[HTML][HTML] Business analytics in manufacturing: Current trends, challenges and pathway to market leadership

YM Omar, M Minoufekr, P Plapper - Operations Research Perspectives, 2019 - Elsevier
The manufacturing sector is under constant pressure to increase profitability in a growingly
competitive international market in which differentiation is not tied to manufactured products …

Industrial AI and predictive analytics for smart manufacturing systems

J Lee, J Singh, M Azamfar, V Pandhare - Smart Manufacturing, 2020 - Elsevier
Today, the manufacturing industry is aiming to improve competitiveness by integrating
capabilities such as sensing, communication, big data analytics, and cloud computing …

[PDF][PDF] Data Analytics for Smart Manufacturing: A Case Study.

N Iftikhar, T Baattrup-Andersen, FE Nordbjerg… - DATA, 2019 - academia.edu
Due to the emergence of the fourth industrial revolution, manufacturing business all over the
world is changing dramatically; it needs enhanced efficiency, competency and productivity …

[图书][B] Intelligent Analytics for Industry 4.0 Applications

AC Pandey, A Verma, VS Rathor, M Singh, AK Singh - 2023 - books.google.com
The advancements in intelligent decision-making techniques have elevated the efficiency of
manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is …

Big data analytics in supply chain management between 2010 and 2016: Insights to industries

S Tiwari, HM Wee, Y Daryanto - Computers & Industrial Engineering, 2018 - Elsevier
This paper investigates big data analytics research and application in supply chain
management between 2010 and 2016 and provides insights to industries. In recent years …

[PDF][PDF] A Systematic Literature Review of Performance Pyramids System Implementation in the Manufacture Industries

H Kurnia - Indonesian Journal of Industrial Engineering and …, 2021 - researchgate.net
The prevailing literature and empirical studies on organizational performance management
stress the increasing importance of non-financial performance measures and propose …

A taxonomy and archetypes of business analytics in smart manufacturing

J Wanner, C Wissuchek, G Welsch… - ACM SIGMIS Database …, 2023 - dl.acm.org
Fueled by increasing data availability and the rise of technological advances for data
processing and communication, business analytics is a key driver for smart manufacturing …

The quest for business value drivers: applying machine learning to performance management

F Visani, A Raffoni, E Costa - Production Planning & Control, 2024 - Taylor & Francis
The paper explores the potential role of Machine learning (ML) in supporting the
development of a company's Performance Management System (PMS). In more details, it …

[HTML][HTML] Prescriptive analytics applications in sustainable operations research: conceptual framework and future research challenges

D Bhatt Mishra, S Naqvi, A Gunasekaran… - Annals of Operations …, 2023 - Springer
In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of
interest for both academicians and practitioners. As prescriptive analytics has transitioned …

Managing the IE (Industrial Engineering) Mindset: A quantitative investigation of Toyota's practical thinking shared among employees

P Marksberry, DC Parsley - Journal of Industrial Engineering and …, 2011 - econstor.eu
Purpose: The goal of this work was to investigate the managerial practices of today to
understand if Toyota is sheltering themselves from these newer practices or embracing them …