Vural, Danışment

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V.,Danışment
Danisment, Vural
V., Danisment
Vural D.
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Danışment, Vural
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Vural,Danisment
V.,Danisment
Vural, Danışment
D.,Vural
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Vural, Danisment
Danışment Vural
Job Title
Doktor Öğretim Üyesi
Email Address
danisment.vural@atilim.edu.tr
ORCID ID
0000-0003-4028-3810
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
AFR-8820-2022
Scholarly Output

3

Articles

3

Citation Count

2

Supervised Theses

0

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2022 - 20233
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Now showing 1 - 3 of 3
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    Article
    Citation Count: 2
    Medicine distribution problem between pharmacy warehouse and pharmacies
    (Springer india, 2022) Vural, Danışment; Duzenli, Berkay; Cakmak, Saliha; Vural, Danisment; Industrial Engineering
    The pharmaceutical supply chain consists of supplier, distributor (pharmaceutical warehouses) and retail (pharmacists) stages. Since the costs of some pharmaceuticals are high while their shelf life is short, it is not possible for pharmacies to keep all kinds of drugs in their stocks. Instead, pharmacies maintain reasonable amounts of inventory for products with high demand, while fulfilling orders for those with low demand through pharmaceutical warehouses. In this study, the real life drug distribution problem of a pharmacy warehouse that meets demands of 186 pharmacies in 9 regions is addressed. Optimal distribution routes that minimize both the transportation time and the costs are obtained by using our two-stage optimization approach without changing the company's infrastructure. At first, the multiple traveling salesman method, which is an extension of the traveling salesman problem, is used to determine the optimal routes. In the second stage, the system is simulated to determine the most suitable travel frequencies and the savings in the number of vehicles used. The results show that, savings of 52% in vehicles used and 46% in distance traveled per day can be obtained if the developed model is applied.
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    Article
    Citation Count: 0
    Simultaneous pickup and delivery model suggestion for personnel transportation in COVID-19 pandemic conditions
    (Wroclaw Univ Science & Technology, Fac Management, 2023) Vural, Danışment; Kokmazer, Ahsen; Vural, Danisment; Gokceoglu, Gokce Gul; Savli, Pinar; Industrial Engineering
    The impact of COVID-19 on the transportation costs of a large-scale company has been examined. Before the pandemic, shift personnel were transported to the factory by shuttles, and after a quick shift change, other shift personnel were transported back to their homes. However, with the implementation of laws mandating the reduction of shuttle seat capacities, transportation costs have risen significantly. To address this issue, a new simultaneous pickup and delivery model is proposed as an alternative to the separate transportation of shift workers. The results of this study indicate that the proposed model provides a substantial advantage in terms of both the number of vehicles used and the total distance traveled, leading to a significant reduction in costs. This research underscores the importance of effective operations research practices for the profitability of companies, particularly in extraordinary circumstances such as the COVID-19 pandemic.
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    Article
    Citation Count: 0
    Optimising Traffic Safety - Locating Traffic Gendarmes Based on Multi-Criteria Decision Making
    (Sveuciliste U Zagrebu, Fakultet Prometnih Znanosti, 2023) Vural, Danışment; Vural, Danisment; Abdulvahitoglu, Asli; Industrial Engineering
    Turkey's expanding population and growing economy have resulted in a significant increase in automobile ownership, leading to a rise in traffic volume and, subsequently, an increase in the number of accidents. The increase in the number of deaths and injuries caused by traffic accidents has motivated authorities and automobile manufacturers to work together to mitigate the impact of traffic accidents. Therefore, the demand for better roads, modern technologies and higher-quality driver training is becoming increasingly urgent for traffic safety. Due to the scale of harm to the country's economy and society caused by the material and moral losses, resulting from traffic accidents, traffic safety and management is one of the most important government initiatives. One of the responsible units of traffic safety and management in Turkey is the traffic gendarme. This study reviewed the categories of traffic accidents, the number of accidents, and the road network that occurred in a province's gendarme responsibility area in Turkey and linked them with the number of traffic gendarmes in that province. Thus, the study utilised mixed integer programming based on multi-criteria decision-making methods to identify the areas where these traffic gendarmes will be deployed according to established principles.