Integrated design, evaluation, and decision making for small satellite design

Abstract A user-oriented product design methodology for integrating design, manufacturing and marketing is proposed and the practical design optimization procedures are constructed and presented. First, market demand analyses are conducted by dividing users into groups based on similarities of users’ needs. The product satisfaction level of each group is formulated using the users’ satisfaction levels for product attributes. Next, in order to obtain optimum design solutions effectively in the integrated decision making processes of design, manufacturing and marketing (which include an enormous number of decision variables), multiphase procedures of design optimization are constructed according to simplicity levels of shape modelings with structural characteristics and manufacturing costs which can be evaluated. Then, practical design decision making procedures from the extraction of design alternatives through the determination of detailed decision variables are described corresponding to multiphase modeling starting with simplified models and advancing to detailed models. Here, the objective function of decision making is to maximize the satisfaction level of product user. Finally, the proposed integrated design optimization method is applied to industrial robots for demonstrating the effectiveness of the method.

Download Full-text

A design—decision support framework for evaluation of design options/proposals using a composite structure methodology based on the approximate reasoning approach and the evidential reasoning method

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering ◽

10.1243/09544080360562990 ◽

2003 ◽

Vol 217 (1) ◽

pp. 59-76 ◽

Cited By ~ 20

Author(s):

H S Sii ◽

J Wang

Keyword(s):

Decision Making ◽

Decision Support ◽

Composite Structure ◽

Evidential Reasoning ◽

Approximate Reasoning ◽

Design Evaluation ◽

Design Decision ◽

Technical Performance ◽

Decision Support Framework ◽

Design Decision Support

With the cost of construction, operation and maintenance estimates in the multi-millions of pounds, the offshore industry is seeking ways of reducing both the time and money spent in providing the high-quality offshore structures needed to support oil and gas extraction and production. Most real world design evaluation and risk-based decision support combine quantitative and qualitative (linguistic) variables. Decision making based on conventional mathematics that combines qualitative and quantitative concepts always exhibits difficulty in the modelling of actual problems. The successful selection process for choosing a design/procurement proposal is based on a high degree of technical integrity, safety levels and low costs in construction, corrective measures, maintenance, operation, inspection, as well as preventive measures. However, the objectives of maximizing the degree of technical performance, maximizing the safety levels and minimizing the costs incurred are usually in conflict, and the evaluation of the technical performance, safety and costs is always associated with uncertainty, especially for a novel system at the initial concept design stage. In this paper, a design—decision support framework using a composite structure methodology grounded in an approximate reasoning approach and an evidential reasoning method is suggested for design evaluation of offshore engineering products at the initial stages. It is a multiple attribute decision-making (MADM) or multiple-criteria decision-making framework, which provides a juxtaposition of cost, safety, and technical performance and other objectives of a system during evaluation to assist decision makers in selecting the winning design/procurement proposal that best satisfies the requirement in hand. It has also been shown that the formal decision-making techniques such as the Analytical Hierarchy Process (AHP) and the Delphi method can be incorporated with the proposed framework in carrying out design support evaluation. An illustrative example is used to demonstrate the application of the proposed framework.

Download Full-text

Development of a Weight Factor Method for Sustainability Decisions in Building Renovation. Case Study Using Renobuild

Sustainability ◽

10.3390/su12177194 ◽

2020 ◽

Vol 12 (17) ◽

pp. 7194

Author(s):

Alaa Khadra ◽

Mårten Hugosson ◽

Jan Akander ◽

Jonn Are Myhren

Keyword(s):

Decision Making ◽

Integrated Design ◽

Decision Makers ◽

The European Union ◽

Building Stock ◽

Existing Building ◽

Ecological Aspects ◽

Decision Making Processes ◽

Integrated Design Process

Energy efficiency investments have become strategically important for the European Union. In particular, energy efficient renovation and investment in the existing building stock have become major challenges. Renovation of a building should involve a holistic and integrated design process, which considers all aspects of sustainability. The aim of this work is to suggest a mathematical model that weighs economic, social and ecological aspects into a measure that supports housing owners/decision makers to find the optimal renovation alternative from their perspective, taking factors such as budget, energy consumption, etc. into consideration. Multi-criteria decision-making (MCDM) concerns structuring and solving multiple-criteria decision problems. MCDM has become popular in energy planning as it enables the decision maker to pay attention to all the criteria available and make the appropriate decision as per the priority of the criteria. In this study, the concept is introduced based on economic, social and ecological aspects assessed during a renovation project. A pedagogical example illustrates the suggested numerical system for comparing different renovation alternatives. The suggested method will facilitate decision-making processes in renovation projects and will allow decision makers to choose the best renovation alternatives that are in line with their business ideas and principles.

Download Full-text