The use of artificial neural network models to enrich the analytical and predictive capabilities
of decision support systems in manufacturing has increased. The growing complexity and …

The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …

Purpose Assessing the outcome of lean transformation journey has been of interest to both
researchers and practitioners. Various qualitative and quantitative assessment …

The survival of the manufacturing industry has been faced with multiple challenges due to
changing stakeholder requirements, global competition and pressure to integrate …

Lean manufacturing in fabrication industry: literature review and framework proposal | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …

Purpose The purpose of this paper is to review various themes of leanness, leanness
assessment approaches, leanness assessment areas, and their evolution by a systematic …

The strategy of organizational lean production emphasizes on increasing efficiency, quality
improvement and cycle time reduction by eliminating non-value added activities (MUDA) …

Past literature has investigated the relationship between lean production and financial
performance with mixed results. Most studies focused on subsets of lean practices to …

The interest of lean companies in tools to monitor and control their lean implementation
process, ie their leanness level, is continuously increasing. A multitude of diverse …

Purpose The purpose of this paper is to describe a leanness assessment methodology that
takes into account the interaction between lean elements for computing the systemic …