maintenance Solutions for Automated Mining Machinery. Third International Conference on Advances in Mechanical and Automation Engineering - MAE 2015. 2015; ():58-62.

Chicago/Turabian Style

Seyed Hadi Hoseinie; Behzad Ghodrati; Diego Galar. 2015. "Smart Maintenance Solutions for Automated Mining Machinery." Third International Conference on Advances in Mechanical and Automation Engineering - MAE 2015 , no. : 58-62.

Journal article
Published: 01 January 2015 in IFAC-PapersOnLine
Reads 0
Downloads 0

Water spray system is one of the most important parts of rock cutting machines, especially the drum shearer. Field data shows that the maintenance of this system is time-consuming and causes major downtimes in the coal mines’ production process. Therefore, it is essential to find an optimum preventive maintenance task and intervals, to reduce the downtime and minimize the associated costs of the machine. In this paper, in order to suggest an optimum preventive maintenance plan, a parametric failure and reliability analysis was done on available data from an Iranian longwall coal mine over the two years. A reliability-based cost modelling was implemented to identify the optimum maintenance interval and frequencies of restoration for the water spray system. In the study, a cost rate function was introduced in which an as-good-as-new effectiveness for restoration actions is considered. The results of the analysis showed that the minimum maintenance cost per unit of time for the studied machine, $19.54/hour, will be achieved within a range of intervals i.e. T=136 hours to T=142 hours.

ACS Style

S.H. Hoseinie; B. Ghodrati; D. Galar; E. Juuso. Optimal Preventive Maintenance Planning for Water Spray System of Drum Shearer. IFAC-PapersOnLine 2015, 48, 166 -170.

AMA Style

S.H. Hoseinie, B. Ghodrati, D. Galar, E. Juuso. Optimal Preventive Maintenance Planning for Water Spray System of Drum Shearer. IFAC-PapersOnLine. 2015; 48 (17):166-170.

Chicago/Turabian Style

S.H. Hoseinie; B. Ghodrati; D. Galar; E. Juuso. 2015. "Optimal Preventive Maintenance Planning for Water Spray System of Drum Shearer." IFAC-PapersOnLine 48, no. 17: 166-170.

Original articles
Published: 30 August 2014 in International Journal of Mining, Reclamation and Environment
Reads 0
Downloads 0

Cutting arms are the main productive units of coal shearer machine that contact directly with coal seam. More importantly, the cutting arms operate under a high-stressed environment. In this paper, in order to suggest an optimum maintenance plan for the subsystem of shearer machine, firstly, we conducted a failure and reliability analysis using the data acquired from the Parvade coal mine, Iran over the two years. The analysis shows that the Power Law Process model provides a good fit to the failure data. Also, we applied estimated distribution functions and calculated cost parameters to identify the cost-based optimum preventive maintenance interval. Furthermore, we conducted a sensitivity analysis of the studied machine and identified that if we consider the variation of the world price of the raw coal then the maintenance plan is sensitive to the price. The analysis showed that, big changes in world price of raw coal are not so effective on maintenance plan but have a considerable effect on maintenance costs of the cutting arms of the shearer machine. However, the effects of this change on reliability improvement are almost zero.

ACS Style

Seyed Hadi Hoseinie; Behzad Ghodrati; Uday Kumar. Cost-effective maintenance scheduling of cutting arms of drum shearer machine. International Journal of Mining, Reclamation and Environment 2014, 28, 297 -310.

AMA Style

Seyed Hadi Hoseinie, Behzad Ghodrati, Uday Kumar. Cost-effective maintenance scheduling of cutting arms of drum shearer machine. International Journal of Mining, Reclamation and Environment. 2014; 28 (5):297-310.

Chicago/Turabian Style

Seyed Hadi Hoseinie; Behzad Ghodrati; Uday Kumar. 2014. "Cost-effective maintenance scheduling of cutting arms of drum shearer machine." International Journal of Mining, Reclamation and Environment 28, no. 5: 297-310.

Journal article
Published: 01 December 2013 in International Journal of Reliability, Quality and Safety Engineering
Reads 0
Downloads 0

The water system of coal shearer machine consists of three main subsystems namely spray jets, water & hoses, and filters which are connected and working in series configuration. In this paper, the Kamat–Riley Monte Carlo simulation method was used for reliability analysis of the considered system. The studied data was collected from an Iranian longwall coal mine for analysis. The MATLAB software was used for simulation and then reliability plot of water system in shearer machine was determined. The results show that the reliability of shearer machine reduces to almost zero in a period of 300 h. Comparison between the results of analytical method and simulated reliability plot presents that for analyzed data set, in high reliability levels (28% ≤), the simulation approach estimates the higher reliability than analytical method. The maximum difference between the results of analytical and simulation methods is 23%. However, in low reliability levels (≤ 28%) there is no remarkable difference between the methods.

ACS Style

Seyed Hadi Hoseinie; Behzad Ghodrati; Uday Kumar. MONTE CARLO RELIABILITY SIMULATION OF WATER SYSTEM OF LONGWALL SHEARER MACHINE. International Journal of Reliability, Quality and Safety Engineering 2013, 20, 1350023 .

AMA Style

Seyed Hadi Hoseinie, Behzad Ghodrati, Uday Kumar. MONTE CARLO RELIABILITY SIMULATION OF WATER SYSTEM OF LONGWALL SHEARER MACHINE. International Journal of Reliability, Quality and Safety Engineering. 2013; 20 (6):1350023.

Chicago/Turabian Style

Seyed Hadi Hoseinie; Behzad Ghodrati; Uday Kumar. 2013. "MONTE CARLO RELIABILITY SIMULATION OF WATER SYSTEM OF LONGWALL SHEARER MACHINE." International Journal of Reliability, Quality and Safety Engineering 20, no. 6: 1350023.

Journal article
Published: 26 June 2013 in International Journal of Reliability, Quality and Safety Engineering
Reads 0
Downloads 0

Industrial operation cost analysis shows that, in general, maintenance represents a significant proportion of the overall operating costs. Therefore, the improvement of maintenance follows the final goal of any company, namely, to maximize profit. This paper studies spare parts availability, an issue of the maintenance process, which is an important way to improve production through increased availability of functional machinery and subsequent minimization of the total production cost. Spare parts estimation based on machine reliability characteristics and operating environment is performed. The study uses an improved statistical-reliability (S-R) approach which incorporates the system/machine operating environment information in systems reliability analysis. For this purpose, two methods of Poisson process and renewal process are introduced and discussed. The renewal process model uses a multiple regression type of analysis based on Cox's proportional hazards modeling (PHM). The parametric approaches with baseline Weibull hazard functions and time-independent covariates are considered, and the influence of operating environment factors on this model is analyzed. The outputs represent a significant difference in the required spare parts estimation when considering or ignoring the influence of the relevant system operating environment. The difference is significant in the sense of spare parts forecasting and inventory management which can enhance the parts and consequently machine availability, leading to economical operation and savings.

ACS Style

Behzad Ghodrati; Alireza Ahmadi; Diego Galar. SPARE PARTS ESTIMATION FOR MACHINE AVAILABILITY IMPROVEMENT ADDRESSING ITS RELIABILITY AND OPERATING ENVIRONMENT — CASE STUDY. International Journal of Reliability, Quality and Safety Engineering 2013, 20, 1340005 .

AMA Style

Behzad Ghodrati, Alireza Ahmadi, Diego Galar. SPARE PARTS ESTIMATION FOR MACHINE AVAILABILITY IMPROVEMENT ADDRESSING ITS RELIABILITY AND OPERATING ENVIRONMENT — CASE STUDY. International Journal of Reliability, Quality and Safety Engineering. 2013; 20 (3):1340005.

Chicago/Turabian Style

Behzad Ghodrati; Alireza Ahmadi; Diego Galar. 2013. "SPARE PARTS ESTIMATION FOR MACHINE AVAILABILITY IMPROVEMENT ADDRESSING ITS RELIABILITY AND OPERATING ENVIRONMENT — CASE STUDY." International Journal of Reliability, Quality and Safety Engineering 20, no. 3: 1340005.

Journal article
Published: 23 March 2012 in Journal of Quality in Maintenance Engineering
Reads 0
Downloads 0

So many people, especially the employees of the Tabas Coal Complex, helped the authors in this research and they could not finish this research without their helpful assistance. The financial support of Hamedan University of Technology (Iran) and CAAM, Lulea University of Technology, Lulea is also acknowledged.

ACS Style

Seyed Hadi Hoseinie; Mohammad Ataei; Reza Khalokakaie; Behzad Ghodrati; Uday Kumar. Reliability analysis of drum shearer machine at mechanized longwall mines. Journal of Quality in Maintenance Engineering 2012, 18, 98 -119.

AMA Style

Seyed Hadi Hoseinie, Mohammad Ataei, Reza Khalokakaie, Behzad Ghodrati, Uday Kumar. Reliability analysis of drum shearer machine at mechanized longwall mines. Journal of Quality in Maintenance Engineering. 2012; 18 (1):98-119.

Chicago/Turabian Style

Seyed Hadi Hoseinie; Mohammad Ataei; Reza Khalokakaie; Behzad Ghodrati; Uday Kumar. 2012. "Reliability analysis of drum shearer machine at mechanized longwall mines." Journal of Quality in Maintenance Engineering 18, no. 1: 98-119.

Conference paper
Published: 01 September 2011 in 2011 IEEE International Conference on Quality and Reliability
Reads 0
Downloads 0

In practice, both maintenance engineers on site and maintenance managers should have a clear idea of how the maintenance plans are being carried out, and they will be improved continuously in the future. In this paper, the House of Maintenance Management (HOMM) is proposed to describe that what should be included in, for maintenance management. With HOMM, a continuous improvement process PDSA (Plan, Do, Study, Act) for maintenance management could be implemented. Focusing on mining industry, the details for mapping HOMM are discussed for the “roof”, “ceiling”, “walls”, “floor”, “doors & windows”, separately. Additionally, how to support decision making with this HOMM map has been demonstrated with a case study.

ACS Style

Jing (Janet) Lin; Behzad Ghodrati; Uday Kumar. House of maintenance management in mining industry. 2011 IEEE International Conference on Quality and Reliability 2011, 46 -51.

AMA Style

Jing (Janet) Lin, Behzad Ghodrati, Uday Kumar. House of maintenance management in mining industry. 2011 IEEE International Conference on Quality and Reliability. 2011; ():46-51.

Chicago/Turabian Style

Jing (Janet) Lin; Behzad Ghodrati; Uday Kumar. 2011. "House of maintenance management in mining industry." 2011 IEEE International Conference on Quality and Reliability , no. : 46-51.

Book chapter
Published: 31 March 2011 in Springer Series in Reliability Engineering
Reads 0
Downloads 0

The required spare parts planning for a system/machine is an integral part of the product support strategy. The number of required spare parts can be effectively estimated on the basis of the product reliability characteristics. The reliability characteristics of an existing machine/system are influenced not only by the operating time, but also by factors such as the environmental parameters (e.g. dust, humidity, temperature, moisture, etc.), which can degrade or improve the reliability. In the product life cycle, for determining the accurate spare parts needs and for minimizing the machine life cycle cost, consideration of these factors are useful. Identification of the effects of operating environment factors (as covariates) on the reliability may facilitate more accurate prediction and calculation of the required spare parts for a system under given operating conditions. The Proportional Hazards Model (PHM) method is used for estimation of the hazard (failure) rate of components under the effect of covariates. The existing method for calculating the number of spare parts on the basis of the reliability characteristics, without consideration of covariates, is studied, modified and improved to arrive at the optimum spare parts requirement. In this chapter, an approach has been developed to forecast and estimate accurately the spare parts requirements considering operating environment and to create rational part ordering strategies. Subsequently, two methods of Poisson process and renewal process are introduced and discussed. The renewal process model uses a multiple regression type of analysis based on Cox’s proportional hazards modeling (PHM). The parametric approaches with baseline Weibull hazard functions and time independent covariates are considered, and the influence of operating environment factors on this model is analyzed. Only non-repairable components (changeable/service parts) which must be replaced upon failure are discussed.

ACS Style

Behzad Ghodrati. Efficient Product Support—Optimum and Realistic Spare Parts Forecasting. Springer Series in Reliability Engineering 2011, 225 -269.

AMA Style

Behzad Ghodrati. Efficient Product Support—Optimum and Realistic Spare Parts Forecasting. Springer Series in Reliability Engineering. 2011; ():225-269.

Chicago/Turabian Style

Behzad Ghodrati. 2011. "Efficient Product Support—Optimum and Realistic Spare Parts Forecasting." Springer Series in Reliability Engineering , no. : 225-269.

Conference paper
Published: 01 December 2010 in 2010 2nd International Conference on Reliability, Safety and Hazard - Risk-Based Technologies and Physics-of-Failure Methods (ICRESH)
Reads 0
Downloads 0

This paper aims to develop a graphical method to facilitate the identification of risk and cost of postponement of restoration for repairable components which are periodically tested and whose failures are hidden, i.e, are detectable by inspection or upon demand. The paper focuses on the items which are under aging, however, the methodology is flexible to implement for any aging pattern. The paper considers Failure Finding Inspection (FFI) with restoration actions (FFI+Res), for the “safety effect” categories of hidden failures. As-bad-as-old (ABAO) inspection effectiveness and as-good-as-new (AGAN) restoration effectiveness are considered. In case of repair due to findings by inspection, as-bad-as-old repair effectiveness is considered. The graphical methodology proposed in this paper considers inspection and repair times, as well as the costs associated with accident, inspection, repair, and restoration, and takes into account the opportunity losses due to the maintenance downtime. The analytical approach is based on the Mean Fractional Dead Time. In the case of an operational limit, when it is not possible to remove the unit for restoration, or one needs to use the unit longer than the expected operating time, the paper introduces an approach to analyzing the possibility of and conditions for providing an extension to the restoration interval that satisfies the risk constraints and the business requirements at the same time.

ACS Style

Alireza Ahmadi; Uday Kumar; Behzad Ghodrati. Risk based maintenance decision for periodically tested repairable components subject to hidden failure. 2010 2nd International Conference on Reliability, Safety and Hazard - Risk-Based Technologies and Physics-of-Failure Methods (ICRESH) 2010, 197 -204.

AMA Style

Alireza Ahmadi, Uday Kumar, Behzad Ghodrati. Risk based maintenance decision for periodically tested repairable components subject to hidden failure. 2010 2nd International Conference on Reliability, Safety and Hazard - Risk-Based Technologies and Physics-of-Failure Methods (ICRESH). 2010; ():197-204.

Chicago/Turabian Style

Alireza Ahmadi; Uday Kumar; Behzad Ghodrati. 2010. "Risk based maintenance decision for periodically tested repairable components subject to hidden failure." 2010 2nd International Conference on Reliability, Safety and Hazard - Risk-Based Technologies and Physics-of-Failure Methods (ICRESH) , no. : 197-204.

Journal article
Published: 01 August 2010 in International Journal of Reliability, Quality and Safety Engineering
Reads 0
Downloads 0

Rail defects appear in a greater variety and frequency due to higher axle loads and increasing traffic density in passenger and freight trains. Many of these rail defects, if left undetected, can develop into rail breaks, which may lead to train derailments. Reduction in the number of such catastrophic events requires huge investments on inspection and maintenance activities. Therefore proper maintenance planning and risk assessment is required to reduce the rail maintenance cost without compromising safety. In this paper, an approach has been developed for risk assessment of rail defects to support the decision-making process during scheduling of rail inspection and grinding frequency, based on the type of defect and its risk of occurring and developing into a rail break. The approach will help in increasing the safety of passengers and rolling stock as well as reducing the overall rail maintenance cost, as it helps in making effective decisions related to inspection frequency (i.e. resource allocation according to the need). The approach is presented with the aid of a case study from the Swedish National Rail Administration (Banverket). Both, quantitative and qualitative analysis technique has been used in this paper to assess the risk of occurrence of a rail defect and its development into a rail break.

ACS Style

Saurabh Kumar; Suprakash Gupta; Behzad Ghodrati; Uday Kumar. AN APPROACH FOR RISK ASSESSMENT OF RAIL DEFECTS. International Journal of Reliability, Quality and Safety Engineering 2010, 17, 291 -311.

AMA Style

Saurabh Kumar, Suprakash Gupta, Behzad Ghodrati, Uday Kumar. AN APPROACH FOR RISK ASSESSMENT OF RAIL DEFECTS. International Journal of Reliability, Quality and Safety Engineering. 2010; 17 (4):291-311.

Chicago/Turabian Style

Saurabh Kumar; Suprakash Gupta; Behzad Ghodrati; Uday Kumar. 2010. "AN APPROACH FOR RISK ASSESSMENT OF RAIL DEFECTS." International Journal of Reliability, Quality and Safety Engineering 17, no. 4: 291-311.

Journal article
Published: 02 October 2007 in Journal of Quality in Maintenance Engineering
Reads 0
Downloads 0

Spare parts estimation and risk assessment conducted at Choghart Iron Ore Mine: A case study

ACS Style

Behzad Ghodrati; Per-Anders Akersten; Uday Kumar. Spare parts estimation and risk assessment conducted at Choghart Iron Ore Mine. Journal of Quality in Maintenance Engineering 2007, 13, 353 -363.

AMA Style

Behzad Ghodrati, Per-Anders Akersten, Uday Kumar. Spare parts estimation and risk assessment conducted at Choghart Iron Ore Mine. Journal of Quality in Maintenance Engineering. 2007; 13 (4):353-363.

Chicago/Turabian Style

Behzad Ghodrati; Per-Anders Akersten; Uday Kumar. 2007. "Spare parts estimation and risk assessment conducted at Choghart Iron Ore Mine." Journal of Quality in Maintenance Engineering 13, no. 4: 353-363.