Requirements engineering for machine learning: A review and reflection

Z Pei, L Liu, C Wang, J Wang - 2022 IEEE 30th International …, 2022 - ieeexplore.ieee.org
Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review

ZN Jawad, V Balázs - Beni-Suef University Journal of Basic and Applied …, 2024 - Springer
In the dynamic and changing realm of technology and business operations, staying abreast
of recent trends is paramount. This review evaluates the progress in the development of the …

Cross-industry frameworks for business process reengineering: Conceptual models and practical executions

OA Popoola, HE Adama, CD Okeke… - World Journal of …, 2024 - wjarr.com
Cross-industry frameworks for business process reengineering (BPR) have emerged as
pivotal tools in enhancing organizational efficiency, agility, and competitiveness across …

A roadmap for integrating automation with process optimization for AI-powered digital transformation

A Aldoseri, K Al-Khalifa, A Hamouda - 2023 - preprints.org
The integration of automation and process optimization within the context of AI-powered
digital transformation has emerged as a pivotal strategy for organizations aiming to enhance …

Creative abilities and digital competencies to transitioning to Business 4.0

BS Sergi, A Ključnikov, EG Popkova, AV Bogoviz… - Journal of Business …, 2022 - Elsevier
The article aims to define the role of human resources in the transition to Business 4.0 and
identify the requirements for HRM (Human Resources Management) for this role's …

Developing Robotic Process Automation to Efficiently Integrate Long-Term Business Process Management

N Nalgozhina, A Razaque, U Raissa, J Yoo - Technologies, 2023 - mdpi.com
Robotic process automation (RPA) is a popular process automation technology that
leverages software to play the function of humans when employing graphical user …

[HTML][HTML] An agent-based simulator for quantifying the cost of uncertainty in production systems

J Costas, J Puche, B Ponte, MC Gupta - Simulation Modelling Practice and …, 2023 - Elsevier
Product-mix problems, where a range of products that generate different incomes compete
for a limited set of production resources, are key to the success of many organisations. In …

Cement kiln safety and performance improvement based on machine learning predictive analytics

MT Benchekroun, S Zaki, M Aboussaleh - The International Journal of …, 2023 - Springer
Occupational health and safety has top priority within the cement industry. The preheating
tower with its series of installed cyclones is essential in the cement kiln production process …

Enhancing value creation of operational management for small to medium manufacturer: A conceptual data-driven analytical system

S Harno, HK Chan, M Guo - Computers & Industrial Engineering, 2024 - Elsevier
This paper aims to explore the challenges and opportunities for Small and Medium-sized
Manufacturing Enterprises (SMMEs) in implementing data-driven techniques in their …

A holistic analysis of maritime logistics process in fuzzy environment in terms of business process management

E Akan - Business Process Management Journal, 2023 - emerald.com
Purpose The aim of this study is to provide a holistic analysis of all possible maritime
business logistics processes related to import and export shipments in a fuzzy environment …