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Zeitschriftenartikel zum Thema „Process risk analysis“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Kataria, K. K., and M. Khandakar. "Mixed fractional risk process." Journal of Mathematical Analysis and Applications 504, no. 1 (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 (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.

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Khudarganov, Kamoladdin. "DESCRIPTION OF THE PHYTOSANITARY RISK ANALYSIS PROCESS PERFORMED ON THE LAWN TO DETERMINE A PHYTOSANITARY RISK MANAGEMENT." American Journal of Agriculture and Biomedical Engineering 04, no. 03 (2022): 15–19. http://dx.doi.org/10.37547/tajabe/volume04issue03-02.

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This standard provides a detailed description of the phytosanitary risk analysis process performed on the lawn to determine if a pest may be a quarantine pest. The application of flour to risk assessment, as well as the harmonized processes required to select a phytosanitary risk management option, are described.

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5

Janeliūnienė, Rasma, and Vida Davidavičienė. "IT RISK IDENTIFICATION PROCESS ANALYSIS / IT RIZIKOS IDENTIFIKAVIMO PROCESO ANALIZĖ." Mokslas - Lietuvos ateitis 5, no. 1 (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,

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6

Dzido, Hanna. "Risk analysis in the supervision process." Transportation Overview - Przeglad Komunikacyjny 2019, no. 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-c

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Kojima, Tsutomu, Toru Hasegawa, Munechika Misumi, and Tsuyoshi Nakamura. "Risk analysis of software process measurements." Software Quality Journal 16, no. 3 (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 (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 (2014): 713–31. http://dx.doi.org/10.1111/risa.12313.

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10

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

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11

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

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12

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

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13

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 (1999): 51–57. http://dx.doi.org/10.1016/s0168-1605(99)00005-7.

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14

Dehkordi, Mohammadreza Karimi, Behrouz Behnam, and Reza Ghasemi Pirbalouti. "Probabilistic fire risk analysis of process pipelines." Journal of Loss Prevention in the Process Industries 80 (December 2022): 104907. http://dx.doi.org/10.1016/j.jlp.2022.104907.

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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 (2003): 153–62. http://dx.doi.org/10.1002/prs.680220304.

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16

Boc, Kamil, Juraj Vaculík, and Dagmar Vidriková. "Risk Analysis in Managerial Process and Fuzzy Approach." Transport and Telecommunication Journal 14, no. 3 (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 subjec

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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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18

Li, Xinhong, Rouzbeh Abbassi, and Huixing Meng. "Safety and risk analysis in digitalized process operations." Process Safety and Environmental Protection 166 (October 2022): 212–13. http://dx.doi.org/10.1016/j.psep.2022.08.036.

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19

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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20

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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21

Zulfa Maulida Nur Hafidzah, Damoyanto Purba, and Elly Kusumawati. "Identifikasi Passage Plan Process dengan Risk Assessment Analysis." Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan 2, no. 4 (2024): 27–40. http://dx.doi.org/10.61132/globe.v2i4.557.

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This study examines the passage planning process and the application of Risk Assessment Analysis on the MT. Kasim vessel, focusing on the route from Tanjung Gerem to Bengkulu. Through a mixed-method approach, the research identifies and evaluates critical risks in voyage planning. The findings demonstrate that integrating Risk Assessment Analysis into the passage planning process is crucial for enhancing ship safety and operational efficiency. The analysis reveals several key risks, including extreme weather conditions, navigational hazards, and potential technical failures. The study also emp

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22

Marzec, Dominika, and Jacek Skorupski. "FRAM-Based Analysis of Airport Risk Assessment Process." Aerospace 12, no. 2 (2025): 99. https://doi.org/10.3390/aerospace12020099.

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The safety of flight operations and passengers is one of the main criteria for evaluating airport performance. Risk analysis and assessment are used to ensure safety in the airport’s decision-making process. This paper aims to formally analyze these processes and look for weaknesses that can lead to erroneous assessments and, thus, ineffective decisions. Given the specific nature of the issue, which requires the Safety II approach, it was assumed that the analysis would be carried out using a systems approach, considering all factors and relationships affecting the effectiveness of the examine

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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

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

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25

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

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26

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

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27

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 (2007): 69–78. http://dx.doi.org/10.1016/j.jlp.2006.10.005.

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28

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

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29

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

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30

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

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31

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

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32

Kayumjon ugli, Kuchkarov Zafarjon. "THE PROCESS OF ASSESSING CORRUPTION RISK IN HIGHER EDUCATION." American Journal of Political Science Law and Criminology 04, no. 04 (2022): 39–46. http://dx.doi.org/10.37547/tajpslc/volume04issue04-06.

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All government anti-corruption reforms in education are aimed at ensuring the rights and interests of citizens to receive a quality education. With the development of modern public administration and the rapid increase in the number of professions in the private sector, the fight against corruption in higher education is becoming increasingly important. The use of preventive methods in the fight against corruption is widespread in the world, and the use of this area in education provides high efficiency. Corruption risk assessment is one of the most common, integrated preventive methods in the

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33

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

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34

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 adv

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35

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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36

Liu, Qixin, Xu Bai, Xiaofang Luo, Li Yang, Yongzheng Li, and Ke Wang. "Dynamic Risk Analysis of Intelligent Navigation Process Based on Dynamic Bayesian Network." Journal of Physics: Conference Series 2491, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1742-6596/2491/1/012011.

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Abstract With the rise and development of the concept of autonomous ships, autonomous ships have become a research hotspot in the field of international maritime and transportation. The intelligent navigation system has attracted much attention as a typical function of autonomous ships. During navigation, new risks are inevitable due to the separation from human control, so carrying out a dynamic risk analysis is of great significance. This paper is based on the risk influencing factors and typical risk events during navigation. Then, the Dynamic Bayesian Network model is established by using

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37

Syhyda, Liubov, Ivan Malytskyi, and Jingguo Mei. "Business process & risks: bibliometric and visualized analysis." Galician economic journal 87, no. 2 (2024): 60–68. http://dx.doi.org/10.33108/galicianvisnyk_tntu2024.02.060.

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Business processes form mechanisms for enterprises functioning. They drive actions, help enterprises achieve results, and be profitable and productive. However, in some cases, enterprises need help in providing new business processes, or some problems occur in old ones. The reason can be risks. In some cases, risks cause unexpected changes in all processes at the enterprise level. Fast and meaningful actions can help to prevent crises. Based on bibliometric and visualization analysis, the research aims to study risk influence on business processes. The papers’ search was conducted using biblio

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38

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

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39

Walasek, Dariusz. "PRACTICAL APPROACH TO THE RISK ANALYSIS OF CONSTRUCTION PROJECTS." Theory and Building Practice 2023, no. 2 (2023): 77–84. http://dx.doi.org/10.23939/jtbp2023.02.077.

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A construction risk assessment is the calculated process of identifying project specific threats on a jobsite, then analysing and evaluating each risk factor to determine the likelihood, impact, and repercussions of each of those variables. That assessment creates awareness surrounding the risks/hazards identified, assess current risk prevention measures that are in-place to determine if they are sufficient or if further action needs to be taken, ensuring that any legal requirements or contract requirements are being met regarding risk and also deciding if additional controls need to be implem

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40

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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41

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 su

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42

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 (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 ris

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43

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 (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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Derradji, Rima, and Rachida Hamzi. "Multi-criterion analysis based on integrated process-risk optimization." Journal of Engineering, Design and Technology 18, no. 5 (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 pro

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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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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

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

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48

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

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49

Xu, Z. X., J. Y. Li, and K. Ito. "Clustering stochastic point process model for flood risk analysis." Stochastic Hydrology and Hydraulics 12, no. 1 (1998): 53–64. http://dx.doi.org/10.1007/s004770050009.

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50

Ayala, Marcelo, Eva Parmer, Gunilla Landstedt, Hedvig Karlen, and Eva Bjarman. "Improving patient safety: risk analysis of the glaucoma process." International Journal of Ophthalmic Practice 2, no. 1 (2011): 28–31. http://dx.doi.org/10.12968/ijop.2011.2.1.28.

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