Results 131 to 140 of about 504,478 (360)

Structural Modeling Based on Supply Chain Integration in Relation to Supply Chain Risk, Product Quality and Innovation Capability

مدیریت بهره وری
This study aims to investigate the unique features of the food supply chain, examining the impact of food supply chain integration, consisting of internal integration, supplier and customer, the quality of food products and product innovation capability.
Abolfazl Kazzazi, Amir Mohammad khani
doaj  

Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises

Agribusiness, EarlyView.
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley   +1 more source

Supply chain integration, organizational performance and balanced scorecard: An empirical study of the banking sector in Jordan

Journal of International Studies, 2019
Miklós Pakurár, Hossam Haddad, József Popp, Tehmina Khan, Judit Oláh   +4 more
doaj   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

Integrating QFD and Fuzzy AHP for the Analysis of Customer Needs: An Automotive Case Study [PDF]

Marouane Zaizoune, Brahim Herrou
openalex   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Optimizing Customer Experience by Exploiting Real-Time Data Generated by IoT and Leveraging Distributed Web Systems in CRM Systems

IoT
Integrating smart devices from the Internet of Things (IoT) with Customer Relationship Management (CRM) systems presents significant opportunities for enhancing customer experience through real-time data utilization.
Marian Ileana, Pavel Petrov, Vassil Milev   +2 more
doaj   +1 more source

Demand clearing house – a mutual concept for fostering EV-grid integration incorporating customers’ needs

, 2020
Matthias Backes, Sven Jundel, Daniel Telöken   +2 more
openalex   +1 more source

THE IMPACT OF STRATEGIC PURCHASING TO THE SUPPLIER INVOLVEMENT THROUGH COMMUNICATION, COORDINATION AND COLLABORATION IN SMAAL AND MEDIUM ENTERPRISES [PDF]

, 2009
In recent times, the theory of purchasing and supply operations has been widely studied under a variety of labels and for a number of reasons. Realizing competitive advantage from organizational alignment and relation to materials supply is for a form of
Tarigan, Zeplin Jiwa Husada
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source