scholarly journals Characterizing the Impact of Requirements Volatility on Systems Engineering Effort

2014 ◽  
Vol 18 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Mauricio Peña ◽  
Ricardo Valerdi
Keyword(s):  
Systems Engineering ◽  
Engineering Effort ◽  
Requirements Volatility ◽  
The Impact

Measuring the Impact of a Full Service Grocery Store in a Food Desert

2021 ◽  
Vol 3 (2) ◽  
pp. 161-176
Author(s):  
Kellie Schneider ◽  
Diana Cuy Castellanos ◽  
Felix Fernando ◽  
Jeanne A. Holcomb
Keyword(s):  
Systems Engineering ◽  
Low Income ◽  
Social Impact ◽  
Food Deserts ◽  
Well Being ◽  
Environmental Indicators ◽  
Grocery Store ◽  
The Impact ◽  
Health And Well Being

Food deserts, areas in which it is difficult to obtain affordable, nutritious food, are especially problematic in low-income neighbourhoods. One model for addressing food hardship and unemployment issues within low-income food deserts is a cooperative grocery store. Through the cooperative model, the grocery store can serve as a cornerstone to address socio-economic marginalisation of low-income neighbourhoods and improve the health and well-being of its residents. It is important for communities and policymakers to be able to assess the effectiveness of these types of endeavours beyond traditional economic factors such as profitability. This article uses a systems engineering approach to develop a framework for measuring the holistic impact of a cooperative grocery store on community health and well-being. This framework encompasses values that characterise the relationship between food retail, economic viability and social equality. We develop a dashboard to display the key metrics for measuring the economic, social and environmental indicators that reflect a grocery store’s social impact. We demonstrate the usefulness of the framework through a case study of a full-service cooperative grocery store that is planned within the city of Dayton, OH.

Impact of Sustainable Structural Systems Undergraduate Research on Education and Program Development at MSU Denver

2015 ◽  
Vol 1762 ◽  
Author(s):  
Jeno Balogh ◽  
Sandra Haynes ◽  
Aaron Brown
Keyword(s):  
Program Development ◽  
Systems Engineering ◽  
Performance Optimization ◽  
Structural Engineering ◽  
Undergraduate Research ◽  
Solar Furnace ◽  
Direct Access ◽  
Faculty Research ◽  
Research Activities ◽  
The Impact

ABSTRACTThis paper presents the impact of three undergraduate research projects focusing on constructability assessment of adhesive-based wood-concrete composite structural members, on a solar heating technology that can be utilized in conjunction with this system and how these projects relate to engineering education and program development at Metropolitan State University of Denver (MSU Denver). The sustainable structures topic was pursued within senior project classes offered in summer 2013 and 2014 at MSU Denver. The first project addressed new members, while the second dealt with retrofits. These projects were motivated by faculty research in developing new sustainable construction systems using composites. Since underlining faculty research is on an international scale, students had direct access to researchers world-wide. Such research was used as an instrument in the “Experimental Methods in Structural Engineering” course. The students were also exposed to a broader-range of diverse ideas within the field of research by attending an international conference on timber bridges. The solar furnace project was run in parallel, providing students an opportunity to conduct research targeted at design and performance optimization of the heating units with the intention to assess the benefits of incorporating these devices into future buildings using the sustainable structural system technology. Experiences gained through the undergraduate research activities were applied in the design of a proposed Sustainable Systems Engineering degree program.

Implementing clinical decision support for oncology advanced care planning: A systems engineering framework to optimize the usability and utility of a machine learning predictive model in clinical practice.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 330-330
Author(s):  
Teja Ganta ◽  
Stephanie Lehrman ◽  
Rachel Pappalardo ◽  
Madalene Crow ◽  
Meagan Will ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Risk ◽  
Predictive Model ◽  
Systems Engineering ◽  
Care Planning ◽  
Learning Models ◽  
Predictive Tool ◽  
Risk Of Death ◽  
The Impact ◽  
Machine Learning Models

330 Background: Machine learning models are well-positioned to transform cancer care delivery by providing oncologists with more accurate or accessible information to augment clinical decisions. Many machine learning projects, however, focus on model accuracy without considering the impact of using the model in real-world settings and rarely carry forward to clinical implementation. We present a human-centered systems engineering approach to address clinical problems with workflow interventions utilizing machine learning algorithms. Methods: We aimed to develop a mortality predictive tool, using a Random Forest algorithm, to identify oncology patients at high risk of death within 30 days to move advance care planning (ACP) discussions earlier in the illness trajectory. First, a project sponsor defined the clinical need and requirements of an intervention. The data scientists developed the predictive algorithm using data available in the electronic health record (EHR). A multidisciplinary workgroup was assembled including oncology physicians, advanced practice providers, nurses, social workers, chaplain, clinical informaticists, and data scientists. Meeting bi-monthly, the group utilized human-centered design (HCD) methods to understand clinical workflows and identify points of intervention. The workgroup completed a workflow redesign workshop, a 90-minute facilitated group discussion, to integrate the model in a future state workflow. An EHR (Epic) analyst built the user interface to support the intervention per the group’s requirements. The workflow was piloted in thoracic oncology and bone marrow transplant with plans to scale to other cancer clinics. Results: Our predictive model performance on test data was acceptable (sensitivity 75%, specificity 75%, F-1 score 0.71, AUC 0.82). The workgroup identified a “quality of life coordinator” who: reviews an EHR report of patients scheduled in the upcoming 7 days who have a high risk of 30-day mortality; works with the oncology team to determine ACP clinical appropriateness; documents the need for ACP; identifies potential referrals to supportive oncology, social work, or chaplain; and coordinates the oncology appointment. The oncologist receives a reminder on the day of the patient’s scheduled visit. Conclusions: This workgroup is a viable approach that can be replicated at institutions to address clinical needs and realize the full potential of machine learning models in healthcare. The next steps for this project are to address end-user feedback from the pilot, expand the intervention to other cancer disease groups, and track clinical metrics.

scholarly journals Didactic and technological tool to encourage study in students of the Systems Engineering School at the National University of Trujillo [Herramienta didáctica y tecnológica para incentivar el estudio en los alumnos de la Escuela de Ingeniería de Sistemas de la Universidad Nacional de Trujillo]

2021 ◽  
Vol 5 (2) ◽  
pp. 70-78
Author(s):  
Luis Enrrique Boy Chavil ◽  
Juan Carlos Obando Roldan
Keyword(s):  
Student Satisfaction ◽  
Systems Engineering ◽  
Institutional Policies ◽  
Engineering School ◽  
A Value ◽  
National University ◽  
Academic Units ◽  
Technological Tool ◽  
Level Of Motivation ◽  
The Impact

The present research aims to analyze and evaluate a didactic and technological tool and see the impact to encourage study in the students of the Systems Engineering School at the National University of Trujillo, during the 2020-II semester. It was possible to implement the Stormboard application for the development of Brainstorming as a didactic strategy through which it is intended to encourage the creative and innovative aspect of students when addressing topics and case studies. Analyzing the results obtained, we can point out that impacts were determined on the level of motivation for the study of students with a value of 8%, as well as the impact on the level of perception of educational services of students was determined in the order of 24% and finally, results of the impact on the level of student satisfaction were obtained in the order of 17%. Finally, it is proposed that these didactic initiatives be taken into account in the academic and institutional policies of the Systems Engineering School of in order to extrapolate the practice to other academic units at the National University of Trujillo.

scholarly journals Microgrid System Design Based on Model Based Systems Engineering: the Case Study in the Amazon Region

2021 ◽  
Author(s):  
Miguel Angel Orellana Postigo ◽  
José Reinaldo Silva
Keyword(s):  
Systems Engineering ◽  
Amazon Forest ◽  
Small Communities ◽  
Model Based ◽  
Network Operation ◽  
Engineering Effort ◽  
Definition Of ◽  
And Control ◽  
Model Based Systems Engineering

Microgrid is a technically and economically viable opportunity to meet the demands of populations that, for various reasons, do not have access to electricity. The complexity of Smart Grid (SG) systems requires considerable engineering effort in the design process. Designing this type of complex system requires new approaches, methods, concepts and engineering tools. Where, requirements analysis plays a major role in better characterizing, understanding and specifying the domain of application that SG systems should solve. This work presents a systemic proposal based specifically on System Systems (SoS) which anticipates the formalization of requirements, aiming to understand, analyze and design SG within the scope of Model Based Systems Engineering (MBSE). The definition of a microgrid from the SoS perspective is presented in order to provide a complete view of its life cycle. Requirements would be represented in an Objective Oriented  Requirements Engineering (GORE) approach, specifically using visual diagrams based on the Keep All  Objectives Satisfied (KAOS) method, where network operation and control will be formally represented. A case  study for small communities in the equatorial Amazon forest is used as a case study for the proposed method.

Integral Potential Effectiveness of Organizational and Technological and Managerial Decisions of Building Object

2014 ◽  
Vol 584-586 ◽  
pp. 2230-2232 ◽  
Author(s):  
Lapidus Azariy
Keyword(s):  
Systems Engineering ◽  
Integral Approach ◽  
Engineering Construction ◽  
Managerial Decisions ◽  
Technological Potential ◽  
Significant Difference ◽  
Project Life Cycle ◽  
Project Life ◽  
The Impact ◽  
Functional Purpose

<p class="p0">Investment and construction project from the perspective of systems engineering and using existing terminology systems engineering construction, formed from the studied model of organizational and technological modules ( OTM ) - potentials , representing a collection of process groups , united by a common organizational approach, process sequence , functional purpose , as well as other organizational, technological and managerial factors . The impact of these factors on the final figure will be provided throughout the project life cycle. The assessment of this impact - a key link in the task of monitoring the desired end point of the object construction - its security and comfort of life of people. Call this integral component of organizational and technological potential of the object. Significant difference from the building techniques used in the evaluation of the final index integral approach to the factors shaping it. To study the model of integral organizational and technological capabilities are introduced the following notation : PI - integral (integral) capacity (potential), represents a generic parameter that characterizes the achievement of the required endpoints construction.</p>

Successful project delivery in complex brownfield environments

2011 ◽  
Vol 51 (2) ◽  
pp. 694
Author(s):  
J Sofra ◽  
Andrew Stewart
Keyword(s):  
Cost Effective ◽  
Project Delivery ◽  
Special Focus ◽  
Construction Engineering ◽  
Simultaneous Operations ◽  
Operations And Maintenance ◽  
Management Project ◽  
Engineering Effort ◽  
The Right ◽  
The Impact

Delivering services and projects in a brownfield environment has unique challenges. Brownfield, by its very nature, involves highly constrained and dynamic environments. This requires stakeholders to work collaboratively and be creative and nimble. Effective communication between client and service provider is essential. This is because the decision-making horizons are significantly shorter and consequences are more immediate. Brownfield projects are typically organised to minimise inter-discipline interfaces, with seamless delivery from engineering through to construction. Engineering effort needs to be the right sized based on the level of complexity and risk involved to ensure the effort and cost expended is appropriate for the modification or upgrade. When planning and executing brownfield projects, the following areas require special focus: health, safety and the environment—to cope with the inherently higher risks due to live inventory, lack of space, simultaneous operations and increased personnel; interface with operations—to plan, manage and minimise disruption to production; live systems—to assess the impact/disruption to energised systems and coordinate tie-ins; production—to minimise disruption and ensure that the project is executed safely while production continues; hot work—to a minimum and where necessary contain naked flame and spark activity on site; integrity—to ensure the condition of the asset is well understood and any sub-system upgrades to accommodate the modification are identified; limited space—to accommodate temporary project facilities, minimising the impact on operations and maintenance activities; and, access—to ensure that the project is planned to lessen disruption, maximise off-site preparation and to minimise on-site construction. Systematic program management, project engineering, and a tiered engineering approach are essential to cost effective and timely delivery. For each of the eight key areas we detail some of the subtle and enabling strategies/tools that distinguish brownfield project delivery from greenfield.

Towards Consistent Value Orientation in Release Planning

2019 ◽  
Author(s):  
Tarık Şahin ◽  
David Inkermann ◽  
Thomas Vietor
Keyword(s):  
Systems Engineering ◽  
Paradigm Shift ◽  
New Product ◽  
Fast Response ◽  
Value Orientation ◽  
Release Planning ◽  
Product Features ◽  
Current State ◽  
Value Contribution ◽  
The Impact

Abstract Product development is experiencing a paradigm shift under the impact of highly segmented and rapidly evolving markets. The intention to offer successful products in such turbulent conditions forces companies to provide value comprehensively but rapidly. These attempts conceal a high risk of rising product complexities and development efforts. For this reason, the aim of design should be to maintain or improve value contribution according to customer and market demands with fast response time while reducing internal product disruption and development efforts. A proactive planning of continuous value contribution by introducing new product features, while considering the complexity of product structures and corresponding development efforts, is established in the field of release planning. Here, systematic ways are proposed to support the identification and timing of product features to provide value for customers and markets as well as the consideration and planning of according efforts for their realization. However, the literature highlights a need for more consistent value orientation in release planning. For this reason, this contribution aims to present an outline and further steps for consistent value orientation in release planning in the context of systems engineering. Accordingly, this contribution first discusses the significance of consistent value orientation during release planning activities. On this basis, requirements for consistent value orientation in release planning are presented and the respective current state of existing concepts are discussed. Ultimately, a framework towards consistent value orientation in release planning is presented with a concluding outlook for further research.

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