Search Results - "Jasiulewicz-Kaczmarek, Małgorzata"

Integrated PdM–OEE–LCC Framework: A Stochastic Control Approach for Industry 4.0 Systems.

Authors: Drożyner, Przemysław Jasiulewicz-Kaczmarek, Małgorzata

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4391, 30p

Maintenance 4.0 Technologies for Sustainable Manufacturing.

Authors: Jasiulewicz-Kaczmarek, Małgorzata¹, malgorzata.jasiulewicz-kaczmarek@put.poznan.pl

Source: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 16, p7360, 6p

An Artificial Intelligence Approach for Improving Maintenance to Supervise Machine Failures and Support Their Repair.

Authors: Rojek, Izabela Jasiulewicz-Kaczmarek, Małgorzata Piechowski, Mariusz et al.

Source: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 8, p4971, 16p

Lifetime Benefit Analysis of Intelligent Maintenance: Simulation Modeling Approach and Industrial Case Study.

Authors: Nordal, Helge El-Thalji, Idriss Jasiulewicz-Kaczmarek, Małgorzata

Source: Applied Sciences (2076-3417); Apr2021, Vol. 11 Issue 8, p3487, 29p

Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach.

Authors: Jasiulewicz-Kaczmarek, Małgorzata Żywica, Patryk Gola, Arkadiusz

Source: Journal of Intelligent Manufacturing; Jun2021, Vol. 32 Issue 5, p1497-1515, 19p

Dynamic Planning of Mobile Service Teams' Mission Subject to Orders Uncertainty Constraints.

Authors: Bocewicz, Grzegorz Nielsen, Peter Jasiulewicz-Kaczmarek, Małgorzata et al.

Source: Applied Sciences (2076-3417); Dec2020, Vol. 10 Issue 24, p8872, 20p

IDENTIFICATION OF THE CAUSES OF PRODUCTION EQUIPMENT FAILURE USING MACHINE LEARNING METHODS - A CASE STUDY.

Authors: ROJEK, Izabela JASIULEWICZ-KACZMAREK, Małgorzata PIECHOWSKI, Mariusz et al.

Source: Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie. 2025, Issue 215, p543-556. 14p.

Improve the Energy Efficiency of the Cooling System by Slide Regulating the Capacity of Refrigerator Compressors.

Authors: Cárcel-Carrasco, Javier Pascual-Guillamón, Manuel Salas-Vicente, Fidel et al.

Source: Applied Sciences (2076-3417); Mar2021, Vol. 11 Issue 5, p2019, 13p

An Improved Similarity Trajectory Method Based on Monitoring Data under Multiple Operating Conditions.

Authors: Yin, Jiancheng Li, Yuqing Wang, Rixin et al.

Source: Applied Sciences (2076-3417); Nov2021, Vol. 11 Issue 22, p10968, 16p

A Combined Anomaly and Trend Detection System for Industrial Robot Gear Condition Monitoring.

Authors: Nentwich, Corbinian Reinhart, Gunther

Source: Applied Sciences (2076-3417); Nov2021, Vol. 11 Issue 21, p10403, 20p

Bi-Objective Optimization for Industrial Robotics Workflow Resource Allocation in an Edge–Cloud Environment.

Authors: Xie, Xingju Wu, Xiaojun Hu, Qiao

Source: Applied Sciences (2076-3417); Nov2021, Vol. 11 Issue 21, p10066, 22p

Method of Selecting the Means of Transport of the Winning, Taking into Account Environmental Aspects.

Authors: Kowalski, Arkadiusz Waszkowski, Robert

Source: Applied Sciences (2076-3417); Jun2021, Vol. 11 Issue 12, p5512, 18p

How to Make Augmented Reality a Tool for Railway Maintenance Operations: Operator 4.0 Perspective.

Authors: Scheffer, Sara Martinetti, Alberto Damgrave, Roy et al.

Source: Applied Sciences (2076-3417); 3/15/2021, Vol. 11 Issue 6, p2656, 18p

WARM: Wearable AR and Tablet-Based Assistant Systems for Bus Maintenance.

Authors: Borro, Diego Suescun, Ángel Brazález, Alfonso et al.

Source: Applied Sciences (2076-3417); Feb2021, Vol. 11 Issue 4, p1443, 20p

A Diagnostic Approach to Improving the Energy Efficiency of Production Processes—2E-DAmIcS Methodology.

Authors: Hamrol, Adam Kujawińska, Agnieszka Brzozowski, Krzysztof et al.

Source: Energies (19961073). Dec2024, Vol. 17 Issue 23, p5942. 19p.

Validation of simulation model of the filling line failures / Walidacja modelu symulacyjnego uszkodzeń linii napełniania.

Authors: Pawlewski, Paweł Jasiulewicz-Kaczmarek, Małgorzata Bartkowiak, Tomasz et al.

Source: Journal of Konbin. Oct2016, Vol. 38 Issue 1, p179-200. 22p.

Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption.

Authors: Relich, Marcin Gola, Arkadiusz Jasiulewicz-Kaczmarek, Małgorzata

Source: Energies (19961073). Dec2022, Vol. 15 Issue 24, p9611. 19p.

THE CONCEPT OF MAINTENANCE SUSTAINABILITY PERFORMANCE ASSESSMENT BY INTEGRATING BALANCED SCORECARD WITH NON-ADDITIVE FUZZY INTEGRAL.

Authors: JASIULEWICZ-KACZMAREK, Małgorzata ŻYWICA, Patryk

Source: Maintenance & Reliability / Eksploatacja i Niezawodność; 2018, Vol. 20 Issue 4, p650-661, 12p

Graph-enabled cognitive digital twins for causal inference in maintenance processes.

Authors: Lim, Kendrik Yan Hong Yosal, Theresia Stefanny Chen, Chun-Hsien et al.

Source: International Journal of Production Research. Jul2024, Vol. 62 Issue 13, p4717-4734. 18p.

Subjects: Digital twin, Causal inference, Knowledge graphs, New product development, Knowledge representation (Information theory), Semantics

Geographic Terms: Louvain (Belgium)

Environmental issues of the corporate social responsibility.

Authors: Misztal, Agnieszka Jasiulewicz-Kaczmarek, Małgorzata

Source: Management (1429-9321). May2014, Vol. 18 Issue 1, p58-70. 13p.