Search Results - subject:"process optimization"

The value addition of Healthcare 4.0 loyalty programs : implications for logistics management

Vieira, Maria João; Ramos, Ana; Amaral, João - In: Logistics 10 (2026) 2, pp. 1-29

Background: Digital transformation is reshaping healthcare operations, with loyalty programs increasingly used to strengthen patient engagement and streamline administrative workflows. However, fragmented information systems and manual verification routines continue to create bottlenecks,...

Persistent link: https://www.econbiz.de/10015612391

Optimizing audit processes through open innovation : leveraging emerging technologies for enhanced accuracy and efficiency

Sayal, Anu; Johri, Amar; Chaithra, N.; Alhumoudi, Hamad; … - In: Journal of open innovation : technology, market, and … 11 (2025) 3, pp. 1-16

Artificial intelligence (AI) and machine learning (ML) are reshaping financial auditing by enabling greater efficiency, precision, and risk detection. Leveraging the U.S. Securities and Exchange Commission (SEC) Financial Statement Data Sets for the fiscal year 2024, a dual-model framework...

Persistent link: https://www.econbiz.de/10015468107

A review of strategies, challenges, and ethical implications of machine learning in smart manufacturing

Ahmed, Yassmin Seid; Milani, Abbas S. - 2025

Manufacturing organizations continuously need to innovative production strategies and advance their machinery to adapt to evolving business objectives. Machine learning and data mining are now essential techniques for solving various complex manufacturing problems promptly and intelligently....

Persistent link: https://www.econbiz.de/10015506509

A predictive analytics framework for early detection of production halts and quality issues

Matta, Arthur; Matos, Luís Miguel; Silva, Jorge Miguel; … - 2025

This study presents a Machine Learning (ML) framework for an Ahead-of-Time (AoT) prediction of production halts and defects in particleboard manufacturing that uses only pre-production input variables. The proposed approach incorporates both Single-Task Learning (STL) and Multi-Task Learning...

Persistent link: https://www.econbiz.de/10015506748

An analytical framework for optimizing supply chain operations with lean practices

Batwara, Amber; Kediya, Shailesh; Kayande, Ravindra A. - In: Supply chain analytics 11 (2025), pp. 1-13

Integrating lean principles into supply chain (SC) management has gained significant attention, but the emphasis on sustainability remains limited. This study addresses this gap by introducing a comprehensive Supply Chain Value Stream Mapping (SC-VSM) framework to enhance sustainability...

Persistent link: https://www.econbiz.de/10015519777

Applying Lean Six Sigma DMAIC to improve service logistics in Tunisia's public transport

Hajji, Mohamed Karim; Fekih, Asma; Bal, Alperen; Tozan, … - In: Logistics 9 (2025) 4, pp. 1-30

Background: This study deploys the Lean Six Sigma DMAIC framework to achieve systemic optimization of the school subscription process in Tunisia's public transport service, a critical administrative operation affecting efficiency and customer satisfaction across the urban mobility network....

Persistent link: https://www.econbiz.de/10015564631

A data-driven approach to anomaly prediction in automotive display manufacturing

Rocha, Hugo; Moreno, Marta; Matos, Luís Miguel; … - 2025

This study investigates the Wet Optical Bonding (WOB) process in automotive display manufacturing within an Industry 4.0 framework. The objective is to enable early detection of display defects, such as air bubbles and particle contamination, by leveraging tabular WOB input features available...

Persistent link: https://www.econbiz.de/10015586632

An analytical review of data integration for decision support in smart manufacturing

Balaha, Farah; Albinali, Hamad; Alrabiah, Haneen; Ali, … - 2025

, Automation and Process Optimization, and Exploratory and Explanatory Studies, with further subthemes providing deeper insights …

Persistent link: https://www.econbiz.de/10015586656

How do businesses utilize change management for process optimization? : a cross-analysis among industrial sectors

Monferdini, Laura; Bottani, Eleonora - In: Business process management journal 30 (2024) 8, pp. 371-414

Persistent link: https://www.econbiz.de/10015324522

How do businesses utilize change management for process optimization? A cross-analysis among industrial sectors

Monferdini, Laura; Bottani, Eleonora - In: Business Process Management Journal 30 (2024) 8, pp. 371-414

context of process optimization and to investigate how companies effectively use change management to optimize processes … management during process optimization. Originality/value The innovative contribution of this paper consists of the joint … perspective taken when looking at process optimization and the application of change management strategies. Such a perspective …

Persistent link: https://www.econbiz.de/10015341693