Banu Çaliş Uslu

• PhD
• Asst. Prof. at Marmara University

This research aims to compare two well-known solution methodologies, namely Geographical Information Systems (GIS) and Discrete Event Simulation (DES), which are used to design, analyze, and optimize the solid waste management system based on the locations of the garbage bins. A significant finding of the study was that the application of the simul...

Steadily increasing demand requires neonatal units and networks to improve their overall capacities. Given the operational complexities involved, simulation is a popular choice for capacity planning studies. , For efficient model building, simulation exercises typically assume unidirectional flow of patients i.e., infants progressively move to lowe...

Multi-Agent Systems (MAS) make it possible to perceive, collect, share, consolidate and revise information from multiple smart devices through the design of smart objects as agents within the Internet of Things (IoT) systems. Although multi-agent systems and related tools significantly change the paradigms used in systems optimization, the existin...

Optimization models enable organizations to find the best solution and respond to the demand from an uncertain environment and stochastic process promptly and with less engineering effort. This study aims to optimize the number of seasonal agents and customer prioritization needed for a call center system using big data analytics and discrete event...

The purpose of this study is to provide a descriptive analysis of the assessment of machine learning algorithms to an effective customer churn prediction (CCP) methodology. In the rapidly developing field of Customer Relation Management (CRM), to propose a convenient CCP methodology for retaining the customers who tend to churn, a set of data-minin...

Keywords Abstract Customer Churn Analysis, Telecommunication, Data-mining, Customer Relation Management The purpose of this study is to provide a descriptive analysis of the assessment of machine learning algorithms to an effective customer churn prediction (CCP) methodology. In the rapidly developing field of Customer Relation Management (CRM), to...

Abstract In the rapidly evolving technology world, especially in the software industry, it requires that the developed products be presented to the market quickly and react quickly to changing needs. In order to adapt to changing conditions, classical and agile approach methodologies are used in the software industry in the world. In this study, a...

With digital transformation and progress in science, developing process capabilities with limited resources has gained immense importance for higher education institutions. To provide the highest quality education services and manage the information and knowledge management processes, appropriate strategies, and related key performance management f...

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful info...

Currently, rapidly developing digital technological innovations affect and change the integrated information management processes of all sectors. The high efficiency of these innovations has inevitably pushed the health sector into a digital transformation process to optimize the technologies and methodologies used to optimize healthcare management...

Hızla gelişen teknoloji dünyasında özellikle yazılım sektöründe geliştirilen ürünlerin pazara hızla sunulması ve değişen gereksinimlere hızlı reaksiyon vermeleri gerektirmektedir. Değişen şartlara uyum sağlayabilmek için dünyadaki yazılım endüstrisinde klasik ve çevik yaklaşım metodolojiler kullanılmaktadır. Bu çalışma kapsamında, Türkiye yazılım e...

Today, rapidly developing technological innovations affect and change all sectors. Health sectors are inevitably involved in a digital transformation. In this transformation, IoT technology plays an important role, which enables many devices to connect and work together. IoT converts systems into intelligent systems that work together using sensors...

Today, rapidly developing technological innovations affect and change all sectors. Health sectors are inevitably involved in a digital transformation. In this transformation, IoT technology plays an important role, which enables many devices to connect and work together. IoT basically converts systems into intelligent systems that work together usi...

In today’s business world, a well-defined and integrated Procurement Management System provides very important competitive advantage to the companies The aim of this article is to propose a reference model in order to measure the capabilities of procurement management systems in terms of degree of integration and sustainability together. To do that...

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful info...

ABSTRACT Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meanin...

Operating Theatre Scheduling involves simultaneous allocation of patients and acute resources such as surgeons to operating theatres. Given that there are many possible alternatives, theatre managers seek to identify allocations which provide optimum performance. Objective function used for generating an optimal solution may consist of any combinat...

The aim of this study is to develop a supplier selection model on the basis of an Agent Based System in order to assure that the pre-defined goals are fulfilled. To develop the proposed supplier model with measurement capability, primarily a Supplier Agent Architecture was designed, and integration between raw materials and suppliers were assured i...

This paper focuses on the problem of scheduling on a single machine to minimise the maximum lateness when each job has a different ready time, processing time, and due date. A simple procedure is developed to find a better solution than the early due date (EDD) algorithm. The new algorithm suggested in this paper is called Least Slack Time-Look Ahe...

This study considers a single-machine scheduling problem where the objective is to maximize total profit (Prmax). The problem is identified as 1 ││ Prmax. The aim of this study is to develop a profit-based scheduling model using agent-based architecture in order to increase profitability of a single machine manufacturing systems. All objective func...

This paper focus on artificial intelligence approaches to NP-hard job shop scheduling (JSS) problem. In the literature successful approaches of artificial intelligence techniques such as neural network, genetic algorithm, multi agent systems, simulating annealing, bee colony optimization, ant colony optimization, particle swarm algorithm, etc. are...