scholarly journals A new focus on risk reduction: an ad hoc decision support system for humanitarian relief logistics

2015 ◽  
Vol 1 (3) ◽  
pp. 1-11 ◽  
Author(s):  
Frank Schätter ◽  
Marcus Wiens ◽  
Frank Schultmann
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Risk Reduction ◽  
Support System ◽  
Ad Hoc ◽  
Humanitarian Relief

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.

scholarly journals A hybrid decision support system for managing humanitarian relief chains

2017 ◽  
Vol 95 ◽  
pp. 12-26 ◽  
Author(s):  
Navid Sahebjamnia ◽  
S. Ali Torabi ◽  
S. Afshin Mansouri
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Humanitarian Relief

scholarly journals A literature review: model of disaster risk reduction for decision support system

2021 ◽  
Vol 331 ◽  
pp. 04011
Author(s):  
Soetjipto Jojok Widodo ◽  
Hidayah Entin ◽  
Sholikhah Faizatus
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Risk Reduction ◽  
Support System ◽  
Urban Areas ◽  
Disaster Risk Reduction ◽  
Human Life ◽  
Disaster Risk ◽  
Review Model ◽  
The Right

Disaster is a threat to human life. Many losses are caused by disasters, namely loss of life, injured people, loss of homes, and others. In addition, the frequency and intensity of disasters are also increasing every year. Therefore, research on Disaster Risk Reduction (DRR) is needed both to reduce disaster risk and to manage the disaster. The purpose of this research is to develop an appropriate DRR model in an area to assist decision-making in making policy. This research was compiled based on literature studies from various reputable journals to be used as a reference in the preparation of the right model. Then proceed with the development of a framework to model an efficient and effective DRR. The steps for making a holistic DRR model have been identified and the test design for the model has been determined, namely simulation, validation, and scenario. The recommendation given from this study is the preparation of a DSS (Decision Support System) as a tool for decision-makers to make policies regarding DRR-based regional development. This discussion will be continued in the next research by including case studies in certain urban areas.

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