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Pricefx Launches Industry's First AI-powered Market Simulation for Price Optimization

Pricefx Launches Industry s First AI-powered Market Simulation for Price Optimization
Expanding its Next Gen AI capabilities, Pricefx enables businesses to optimize pricing by simulating real impact on customer purchasing behavior
Pricefx, the global leader in cloud-native pricing software, today announced it has released the industry s first AI-powered market simulation solution. Market simulation is designed to enable price optimization in context of the overall product portfolio and the competition. It uses Pricefx Next Gen AI technology to simulate and predict the impact of pricing on customer purchasing behavior. As a result, businesses can make better business decisions informed by predicted impact to accelerate profit growth. ....

Kostenloser Wertpapierhandel , Toby Davidson , Mckinsey Global , Next Gen , Pricefx Next Gen , Chief Product Officer , Pricefx Price , Pricefx Profit , Value Estimation , டோபி டேவிட்சன் , மகிந்ஸீ உலகளாவிய , அடுத்தது கேன் , தலைமை ப்ராடக்ட் அதிகாரி , மதிப்பு மதிப்பீடு ,

Process Systems Enterprise: New gPROMS Process - Process Modelling and Optimization for the Digital World

Process Systems Enterprise: New gPROMS Process - Process Modelling and Optimization for the Digital World
Process Systems Enterprise (PSE), a Siemens business, today released its rebranded gPROMS Process advanced process modelling environment.
Formerly known as gPROMS ProcessBuilder, gPROMS Process 2.0 is the first major release since PSE was acquired by Siemens. Eckard Eberle, CEO of Siemens Digital Industries Process Automation division, says the significantly enhanced capabilities and functionality you see in this release reflect the substantial investment Siemens is making into product development within PSE to provide the process industries with a new generation of digital tools.
Costas Pantelides, PSE CEO and architect of the gPROMS platform, says The name change signifies a break with the past. Until now, ProcessBuilder has been an environment for sophisticated users who are typically running high-value, complex optimizations. This is the first release in a ....

Costas Pantelides , Lylia Djebaili , Kostenloser Wertpapierhandel , Eckard Eberle , Proms Properties , Siemens Digital Industries Process Automation , Systems Enterprise , Applications Platform , ஈகர்ட் எபேரிலே , அமைப்புகள் நிறுவன ,

"Maximizing Sampling Data Upload in Ambient Backscatter Assisted Wirele" by Ying Liu, Kwan Wu Chin et al.

This paper studies a novel problem that aims to maximize the number of uploaded samples by devices in wireless powered Internet of Things (IoTs) networks. To do so, it takes advantage of ambient backscatter communications (AmBC) to help sensor devices conserve energy, and thus leaving them with more energy to collect samples. We outline a Mixed Integer Linear Program (MILP) that aims to determine the operation mode of each device in each time slot in order to maximize the total amount of uploaded samples. We also present a heuristic approach to set the operation mode of devices based on their residual energy and data. Our results show that as compared to the case without AmBC, the total data uploaded by devices increases by 48% and 45% for the MILP and heuristic, respectively – both of which exploit AmBC. ....

Integer Linear Program , Mixed Integer Linear Program , Ambient Backscatter Communications , Data Communication , Nternet Of Things , Rink Schedule , Radio Frequency , Wireless Communication , Ireless Powered Networks , Wireless Sensor Networks , முழு நேரியல் ப்ரோக்ர்யாம் , கலப்பு முழு நேரியல் ப்ரோக்ர்யாம் ,

"Construction site layout optimization model considering cost and safet" by Kamal Jaafar, Raghda Elbarkouky et al.

Abstract
The construction industry is a complex field that requires lots of planning to succeed. The first step of planning in a construction project is planning the construction site layout. This paper develops a model formulation to optimize the construction site layout from the perspective of cost and risk. The developed optimization model also takes into consideration the dynamic environment of a construction site. That is, it demonstrates the situation that occurs in reality, since facilities, locations and their dimensions may vary throughout construction stages. The model aims to minimize both the cost and the risk involved in the project in a dynamic environment. Both cost and risk are minimized for material flow, equipment flow, people follow, facility setup, facility dismantling and facility relocation. The model generated in this paper was solved by standard branch-and-bound technique using LINGO software. To verify the model, a case study was solved using the gener ....

Ynamic Construction Site Layout , Equipment Flow , Acility Dismantling And Facility Relocation , Acility Setup , Material Flow , People Follow ,

"Optimizing compressive load capacity for differing tensegrity geometri" by James K. Roth and Timothy J. McCarthy

Abstract
Tensegrity structures present new possibilities to the field of structural engineering, owing to their ability to efficiently distribute compressive loads associated with their non-orthogonal design. Previous research has shown that when pretensioned, tensegrities exhibit higher resistance to compressive loading. However, over-tensioning can have adverse effects, reducing the tensegrities overall resistance to compressive loading. The geometry of a tensegrity affects how the structure reacts to loading, and the prestress and loading can concurrently affect geometry. This paper uses genetic algorithms to optimize the pretension loads in the cables of a tensegrity to deliver the highest overall vertical load capacity. The results are applied to determine the ultimate load-carrying capacity of tensegrities under a compressive load and determine the optimal aspect ratio at which this is achieved. By optimizing the pretension, the tensegrity can withstand compressive loads ....

Aspect Ratio , Ompressive Load , Genetic Algorithm , அம்சம் ரேஶியோ ,