Disaster is a general term for events that result in physical, economic, and social losses for people and occur when insufficient resources exist. Natural disasters, particularly earthquakes, are frequent occurrences worldwide. Although plans are made for both pre-and post-disaster periods, the painful experience of the recent major earthquake on the Eastern Anatolian Fault Line in Turkey has highlighted the inadequacy of these plans in terms of feasibility. Preventing future disasters is possible by implementing a good disaster management plan. Identifying emergency assembly areas after a disaster is one of the most critical issues in disaster management. This study used four multi-criteria decision-making techniques—AHP, TOPSIS, COPRAS, and BORDA—to evaluate the selection and suitability of emergency assembly areas for the Gölbaşı district of Ankara, Turkey. The AHP method was used to weight criteria, which were then applied in various decision-making approaches. Finally, utilizing the BORDA method, the alternative ranking derived from the AHP, TOPSIS, and COPRAS procedures was rated as more effective. According to the findings, the Sacrificial Slaughter Area, Green Area, Şehir Park, Muhsin Yazıcıoğlu Sports Complex, and the Türkiye Muhasebeciler Association (İncek and Taşpınar) are determined the five most effective emergency assembly areas in the Gölbaşı district.
Personnel scheduling is basically a type of scheduling that determines which employee will work and when, taking into account the needs of the industry and employees. Personnel scheduling is intertwined with shift scheduling problems in shift systems. In many industries, the assignment of employees to shifts during the day, the determination of relief breaks and meal breaks are an important factor for shift scheduling while meeting the changing workforce needs. The main purpose of this study is to schedule the shifts of the machinists of Ankaray, which is one of the underground transportation networks of Ankara, the capital of Turkey, in the transportation sector where people serve people. In the study, shift scheduling models in the literature were examined and Aykin's optimal shift scheduling with multiple break windows was taken as a basis. The model divides the working hours into two shifts during the day and finds the number of employees required for each shift. In addition, it also determines the relief break and lunch break times for each employee. As a result, the current situation was analyzed and a comparison was made with the results on the established optimization model. Cost minimization is at the root of the problem, so it is concretely shown how this model will contribute in real life.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.