360 Retail business analytics by adopting hybrid machine learning and a business intelligence approach

A Alqhatani, MS Ashraf, J Ferzund, A Shaf, HA Abosaq… - Sustainability, 2022 - mdpi.com
Business owners and managers need strategic information to plan and execute their
decisions regarding business operations. They work in a cyclic plan of execution and …

[PDF][PDF] An AI Management Model for the Manufacturing Industry-AIMM

T Biegel, B Bretones Cassoli, F Hoffmann, N Jourdan… - 2021 - tuprints.ulb.tu-darmstadt.de
The use of artificial intelligence in manufacturing holds a multitude of potentials for
improving the performance of a company in the dimensions time, quality, and cost. Many …

Cloud-based big data analytics platform using algorithm templates for the manufacturing industry

C Jun, JY Lee, BH Kim - International Journal of Computer …, 2019 - Taylor & Francis
Specialised knowledge on analytics algorithms is necessary to conduct a data analysis;
thus, there are limits to how a manufacturing manager who is not a data analysis expert …

Design and simulation of manufacturing organizations based on a novel function-based concept

M Winkler, S Gallego-García, M García-García - Applied Sciences, 2022 - mdpi.com
Featured Application Modeling manufacturing organizations for optimizing their design,
management, control, and continuous improvement by considering all functions and their …

Data driven production–application fields, solutions and benefits

E Sarikaya, B Brockhaus, A Fertig, H Ranzau… - 2021 - tuprints.ulb.tu-darmstadt.de
In the fourth industrial revolution, the growing digitalization integrates new technologies,
such as smart sensors, new communication standards, cyber-physical systems, big data …

Enabling real time big data solutions for manufacturing at scale

A Cakir, Ö Akın, HF Deniz, A Yılmaz - journal of Big Data, 2022 - Springer
Today we create and collect more data than we have in the past. All this data comes from
different sources, including social media platforms, our phones and computers, healthcare …

Managing supply chain performance using a real time Microsoft Power BI dashboard by action design research (ADR) method

DH Nabil, MH Rahman, AH Chowdhury… - Cogent …, 2023 - Taylor & Francis
Supply chain (SC) performance is being advanced through digitalization, automation, and
real-time visibility, leading to improved operational efficiency, optimized inventory …

Dimensions of data analytics in supply chain management: objectives, indicators and data questions

P Brandtner, C Udokwu, F Darbanian… - Proceedings of the 2021 …, 2021 - dl.acm.org
In recent time, the application of data analytics (DA) has grown significantly in virtually every
field, Supply Chain Management (SCM) being one of them. DA processes like CRISP-DM …

Management challenges in creating value from business analytics

R Vidgen, S Shaw, DB Grant - European Journal of Operational Research, 2017 - Elsevier
The popularity of big data and business analytics has increased tremendously in the last
decade and a key challenge for organizations is in understanding how to leverage them to …

Performance measurement system development in SMEs: Testing & refining the circular methodology

EF Langwerden - 2015 - essay.utwente.nl
One main obstacle for Performance Measurement Systems (PMS) implementation in Small
and Medium Enterprises (SMEs) are non-formalized strategies, because the strategic …