Using of genetic algorithms for modeling of reverse logistics process in household pharmaceutical waste collection project

After environmental contamination and its hazards which realized recently, people?s awareness about the environment has increased, and they have begun expecting the same sensitivity from firms and governments. Reverse logistics have a great importance on that matter. With reverse logistics, useless products gain value with joining to reverse flow in logistics chain. So, a product which may be waste as a whole can have increased value, with decomposition to occur in the least amount of waste.One of the methods for collection of household pharmaceutical waste is establishment and effective management of reverse logistics network. These pharmaceuticals, named household pharmaceutical waste, inroad into small particles, accumulate, damaging to sea creatures, water, and people indirectly. To prevent these damages, reverse logistics chain for the collection of household pharmaceutical waste must be established and managed effectively. In this thesis, using genetic algorithm on transport activity in collection of household pharmaceutical waste project has investigated. Within the scope of the study, software which enables to process genetic algorithm has developed. User interface of developed software have ability importing data about pharmacies and warehouses. Coordinates derived from a web based application and presented in the appendix.In order to test, three different transportation model examples have been developed. These three models were compared in the light of the actual data and various assumptions, and the test results were presented. This study made for the effective use of genetic algorithms, is intended as a guide to future studies. Keywords: Reverse Logistics, Genetic Algorithm, Pharmaceutical Industry, Household Pharmaceutical Waste.