scholarly journals Towards a BIM-Based Decision Support System for Integrating Whole Life Cost Estimation into Design Development

2020 ◽  
pp. 197-206
Author(s):  
Mariangela Zanni ◽  
Tim Sharpe ◽  
Philipp Lammers ◽  
Leo Arnold ◽  
James Pickard
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cost Estimation ◽  
Design Development ◽  
Whole Life Cost

Integrated Multiple Attributive Decision Support System for Producibility Evaluation in Ship Design

2004 ◽  
Vol 20 (03) ◽  
pp. 147-163
Author(s):  
Osman Turan ◽  
Selim Alkaner ◽  
Aykut i. Ölçer
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ad Hoc ◽  
Labor Cost ◽  
Ship Design ◽  
Design Stage ◽  
Design Development ◽  
Shipbuilding Industry ◽  
Design For X

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.

<i>Design, Development and Evaluation of an Open Source Gateway for the SmartFarm Decision Support System.</i>

2018 ◽  
Author(s):  
Caleb Fink ◽  
Bo Liu ◽  
Fletcher Easton ◽  
Chandra Krintz ◽  
Rich Wolski ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Design Development

scholarly journals Decision Support System Design for Wedding Organizer Tradeshow Selection using AHP and TOPSIS

2021 ◽  
Vol 5 (01) ◽  
pp. 12-22
Author(s):  
Rayinda Pramuditya Soesanto ◽  
Afrin Fauzya Rizana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cost Estimation ◽  
Decision Model ◽  
Creative Industries ◽  
Topsis Method ◽  
Ahp Method ◽  
Trade Show ◽  
The Cost

Wedding organizers, as one of the creative industries, often participate in a trade show as one of the marketing mediums. Many wedding-related trades show events are held every year. But the cost to participate in one trade show event is quite expensive and increases from time to time. Thus, before deciding to participate in a trade show, it is important to evaluate whether the trade show events are recommended to join or not. The purpose of this study is to design a decision support system that will help the wedding organizer to decide their participation in a trade show. The decision model was constructed using AHP and TOPSIS methods. There are seven factors considered in the model, i.e., tradeshow location, reputation and professionalism of the organizer, cost estimation, trade show prestige, tenant reputation, time of the event, the attractiveness of the event. By using the AHP method, the priority weight of each factor was calculated. Moreover, the weight obtained will be used in developing a decision model combined with the TOPSIS method. The decision support system was developed afterward by using the SCRUM method. The feature of the system is discussed in the paper.

scholarly journals Construction and Use of a ‘Green Growth’ Tourism Decision Support System: A Multi-Model Approach

2016 ◽  
Vol 20 ◽  
Author(s):  
G Michael McGrath ◽  
Geoffrey H Lipman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Global Economy ◽  
Essential Element ◽  
Strategy Development ◽  
Design Development ◽  
Green Growth ◽  
Research Activity ◽  
Engineering Research

For design, development, implementation and use of an information system (IS) to constitute a valid research activity, the system should support the solution of a non-trivial and important problem and it should be original, drawing on existing theories and knowledge. The design of one such system is described in this paper: specifically, a decision support system (DSS) designed to support the development of ‘Green Growth’ (GG) strategies for Travelism (Travel & Tourism) destinations. A sound GG strategy is important: first, because tourism is a major contributor to the global economy - particularly for developing and island states; second because it represents some 5% of greenhouse gas (GHG) emissions and these are increasing faster than the global norm; and third because the environment is an essential element of destination attractiveness. Thus, the problem domain is certainly non-trivial and important. It is further argued that the design of the DSS artefact described is original and novel in the sense that: i) it supports the entire GG strategy development process (which is actually cyclical); ii) it allows for the sharing of data, functionality and knowledge between different DSS applications and different strategy development exercises in a seamless, integrated manner; and iii) it will be deployed in a global community based program in 2016. System design draws heavily on previous IS, information management and software engineering research; particularly with regard to use of abstraction and interfaces in support of component sharing and reuse.

Economy-energy trade off automation – A decision support system for building design development

2020 ◽  
Vol 30 ◽  
pp. 101222
Author(s):  
Mazdak Nik-Bakht ◽  
Rafaela Orenga Panizza ◽  
Philippe Hudon ◽  
Pierre-Yves Chassain ◽  
Masoud Bashari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Building Design ◽  
Design Development ◽  
Trade Off ◽  
Energy Trade
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