Risk Informed Work Selection

2021 ◽  
Author(s):  
Frederic Anthony Corsiglia ◽  
Hani Haidar ◽  
Andrew Duncan Frost

Abstract Asset integrity management is a life cycle concept typically initiated in the conceptual and detailed design phase of projects. Parallel with the development of equipment and system lists, the process of building maintenance job plans starts. Tools, such as criticality assessment, are used to identify the type of engineering deliverable from which the maintenance job plan is built. For a large majority of equipment and systems, original equipment manufacturer (OEM) recommended or fleet inspection, maintenance and testing (IMT) plans are adequate. For a smaller subset, more detailed plans leveraging risk-based inspection (RBI) and reliability-centered maintenance (RCM) concepts are developed building a regime of preventative maintenance focused on data collection in the commissioning and early operation of the facility. For an extremely limited subset of equipment, mostly machinery, but could include pipelines, electrical and product analyzers, the most detailed plans are developed which are highly specific to a particular equipment tag. Criticality assessment is commonly cited as a core process for prioritization of RBI/RCM plan development initially with spare parts inventories and work management later in the life cycle. International standards such as ISO 14224, Petroleum, petrochemical and natural gas industries — Collection and exchange of reliability and maintenance data for equipment, provide a framework for asset hierarchy and taxonomy which will prove to be important during the operating phase of the life cycle where surveillance and corrective maintenance data will be leverage to optimize maintenance job plans. ISO 14224 refers to IEC 60812, Failure modes and effects analysis (FMEA and FMECA), for treatment of Failure Mode Effects and Criticality Assessment (FMECA). To a large extent, ISO 60812 leaves determination of the variables to drive criticality assessment up to the operator saying only that two or more variables should be used. Variables used commonly include consequence of failure, but also maintainability and complexity. Benchmarks for criticality assessment suggest about 10% of equipment merits identification as critical (reference needed). Criticality is important as a foundation to integrity management as work linked to primary function carries an inherited technical characteristic of the equipment and systems. Over time, additional equipment and systems will be added (or removed) from critical equipment lists through continuous improvement processes such as root cause failure analysis (RCFA). With the prioritization of developing maintenance plans through fleet and RBI/RCM processes and their resultant deliverables defined, the detailed plans are identified through collaboration of technical, maintenance and operations staff specialists. Fundamentally, the process involves identification of hazards which can result in impaired primary and secondary functionality, estimation of unmitigated risk, identification of work to mitigate risk, estimation of mitigated risk, calculation of benefit-to-cost and documenting the analysis into the system of record. Consistency in the processes can be assured through application of procedures and references that typically reference a risk matrix. As each hazard is reviewed, there may be multiple failures modes (e.g. hole, crack, rupture) which needs to be considered independently. Consequence assessment is performed for a range of Safety Health Environmental and Security (SHES) scenarios associated with the failure mode. Probability assessment for the scenarios is performed using the available design parameters. The combined consequence and probability form the initial unmitigated risk basis for the scenario. Inspection, maintenance and testing activities are selected by the collaborating specialists with focus of input from technical on probability mitigation, maintenance on cost and operations on benefit. The scenarios is then revisited to document the mitigated risk.

Author(s):  
Xiaobin Le

Abstract Since the main design parameters in a mechanical component design have some uncertainties and should be treated as random variables, the reliability of a component is a better measurement of the safe status of a component. A component will not be reliable unless it is designed with specified reliability. Therefore, the mechanical component design should be a dimension design with the required reliability. The fundamental concept of the Monte Carlo method is to plug-in randomly generated numerical values into the governing equation of a design problem to get a trial result. The Monte Carlo method has become so powerful numerical simulation approach in almost every field such as optimization, numerical integration, and reliability calculation. But for reliability engineering, most of the literature shows how to use the Monte Carlo method to calculate the reliability of a component. This paper will propose the modified Monte Carlo method to determine a component dimension with required reliability. This paper first discusses and establishes typical limit state functions of a component under static loads. These limit state functions cover two failure modes including the failure mode due to strength and the failure mode due to excessive deformation. Then, the procedure and the flowchart of the modified Monte Carlo method will be explained in detail. The provided procedure and the flowchart are easy to be followed for compiling a MATLAB program to conduct a dimension design with required reliability. Two examples will show how to implement the proposed new method for conducting a dimension design with required reliability.


2018 ◽  
Vol 22 (5) ◽  
pp. 1635-1659 ◽  
Author(s):  
Ayumi Omachi ◽  
Kuniharu Ushijima ◽  
Dai-Heng Chen ◽  
Wesley J Cantwell

In this study, the failure behaviour of lattice sandwich panels under three-point loading has been studied using a nonlinear finite element analysis. The failure mechanisms of lattice-cored sandwich panels can be classified in three modes; facesheet yielding, facesheet wrinkling and core shear. When the panel fails due to facesheet yielding or core shear, the evaluation of the strength of the lattice-cored panel can be undertaken in the same manner as that of a foam-cored panel. In contrast, when wrinkle-like deformation occurs in the facesheets, the failure load can be estimated from the buckling stress of the facesheet. The failure mode map for the lattice-cored panel with the coordinate system tf / l and [Formula: see text] can be described by the analytical equations that predict the three failure modes. The failure mode map highlights the dominant failure modes for the lattice-cored sandwich panel based on the key design parameters tf / l and [Formula: see text].


2021 ◽  
Vol 12 (4) ◽  
pp. 31-38
Author(s):  
Debdatta Das ◽  
Krishna Pal ◽  
Sudip Roy ◽  
Moushumi Lodh

Background: Implementing an active system to identify, monitor and manage risk from laboratory errors can enhance patient safety and quality of care. Aims and Objectives: Failure Mode and Effect Analysis (FMEA) technique allows evaluating and measuring the hazards of a process malfunction, to decide where to execute improvement actions, and to measure the outcome of those actions. The aim of this study was to assess pre analytical phase of laboratory testing, mitigate risk and thereby increase patient safety. Materials and Methods: Steps followed in the study were: planning the study, selecting team members, analysis of the processes, risk analysis, and developing a risk reduction protocol by incorporating corrective actions. A Fault Tree Analysis diagram was used to plot the cascade of faults leading to the pre analytical errors. Risk Priority Number (RPN) was assigned. A minimum cut- off 40 RPN was considered for interventions and highest RPN errors were prioritized with corrective actions. Post intervention RPN score was calculated. Results: Eight failure modes had the highest RPN. Corrective actions were prioritized against these errors. RPN scores of test ordering error, sample collection error, transport errors, error in patient identification, site selection, urine samples not received, sample accessioning and sample processing errors decreased, post intervention. Conclusion: With thorough planning, we can use FMEA as a common standard to analyze risk in pre analytical phase of laboratory testing.


2018 ◽  
Vol 2 (2) ◽  
pp. 43
Author(s):  
Isma Masrofah ◽  
Hariswan Firdaus

Abstract—Yarico Collection Trad. Co. is a company engaged in clothing convection for the last 12 years. One of the problems faced by this company is the number of defective products that exceed the defect tolerance limits set by the company. The company sets a defect limit of 1% of the total production, while in the field the number of defects is 3%. This study aims to find out the priorities of the causes of disability and find out how to reduce the number of defects related to women's Muslim clothing that occur in the cutting process of 20 units from 1250 units, the process of sewing or unifying clothes by 22 units out of 1250 units, the process of closing down 19 units out of 1250 unit, and the pressing process is 14 units out of 1250 units. The researcher used the Failure Mode Effects Analysis (FMEA) method to obtain the most dominant failure mode of production process, the calculation of Risk Priority Number (RPN) generated in the pressing process with RPN 504 value, sewing process with RPN 448 value, the process of stitching stitches with RPN value 392, and the cutting process with the RPN value 384. From the results of the study obtained several proposals according to the highest RPN value to reduce the number of product defects, including: for cutting defects by adding lighting and periodic machine maintenance, for sewing defects scheduled and the use of components that are standard, for defects in obras are made machine maintenance scheduling, the use of spare parts that are standardized, and using a strongbranded needle, for defects in the pressing process by doing good engine maintenance and providing training to workers with use temperature machine according to the type of fabric. Keywords ; product defect, quality improvement, FMEA, RPN Abstrak— PD. Yarico Collection merupakan perusahaan yang bergerak dalam bidang konveksi pakaian selama 12 tahun terakhir. Salah satu permasalahan yang dihadapi oleh perusahaan ini yaitu jumlah produk cacat yang melebihi batas tolerasi cacat yang di tetapkan oleh perusahaan. Perusahaan menetapkan batas cacat yaitu 1 % dari jumlah peroduksi sedangkan dilapangan jumlah cacat sebesar 3 %. Penelitian bertujuan untuk mengatehaui prioritas penyebab cacat dan mengetahui bagaimana cara menurunkan jumlah cacat terkait baju muslim wanita yang terjadi pada proses cutting sebesar 20 unit dari 1250 unit, proses penjahitan atau penyatuan baju sebesar 22 unit dari 1250 unit, proses obras sebesar 19 unit dari 1250 unit, dan pada proses pressing sebesar 14 unit dari 1250 unit. Peneliti menggunakan metode Failure Modes Efect Analysis (FMEA) sehingga didapat mode kegagalan paling dominan diproses produksi, hasil perhitungan Risk Priority Number (RPN) yang dihasilkan pada proses pressing dengan nilai RPN 504, proses penjahitan dengan nilai RPN 448, proses obras jahitan dengan nilai RPN 392, dan pada proses cutting dengan nilai RPN 384. Dari hasil penelitian didapat beberapa usulan sesuai nilai RPN tertinggi untuk menurunkan jumlah cacat produk, diantaranya : untuk cacat cutting dengan melakukan penambahan penerangan serta melakukan perawatan mesin secara berkala, untuk cacat penjahitan melakukan perawatan mesin secara terjadwal serta penggunaan komponen yang sesuai standard, untuk cacat pada obras dibuat penjadwalan perawatan mesin, penggunaan spare part yang sesuai standar, dan menggunakan jarum obras yeng berbahan kuat, untuk cacat pada proses pressing dengan melakukan perawatan mesin yang baik serta memberika pelatihan kepada pekerja dengan penggunaan suhu mesin sesuai jenis kain.Kata Kunci : Cacat Produk, Quality Improvement, FMEA, RPNa 


Author(s):  
Eric Gilbertson ◽  
Franz Hover ◽  
Ed Colina

Gas-lifted oil wells are susceptible to failure through malfunction of gas lift valves. This is a growing concern as offshore wells are drilled thousands of meters below the ocean floor in extreme temperature and pressure conditions and repair and monitoring become more difficult. Gas lift valves and oil well systems have been modeled but system failure modes are not well understood. In this paper a quasi-steady-state fluid-mechanical model is constructed to study failure modes and sensitivities of a gas-lifted well system including the reservoir, two-phase flow within the tubing, and gas lift valve geometry. A set of three differential algebraic equations of the system is solved to determine the system state. Gas lift valve, two-phase flow, and reservoir models are validated with well and experimental data. Sensitivity analysis is performed on the model and sensitive parameters are identified. Failure modes of the system and parameter values that lead to failure modes are identified using Monte Carlo simulation. In particular, we find that the failure mode of backflow through the gas lift valve with a leaky check valve is sensitive to small variations in several design parameters.


Author(s):  
Cha-Ming Shen ◽  
Tsan-Cheng Chuang ◽  
Jie-Fei Chang ◽  
Jin-Hong Chou

Abstract This paper presents a novel deductive methodology, which is accomplished by applying difference analysis to nano-probing technique. In order to prove the novel methodology, the specimens with 90nm process and soft failures were chosen for the experiment. The objective is to overcome the difficulty in detecting non-visual, erratic, and complex failure modes. And the original idea of this deductive method is based on the complete measurement of electrical characteristic by nano-probing and difference analysis. The capability to distinguish erratic and invisible defect was proven, even when the compound and complicated failure mode resulted in a puzzling characteristic.


Author(s):  
Martin Versen ◽  
Dorina Diaconescu ◽  
Jerome Touzel

Abstract The characterization of failure modes of DRAM is often straight forward if array related hard failures with specific addresses for localization are concerned. The paper presents a case study of a bitline oriented failure mode connected to a redundancy evaluation in the DRAM periphery. The failure mode analysis and fault modeling focus both on the root-cause and on the test aspects of the problem.


Author(s):  
Bhanu P. Sood ◽  
Michael Pecht ◽  
John Miker ◽  
Tom Wanek

Abstract Schottky diodes are semiconductor switching devices with low forward voltage drops and very fast switching speeds. This paper provides an overview of the common failure modes in Schottky diodes and corresponding failure mechanisms associated with each failure mode. Results of material level evaluation on diodes and packages as well as manufacturing and assembly processes are analyzed to identify a set of possible failure sites with associated failure modes, mechanisms, and causes. A case study is then presented to illustrate the application of a systematic FMMEA methodology to the analysis of a specific failure in a Schottky diode package.


Author(s):  
Elena Bartolomé ◽  
Paula Benítez

Failure Mode and Effect Analysis (FMEA) is a powerful quality tool, widely used in industry, for the identification of failure modes, their effects and causes. In this work, we investigated the utility of FMEA in the education field to improve active learning processes. In our case study, the FMEA principles were adapted to assess the risk of failures in a Mechanical Engineering course on “Theory of Machines and Mechanisms” conducted through a project-based, collaborative “Study and Research Path (SRP)” methodology. The SRP is an active learning instruction format which is initiated by a generating question that leads to a sequence of derived questions and answers, and combines moments of study and inquiry. By applying the FMEA, the teaching team was able to identify the most critical failures of the process, and implement corrective actions to improve the SRP in the subsequent year. Thus, our work shows that FMEA represents a simple tool of risk assesment which can serve to identify criticality in educational process, and improve the quality of active learning.


2016 ◽  
Vol 33 (6) ◽  
pp. 830-851 ◽  
Author(s):  
Soumen Kumar Roy ◽  
A K Sarkar ◽  
Biswajit Mahanty

Purpose – The purpose of this paper is to evolve a guideline for scientists and development engineers to the failure behavior of electro-optical target tracker system (EOTTS) using fuzzy methodology leading to success of short-range homing guided missile (SRHGM) in which this critical subsystems is exploited. Design/methodology/approach – Technology index (TI) and fuzzy failure mode effect analysis (FMEA) are used to build an integrated framework to facilitate the system technology assessment and failure modes. Failure mode analysis is carried out for the system using data gathered from technical experts involved in design and realization of the EOTTS. In order to circumvent the limitations of the traditional failure mode effects and criticality analysis (FMECA), fuzzy FMCEA is adopted for the prioritization of the risks. FMEA parameters – severity, occurrence and detection are fuzzifed with suitable membership functions. These membership functions are used to define failure modes. Open source linear programming solver is used to solve linear equations. Findings – It is found that EOTTS has the highest TI among the major technologies used in the SRHGM. Fuzzy risk priority numbers (FRPN) for all important failure modes of the EOTTS are calculated and the failure modes are ranked to arrive at important monitoring points during design and development of the weapon system. Originality/value – This paper integrates the use of TI, fuzzy logic and experts’ database with FMEA toward assisting the scientists and engineers while conducting failure mode and effect analysis to prioritize failures toward taking corrective measure during the design and development of EOTTS.


Sign in / Sign up

Export Citation Format

Share Document