The purpose of this article is to propose a novel classification of the interrelationships
between Industry 4.0 (I4. 0) technologies and circular economy (CE) principles that …

Organizations must be able to meet customer needs in today's complex market situation and
business environment, the needs and essentials for their satisfaction such as high product …

Currently, Industry 4.0 (I4. 0) represents a worldwide movement to improve the productivity
and efficiency of operations and supply chain management (OSCM), which requires …

Abstract Machine Learning (ML) is revolutionizing supply chain and logistics optimization in
the oil and gas sector. This comprehensive analysis explores how ML algorithms are …

Project selection has a critical role in the successful execution of the lean six sigma (LSS)
program in any industry. The poor selection of LSS projects leads to limited results and …

Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …

Motivated by the project uncertainties of complex realities brought by the fourth industrial
revolution, Industry 4.0 (I4. 0), researchers must look at Lean project management (LPM) soft …

This work aims to show how Industry 4.0 (I4. 0) can be combined with Lean Management
(LM) to achieve the goals of the Circular Economy (CE). For this, a sustainable production …

In this study, we develop a new paradigm, Circular Lean Six Sigma 4.0 (CLSS4. 0) to
promote manufacturing sustainability. This paper aims to provide a practical and holistic …

Purpose In spite of huge advancement of Lean in the manufacturing sector, its advantage in
the service sector is not fully investigated. The purpose of this paper is to cover this gap in …