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.

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

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

scholarly journals THE APPLICATION OF DECISION SUPPORT SYSTEM TO IDENTIFY CHILDREN WITH INTELLECTUAL DISABILITIES

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Abdul Salim ◽  
Munawir Yusuf ◽  
Gunarhadi Gunarhadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Intellectual Disabilities ◽  
Support System ◽  
Special School ◽  
School Teachers ◽  
Research Activity ◽  
Central Java ◽  
Inclusive School

The research is intended to measure the accuracy of Decision Support System (DSS) to identify the characteristics of children with intellectual disabilities. A number of 40 teachers in Central Java, Indonesia were assigned as the sample comprising 16 special school teachers and 4 inclusive school teachers. As respondents, these teachers are required to (a) have a training on sofware application of DSS program of identification instrument, (b) have an experience on using DSS program, (c) have full commitment to the research activity. The data was collected from questionnaire and analized by quantitaive description. The reseacrh concluded that DSS program indicated the accuracy of 99,8%, and as many as 92.5% of teachers commented that DSS program was easy to use for identification of children with intellectual disabilities.

scholarly journals Assessment of Supply Chain Agility to Foster Sustainability: Fuzzy-DSS for a Saudi Manufacturing Organization

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 577
Author(s):  
Ateekh Ur Rehman ◽  
Ayoub Al-Zabidi ◽  
Mohammed AlKahtani ◽  
Usama Umer ◽  
Yusuf Siraj Usmani
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Essential Element ◽  
Business Environment ◽  
Term Survival ◽  
Supply Chain Agility ◽  
Manufacturing Organization

Supply chain agility and sustainability is an essential element for the long-term survival and success of a manufacturing organization. Agility is an organization’s ability to respond rapidly to customers’ dynamic demands and volatile market changes. In a dynamic business environment, manufacturing firms demand agility to be evaluated to support any alarming decision. Sustainability is an aspect to sustain collaboration, value creation, and survival of firms under a dynamic competitive business scenario. Agility is a capability that drives competitiveness to foster sustainability aspects. The purpose of this article is to consider and evaluate the supply chain behavior within the context of Saudi enterprises. The efficacy and relevance of this model were explored through a case study conducted in a Saudi dairy manufacturing corporation. Owing to the complexity and a large number of calculations that are required for evaluating the agility of the supply chain, a decision support system was proposed as a tool to assess the supply chain and identifying barriers to a strategic sustainable solution for a specific organizational target. The decision support system is extensive as it contains six separate agility enablers and ninety-three agility attributes for the supply chain. The assessment was carried out using a fuzzy multi-criteria method. It combines the performance rating and importance weight of each agile supply chain-enabler-attribute. To achieve and sustain local and global success, the case organization strove to become a major local and global manufacturer to satisfy its customers, reduce its time to market, lower its total ownership costs, and boost its overall competitiveness through improving its agility across supply chain activities to foster sustainability for a manufacturing organization located in Saudi Arabia.

Lessons Learned from the Design of the Decision Support System Used in the Hurricane Katrina Evacuation Decision

2007 ◽  
Vol 51 (4) ◽  
pp. 253-257 ◽  
Author(s):  
Alex Kirlik
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Hurricane Katrina ◽  
Support System ◽  
Lessons Learned ◽  
Cognitive Engineering ◽  
High Stakes ◽  
Engineering Research ◽  
Design Deficiencies ◽  
Uncertain Time

Computer-based decision support systems are increasingly used to aid human decision makers in dynamic, uncertain, time-stressed and high-stakes contexts. The decision of whether, and if so, when to evacuate New Orleans as Hurricane Katrina approached landfall is a prime example. An evaluation of the “HURREVAC” decision support system (DSS) used during Katrina is presented. The evaluation is based on real-time screen-shots of the graphical and numerical information displayed to emergency response managers and other users. While the system is clearly an improvement over methods used prior to advances in information technology and realtime networking, design deficiencies were identified as well. The most crucial of these concern insufficient resources provided by the design to support users in reasoning effectively about uncertainty, and about the interactions among uncertainty and other aspects of the decision situation. The paper concludes by providing lessons learned and by identifying needs for cognitive engineering research to improve future DSS design in operational contexts.

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