Research Information System
Thesis Type: Postgraduate
Institution Of The Thesis: Gazi University, Fen Bilimleri Enstitüsü, ENDÜSTRİ MÜHENDİSLİĞİ ANA BİLİM DALI, Turkey
Approval Date: 2021
Thesis Language: Turkish
Student: Ahmet Eray BÜLTER
Supervisor: Hakan Çerçioğlu
Abstract:
Medical wastes cause the infectious diseases and spread of them cause chemical and physical damage, and thus it poses a great danger to public and environmental health. The collection, transportation and disposal of these wastes are the responsibility of the municipalities. The decision to send the waste to another facility in case of malfunctions and maintenance in the facilities that perform medical waste sterilization within the scope of the study is modeled with the Distributed Decision Making (DDM) method within a collaborative network structure. With the proposed DDM model, unlike the classical decision-making methods, it is aimed to meet the incoming demand with instant failure (stop) status, instant excess capacity and unmet amount of demand information for each of the members in a network model structure. In this way, wastes that need to be treated will be disposed and all of these wastes, which may lead to negative consequences will be disposed of within the network structure in a way that provides less cost and various income alternatives. Capacity and demand sharing is optimized with the collaborative network structure model. According to the experimental results, there is an increase in the capacity utilization rate and the level of meeting the demand in the proposed network model, while there is a decrease in non-value-added efforts such as excess stock, lost sales cost and idleness of investment and workforce. In this study, a mathematical model has been proposed that provides a more effective and efficient use of the resources of country, together with the collaborative network structure between municipalities by looking at medical waste management from different perspectives.
Key Words
Distributed Decision Making, Collaborated Network, Waste Management, Medical Waste