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Vitalii Boiko
Pág. 19 - 32
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Yuliya Zaloznova, Nataliia Trushkina
Pág. 27 - 36
Performance features of coal mining enterprises in terms of organization of the marketing activity have been studied, including: constant fluctuations of the market of coal products; economic sensitivity to the irregular demand for coal (surplus or defic...
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Marios Arampatzis, Maria Pempetzoglou and Athanasios Tsadiras
Effective inventory management is crucial for businesses to balance minimizing holding costs while optimizing ordering strategies. Monthly or sporadic orders over time may lead to high ordering or holding costs, respectively. In this study, we introduce ...
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Dong-Jin Kim, Lwun Poe Khant, Daniel Darma Widjaja and Sunkuk Kim
The production of steel rebar is an energy-intensive process that generates CO2 emissions. In construction, waste is generated by cutting stock-length rebar to the required lengths. The reduction rate achieved in most previous studies was limited due to ...
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Daniel Darma Widjaja, Sunkuk Kim and Dong-Jin Kim
The construction of reinforced concrete (RC) structures inevitably consumes an excessive number of rebars, leading to significant cutting waste and carbon emissions. Extensive research has been conducted to minimize this issue and its consequences; howev...
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Hussein Zolfaghari, Hossein Karimi, Amin Ramezani and Mohammadreza Davoodi
DC microgrids play a crucial role in both industrial and residential applications. This study focuses on minimizing output voltage ripple in a DC microgrid, including power supply resources, a stochastic load, a ballast load, and a stabilizer. The solar ...
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Mattia Neroni, Massimo Bertolini and Angel A. Juan
In automated storage and retrieval systems (AS/RSs), the utilization of intelligent algorithms can reduce the makespan required to complete a series of input/output operations. This paper introduces a simulation optimization algorithm designed to minimiz...
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Sebastiano Gaiardelli, Damiano Carra, Stefano Spellini and Franco Fummi
Efficiently managing resource utilization is critical in manufacturing systems to optimize production efficiency, especially in dynamic environments where jobs continually enter the system and machine breakdowns are potential occurrences. In fully automa...
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Mirko Dinulovic, Aleksandar Benign and Bo?ko Ra?uo
In the present work, the potential application of machine learning techniques in the flutter prediction of composite materials missile fins is investigated. The flutter velocity data set required for different fin aerodynamic geometries and materials is ...
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Saima Bhatti, Asif Ali Shaikh, Asif Mansoor and Murtaza Hussain
Machinery components undergo wear and tear over time due to regular usage, necessitating the establishment of a robust prognosis framework to enhance machinery health and avert catastrophic failures. This study focuses on the collection and analysis of v...
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