Medicine distribution problem between pharmacy warehouse and pharmacies

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Date

2022

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Springer india

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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Abstract

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.

Description

Kose, Erkan/0000-0002-0097-4302; vural, danışment/0000-0003-4028-3810

Keywords

Multiple traveling salesman problem, system simulation, supply chain, pharmacy

Turkish CoHE Thesis Center URL

Citation

2

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Volume

47

Issue

3

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