Decision Making and Decision System Technology

1993 ◽  
Author(s):  
III Sheaves ◽  
William B.
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.


2021 ◽  
pp. 1-10
Author(s):  
Hongjun Jing ◽  
Ping Yao ◽  
Lichen Song ◽  
Jiahao Zhang ◽  
Yanlong Zhao ◽  
...  

With modern economic and social development, the technical and economic requirements of highway maintenance and construction projects have become increasingly complicated. Meticulous and in-depth investigation and demonstration guided by scientific theories and methods are of considerable importance to highway maintenance scheme decision. As basis for the selection of highway asphalt pavement recycling maintenance scheme, the factors influencing the decision are analytically demonstrated and an evaluation system is proposed, including three major decision indexes: applicability of recycling mode, recycled pavement quality recovery index, and economic benefit. According to the principles of data statistics and analysis, this study proposes a calculation method for the recycled pavement quality recovery index, analyzes the economic benefits of decision schemes using economic models such as recycling ratio and cost, and puts forward an optimal evaluation method of engineering cost and its fuzzy score intervals. Index weights are calculated through the analytic hierarchy process, and the comprehensive decision evaluation system and comprehensive evaluation method are established. Subsequently, the decision-making method is analyzed on the basis of the decision system by combining the related data. Results show maximum weight of the pavement quality recovery index and minor differences among four recycling schemes in the quality recovery index and applicability. The decision-making results are simplified with clear hierarchical feature because of the fuzzy score intervals of each index. Findings can provide a reference for the asphalt pavement recycling scheme decision.


Author(s):  
Peter Nuthall

Abstract Over the decades, many researchers have explored the concept of intuition as a decision-making process. However, most of this research does not quantify the important aspects of intuition, making it difficult to fully understand its nature and improve the intuitive process, enabling an efficient method of decision-making. The research described here, through a review of the relevant literature, demystifies intuition as a decision system by isolating the important intuition determining variables and relating them to quantitative intuition research. As most farm decisions are made through intuition, farmers, consultants, researchers and students of farm management will find the review useful, stimulating efforts for improving decision-making skills in farmers. The literature search covered all journals and recent decades and includes articles that consider the variables to be targeted in improving intuitive skill. This provides a basis for thinking about intuition and its improvement within the farming world. It was found from the literature that most of the logical areas that should influence decisions do in fact do so and should be targeted in improving intuition. One of the most important improvement processes is a farmer's self-criticism skills through using a decision diary in conjunction with reflection and consultation leading to improved decisions. This must be in conjunction with understanding, and learning about, the many other variables also impacting on intuitive skill.


2013 ◽  
Vol 5 (4) ◽  
pp. 410-422 ◽  
Author(s):  
Rasa Džiugaitė-Tumėnienė ◽  
Milena Medineckienė

This article presents the evaluation and optimization algorithm of the building energy system. Two main objectives have been achieved: the optimal configuration of the building energy system has been defined, which minimizes the use of non-renewable sources and reduces the environmental impact of the building. Energy demand for the house has been simulated employing DesignBuilder software. Five configurations of technologies for the building energy system have been chosen and simulated applying Polysun software in order to define the seasonal energy efficiency of the generators of each configuration. Multi-criteria decision making methods SAW (Simple Additive Weight), COPRAS (COmplex PRoportion ASsessment) and MEW (Multiplicative Exponential Weighting) have been used for finding the optimal decision on this case study. Article in Lithuanian. Santrauka Pateikiamas mažai energijos vartojančio gyvenamojo namo energetinės sistemos vertinimo ir optimizavimo algoritmas. Šio tyrimo metu, siekiant nustatyti racionalų realiai pritaikomą pastato energetinės sistemos technologijų derinį, įgyvendinti du pagrindiniai tikslai: parinktas derinys, kurį taikant maksimaliai išnaudojami atsinaujinantieji energijos ištekliai ir sumažinamos sistemos išmetamų CO2 dujų emisijos. DesignBuilder kompiuterine programa atliktas energinis modeliavimas pastato energijos reikmėms nustatyti. Esamam gyvenamajam namui parinkti penki energetinės sistemos technologijų deriniai. Atliktas derinių modeliavimas Polysun programa, nustatytas kiekvieno derinio generatoriaus sezoninis energinis efektyvumas. Įvairiapusiškai racionaliam sprendimui priimti buvo taikyti daugiakriterio vertinimo metodai: SAW (Simple Additive Weight), COPRAS (COmplex PRoportion ASsessment) ir MEW (Multiplicative Exponential Weighting).


2018 ◽  
Vol 160 ◽  
pp. 04002
Author(s):  
Hao Chen ◽  
Xinfan Jiang ◽  
Dijun Hu ◽  
Tao Wang ◽  
Fan Zhou

Accident treatment is the most important part in the daily monitoring, and the improvement of the intelligent level is of great significance to improve the efficiency of scheduling accident and shorten the time of the accident. This paper puts forward a set of intelligent power grid accident treatment decision system, introduces the background of the system, the composition module and the realization of functions, to facilitate the operation of the operator to automatically identify the grid failure, isolation and recovery, reduce the pressure of staff, guarantee the safe and stable operation of the power grid.


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