scholarly journals ASSESSING THE FUTURE: METHODS AND CRITERIA

2020 ◽  
Vol 1 ◽  
pp. 569-576
Author(s):  
I. Gräßler ◽  
H. Thiele ◽  
P. Scholle
Keyword(s):  
Decision Support ◽  
Product Development ◽  
Decision Support Tool ◽  
Literature Study ◽  
Time To Market ◽  
Support Tool ◽  
Corporate Foresight ◽  
Different Types ◽  
The Future ◽  
Future Work

AbstractAs time-to-market is getting shorter, customer needs have to be identified as early as possible in product development. Correctly applied, corporate foresight can give a glimpse into the future to anticipate such needs and thus gain a competitive advantage. A support tool to choose the appropriate method of foresight is not available yet. Thus, a literature study on foresight methods in industry is performed and a novel decision support tool is proposed which avoids high entrepreneurial risks. Based on the findings, potentials for future work are identified for different types of methods.

scholarly journals تصميم نموذج دعم قرار الاستبدال باستعمال المحاكاة

2008 ◽  
Vol 2 (6) ◽  
Author(s):  
صباح مجيد النجار ◽  
فيحاء عبدالله يعقوب ◽  
هالة حمد ماجود
Keyword(s):  
Decision Support ◽  
Linear Relationship ◽  
Significant Relationship ◽  
Quantitative Method ◽  
Random Variable ◽  
Decision Support Tool ◽  
Productive Capacity ◽  
Support Tool ◽  
The Future ◽  
Replacement Decisions

Analysis of decisions regarding the replacement of old production         equipments and technologies with new ones includes defining the required productive capacity levels and provision of the necessary financial needs to purchase them. Researchers have submitted a set of methods that deal with the problems of replacement, which were based on a set of assumptions. They sometimes hypothesized the consistency of the productive age of equipments, and elsewhere they were limited to the treatment of single equipment. Such assumptions make these methods irrelevant for making the replacement decisions especially those equipments whose age is a random variable such transport buses. Thus the researchers attempted to build a quantitative method characterized by flexibility to simulate the operation of bus replacement in the future. The results of the simulation were used to test the correlation between the number of replacements and the planned age of the productive equipments (the buses). The test revealed that there is no significant relationship between the number of replacements and the planned age of the equipments, in other words the destiny of the transport bus is independent of its planned age, and that the need for replacement is not characterized by a linear relationship with the planned age of the equipment. The research recommends the adoption of  the Replacement  Decision Support Tool developed in this study for analyzing the replacement decisions due to the nature of the outputs provided by the model  which supply the user with the basic themes for analyzing the replacement decisions

A Decision Support Tool for Evaluating Big Data Investment in Transport: Empirical evidence from European use cases of NOESIS project

2020 ◽  
Author(s):  
Christos Katrakazas ◽  
Natalia Sobrino ◽  
Ilias Trochidis ◽  
Jose Manuel Vassallo ◽  
Stratos Arampatzis ◽  
...  
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Empirical Evidence ◽  
Decision Support Tool ◽  
Use Cases ◽  
Support Tool
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