Engineering Support System Research Articles

Model management to support systems engineering workflows using ontology-based knowledge graphs

System engineering has been shifting from document-centric to model-based approaches, where assets are becoming more and more digital. Although digitisation conveys several benefits, it also brings several concerns (e.g., storage and access) and opportunities. In the context of Cyber-Physical Systems (CPS), we have experts from various domains executing complex workflows and manipulating models in a plethora of different formalisms, each with their own methods, techniques and tools. Storing knowledge on these workflows can reduce considerable effort during system development not only to allow their repeatability and replicability but also to access and reason on data generated by their execution. In this work, we propose a framework to manage modelling artefacts generated from workflow executions. The basic workflow concepts, related formalisms and artefacts are formally defined in an ontology specified in OML (Ontology Modelling Language). This ontology enables the construction of a knowledge graph that contains system engineering data to which we can apply reasoning. We also developed several tools to support system engineering during the design of workflows, their enactment, and artefact storage, considering versioning, querying and reasoning on the stored data. These tools also hide the complexity of manipulating the knowledge graph directly. Finally, we have applied our proposed framework in a real-world system development scenario of a drivetrain smart sensor system. Results show that our proposal not only helped the system engineer with fundamental difficulties like storage and versioning but also reduced the time needed to access relevant information and new knowledge that can be inferred from the knowledge graph.

LateSearching for the most energy-efficient composition of a mixture of dimethyl ether and carbon dioxide as an air conditioning system refrigerantr

BACKGROUND: Carbon dioxide can be an alternative refrigerant for vapor compression refrigeration systems, particularly air conditioning systems (ACSs). However, its use suffers from the increased pressure in the refrigeration circuit. To solve this, for its reduction, a mixture of CO2 with a substance that has significantly lower pressures under the same conditions can be developed, for example, dimethyl ether (DME), which has zero GWP and ODP, is inexpensive and readily available. The study of DME, in particular, was conducted by the Department E4 “Refrigeration and Cryogenic Engineering, Air Conditioning and Life Support Systems” of N.E. Bauman Moscow State Technical University. DME is moderately toxic and flammable.
 AIM: This study aims to investigate the possible use of a mixture of DME and carbon dioxide for energy-efficient application in ACSs using commercially available compressors for R410A.
 METHODS: Comparative calculation analysis of the characteristics of a simple one-stage vapor compression cycle was performed using R410A and a mixture of DME and CO2 using the calculation packages Mathcad 15, Aspen HYSYS v. 10, SOLKANE8, and REFPROP.
 RESULTS: 1. The cycle on pure DME is the most effective in terms of the coefficient of performance: ε = 5.63 at an ambient air temperature of 26°C, ε = 3.07 at 40°C. 2. It is necessary to consider the influence of temperature glides, the average value of which ranges from 10°C to 30°C depending on the concentration of components. 3. At DME/CO2 ratios of 40/60% and 60/40% (in mole fraction), the discharge pressure corresponds to the discharge pressure in the R410A cycle, with 39.62 bar at an ambient temperature of 26°C and 37 bar at 40°C, respectively.
 CONCLUSIONS: An environmentally friendly mixture of DME and CO2 with low GWP and zero ODP is developed. An increase in the percentage of DME in the mixture increases the coefficient of performance and reduces the pressure range, and at the same time, significant temperature glides arise, which affects the installation efficiency, namely, the transition to a cycle with a receiver tank, i.e., with a recuperative heat exchanger between the fluorinated refrigerant flow leaving the evaporator and the fluorinated refrigerant flow leaving the condenser. The developed mixture is less efficient than the R410A refrigerant in terms of the coefficient of performance and discharge pressure. However, it is possible to further consider a mixture of DME and CO2 with concentrations of 40% and 60%, respectively, as a replacement for the R410 refrigerant because there is a correspondence of discharge pressures for serial compressors (about 40 bar); however, it is necessary to keep in mind the flammability risk of the mixture.

Development of organizational and technological construction diagrams of railway track facilities with the use of artificial neural networks

The article is devoted to the research of the development procedure of organizational and technological construction diagrams of railway track facilities with the use of artificial neural networks. Organizational and technological diagrams allow to present the construction technological process in a visual form, determine the sequence of the facility erection in parts and methods of work production. In the digitalization conditions of organizational and technological documentation development there is a need for the rapid formation of visual materials for the construction works implementation. It is the visual aspects that allows to effectively assess the development and control of the technological processes implementation. The solution of these problems is possible by improving the existing engineering and technical support system of railway construction through the introduction of an engineering-intellectual support subsystem of technological processes of railway track facilities construction. One of the subsystem’s tasks is the effective use of automation tools with the artificial intelligence elements. The development procedure analysis of organizational and technological diagrams allowed to determine the artificial neural network application possibilities to obtain a visual representation of the technological process taking into account its spatial partitioning into grips. For this purpose the neural network structure, the program module realizing the algorithm of its training, the lists of input data and output parameters were developed. For the neural network training the data sample prepared in advance in the coded format based on the existing organizational and technological diagrams of railway track facilities construction was used. Based on the theoretical study results, practical development aspects of organizational and technological diagrams with the use of neural network on the example of the railway roadbed embankments erection are presented. The results given in the article are obtained in the course of dissertation research carried out by the author.

ИНЖЕНЕРНО-ТЕХНИЧЕСКОЕ ОБЕСПЕЧЕНИЕ АПК В ПРОВИНЦИИ ХЭНАНЬ КИТАЙСКОЙ НАРОДНОЙ РЕСПУБЛИКИ

For the successful conduct of agricultural production, a modern system of its engineering and technical support is needed, performing the material equipping of farms with machines, operational materials, providing high-quality technical service, promoting innovations and providing personnel and information support for production. Similar systems in agriculture in developed countries and Russia have a similar structure and set of functions, and their management mechanism is based on market principles and free relationships with business entities. (Research purpose) The research purpose is analyzing the features of the organization of agricultural production and the system of its engineering and technical support in Henan province, identifying the main differences between the analyzed system and foreign analogues, showing the results of its activities and development prospects. (Materials and methods) Applied analytical and excursion methods, used materials from specialized papers, Internet sites and observations during the excursion and visiting the exhibition. (Results and discussion) It was noted that agriculture in Henan is the basic industry, leading in terms of wheat and rice production in the country. In the region, the current level of mechanization of crop production processes does not exceed 72 percent. It was determined that Chinese specialists are solving innovative tasks to further increase the level of mechanization, automation and intellectualization of production, as well as to reach the world's leading positions in the field of "smart agriculture" after 2035. They showed the organization of engineering and technical support for agricultural production in the province on the basis of territorial agricultural clusters, current achievements in the field of unmanned agricultural machinery. (Conclusions) The economic effect of the organization of the engineering and technical support system is to increase the level of mechanization, in the mass distribution of process automation systems, in the introduction of serial samples of unmanned agricultural machinery.

Maintenance Design of The Main Engine Support Systems on KMP. Kormomolin Under System Dynamics Scheme

The operational activities of the ship's main engine support system elevated the possibility of failure. The main engine support system at KMP. Cormomolin, which belongs to PT. ASDP Indonesia Ferry (Persero), is extremely crucial to the ship's operation. Once the ship is not sailing, maintenance and repair can be handled. The component evaluation engine can be employed to accurately estimate inadequacies in the main support system. Failure Mode Effect and Critical Analysis (FMECA) identifies the root cause of critical component failures such as filters in the fuel system and cooler and sea chest filters in the cooling system. This study generates maintenance recommendations for the main engine support system for five years, including: fuel oil filter maintenance intervals every 151 hours at a cost of IDR 14,169,072, cooler maintenance intervals every 2481 hours at a cost of IDR 16,313,508, and sea chest filter maintenance intervals every 722 hours at a cost of IDR 11,167,152. For the fuel system, the cost care percentage is 81%, and for the cooling system, it is 46% after 5 years.

Monitoring of work execution processes in railway construction using expert technologies

The article presents the abstract theorem and practical options for monitoring the technological process of a railway track object construction using expert technologies. Railway construction as a complex dynamic system requires certain resources for its maintenance. Under these conditions, effective control over the work execution technology performed during the construction of railway track facilities is of decisive importance. This can be achieved by improving the existing engineering and technical support system for railway construction through the introduction of a subsystem for engineering and technological processes intellectual support for the railway facilities construction. One of the subsystem tasks is the effective use of automation tools with elements of artificial intelligence. The appearance of deviations from the planned requirements during the construction work execution, due to the stochastic nature of railway construction, leads to technology violations, a decrease in productivity, an increase in labor costs, prime cost, an increase in duration and, as a result, a deterioration in the railway track object operational characteristics. In order to avoid such a development of events, periodic monitoring of the technological solutions implementation is necessary. To this end, as part of the methodology formation for engineering and intellectual support of railway construction technological processes, a system for monitoring the technological processes implementation for the railway facilities construction has been developed. Monitoring includes three stages: parameters registration, assessment and forecast of the technological process implementation. Taking into account the formalization peculiarities of a number of tasks to be solved, a method for registering the indicators of the technological process implementation on a time interval was developed and described. The results obtained at the assessment stage made it possible to determine the possibilities of using an expert system built on a probabilistic inference model for processing the results of monitoring the work progress during the railway facility construction. The logical inference mechanism is organized on a system of feedback and inference based on probabilistic Bayesian logic. The forecast of the technological process implementation is based on general methodological issues of the Markov random processes application. The predictive model and the method for obtaining quantitative characteristics of the forecast are based on the interpretation of the simplest flow properties in order to analyze the dynamics of changes in its states. Based on the results of a theoretical study, the article presents the practical aspects of monitoring the work execution processes in railway construction using expert technologies on the example of the construction of a flooded railway subgrade roadbed. The results presented in the article were obtained in the course of a dissertation research carried out by the author.

GOST R 70019-2022 — the first profile national standard for steel pipes for housing and communal services

The article discusses the reasons that influenced the development and release of the profile national standard for steel electric-welded pipes for housing and communal services, analyzes the main advantages of the introduction of the standard. The assessment of the current state of engineering and technical support systems, heat, water supply and sanitation networks is given. The normative documentation used in housing and communal services is considered, the problem of pipe falsification is highlighted.

Active Mitigation Strategy of Structure-Borne Vibration with Complex Frequency Spectra from Asymmetric Plate-like Mounting Systems in Next Generation Mobilities

The complicated spectrum produced by electric and hybrid car engines is particularly sensitive to the mid-frequency range. Furthermore, sensor placement in future mobility is crucial because when the positions and orientations of sensors are altered by excessive vehicle vibration, it results in the malfunctioning of autonomous driving systems. Smart structure-based active mounting approaches have been developed to reduce engine-induced vibration. These are made to continually adjust the mounts’ dynamic properties and enhance their performances in terms of noise, vibration, and harshness (NVH) under diverse operating circumstances. It can take the place of the engine support system’s current mount technique. The performance of the source part for reducing vibration when the structure is triggered by a sinusoidal and multi-frequency signal is the main subject of this study. The overall structure, which has two active mounts based on the source-paths-receiver structure, was modeled using a lumped parameter model. In the source section, sinusoidal, amplitude modulation (AM), and frequency modulation (FM) signals were used in order to assess the effectiveness of vibration reduction in the mid-frequency band. The normalized least mean-square (NLMS) technique was utilized to assess the effectiveness of an active mounting system, and a tracking signal was employed as a control signal. The algorithm was further expanded to the multi-NLMS algorithm to monitor the complex spectral signal. This demonstrates how an active mounting system can successfully reduce vibrations when the structure is activated by many mid-frequency complex signals.

ПОДХОДЫ К РЕГУЛИРОВАНИЮ ТАРИФОВ НА ПОДКЛЮЧЕНИЕ ОБЪЕКТОВ КАПИТАЛЬНОГО СТРОИТЕЛЬСТВА К КОММУНАЛЬНОЙ ИНФРАСТРУКТУРЕ

The article presents the issues of tariff regulation of connections (technological connection) of capital construction objects to the city communal infrastructure. Legislative streamlining of the connection of real estate objects under construction to engineering and technical support systems mainly took place according to the sectoral principle, which led to significant differences in the tariffication of connection to different types of engineering systems. This creates problems both for developers and for the development of the engineering infrastructure of the Russian cities. This study aims at analyzing the current situation in the tariff regulation of connections and finding solutions to the identified problems. As part of the work, a questionnaire survey of the administrations of 102 cities was carried out, in which the values ​​of the established tariffs were clarified, different approaches and bottlenecks of the connection practice were determined. As a result, significant differences are revealed in the adopted methodology of tariff regulation of connections for various types of communal infrastructure, a list of problematic issues have been identified which reduce the predictability of developers' costs for connecting to communal infrastructure and have a negative impact on the spatial development of the Russian cities. Further steps are suggested to improve the existing practice of tariff regulation.

INFUS Conference

INFUS (http://infus.itu.edu.tr) is an acronym for Intelligent and Fuzzy Systems. It is an international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing for applied research in general and for complex engineering and decision support systems. The principal mission of INFUS is bridging the gap between fuzzy and intelligence systems and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.

Intellectualization of monitoring and regulation of the technological processes implementation in railway construction

The article presents abstract theorems and practical options for monitoring and regulating the technological process implementation of building a railway track object using artificial intelligence methods and tools. Railway construction as a complex dynamic system requires certain resources for its maintenance. Under these conditions, effective control over the construction work technology is of decisive importance. This can be achieved by improving the existing engineering and technical support system for railway construction through the introduction of an engineering and intellectual support subsystem for technological processes for railway facilities construction. One of the tasks of the subsystem is the effective use of automation tools with artificial intelligence elements. The deviations occurrence from planned requirements during construction work, due to the stochastic nature of railway construction, leads to violations of technology, an increase in labor costs, prime cost, an increase in duration, and as a result, a deterioration in the operational railway facility characteristics. To avoid such a development of events, a prompt review of the adopted technological solutions is necessary. To this end, within the scope of the methodology formation for engineering and intellectual support of railway construction technological processes, a system for monitoring and regulating work production has been developed. Intellectualization of monitoring the technological process implementation consists of the use of an expert system at the evaluation stage, built on a probabilistic inference model. The main purpose of the system is to process the monitoring results of the work progress during the railway track facility construction. The data obtained at the evaluation stage serve as the basis for predicting the implementation of the technological process. The essence of the forecast is based on the solution of general methodological issues of applying Markov processes. The regulation of the process implementation is based on the monitoring results. Adjusting the technological process to changing conditions of work provides flexibility in railway track facilities construction. This is achieved through rapid decision-making using the capabilities of an artificial neural network and subsequent adjustment of the work progress. Based on the theoretical study results, the article presents the practical aspects of monitoring and regulating the production of works in railway construction using intelligent technologies by the example of the construction of a flooded embankment section of a railway subgrade. The results presented in the article were obtained in the course of dissertation research carried out by the author.

Advanced Statistical Methods in Spacecraft Flight Software Cost Estimation: Bayesian Regression and Nonlinear Principal Components Analysis to Support System Engineering in the Early Project Lifecycle

AbstractThis paper provides an overview of the new features and model updates in the upcoming release of the NASA Analogy Software Cost Tool (ASCoT). ASCoT, hosted within the Online NASA Space Estimation Tools (ONSET) on the One NASA Cost Engineering (ONCE) Database, is a web‐based tool that provides a suite of estimation tools to support early lifecycle NASA flight software cost analysis. In addition to the traditional parametric flight software costing method CO‐COMO II, ASCoT contains a Bayesian linear regression to predict total flight software development cost as a function of total spacecraft cost, as well as four analogic methods: k‐Nearest Neighbors (kNN) and Clustering models to predict Effort (in work‐months) and total source lines of code (SLOC). These methods are designed to work primarily with system‐level inputs such as mission type (orbiter, lander, etc.), mission destination (Earth, Inner Planetary, etc.), and the number of instruments and deployables. Nonlinear principal components analysis (NLPCA) is performed to find the principal features of the data composed of both categorical and numerical variables and is necessary prior to defining our analogic methods. Sensitivity analyses and in‐ and out‐of‐sample model performance results are presented for the Bayesian CER and the analogic models.

A decision-making framework for selecting an MBSE language–A case study to ship pilotage

The increasing system complexity due to technological advances in recent decades requires the implementation of Model-Based System Engineering (MBSE) languages. While MBSE languages can support in creating detailed and precise system descriptions, requirements, functions, and component interactions, the development of several modelling languages has formed a challenge for system engineers to select a suitable modelling language for complex operations. Since the implementation of MBSE modelling languages is extensive and requires high resources, system engineers need to select the most suitable one for their project. Furthermore, the prepared system models are utilized by different end-users such as system engineers, operators, and marketing professionals. As a result, it is necessary to integrate the perception of end-users in the modelling language selection process. Hence, a decision-making support framework needs to be developed, which will incorporate the opinions of end-users in the selection process. Correspondingly, this study proposes a Multi-Criteria Decision-Making framework aimed to select the most appropriate and practical modelling language. The framework integrates the end-user’s perception in the selection process using the Technology Acceptance Model and reckons the MBSE language features as comparison criteria. To analyze the data collected from the end-users, integration of Multinomial Process Tree modelling and Bayesian inference is developed. The applicability of the proposed model was tested in a ship pilotage operation case study. The results show that the framework can support system engineers during the initial selection process of the MBSE modelling language.

Научно-технологические предпосылки совершенствования и промышленного освоения малорасходных компрессорных агрегатов на базе длинноходовых поршневых ступеней

An overview analysis of research and development in the field of air and refrigeration low-flow compressors based on low-speed long-stroke piston stages is presented and an assessment of scientific and technological prerequisites for improving their energy efficiency and competitiveness is carried out. Two promising directions are considered in which such compressors can find effective application: increasing the gas pressure from atmospheric pressure to medium and high pressures; implementation of combined processes of compression and condensation of refrigerants in the working chamber of the stage. A number of scientific problems have been proposed and substantiated, the solution of which will make it possible to create competitive compressor units applicable in refrigeration and cryogenic engineering, thermostatting and life support systems, medicine and pharmaceuticals, petrochemical and oil and gas industries, small-scale energy, transport.

A review on modern heat-insulating materials for improving the energy efficiency of buildings and life-support utilities

The main heat engineering characteristics of modern traditional and innovative heat-insulating materials, their advantages, and application fields are considered. Particular attention is paid to liquidceramic heat-insulating materials - thermal paints, which are now actively used for thermal insulation of facades of capital and completed construction projects, engineering and technical life support systems, installations, and separate elements. Interest in the study of this group of building materials is explained by the widespread use of heaters to improve the energy efficiency of civil and industrial buildings, as well as engineering life support systems for various purposes.

Modernization of engineering support of crop cultivation

This paper gives substantiations to a system of effective engineering support of crop cultivation for improving competitiveness of produced goods. Considering the modernization of plant cultivation techniques and technical facilities to carry out agricultural practices, the optimal system of machines for mechanizing crop cultivation was proposed. In substantiating the system of machines, the method of analysis and synthesis of existing and proposed agricultural practices with their engineering support, the methods of modeling and optimization of production processes were proposed to determine the parameters and operating modes of the proposed machines in the system, the planning of a multifactorial experiment according to the BК-plan was used. As a result of the research, the original engineering support system of crop cultivation for lowland agricultural landscapes is proposed, which, according to calculations conducted, allows increasing labor productivity by at least a factor of two. It became possible due to modernization of tillage processes, sowing and harvesting, by combining separate previously technological operations in multifunctional units. The modernization of machine-tractor units was accomplished using original devices for serial machines according to the inventions of the authors. The proposed multifunctional units without a break in time, in a single stream and pace carry out production processes that coincide in calendar terms in the technology of a cultivated agricultural crop, contributing to the quality of work and higher yields.

Public health policy-making for hearing loss: stakeholders\u2019 evaluation of a novel eHealth tool

BackgroundHearing loss (HL) affects 466 million people of all ages worldwide, with a rapidly increasing prevalence, and therefore requires appropriate public health policies. Multi-disciplinary approaches that make use of eHealth services can build the evidence to influence public policy. The European Union-funded project EVOTION developed a platform that is fed with real-time data from hearing aids, a smartphone, and additional clinical data and makes public health policy recommendations based on hypothetical public health policy-making models, a big data engine and decision support system. The present study aimed to evaluate this platform as a new tool to support policy-making for HL.MethodsA total of 23 key stakeholders in the United Kingdom, Croatia, Bulgaria and Poland evaluated the platform according to the Strengths, Weaknesses, Opportunities and Threats methodology.ResultsThere was consensus that the platform, with its advanced technology as well as the amount and variety of data that it can collect, has huge potential to inform commissioning decisions, public health regulations and affect healthcare as a whole. To achieve this, several limitations and external risks need to be addressed and mitigated. Differences between countries highlighted that the EVOTION tool should be used and managed according to local constraints to maximise success.ConclusionOverall, the EVOTION platform can equip HL policy-makers with a novel data-driven tool that can support public health policy-making for HL in the future.

Implementing QFD in decision making for selecting the optimal structural system for buildings

Purpose The purpose of this study is how to use the quality function deployment (QFD) in the construction industry. The study was performed for the owners and decision-makers of a construction company in Egypt, as a sample, and the owners’ requirements. Design/methodology/approach The data collection process and the type of data collected are described in this section. The data used in this study was collected from a questionnaire survey and was quantitatively analyzed using statistical analysis to identify the practices that have a statistically significant correlation with the performance of the design in the structural system of multistory buildings. A structured questionnaire five points Likert scaled based was adopted in this study; the questionnaires were distributed to experts, managers in real estate companies, construction industry-academic experts and advisors. The resulting list of factors, issues and knowledge gaps was subjected to a questionnaire survey for quantitative confirmation and identification of the most important factors, issues and knowledge gaps by distributing the questionnaires to experts, managers in real estate companies, construction industry-academic experts, and advisor to identify ambiguous questions/items and to test the techniques used to collect data. Findings The effect of many internal and external factors that affect on value engineering and decision support systems, such as schedule time, cost, the purpose of the building, availability of materials and environmental, needs to be considered in the structural system for multi-story buildings. The final proposal for the house of quality-chart helps designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings. Also, construction and engineering industries can use the findings from this study as a basis for selecting the optimal structural system for multi-story buildings. The estimating team will be able to accurately make decisions and give recommendations regarding an optimal structural system for multi-story buildings for different activities. Practical implications The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the key performance indicators (KPIs) toward client satisfaction and conduct analytical investigations to facilitate decision-making in a structural system for the multi-story building in Egypt. The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the KPIs toward client satisfaction and conduct analytical investigations to facilitate decision-making in the structural system for the multi-story building in Egypt. Originality/value QFD is a technique that availed in many industries and it is used in evaluating the customer expectations, reflecting this evidence on the product specifications. In recent years, this technique is used also in construction industry projects. It is will help designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings.

Theory and practice of constructive solutions technological justification for railway objects via the use of an expert system

In this article, we present the abstract theorem and the feasibility for the implementation of the technological justification of the structural concept for track railway line objects using the expert system. Railway construction as a complex dynamic system requires certain resources for maintaining it. At the same time, it is characterized by the use of new, more advanced design solutions, materials, and technologies, the performers’ specialization development, and the attendant large number of participants in the technological process. Key role in these conditions gets effective standard operating procedures control, procedures that performed during the railway facilities construction. This can be achieved by improving the existing engineering and technical support system for railway construction by introducing an engineering and intellectual support subsystem for the technological processes of railway facilities construction. One of the tasks of technological processes engineering and intellectual support is the effective use of automated systems with artificial intelligence elements. Creation and implementation of automated systems with artificial intelligence elements are focused on achieving a single final result: a finished railway track facility of the corresponding functional purpose within the established deadlines planned prime cost and labor contribution and also up to date safety requirements throughout the entire operation period. Within the scope of the methodology formation for engineering and intellectual support of railway construction technological processes, the stages of constructive solutions technological substantiation for railway objects were considered, and the railway construction technological features were determined. The procedure for the railway track object decomposition into structural elements is described here. The results obtained at the decomposition stage made it possible to determine the possibilities of using expert systems to develop a technological process for the railway track object construction. With account taken of special factors relating to formalization series of tasks at hand. By the aid of the expert system, which was built based on the knowledge representation production model, was developed and described methodology for generating a construction works nomenclature. Based on theoretical research results, practical aspects of the technological substantiation implementation of design solutions using an expert system were presented here through the example of the railway roadbed flooded carn construction. During dissertation research done by the author, were obtained results that were presented in this article.

Investigating Organization Attributes that Support Systems Engineering Workforce Effectiveness

AbstractThis paper describes a multi‐year effort to understand the attributes of organizations that support systems engineering effectiveness. Using a combination of surveys, interviews, and commercially available culture assessment tools, the research identifies key components of organization culture, structure, governance, process, and tools that enable systems engineers to deliver value in industry and government contexts in the United States and Europe. The results can be used by people to improve effectiveness in their own organizations and to stimulate discussion and action to support effectiveness across the profession.