This is our latest selection of worldwide publications and patents in english on Lean Manufacturing, between many scientific online journals, classified and focused on lean manufacturing, lean sigma, six sigma, kaizen, 5S method, kanban, poka-yoke, Total Productive Maintenance, lead time reduction, Just-In-Time, value stream mapping, Deming, Shewhart cycle and PDCA.
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Exploratory Analysis on Shipping Segments and Potential Challenges for Dry Bulk Carriers
Published on 2026-02-03 by Angelos A. Menelaou, Sergey Popravko, Illya Bronnikov @MDPI
Abstract: The maritime industry is undergoing significant transformation, necessitating a reassessment of operational strategies, particularly for bulk carriers. Unlike container ships or ferries, which benefit from speed optimisation and real-time operational adjustments, bulk carriers face distinct challenges arising from rigid scheduling practices and the inherent complexities of cargo handling. Variability in loading and unloading processes, fluctuating discharge rates, and port congestion further con[...]
Our summary: This study explores the unique challenges faced by dry bulk carriers in the maritime industry. It highlights the limitations of Just-In-Time arrival strategies due to rigid scheduling and cargo handling complexities. The analysis emphasizes the need for reassessment of operational strategies in light of these challenges.
Shipping Segments, Dry Bulk Carriers, Operational Strategies, Just-In-Time
Publication
Creating a Proactive Churn Retention Strategy in a Telecommunications Company Through the Application of Design for Lean Six Sigma
Published on 2026-01-30 by Enda Mulcahy, Rachel Moran, Patrick Walsh, Anna Trubetskaya @MDPI
Abstract: This study investigates the use of DFLSS to mitigate customer churn in a prominent telecommunications provider facing challenges from competitive pricing, regulatory changes, and evolving customer expectations. Employing the DMADV methodology, the research developed a proactive retention strategy using techniques such as propensity modeling, customer segmentation, and predictive analytics to identify churn drivers. Targeted interventions, which include future-dated loyalty discounts, outbound re[...]
Our summary: This study explores a proactive churn retention strategy in a telecommunications company using Design for Lean Six Sigma. It employs the DMADV methodology to identify churn drivers and implement targeted interventions, resulting in significant improvements in customer retention and operational efficiency. The research contributes to the literature on Lean Six Sigma in telecom markets and suggests future integration of artificial intelligence for enhanced strategies.
Churn Retention, Design for Lean Six Sigma, Predictive Analytics, Customer Segmentation
Publication
Instrument Performance and Thermospheric Wind Observations
Published on 2026-01-24 by Zhenqing Wen, Di Fu, Guangyi Zhu, Dexin Ren, Xiongbo Hao, Hengxiang Zhao, Jiuhou Lei, Yajun Zhu, Yutao Feng @MDPI
Abstract: The thermosphere serves as a pivotal region for Sun–Earth interactions, and thermospheric winds are of great scientific importance for deepening insights into atmospheric dynamics, climate formation mechanisms, and space environment evolution. This study designed and developed a Ground-based Doppler Asymmetric Spatial Heterodyne Interferometer (GDASHI). Targeting the nightglow of the oxygen atomic red line (OI 630.0 nm), this instrument enables high-precision observation of thermos[...]
Our summary: This study developed a Ground-based Doppler Asymmetric Spatial Heterodyne Interferometer (GDASHI) for observing thermospheric winds. The instrument achieved high-precision measurements of nighttime meridional and zonal winds over one year at Gemini Astronomical Manor. Comparisons with a collocated Dual-Channel Optical Interferometer confirmed the reliability of GDASHI-derived winds, providing insights into atmospheric dynamics and climate mechanisms.
Doppler Interferometer, Thermospheric Winds, Ground-based Observations, Atmospheric Dynamics
Publication
Implementation of the Just-in-Time Philosophy in Coal Production Processes as an Approach to Supporting Energy Transition and Reducing Carbon Emissions
Published on 2026-01-21 by Dariusz Prosta?ski, Rados?aw Marl?ga, Slavko Dragi? @MDPI
Abstract: In the context of Poland’s commitments under the European Union’s climate policy, including the European Green Deal and the Fit for 55 package, as well as the decision to ban imports of hard coal from Russia and Belarus, ensuring the stability of the domestic market for energy commodities is becoming a key challenge. The response to these needs is the Coal Platform concept developed by the KOMAG Institute of Mining Technology (KOMAG), which aims to integrate data on h[...]
Our summary: The article discusses the implementation of the Just-in-Time philosophy in coal production to support energy transition and reduce carbon emissions in Poland. It highlights the development of the Coal Platform by the KOMAG Institute, which integrates data for better resource management. Advanced forecasting methods using AI are explored to enhance production efficiency and align with climate commitments.
Just-in-Time, Coal Production, Artificial Intelligence, Energy Transition
Publication
Multi-Dimensional Assessment of Low-Carbon Engineering Cement-Based Composites Based on Rheological, Mechanical and Sustainability Factors
Published on 2026-01-21 by Zhilu Jiang, Zhaowei Zhu, Deming Fang, Chuanqing Fu, Siyao Li, Yuxiang Jing @MDPI
Abstract: To address the high-carbon emissions associated with the large use of Portland cement (PC) in traditional engineered cementitious composites (ECCs) and the resource constraints on supplementary cementitious materials (SCMs), this study proposes a strategy combining limestone calcined clay cement (LC3) as a PC replacement with the incorporation of hybrid synthetic fibers to develop low-carbon, environmentally friendly ECCs. The fundamental properties of the LC3-ECC were tested, and a sustainabili[...]
Our summary: This study develops low-carbon engineered cementitious composites (ECCs) using limestone calcined clay cement (LC3) and synthetic fibers. Experimental results show that specific mixtures enhance fluidity and tensile performance while reducing carbon emissions significantly. An integrated evaluation framework was established to optimize LC3-ECC mixture proportions for practical applications.
Low-Carbon Cement, Rheological Properties, Mechanical Performance, Sustainability Analysis
Publication
A Generic Model Integrating Machine Learning and Lean Six Sigma
Published on 2026-01-19 by Fadwa Farchi, Chayma Farchi, Badr Touzi, Charif Mabrouki @MDPI
Abstract: With rapid urbanization and population growth, efficient transportation systems are increasingly crucial, particularly in sectors like healthcare and pharmaceutical logistics, which face unique challenges. In Morocco, there is a lack of studies on pharmaceutical transport, especially regarding costs and delivery conditions, creating a need for a specialized model. This research presents the development and validation of a predictive model for optimizing urban transport in Morocco. Tested across [...]
Our summary: This research develops a predictive model to optimize urban transport in Morocco, particularly focusing on the pharmaceutical sector. It integrates statistical process control and Lean Six Sigma principles to enhance performance monitoring and improve delivery efficiency. The model demonstrates adaptability across various sectors and aims to support sustainability and smart mobility initiatives.
Machine Learning, Lean Six Sigma, Urban Transport, Predictive Model
Publication