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    Comparing the Use of Ant Colony Optimization and Genetic Algorithms to Organize Kitting Systems Within Green Supply Chain Management Practices
    (Mdpi, 2025) Senaras, Onur Mesut; Inanc, Sahin; Senaras, Arzu Eren; Bilir, Burcu Ongen
    As product diversity continues to expand in today's market, there is an increasing demand from customers for unique and varied items. Meeting these demands necessitates the transfer of different sub-product components to the production line, even within the same manufacturing process. Lean manufacturing has addressed these challenges through the development of kitting systems that streamline the handling of diverse components. However, to ensure that these systems contribute to sustainable practices, it is crucial to design and implement them with environmental considerations in mind. The optimization of warehouse layouts and kitting preparation areas is essential for achieving sustainable and efficient logistics. To this end, we propose a comprehensive study aimed at developing the optimal layout, that is, creating warehouse layouts and kitting preparation zones that minimize waste, reduce energy consumption, and improve the flow of materials. The problem of warehouse location assignment is classified as NP-hard, and the complexity increases significantly when both storage and kitting layouts are considered simultaneously. This study aims to address this challenge by employing the genetic algorithm (GA) and Ant Colony Optimization (ACO) methods to design a system that minimizes energy consumption. Through the implementation of genetic algorithms (GAs), a 24% improvement was observed. This enhancement was achieved by simultaneously optimizing both the warehouse layout and the kitting area, demonstrating the effectiveness of integrated operational strategies. This substantial reduction not only contributes to lower operational costs but also aligns with sustainability goals, highlighting the importance of efficient material handling practices in modern logistics operations. This article provides a significant contribution to the field of sustainable logistics by addressing the vital role of kitting systems within green supply chain management practices. By aligning logistics operations with sustainability goals, this study not only offers practical insights but also advances the broader conversation around environmentally conscious supply chain practices.
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    Psycho-Social Impact of the Disaster on Employees in Terms of Occupational Health and Safety: The Case of Turkey
    (Springer-Verlag Singapore Pte Ltd, 2025) Aytac, Sevinc Serpil; Akalp, Husre Gizem; Bilir, Burcu Ongen; Mamaci, Merve
    The earthquakes that occurred in Maras, Turkey, on February 6, 2023, with intensities of 7.7 MW and 7.6 MW, deeply affected the lives of millions of people in economic, social and psychological terms within a few seconds and caused loss of life. The aim of this study is to examine the moderator role of disaster preparedness plans in workplaces on the relationship between post-traumatic stress levels and depression, anxiety, stress levels of people who are directly or indirectly exposed to these earthquakes and have an active work life. The data was obtained from a total of 206 blue-collar employees who were actively working in a private company and were directly and indirectly exposed to the effects of the earthquake. In data collection, demographic information form, The Impact of Event Scale-Revised (IES-R) and Depression Anxiety Stress Scale-21 (DASS-21) were used. According to the findings analyzed using structural equation modeling showed that having a disaster preparedness plan in workplaces weakens the strength of the relationship between post-traumatic stress level and depression, anxiety, stress levels.

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