Methodology of life cycle cost with risk expenditure for offshore process at conceptual design stage

Energy ◽  
2011 ◽  
Vol 36 (3) ◽  
pp. 1554-1563 ◽  
Author(s):  
Kiil Nam ◽  
Daejun Chang ◽  
Kwangpil Chang ◽  
Taejin Rhee ◽  
In-Beum Lee
Keyword(s):  
Life Cycle ◽  
Conceptual Design ◽  
Life Cycle Cost ◽  
Design Stage ◽  
Conceptual Design Stage

Life Cycle Design and Evaluation at Conceptual Design Stage Using Digraph and Matrix Approach

2006 ◽  
Author(s):  
M. F. Wani
Keyword(s):  
Life Cycle ◽  
Conceptual Design ◽  
Design Stage ◽  
Matrix Approach ◽  
System A ◽  
Conceptual Design Stage ◽  
Life Cycle Design ◽  
The Matrix ◽  
System Nodes ◽  
Digraph And Matrix Approach

In this paper, a procedure based on digraph and matrix approach is presented for carrying out life cycle design and evaluation of mechanical systems, at system conceptual design stage. Features which characterize life cycle aspects of the system are identified and are called attributes of life cycle of a the system. Consideration of these attributes and their interrelations are rudiment in design and evaluation of life cycle of the system. This is modeled in terms of life cycle Design (LCD) attributes digraph for the system. Nodes in the digraph represent attributes and their relations are represented by their edges. The digraph is represented by one-to-one matrix for development of life cycle design (LCD) expression, which is characteristics of the system. A variable life cycle design attributes permanent matrix is defined to develop VPF-d which is also useful in comparing two design concepts of the system. Life cycle design Index (LCD-I) is obtained from permanent of the matrix or from the LCD expression by substituting numerical values of the attributes and their interrelations. A higher value of the index implies good LCD of the system. The ideal value of LCD index (III) is also obtained from the matrix expression, which is useful in assessing the relative LCD, of the system alternatives. The procedure is useful in design and development of LCD of the system. A step by step procedure for evaluation of LCD index is also suggested and is illustrated by means of an example.

Diagnosability Modeling and Diagnosability Evaluation of Mechanical System at Conceptual Design Stage

2006 ◽  
Author(s):  
M. F. Wani ◽  
Mohammad Ummar
Keyword(s):  
Mechanical System ◽  
Conceptual Design ◽  
Life Cycle Cost ◽  
Performance Monitoring ◽  
Mechanical Systems ◽  
Point Of View ◽  
Design Concept ◽  
Design Stage ◽  
Conceptual Design Stage ◽  
The Relationship

Reliability, availability and maintainability (RAM) of mechanical system plays a significant role in decreasing the life cycle cost of product. It is well known fact that reliability and maintainability of mechanical systems depends to a large extent on diagnosability of mechanical system, i.e., systems with higher diagnosability, not only helps in reducing the failure of the system at operational stage, but will also help in identification and isolation of faulty components of the system in quick possible time. However, to reap maximum benefits of it is inevitable to consider the design for diagnosability of mechanical systems right from conceptual design stage. For the implementation of the same, designer should be provided with suitable and efficient tool for carrying out diagnosability design and evaluation at conceptual design stage. In this paper, a methodology is developed for carrying out diagnosability of mechanical systems at conceptual design stage. At conceptual design stage designer is well versed with the functional and structural hierarchies of the product. The relationship between the components and functions are used to determine the relationship between the components/assemblies and their performance monitoring parameters (PMP). These are modeled in terms of fuzzy diagnosability bipartite graph (FDBG). FDBG is transformed into fuzzy diagnosability matrix (FDM). The FDM represents the fuzzy relationship between the components and PMP. Diagnosability of the system design concept is evaluated in terms of diagnosability index (IDN) which is obtained from the normalized matrix by using −plog2p. First of all the system which has lowest diagnosability is evaluated from normalized FDM (derived by considering relationship value of 1 between components and PMP). Then reference diagnosability value is obtained from this matrix by using −plog2p and this is represented by DP, ref. FDM for design concept is obtained from the relationship between the components and the PMP. DPN of the design concept is also obtained. Diagnosability index (IDN) of the design concept is then obtained by the ratio of (DP, ref − DPN)/ DP, ref. The higher value of IDN means higher diagnosability and its lower value means lower diagnosability. Component which has lowest diagnosability is also identified, i.e., which has highest functional relationship. This provides guidelines to designer not only for the improvement of design from diagnosability point of view, but also helps in evaluation of dignosability at system conceptual design stage.

A Web-Based Process/Material Advisory System

2000 ◽  
Author(s):  
Yusheng Chen ◽  
Satyandra K. Gupta ◽  
Shaw Feng
Keyword(s):  
Conceptual Design ◽  
Cost Effective ◽  
Design Stage ◽  
Material Combination ◽  
Web Based ◽  
Advisory System ◽  
Conceptual Design Stage ◽  
Design Requirements ◽  
Parameter Ranges ◽  
Process Material

Abstract This paper describes a web-based process/material advisory system that can be used during conceptual design. Given a set of design requirements for a part during conceptual design stage, our system produces process sequences that can meet the design requirements. Quite often during conceptual design stage, design requirements are not precisely defined. Therefore, we allow users to describe design requirements in terms of parameter ranges. Parameter ranges are used to capture uncertainties in design requirements. Our system accounts for uncertainties in design requirements in generating and evaluating process/material combinations. Our system uses a two step algorithm. During the first step, we generate a material/process option tree. This tree represents various process/material options that can be used to meet the given set of design requirements. During the second step, we evaluate various alternative process/material options using a depth first branch and bound algorithm to identify and recommend the least expensive process/material combination to the designer. Our system can be accessed on the World Wide Web using a standard browser. Our system allows designs to consider a wide variety of process/material options during the conceptual design stage and allows them to find the most cost-effective combination. By selecting the process/material combination during the early design stages, designers can ensure that the detailed design is compatible with all of the process constraints for the selected process.

scholarly journals Retrieval of Semantic-Based Inspirational Sources for Emotional Design

2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Jian Du ◽  
Yan Li ◽  
Jinlong Ma ◽  
Yan Xiong ◽  
Wenqiang Li
Keyword(s):  
Conceptual Design ◽  
Creative Thinking ◽  
Activation Mechanism ◽  
Design Stage ◽  
Emotional Design ◽  
Semantic Richness ◽  
Retrieval Systems ◽  
Conceptual Design Stage ◽  
Semantic Techniques ◽  
Semantic Expansion

In the conceptual design stage, inspirational sources play an important role in designers’ creative thinking. This paper proposes a retrieval method for semantic-based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design. The core principle involves solving the designer’s own deficiencies in associations and limited knowledge, by bridging the “semantic gap” faced by designers when they use Kansei words for inspirational sources. This method can be divided into two aspects: (1) based on the semantic richness of Kansei words, the first part describes how a lexical ontology for Kansei words called KanseiNet is constructed and proposes a spreading activation mechanism based on KanseiNet to complete the semantic expansion of Kansei words; (2) the second part describes how, using existing semantic techniques, relevant design website resources are crawled and analyzed, images’ context descriptions and Kansei evaluations are extracted, and Kansei evaluation index of inspirational images is established. The KanseiNet for Chinese is first constructed, and the Sources of Inspiration Retrieval System for Emotional Design (SIRSED) is developed. An experiment comparing the existing image retrieval systems with SIRSED proved the latter to be a more comprehensive and accurate way for designers to access inspirational sources.

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