Intelligent Research and Application of Product Image Design Decision Optimization System

A significant problem encountered in the gas turbine industry with fuel products is the degradation of fuel and fuel systems by micro-organisms, which are largely bacteria, embedded in biofilms. These micro-organisms cause system fouling and other degradatory effects, extending often to sudden failure of components with cost implications. Current methods of assessment are only postimpact evaluation and do not necessarily quantify the effects of fuel degradation on engine performance and emission. Therefore, effective models that allow predictive condition monitoring are required for engine's fuel system reliability, especially with readily biodegradable biofuels. The aim of this paper is to introduce the concept of biofouling in gas turbines and the development of a biomathematical model with potentials to predict the extent and assess the effects of microbial growth in fuel systems. The tool takes into account mass balance stoichiometry equations of major biological processes in fuel biofouling. Further development, optimization, and integration with existing Cranfield in-house simulation tools will be carried out to assess the overall engine performance and emission characteristics. This new tool is important for engineering design decision, optimization processes, and analysis of microbial fuel degradation in gas turbine fuels and fuel systems.

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Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering

Applied Sciences ◽

10.3390/app10041198 ◽

2020 ◽

Vol 10 (4) ◽

pp. 1198 ◽

Cited By ~ 1

Author(s):

Lei Xue ◽

Xiao Yi ◽

Ye Zhang

Keyword(s):

Decision Model ◽

Type I ◽

Design Decision ◽

Kansei Engineering ◽

Decision System ◽

Meaningful Improvement ◽

Quantification Theory ◽

Design Elements ◽

Product Image ◽

Qualitative Decision

In order to facilitate the development of product image design, the research proposes the optimized product image design integrated decision system based on Kansei Engineering experiment. The system consists of two sub-models, namely product image design qualitative decision model and quantitative decision model. Firstly, using the product image design qualitative decision model, the influential design elements for the product image are identified based on Quantification Theory Type I. Secondly, the quantitative decision model is utilized to predict the product total image. Grey Relation Analysis (GRA)–Fuzzy logic sub-models of influential design elements are built up separately. After that, utility optimization model is applied to obtain the multi-objective product image. Finally, the product image design integrated decision system is completed to optimize the product image design in the process of product design. A case study of train seat design is given to demonstrate the analysis results. The train seat image design integrated decision system is constructed to determine the product image. This shows the proposed system is effective and for predicting and evaluating the product image. The results provide meaningful improvement for product image design decision.

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The Development of a Model for the Assessment of Bio-Fouling in Gas Turbine System

Volume 2: Aircraft Engine; Coal, Biomass and Alternative Fuels; Cycle Innovations ◽

10.1115/gt2013-95924 ◽

2013 ◽

Author(s):

Tosin Onabanjo ◽

Giuseppina Di Lorenzo ◽

Eric Goodger ◽

Pericles Pilidis

Keyword(s):

Gas Turbine ◽

Gas Turbines ◽

Engine Performance ◽

Design Decision ◽

Performance And Emission ◽

Simulation Tools ◽

Decision Optimization ◽

Post Impact ◽

Effective Models ◽

Cost Implications

A significant problem encountered in the gas turbine industry with fuel products is the degradation of fuel and fuel systems by microorganisms, which are largely bacteria, embedded in biofilms. These microorganisms cause system fouling and other degradatory effects, extending often to sudden failure of components with cost implications. Current methods of assessment are only post-impact evaluation and do not necessarily quantify the effects of fuel degradation on engine performance and emission. Therefore, effective models that allow predictive condition monitoring are required for engine’s fuel system reliability, especially with readily biodegradable biofuels. The aim of this paper is to introduce the concept of bio-fouling in gas turbines and the development of a bio-mathematical model with potentials to predict the extent and assess the effects of microbial growth in fuel systems. The tool takes into account mass balance stoichiometry equations of major biological processes in fuel bio-fouling. Further development, optimization and integration with existing Cranfield in-house simulation tools will be carried out to assess the overall engine performance and emission characteristics. This new tool is important for engineering design decision, optimization processes and analysis of microbial fuel degradation in gas turbine fuels and fuel systems.

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Raw material mix optimization system for sintering plant and blast furnace at CST

Revue de Métallurgie ◽

10.1051/metal:2006157 ◽

2006 ◽

Vol 103 (2) ◽

pp. 76-81

Author(s):

C. Perin Filho ◽

D. Tassinari Miranda ◽

E. Medeiros Milanez ◽

E. Luiz Massanori Harano ◽

E. Torres Bispo dos Santos ◽

...

Keyword(s):

Blast Furnace ◽

Raw Material ◽

Optimization System ◽

Raw Material Mix ◽

Sintering Plant

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Communicating the Value of Design

Conference Proceedings of the Academy for Design Innovation Management ◽

10.33114/adim.2019.04.184 ◽

2019 ◽

Vol 2 (1) ◽

Author(s):

George Edward TORRENS ◽

Nicholas Samuel JOHNSON ◽

Ian STORER

Keyword(s):

Design Decision ◽

Card Sorting ◽

Practical Application ◽

Product Packaging ◽

Sorting Method ◽

Packaging Design ◽

Design Considerations ◽

Modified Delphi ◽

Fast Moving Consumer Goods ◽

Comprehensive Framework

Product packaging design is often produced through the practical application of tacit knowledge, rule of thumb and professional connoisseurship. Stakeholders are becoming increasingly demanding that design practitioners provide clarity of reasoning and accountability for their design proposals. Therefore, a better framework for the design of fast-moving consumer goods (FMCG) is required. This paper proposes a comprehensive taxonomy of ‘design considerations’ to assist the development of low involvement FMCG packaging and aid in rationale communication for design solutions. 302 academic sources were reviewed, inductive content analysis performed to code topics and output validation with academic and industry experts (n=9) through a modified-Delphi card sorting method. The research provides movement towards a comprehensive framework and common dialogue between stakeholders, practitioners and managers to assist in more effectively communicating the value that design can offer to FMCGs. The constructed taxonomy provides a set of 156 ‘design considerations’ to support in objective and informed design decision-making.

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

Register Jurnal Ilmiah Teknologi Sistem Informasi ◽

10.26594/r.v2i1.444 ◽

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.

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