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Journal articles on the topic 'Process risk analysis'

Author: Grafiati

Published: 28 June 2021

Last updated: 7 February 2022

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1

Kataria, K. K., and M. Khandakar. "Mixed fractional risk process." Journal of Mathematical Analysis and Applications 504, no. 1 (December 2021): 125379. http://dx.doi.org/10.1016/j.jmaa.2021.125379.

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2

Redmill, F. "Risk analysis - a subjective process." Engineering Management Journal 12, no. 2 (2002): 91. http://dx.doi.org/10.1049/em:20020206.

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3

Flores-Jimeno, Rocío, and Inmaculada Jimeno-García. "Dynamic analysis of different business failure process." Problems and Perspectives in Management 15, no. 2 (September 27, 2017): 486–99. http://dx.doi.org/10.21511/ppm.15(si).2017.02.

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This work is framed in the research of business failure. We examine a method of analyzing the dynamics of financial failure. The authors examine a method of analyzing the dynamics of financial failure, because our goal is to analyze how the economic and financial indicators show the risk of failure in a group of companies. Using a sample of 163 companies declared bankrupt or dissolved, the authors show how to depict company trajectories of behavior and movement to terminal failure. They analyze these trajectories to find and describe empirical evidence of the different dynamics of bankruptcy. The authors also show that the estimation of failure risk is more accurate when these different failure trajectories are defined. In conclusion, the authors can see that there are different failure trajectories. One can use these different trajectories to identify more efficiently the indicators warning of the failure risk of the companies analyzed.

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4

Janeliūnienė, Rasma, and Vida Davidavičienė. "IT RISK IDENTIFICATION PROCESS ANALYSIS / IT RIZIKOS IDENTIFIKAVIMO PROCESO ANALIZĖ." Mokslas - Lietuvos ateitis 5, no. 1 (April 5, 2013): 46–52. http://dx.doi.org/10.3846/mla.2013.07.

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Business processes and business success that depends on information technology (IT) is now closely associated with IT risks, which is influenced by growing IT risk management and control needs. It is vitally important to identify, analyse and reduce systemic risk in order to avoid undesirable consequences, such as information loss, data leaks or damage. A critical success factor in this situation is the systematic and continuous IT risk management. This paper aims to analyse one part of the IT risk management process –risk identification. The article invoked the methods of literature analysis, synthesis, comparison, and generalization.Article in Lithuanian Santrauka Išaugusi verslo procesų, kartu ir verslo sėkmės, priklausomybė nuo informacinių technologijų (IT) šiuo metu yra glaudžiai susijusi su IT rizika. Tai daro įtaką augančiam IT rizikos valdymo ir kontrolės poreikiui. Nepaneigtina tai, kad identifikuota, išanalizuota ir sumažinta sistemos rizika leidžia išvengti nepageidaujamų pasekmių, tokių kaip informacijos praradimas, nutekėjimas ar duomenų sugadinimas. Pagrindinis sėkmės veiksnys siekiant užtikrinti organizacijos sėkmę valdant IT yra sistemingas ir tęstinis IT rizikos valdymas. Straipsnyje keliamas tikslas išanalizuoti vieną iš IT rizikos valdymo proceso etapų – rizikų identifikavimą. Straipsnyje pasitelkiami tokie metodai, kaip mokslinės literatūros analizė, sisteminimas, apibendrinimas.

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5

Laksmita, Raizsa, and Imam Djati Widodo. "Fuel distribution process risk analysis in East Borneo." MATEC Web of Conferences 154 (2018): 01079. http://dx.doi.org/10.1051/matecconf/201815401079.

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Fuel distribution is an important aspect of fulfilling the customer’s need. It is risky because it can cause tardiness that can cause fuel scarcity. In the process of distribution, many risks are occurring. House of Risk is a method used for mitigating the risk. It identifies seven risk events and nine risk agents. Matrix occurrence and severity are used for eliminating the minor impact risk. House of Risk 1 is used for determining the Aggregate Risk Potential (ARP). Pareto diagram is applied to prioritize risk that must be mitigated by preventive actions based on ARP. It identifies 4 priority risks, namely A8 (Car trouble), A4 (Human Error), A3 (Error deposit via bank and underpayment), and A6 (traffic accident) which should be mitigated. House of Risk 2 makes for mapping between the preventive action and risk agent. It gets the Effectiveness to Difficulty Ratio (ETD) for mitigating action. Conducting safety talk routine once every three days with ETD 2088 is the primary preventive actions.

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6

Dzido, Hanna. "Risk analysis in the supervision process." Transportation Overview - Przeglad Komunikacyjny 2019, no. 1 (January 1, 2019): 18–25. http://dx.doi.org/10.35117/a_eng_19_01_03.

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The article deals with the theoretical and practical aspects of safety management in civil aviation. Presented the process of approach of Risk Based Oversight (RBO) and application of legal acts and documents necessary for oversight at particular levels (aviation organization, member state, European). One of the main activity of the implementation and effectiveness of the Safety Management System (SMS) management system in air organizations are the effective systems for occurrence reporting and the Just Culture idea. The article also includes an amendment to EU law - Regulation 2018/1139, so-called the new Basic Regulation (NBR - New Basic Regulation), which makes it possible to apply the law to state aviation aircraft carrying out military, customs, police, search and rescue, fire-fighting, border control and coastal protection or other public interest activities in favor of safety, interoperability and efficiency.

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7

Kojima, Tsutomu, Toru Hasegawa, Munechika Misumi, and Tsuyoshi Nakamura. "Risk analysis of software process measurements." Software Quality Journal 16, no. 3 (December 11, 2007): 361–76. http://dx.doi.org/10.1007/s11219-007-9040-5.

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8

Medina, Héctor, Josep Arnaldos, and Joaquim Casal. "Process design optimization and risk analysis." Journal of Loss Prevention in the Process Industries 22, no. 5 (September 2009): 566–73. http://dx.doi.org/10.1016/j.jlp.2009.04.007.

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9

Zadakbar, Omid, Faisal Khan, and Syed Imtiaz. "Development of Economic Consequence Methodology for Process Risk Analysis." Risk Analysis 35, no. 4 (December 9, 2014): 713–31. http://dx.doi.org/10.1111/risa.12313.

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10

Tsany, Farras, Imam Santoso, and Dhita Morita Ikasari. "Identification and Risk Analysis of Mozarella Cheese Production Process." Journal of Industrial and Information Technology in Agriculture 1, no. 2 (December 29, 2017): 18. http://dx.doi.org/10.24198/jiita.v1i2.14599.

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Mozzarella cheese is a food which is very risky to the growth of microorganisms since it has high water content by 54.1%. One way to overcome that problem is to identify and analyze the risks found in the production process of mozzarella cheese. Therefore, the researchers examined the identification and risk analysis of mozzarella cheese production process by conducting a case study in CV XYZ. The methods used were Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The results revealed that there were 11 risks from 8 steps of the production process. Of the 11 risks, the risks which were included in the critical risks were the risk of contamination during the curd clotting process, low-quality of milk, severe stretcher machine damage, and overly acidic cheese taste. The result of quantitative analysis of FTA indicated that the risk probability during mozzarella cheese production process was 0.110 or the risk was 11%. The probability with the highest value was the probability of contamination risk during the curd clotting process by 0.095. It indicated that contamination during the curd clotting process was the most probable risk in the future. The proposed recommendations for improvement are devising Standard Operating Procedures (SOPs) and Sanitation Standard Operating Procedures (SSOP) based on the company's condition and it should be implemented properly. Then, improving communication with suppliers is also needed so that the company will always get high quality raw materials. Keywords: Qualitative Analysis, Quantitative Analysis, Dairy Product, Failure Mode and Effect Analysis, Fault Tree Analysis

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11

Wu, Hao-Che, Michael K. Lindell, and Carla S. Prater. "Process Tracing Analysis of Hurricane Information Displays." Risk Analysis 35, no. 12 (June 1, 2015): 2202–20. http://dx.doi.org/10.1111/risa.12423.

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12

Xu, Tao. "E-Commerce Risk Analysis with Fuzzy Analytic Hierarchy Process." Applied Mechanics and Materials 571-572 (June 2014): 1129–32. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1129.

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Fuzzy Analytic Hierarchy Process (FAHP) has been applied widely in risk measurement. In this paper, we have applied FAHP to the risk measurement of an e-commerce business. The results indicate that FAHP can reveal more details of risks. It is also helpful for the e-commerce businesses to improve their risk management process.

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13

Grossel, Stanley S. "Guidelines for Chemical Process Quantitative Risk Analysis." Journal of Loss Prevention in the Process Industries 14, no. 5 (September 2001): 438–39. http://dx.doi.org/10.1016/s0950-4230(01)00002-x.

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14

Akterian, Stepan G., Pablo S. Fernandez, Marc E. Hendrickx, Paul P. Tobback, Paula M. Periago, and Antonio Martinez. "Risk analysis of the thermal sterilization process." International Journal of Food Microbiology 47, no. 1-2 (March 1999): 51–57. http://dx.doi.org/10.1016/s0168-1605(99)00005-7.

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15

Lemley, J. R., Vasilis M. Fthenakis, and Paul D. Moskowitz. "Security risk analysis for chemical process facilities." Process Safety Progress 22, no. 3 (September 2003): 153–62. http://dx.doi.org/10.1002/prs.680220304.

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16

Iulia, Iuga. "Dimensions Of The Credit Risk Analysis Process And Credit Risk." Annales Universitatis Apulensis Series Oeconomica 3, no. 8 (July 31, 2006): 48–53. http://dx.doi.org/10.29302/oeconomica.2006.8.3.8.

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17

Wang, Yichen, Hong Zheng, and Xinyue Lu. "Dynamic Risk Analysis in Metro Construction Using Statistical Process Control." Mathematical Problems in Engineering 2020 (February 14, 2020): 1–11. http://dx.doi.org/10.1155/2020/4053042.

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Metro construction is normally carried out in complex engineering geological environment, so it can generate various risk events. In the process of metro construction, a scientific risk dynamic analysis is indispensable to reduce and control risks. In order to analyze the risk in metro construction more scientifically and reasonably, in this study, a new risk dynamic analysis method for metro construction is proposed using statistical process control. The method can analyse the risk level according to the process’s capacity index and identify the characteristics of risk variation according to the statistical control chart. The risk level and the characteristic of risks may vary with dynamical updating of monitoring data, so the conclusion of risk evaluation for a time interval can be drawn and corresponding safety measures can be ascertained. The method ushers statistical process control, so the random factors in risk evolution can be considered fully. Then, the method is applied to the risk analysis of shield construction under the Beijing-Tianjin intercity railway in Beijing Metro Line 8, a typical risk problem in the traffic construction. The variation of the risk level and the characteristic of risks can be evaluated reasonably because the dynamical randomness is considered. Moreover, whether risk control measures should be taken and what the effective measures are can be ascertained explicitly.

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18

Kochetova-Kozloski, Natalia, Thomas M. Kozloski, and William F. Messier. "Auditor Business Process Analysis and Linkages among Auditor Risk Judgments." AUDITING: A Journal of Practice & Theory 32, no. 3 (January 1, 2013): 123–39. http://dx.doi.org/10.2308/ajpt-50413.

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SUMMARY: This research note examines whether auditors “link” their entity-level risk assessments to their core business process risk assessments. For auditors who performed a business process analysis of the core business process, there is a positive association between the identification of significant process-level business risks and the identification of significant business risks at the entity level. We also find that performing a business process analysis leads to higher assessments of the risk of material misstatement at the process level. With respect to the linkages between risk-related judgments, we find that auditors link their assessments of misstatement risk at the process level to similar assessments at the entity level, while taking into account significant process-level risks. Data Availability: The data are available from the first author upon request.

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19

Boc, Kamil, Juraj Vaculík, and Dagmar Vidriková. "Risk Analysis in Managerial Process and Fuzzy Approach." Transport and Telecommunication Journal 14, no. 3 (September 1, 2013): 214–22. http://dx.doi.org/10.2478/ttj-2013-0018.

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One of the most important steps in managerial process is the risk analysis. While various methods for conducting the risk analysis exist, in certain conditions only subjective qualitative approach can be used. The typical reason is the lack of input quantitative data. Methods of fuzzy logic can provide a convenient way to conduct risk analyses. The article describes an application of fuzzy logic and fuzzy approach into risk analyses and into risk management process. All needed requirements for using this approach are described. The main advantage of using fuzzy approach is limitation of subjectivity in risk assessment. That can provide basis for regular repeating of risk analyses thus, efficient control system can be created instead of formal occasional risk analyses. Article also describes recommended modification of threat identification process to maximize mutual effect when applied together with this kind of risk analyses.

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20

Siewiera, Agnieszka. "Risk analysis in the construction project management process." Zeszyty Naukowe Uniwersytetu Szczecińskiego Finanse Rynki Finansowe Ubezpieczenia 92 (2018): 175–84. http://dx.doi.org/10.18276/frfu.2018.92-15.

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21

Zhang, Jiao. "Analytical Hierarchy Process Applied to Risk Analysis of Deep Excavation." Advanced Materials Research 250-253 (May 2011): 1646–50. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.1646.

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The application of the analytical hierarchy process (AHP) to the risk analysis of deep excavation was investigated. Firstly, the occurring probabilities of various risk factors during deep excavation were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of deep excavation could be evaluated by fuzzy complex evaluation. This risk analysis method was applied to evaluate the total risk of a real deep excavation, and the exemplification verified its feasibility.

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22

Derradji, Rima, and Rachida Hamzi. "Multi-criterion analysis based on integrated process-risk optimization." Journal of Engineering, Design and Technology 18, no. 5 (January 10, 2020): 1015–35. http://dx.doi.org/10.1108/jedt-08-2019-0201.

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Purpose This paper aims to propose a process optimization approach showing how organizations are able to achieve sustainable and efficient process optimization, based on integrated process-risk analysis using several criteria to a better decision-making. Design/methodology/approach Several approaches are used (functional/dysfunctional) to analyze how processes work and how to deal with risks forming multi-criteria decision-making. In addition, a risk factor is integrated into the structured analysis and design techniques (SADT) method forming a novel graphical view SADT-RISK; it identifies process’s failures using the traditional failure modes, effects and criticality analysis (FMECA) and economic consideration “failure mode and effect, criticality analysis-cost FMECA-C” making a multi-criterion matrix for better decision-making. Subsequently, some recommendations are proposed to overcome the failure. Findings This paper illustrates a methodology with a case study in a company, which has a leading brand in the market in Algeria. The authors are integrating a varied portfolio of approaches linking with each other to analyze, improve and optimize the processes in terms of reliability and safety to deal with risks; reduce the complexity of the systems; increase the performance; and achieve a safer process. However, the proposed method can be readily used in practice. Originality/value The paper provides a new approach based on integrated management using new elements as an innovative contribution, forming a novel graphical view SADT-RISK; it identifies process’s failures using the traditional FMECA and economic consideration “a new multi-criterion matrix for better decision-making and using the SWOT analysis – Strengths, Weaknesses, Opportunities, Threats – as a balance to decide about the process improvement”. The authors conclude that this methodology is oriented and applicable to different types of companies such as financial, health and industrial as illustrated by this case study.

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23

Bastchen, Gustavo, Fernanda Silva, and Milton Borsato. "Risk management analysis in the product development process." Procedia Manufacturing 17 (2018): 507–14. http://dx.doi.org/10.1016/j.promfg.2018.10.090.

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24

Brenk, Arkadiusz, Zbigniew Rogala, and Ziemowit Malecha. "Analysis of freezing risk during LNG evaporation process." IOP Conference Series: Materials Science and Engineering 755 (June 30, 2020): 012114. http://dx.doi.org/10.1088/1757-899x/755/1/012114.

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25

Rusu, Lucia, Dan Benta, Sergiu Jecan, and Oana Dines. "BUSINESS PROCESS ANALYSIS FOR RISK MANAGEMENT IN PAV3M." Environmental Engineering and Management Journal 16, no. 4 (2017): 949–56. http://dx.doi.org/10.30638/eemj.2017.096.

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26

Freeman, Raymond A. "CCPS guidelines for chemical process quantitative risk analysis." Plant/Operations Progress 9, no. 4 (October 1990): 231–35. http://dx.doi.org/10.1002/prsb.720090409.

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27

Westerberg, Karin, Ernst Broberg‐Hansen, Lars Sejergaard, and Bernt Nilsson. "Model‐based risk analysis of coupled process steps." Biotechnology and Bioengineering 110, no. 9 (April 22, 2013): 2462–70. http://dx.doi.org/10.1002/bit.24909.

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28

Englehardt, James D. "Bayesian Benefit-Risk Analysis for Sustainable Process Design." Journal of Environmental Engineering 123, no. 1 (January 1997): 71–79. http://dx.doi.org/10.1061/(asce)0733-9372(1997)123:1(71).

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29

Van Sciver, Gary R. "Quantitative risk analysis in the chemical process industry." Reliability Engineering & System Safety 29, no. 1 (January 1990): 55–68. http://dx.doi.org/10.1016/0951-8320(90)90072-u.

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30

Öztaş, Ahmet, and Önder Ökmen. "Judgmental risk analysis process development in construction projects." Building and Environment 40, no. 9 (September 2005): 1244–54. http://dx.doi.org/10.1016/j.buildenv.2004.10.013.

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31

Bragatto, Paolo, Marina Monti, Franca Giannini, and Silvia Ansaldi. "Exploiting process plant digital representation for risk analysis." Journal of Loss Prevention in the Process Industries 20, no. 1 (January 2007): 69–78. http://dx.doi.org/10.1016/j.jlp.2006.10.005.

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32

Lahti, LeslieE. "A guideline for chemical process quantitative risk analysis." Journal of Hazardous Materials 26, no. 1 (January 1991): 101–2. http://dx.doi.org/10.1016/0304-3894(91)85021-e.

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33

Collins, Robert L. "Process hazard analysis quality." Process Safety Progress 29, no. 2 (October 20, 2009): 113–17. http://dx.doi.org/10.1002/prs.10361.

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34

Wojtyto, Dorota, Dariusz Rydz, Michał Pałęga, and Aleksader S. Arbuz. "Job Safety Analysis in the Context of the Risk Management Process." System Safety: Human - Technical Facility - Environment 1, no. 1 (March 1, 2019): 35–44. http://dx.doi.org/10.2478/czoto-2019-0005.

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AbstractThe article presents the Job Safety Analysis for a Glass Production Line Operator's Workstation in the context of the Risk Management Process. The main tasks performed by the worker have been defined, and then risks associated with each activity and preventive actions have been identified. On this basis, for the Health & Safety risk analysis and assessment, criteria have been established, which take into account the actual exposure to risks and their probability and results.

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35

Fu, Jian Min, Dong Feng Zhao, Chao Zhang, and Yi Liu. "Quantitative Process Risk Analysis Based on Dynamic Simulation of Gas Gathering Process." Advanced Materials Research 399-401 (November 2011): 2226–30. http://dx.doi.org/10.4028/www.scientific.net/amr.399-401.2226.

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After nearly fifty years of development, HAZOP (Hazard and Operability study /analysis) has become the most widely used process hazard identifications method, basically covering all areas of petrochemical industry. As technology advancing and people continuing to increase safety requirements, HAZOP quantitative analysis has become a major trend. This paper gives an integration of traditional HAZOP procedure with Dynamic Simulation to quantify the HAZOP deviations and improve the operability of action required. A natural gas gathering process is selected to the application example. Uses the advanced process simulation software ASPEN HYSYS to set the modeling of the gas gathering process, and carry out the dynamic modeling in the light of main problems, and combing the dynamic simulation analysis gets the quantitative analysis results.

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36

Wang, Zijia, David Landriault, and Shu Li. "An insurance risk process with a generalized income process: A solvency analysis." Insurance: Mathematics and Economics 98 (May 2021): 133–46. http://dx.doi.org/10.1016/j.insmatheco.2021.02.005.

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37

Flaig, John J. "PROCESS CAPABILITY SENSITIVITY ANALYSIS." Quality Engineering 11, no. 4 (July 1999): 587–92. http://dx.doi.org/10.1080/08982119908919279.

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38

Silva, Ana Elisa Bauer de Camargo, and Silvia Helena De Bortoli Cassiani. "Prospective risk analysis of the anti-infective medication administration process." Revista Latino-Americana de Enfermagem 21, spe (February 2013): 233–41. http://dx.doi.org/10.1590/s0104-11692013000700029.

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OBJECTIVE: The objective of this study was to analyze the potential risks involved in the administration process of intravenous anti-infective medication at a medical clinic, using the Failure Mode and Effect Analysis. METHOD: This exploratory study was conducted at the medical clinic of a hospital in the State of Goiás. For data collection we convened a team comprised of six professionals involved in medication treatment: a doctor, nurse, nursing technician, pharmacist, a nursing and a risk manager. A total of 24 meetings were held, for a total of 56 hours. The data were transcribed into an electronic database within Microsoft Excel®, and the Xfmea4 software was used. RESULT: The results indicated 52 failure modes, 79 effects of failure, and 285 causes of failure. The causes were related to: the management of organizational processes, human resources, physical and material structure. A total of 298 actions for improvement were recommended for 215 causes of high and average priority, 81.9% of which were short-term priorities. The simulation of the impact of the proposed interventions revealed a 79.7% reduction of the high-priority failure modes. CONCLUSION: It was concluded that the study identified potential risks to patients and recommended proactive actions, of rapid application and low cost, evaluated positively in the reduction of risk of occurrence of avoidable incidents, increasing reliability and safety of the medication administration process. Studies like this demonstrate that, with the application of a method of risk analysis, nurses can effectively assist in preventing medication incidents.

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Zhang, Jiao. "Application of Analytical Hierarchy Process to Risk Analysis of Port Construction Project." Applied Mechanics and Materials 170-173 (May 2012): 2292–97. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.2292.

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The application of analytical hierarchy process (AHP) to the risk analysis of port construction project was investigated. Firstly, the happening probabilities of various risk factors during port construction were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of port construction project could be evaluated by fuzzy comprehensive evaluation. This risk analysis method was applied to evaluate the total risk of a real port construction project, and the exemplification verified its feasibility.

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40

Wu, Xin Yin, Yao Fu, and Yan Xu. "Risk Analysis on Grain Quality in the Drying Process." Applied Mechanics and Materials 397-400 (September 2013): 1078–82. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1078.

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Drying is one of the important chain of operations in agricultural industry, having important implications for maintaining edible quality and reducing the production loss of grain. International and domestic scholars have done a great deal of research about heat and mass transfer, change of grain quality, process monitoring and equipment during the process of grain drying, but none about the risk analysis of grain quality during the process of drying have been published yet. Therefore, based on the model of change of grain quality that is previously built, the paper intends put forward some suggestions on the production and application of grain drying equipment, adopting the AFSOM method in the procedure of risk analysis of grain drying quality.

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41

Kotus, Martin, Róbert Drlička, Rastislav Mikuš, and Jozef Žarnovský. "Hazard analysis and risk assessment in metal cutting process." Multidisciplinary Aspects of Production Engineering 2, no. 1 (September 1, 2019): 382–91. http://dx.doi.org/10.2478/mape-2019-0038.

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Abstract The paper deals with the issue of occupational health and safety in a metalworking manufacturing organization. Hazard and threat have been defined when cutting metal materials with a band saw. We assessed the risk by an extended point method, where we determined the risk rate values. In most cases of sawmill work, we found a “moderate” or “negligible” risk. The highest, ‘serious’ risk we found in a possible electric shock. In this case, we have also taken the necessary actions. As a precaution, we have also proposed safety measures for other threats.

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42

Shekari, Elahe, Faisal Khan, and Salim Ahmed. "Economic risk analysis of pitting corrosion in process facilities." International Journal of Pressure Vessels and Piping 157 (November 2017): 51–62. http://dx.doi.org/10.1016/j.ijpvp.2017.08.005.

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43

Amin, Md Tanjin, Faisal Khan, and Paul Amyotte. "A bibliometric review of process safety and risk analysis." Process Safety and Environmental Protection 126 (June 2019): 366–81. http://dx.doi.org/10.1016/j.psep.2019.04.015.

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44

Grossel, Stanley S. "Layers of protection analysis—simplified process risk assessment (2001)." Journal of Loss Prevention in the Process Industries 15, no. 4 (July 2002): 319–20. http://dx.doi.org/10.1016/s0950-4230(02)00015-3.

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45

Chapman, Chris. "Project risk analysis and management—PRAM the generic process." International Journal of Project Management 15, no. 5 (October 1997): 273–81. http://dx.doi.org/10.1016/s0263-7863(96)00079-8.

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46

Mock, Ralf, and Maurizio Corvo. "Risk analysis of information systems by event process chains." International Journal of Critical Infrastructures 1, no. 2/3 (2005): 247. http://dx.doi.org/10.1504/ijcis.2005.006121.

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47

Hess, Jonathan, and Olivier Bernard. "ADVANCED DYNAMICAL RISK ANALYSIS FOR MONITORING ANAEROBIC DIGESTION PROCESS." IFAC Proceedings Volumes 40, no. 4 (2007): 381–86. http://dx.doi.org/10.3182/20070604-3-mx-2914.00065.

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Cass, Ann, Christian Völcker, Rafik Ouared, Alec Dorling, Lothar Winzer, and Juan María Carranza. "SPICE for SPACE trials, risk analysis, and process improvement." Software Process: Improvement and Practice 9, no. 1 (January 2004): 13–21. http://dx.doi.org/10.1002/spip.190.

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Holden, P. L., D. R. T. Lowe, and G. Opschoor. "Risk analysis in the process industries—an ISGRA update." Plant/Operations Progress 4, no. 2 (April 1985): 63–67. http://dx.doi.org/10.1002/prsb.720040203.

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Seifert, Tim, Johannes Martin Elischewski, Stefan Sievers, Frank Stenger, Bart Hamers, Markus Priske, Marc Becker, Robert Franke, Gerhard Schembecker, and Christian Bramsiepe. "Multivariate risk analysis of an intensified modular hydroformylation process." Chemical Engineering and Processing: Process Intensification 95 (September 2015): 124–34. http://dx.doi.org/10.1016/j.cep.2015.05.010.

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