Engineering Decision Support System (EDSS)

Author(s):  
Derald Herling ◽  
David G. Ullman ◽  
Bruce D’Ambrosio

Abstract Engineers, as well as other decision makers, are required to make many decisions as they are designing a product or resolving a problem. At these decision points there are many alternatives and criteria to be considered. Studies of design sessions show that most decisions made during these times are in an ad hoc manner. Greater understanding of the mechanical design process, data representation for collaborative design and probabilistic inferences have allowed the creation of a computer decision support program, called Engineering Decision Support System (EDSS), that addresses the special needs of design engineers.1 This paper introduces this work, which is still in the developmental stages.

2004 ◽  
Vol 20 (03) ◽  
pp. 147-163
Author(s):  
Osman Turan ◽  
Selim Alkaner ◽  
Aykut i. Ölçer

Ship design today can be viewed as an ad hoc process. It must be considered in the context of integration with other design development activities, such as production, costing, quality control, and so forth. Otherwise, it is possible for the designer to design a ship that is difficult to produce, requires high material or labor cost, or contains some design flaws that the production engineers have to correct or send back for redesigning before production can be done. Any adjustment required after the design stage will result in a penalty of extra time or cost. Deficiencies in the design of a ship will influence the succeeding stages of production. In addition to designing a ship that fulfills producibility requirements, it is also desirable to design a ship that satisfies risk, performance, cost, and customer requirements criteria. More recently, environmental concerns, safety, passenger comfort, and life-cycle issues are becoming essential parts of the current shipbuilding industry. Therefore, "design for X paradigm" should also be considered during the ship design stages. An integrated multiple attributive decision support system for producibility evaluation in ship design (PRODEVIS) is developed to use by industry and researchers in evaluating the producibility of competing ship designs and design features during the early stages of ship design by taking into account cost, performance, risk, and "design for X paradigm" attributes. This developed approach is a fuzzy multiple attributive group decision-making methodology where feasible design alternatives are conducted by a ship production simulation technique. In this approach, an attribute-based aggregation technique for a heterogeneous group of experts is employed and used for dealing with fuzzy opinion aggregation for the subjective attributes of the ship design evaluation problem. The developed methodology is illustrated with a case study.


Author(s):  
LAN YI ◽  
HYWEL R. THOMAS

Information and communication technologies (ICT) and e-business are affecting our economic progress, social development, and the environment profoundly and in a complex manner. As an emerging field of research, significant interests have been aroused but quantitative studies are rather limited. Traditional systematic approaches for impact studies have been found to be insufficient to deal with this research topic. In order to further explore the relationship between ICT/e-business and the environment, the approach adopted in this study aimed to simulate how ICT/e-business indicators interact with environmental indicators quantitatively. Owing to lack of data and information in the current area in government bodies/councils/research institutes, two questionnaire surveys were conducted. Details of the data collection progress are provided. An artificial neural network (ANN) approach, embedded in a more predictive and empirical model, is suggested herein as a new methodology and possible solution. Furthermore an expert decision support system (EDSS), built around these neural networks with a user-friendly interface and being able to post-process data to information, is developed. The system could be used, for example, by an individual company to analyze how its ICT/e-business adoptions influence its environmental performance.


2009 ◽  
Vol 25 (03) ◽  
pp. 161-167
Author(s):  
Charalambia Pylarinou ◽  
Nikos Karacapilidis ◽  
Emmanuel D. Adamides

Aiming to augment the quality of decision making in vessel dismantling, this paper presents an innovative decision support system that takes into account the diversity of the associated constraints to aid stakeholders handle issues such as the appropriateness of a disposal methodology or the level of safety in a dismantling yard. Being seamlessly integrated with an advanced simulation environment, the system also facilitates the collaborative design of dismantling processes.


2006 ◽  
Vol 2 (3) ◽  
pp. 223-235 ◽  
Author(s):  
Patrick Person ◽  
Hadhoum Boukachour ◽  
Michel Coletta ◽  
Thierry Galinho ◽  
Frédéric Serin

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