scholarly journals Application of Systems Engineering to Risk Management

2020 ◽  
Vol 9 (2) ◽  
pp. 1-23
Author(s):  
Brian J. Galli

System engineering is an interdisciplinary field of engineering and engineering management that focuses on the design and management of the system. The system as a whole is the concern, which is followed by more technical aspects of the system, the design of everything, and the management of a complex system. Inspecting and making the system more efficient is the focus for system engineers. Additionally, risk management is being able to predict, evaluate, and solve risks that are going to happen or may happen in the future. There are three models that help system engineers with making a complex system look simpler and less frightening: the Vee, Spiral, and Waterfall models. While system thinking is a very important part of system engineering, there always has to be a collection of data to study for making decisions. As of now, there is no explanation in literature how these variables, their concepts, and models are beneficial to project management. This has created a research gap, so the study examined the most current variables, their concepts, and models in operations and project management. Furthermore, a design-science-investigate strategy was used to approve a valuable growth reveal for both reasonable and hypothetical application. As a result, an assessment model was generated to fill the research gap and to contribute to the engineering field through improved project success rates and team communication.

2020 ◽  
Vol 10 (2) ◽  
pp. 1-24
Author(s):  
Brian J. Galli

In today's uncertain business environment, companies must evaluate risk for projects before making business decisions. For example, one can use the SMART method. Also, Gantt charts help the project manager to schedule and plan, which helps in decision-making for the project. Technology has created software for discovering the probability of the risk with algorithms and many mathematical methods. However, pre-existing literature does not show how these variables, their concepts, and models help in project management, which has resulted in a research gap. Thus, this study addresses the most current variables, their concepts, and models within operations and project management. With a design-science-investigate strategy, the authors approve a valuable growth reveal for reasonable and hypothetical application. Thus, they create a suitable assessment model to fill the research void, as well as to contribute to the engineering field by improving the project success rates and helping with team communication.


2021 ◽  
Vol 8 (1) ◽  
pp. 0-0

However, pre-existing literature does not show how these variables, their concepts, and models help in strategic planning, which has resulted in a research gap. Thus, this study addresses the most current variables, their concepts, and models within operations and project management. With a design-science-investigate strategy, we approve a valuable growth reveal for reasonable and hypothetical application. Thus, we create a suitable assessment model to fill the research void, as well as to contribute to the engineering field by improving the project success rates and helping with team communication.


2021 ◽  
Vol 8 (1) ◽  
pp. 1-16
Author(s):  
Brian J. Galli

However, pre-existing literature does not show how these variables, their concepts, and models help in strategic planning, which has resulted in a research gap. Thus, this study addresses the most current variables, their concepts, and models within operations and project management. With a design-science-investigate strategy, we approve a valuable growth reveal for reasonable and hypothetical application. Thus, we create a suitable assessment model to fill the research void, as well as to contribute to the engineering field by improving the project success rates and helping with team communication.


2020 ◽  
Vol 9 (1) ◽  
pp. 44-62
Author(s):  
Brian J. Galli

This article investigated measurement system analysis and system thinking in Six Sigma, as well as the factors that influence these actions. If the measurement system being used to accumulate data from the process delivers dependable and accurate results, the measurement system analysis regulates it. Process improvement initiatives can be derailed by faulty measurement systems. Also, managers who have read faulty data can be misled into making wrong decisions. To collect trustworthy data, a reliable measurement system is established with this process. A method to assess an organization as a system and interpret its practices as a whole with Six Sigma is system thinking. Also, fixing a system as a whole helps to identify the real causes of issues and to know where to address them. This article addressed the contribution of these two methods to an overall success of an organization operating Six Sigma. The most current variables, concepts, and models were studied within operations and project management. By using a design-science-investigate strategy, this study approved of a valuable growth reveal for reasonable and hypothetical application. This study allowed us to generate a fitting assessment model that will fill the research void. Also, this study contributed to the engineering field with improved project success rates and team communication.


2020 ◽  
Author(s):  
D.V. Zlokazov

Risk management is a dynamically developing type of management. Risk management refers to processes associated with identification, risk analysis and decision-making, which include maximizing the positive and minimizing the negative consequences of risk events. Risk elimination is necessary to complete the project on time. Managing risks for a project manager can be easier with using several approaches described in this article. The article presents comparison of widespread approach to managing risks in projects with the set of instruments derived from systems engineering. These approaches are SEBoK (System Engineering Body of Knowledge) PM BoK and OMG Essence. Author tries to integrate sets of instruments present in various project management and systems engineering bodies of knowledge and show how ones derive from the others. Keywords: project, project management, risks of the project, risk management, systems engineering, stakeholders, project requirements, SEBoK


2019 ◽  
Vol 8 (1) ◽  
pp. 79-93
Author(s):  
Brian J. Galli

Task administration is the procedure through which work is instated, arranged, executed, and controlled by a group to accomplish an objective. Since project management activities are different from normal business activities that are conducted every day, project management calls for special technical and management skills amongst team members. The successful completion of a project depends largely on systems engineering and the management of various programs. Systems engineering refers to an interdisciplinary approach that facilitates the realization and success of complex systems. The purpose of system engineering is to, therefore, influence the whole system through various cohesive subsystems. The principles of system engineering are synonymous with most characteristics of project management. System engineering is, therefore, applicable to advance project management. This paper looks at the application of system engineering to project management.


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