Defence Acquisition Decision Support Through Design Systems Modelling and Exploration

2000 ◽  
Author(s):  
Warren F. Smith ◽  
Stephen R. Hoadley ◽  
Nicholas J. Moyle
Keyword(s):  
Decision Support ◽  
Case Studies ◽  
Systems Approach ◽  
Design Decision ◽  
Professional Experiences ◽  
Systems Modelling ◽  
Design Systems ◽  
Reliable Design ◽  
Acquisition Processes ◽  
Decision Based Design

Abstract In this paper, two case studies are highlighted that relate to hypothetical decision support in the acquisition of major defence systems through design systems modelling and exploration. With defence acquisition processes becoming more global, the professional experiences of the “detailed systems designer” and the “client specifier / evaluator” are diverging. However, the notion of the client being an informed customer pervades and making right judgements in writing specifications and evaluating tenders relies on reliable design decision modelling and exploration. In providing design decision support to the acquisition organisation, we subscribe to and have applied the paradigm of “decision-based design” using the constructs of the Decision Support Problem Technique (DSPT). The technique offers a holistic systems approach that is flexible, adaptable and able to cope with change.

Ontology-based executable design decision template representation and reuse

2016 ◽  
Vol 30 (4) ◽  
pp. 390-405 ◽  
Author(s):  
Zhenjun Ming ◽  
Yan Yan ◽  
Guoxin Wang ◽  
Jitesh H. Panchal ◽  
Chung-Hyun Goh ◽  
...  
Keyword(s):  
Decision Support ◽  
Pressure Vessel ◽  
Design Decision ◽  
Consistency Checking ◽  
Analysis And Design ◽  
Effective Decision ◽  
Effective Decision Support ◽  
Multiobjective Design ◽  
Decision Based Design

AbstractIn decision-based design, the principal role of a designer is to make decisions. Decision support is crucial to augment this role. In this paper, we present an ontology that provides decision support from both the “construct” and the “information” perspectives that address the gap that existing research focus on these two perspectives separately and cannot provide effective decision support. The decision support construct in the ontology is the compromise decision support problem (cDSP) that is used to make multiobjective design decisions. The information for decision making is archived as cDSP templates and represented using frame-based ontology for facilitating reuse, consistency maintaining, and rapid execution. In order to facilitate designers’ effective reuse of the populated cDSP templates ontology instances, we identified three types of modification that can be made when design consideration evolves. In our earlier work, part of the utilization (consistency checking) of the ontology has been demonstrated through a thin-walled pressure vessel redesign example. In this paper, we comprehensively present the ontology utilization including consistency checking, trade-off analysis, and design space visualization based on the pressure vessel example.

SCALABLE AND QUANTITATIVE DECISION SUPPORT FOR THE INITIAL BUILDING DESIGN STAGES OF REFURBISHMENT

2019 ◽  
Vol 14 (4) ◽  
pp. 35-56
Author(s):  
Sarah C. Andersen ◽  
Kathrine L. Møller ◽  
Simon W. Jørgensen ◽  
Lotte B. Jensen ◽  
Morten Birkved
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Case Studies ◽  
Multicriteria Decision Making ◽  
Building Design ◽  
Building Industry ◽  
Design Decision ◽  
Mathematical Methods ◽  
Technical Parameters ◽  
Mcdm Method

Decision-making within the building industry often involves various criteria of very different natures. Some are qualitative, others quantitative, some are objective, others subjective, but ultimately, they should all be aggregated and handled holistically in order to support decision-making. This process can also be referred to as multicriteria decision-making (MCDM). Some aspects of MCDM are often conducted unconsciously and non-transparently. By implementing mathematical methods that have been proved applicable for MCDM, multi-criteria decision-making processes can be handled more consciously and transparently and thus be made reproducible. The calculation method presented allows quantitative sustainability and qualitative indicator values to be accounted for with the level of importance desired. The MCDM method used is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). As the model has already been described well in the scientific literature and is used frequently, the aim is to illustrate how TOPSIS can be applied for transparent decision-making within the building industry in the context of urban renewal and refurbishment schemes through case studies of various scales and descriptions. The case studies focused on in this paper incorporate a variety of specific prechosen criteria, including environmental performance, functional parameters and technical parameters. The case studies cover different parameters of refurbishment in a major hospital compound in Denmark due to be taken out of operation. One central design decision is whether to refurbish or demolish the old hospital buildings. The results reveal that decision support is first of all dependent on how the decision-making tool is applied and what choices are made in relation to the actual calculations. However, by implementing a mathematically based MCDM method like that being assessed in the case studies presented, the decisions and their arguments become transparent and are easily communicated within a project group. As a result, the tool is considered to be universally applicable across most decision-making contexts within the building industry.

Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Customer Loyalty ◽  
Design Decision ◽  
Web Based ◽  
Business World ◽  
Election System ◽  
Simple Additive Weighting ◽  
The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

scholarly journals Responsible innovation, anticipation and responsiveness: case studies of algorithms in decision support in justice and security, and an exploration of potential, unintended, undesirable, higher-order effects

AI and Ethics ◽  
2021 ◽  
Author(s):  
Marc Steen ◽  
Tjerk Timan ◽  
Ibo van de Poel
Keyword(s):  
Decision Support ◽  
Case Studies ◽  
Personal Data ◽  
Higher Order ◽  
Popular Media ◽  
Responsible Innovation ◽  
Order Effects ◽  
Key Dimensions ◽  
Higher Order Effects

AbstractThe collection and use of personal data on citizens in the design and deployment of algorithms in the domain of justice and security is a sensitive topic. Values like fairness, autonomy, privacy, accuracy, transparency and property are at stake. Negative examples of algorithms that propagate or exacerbate biases, inequalities or injustices have received ample attention, both in academia and in popular media. To supplement this view, we will discuss two positive examples of Responsible Innovation (RI): the design and deployment of algorithms in decision support, with good intentions and careful approaches. We then explore potential, unintended, undesirable, higher-order effects of algorithms—effects that may occur despite good intentions and careful approaches. We do that by engaging with anticipation and responsiveness, two key dimensions of Responsible Innovation. We close the paper with proposing a framework and a series of tentative recommendations to promote anticipation and responsiveness in the design and deployment of algorithms in decision support in the domain of justice and security.

scholarly journals FAILURE ANALYSIS AND REDESIGNING OF INTERNAL FIXATION SCREWS

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Seshasai Srihari Hanuma Ravinuthala ◽  
B Sai Sri Harshita
Keyword(s):  
Failure Analysis ◽  
Internal Fixation ◽  
Case Studies ◽  
Living Organism ◽  
Operational Procedure ◽  
Fixation Screw ◽  
Quality Checks ◽  
Reliable Design ◽  
Living Organisms ◽  
Operational Failure

Its highly impossible for false proofing the super structures or mechanisms or the metallurgical methods after installation so they are perfectly engineered and dispatched only after a series of quality checks which has a proper methodology. If this is the scenario with the non living structure's components if they were engineered without errors. There must be some more intensity with the living organisms. living organisms are not engineered but the engineering of the ailments or aids which support the life of living organism must be error free and perfect also must be ready to use. In this context it's pity that there is no perfect operational procedure for internal fixation of fractures this thesis Is focused on that area and aimed to derive a reliable design of internal fixation screw which is designed in contrast with conventional screw This project is stimulation out from two case studies of operational failure implant removal.

Sign in / Sign up

Export Citation Format

Share Document