Reducing Excess Requirements Through Orthogonal Categorizations During Problem Formulation: Results of a Factorial Experiment

Multi-criteria analysis is widely used to solve various technical and economic problems. There are a large number of applications of multi-criteria analysis. Methods for evaluating the total set of criteria have been investigated. However, the selection of criteria for various specific tasks remains the prerogative of specialists in the relevant branches. The goal of this study was to implement a multi-criteria analysis for assessing the potential of renewable energy sources' competitiveness. Renewable energy sources also include a closed nuclear fuel cycle based on fast-neutron reactors. The advantage of such cycle is the reproduction of nuclear fuel in the same or even greater quantity than it was used. At the same time, uranium isotopes are involved in the cycle, which are waste in conventional nuclear generation. The disadvantage of a nuclear fuel cycle is an output of hazardous waste and a complex technology for its processing. This task is a strategic one, and economic reason is not sufficient in this case. A structure of criteria for strategic decision making was compiled, and eight groups of main criteria were created. An expert analysis of the criteria was carried out and their relative significance was determined. Results. The significance of economic, environmental, technological and safety criteria is revealed. The formulae for criteria normalizing to apply the integration were proposed. Preliminary multi-criteria analysis has shown that a closed nuclear fuel cycle can compete with renewable energy sources such as wind and solar power plants.

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“…A set of criteria for solution's estimate must satisfy certain properties [23]. The full life cycle of the object must be considered.…”

Section: Methodsmentioning

confidence: 99%

Using multi-criteria analysis to select an energy source

2020

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“…The content of this section has been extracted from [46,47]. The present research proposed a system-centric categorization of requirements based on the concept of partition in set theory that achieves several objectives: (1) completely define a system, (2) identify requirements that are not applicable to the system, and (3) identify constraints that do not support satisfaction of stakeholder needs.…”

Section: A Eliciting Less Constraintsmentioning

confidence: 99%

A Research on Measuring and Reducing Problem Complexity to Increase System Affordability: From Theory to Practice

Salado¹,

Nilchiani²

2015

Procedia Computer Science

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Requirement engineering is the cornerstone of systems engineering. Numerous large scale engineered systems face schedule delays, cost overruns and performance shortfalls that can be traced back to the requirements they need to fulfill. In fact, previous research has demonstrated strong relationship between requirements and systems affordability. This paper summarizes and puts into context the authors' novel contributions in three domains of requirements engineering: systems theory, complexity science, and systems methodologies. The authors propose new theorems and their proofs on requirements affecting affordability, propose a new complexity metric at requirement stage that measures the complexity limit of the system at conceptual stage (even before a specific design is determined), and propose two methodologies to elicit excess-free requirement sets and to identify conflicting requirements more effectively. The paper showcases the value of structuring a research in such a manner, i.e. from theory to practice, enabling strengthening the bounds between theorists and practitioners.

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“…Yet, the inability to formulate the right requirements right remains a prevalent issue in the practice of systems engineering 7 . I contend that the disparity in the understanding and use of several requirements engineering concepts is one of the factors causing this issue 8–10 …”

Section: Introductionmentioning

confidence: 99%

“…7 I contend that the disparity in the understanding and use of several requirements engineering concepts is one of the factors causing this issue. [8][9][10] For example, stakeholder needs, system requirements, requirements elicitation, requirements derivation, and requirements decomposition are fundamental concepts in systems engineering. 1,2,[11][12][13] However, they are used inconsistently within the communities of practice and in research (as shown in Section 2).…”

Section: Introductionmentioning

confidence: 99%

A systems‐theoretic articulation of stakeholder needs and system requirements

Salado

2021

Systems Engineering

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The literature shows disparities in how fundamental systems engineering concepts in the area of requirements engineering, such as stakeholder needs, system requirements, requirements elicitation, requirements derivation, and requirements decomposition, are used within the communities‐of‐practice and in research. Such disparities can lead to conceptual and application inconsistencies, which have been shown to contribute to the formulation of poor requirements. In this paper, such concepts are articulated using systems theory as the underlying theoretical framework. The concepts of problem space, solution space, open system, and closed system are central to this work. It is argued that the proposed articulations facilitate avoiding usage disparity, ultimately resulting in better formulation of requirements. These articulations are supported by in‐depth examples that comprehensively cover different types of needs and requirements, and provide step‐by‐step insights into how elicitation, derivation, and decomposition occur within a problem formulation effort.

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Reducing Excess Requirements Through Orthogonal Categorizations During Problem Formulation: Results of a Factorial Experiment

Cited by 14 publications

References 28 publications

Using multi-criteria analysis to select an energy source

Using multi-criteria analysis to select an energy source

A Research on Measuring and Reducing Problem Complexity to Increase System Affordability: From Theory to Practice

A systems‐theoretic articulation of stakeholder needs and system requirements

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