Results 81 to 90 of about 27,980 (214)

Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review

open access: yesAgribusiness, EarlyView.
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara   +2 more
wiley   +1 more source

Standards and Customer Service: Employees Behavior towards Customers

open access: yesJournal of Innovations and Sustainability, 2017
Ensuring effective customer service requires targeted efforts in a number of areas, one of which is to develop service standards for each market segment.
Venelin Terziev   +2 more
doaj  

Studying Customer Satisfaction of Mashhad Airport Customs Based on Kano and Servqual Models [PDF]

open access: yesInternational Journal of Management, Accounting and Economics, 2017
Over the past two decades, developed countries were shadowed by moving toward service-based economics, which is recently affecting developing countries.
Abbas Sharifipour   +3 more
doaj  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

An Investigation of Representative Customer Load Collectives in the Development of Electric Vehicle Drivetrain Durability

open access: yesWorld Electric Vehicle Journal
To ensure the precise dimensioning and effective testing of drivetrain components, it is crucial to have a thorough understanding of customer requirements, with a particular emphasis on customer stress on these components.
Mingfei Li   +4 more
doaj   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

Study on the Structured Processing of Unstructured Personalized Customer Requirement for Mass Customization

open access: yesDianxin kexue, 2013
Mass customization is a new model of manufacturing and services. Customers' personalized service requirement in mass customization often have the unstructured characteristics, and obtaining and analyzing customers' real requirements accurately is the key
Qinglie Wu, Yu Guo
doaj   +2 more sources

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

Fuzzy Centroid-Based Method Applied to Customer Requirements Ranking in Diba Fiberglass Company [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2009
The purpose of this study is to introduce an application of fuzzy centroid-based approach to ranking the customer requirements using QFD with competition considerations for Diba Fiberglass, an Iranian Company.
doaj  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source

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