Tabu Arama Algoritmasının Kuyruk Problemine Uygulanması
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Many people buy their vital need for living from a supermarket and they wait in checkout queues. In retail market, management of checkout queue lenght is very important for minimize payroll expences and maximize customer satisfaction. However , even today's technology, in many retail company checkout queue lenght is still tried to manage according by managers experiences or some programs which are not detailed about staffs own performance. In this study, simulated checkout queue line according to staffs personal performance and according to simulation s result, the best shift could be find. Thus, companies could forecast, which working time is more efficient for staffs according to its personal performance and what will be the checkout queue lenght during day.