Courses

What is MES? Its history, current state, and future. Basic components of manufacturing execution systems including design, process management, manufacturing, quality, automated storage, and material handling systems. 

Production planning, materials requirement planning (MRP), capacity balancing, scheduling, inventory control, quality management, workforce organization, lean manufacturing, Just-In-Time (JIT), Total Quality Management (TQM), and Industry 4.0 applications. 

Introduction to computer technology, informatics, basic algorithms and data structures, databases and SQL, software development process, and object-oriented programming. 

Building blocks of mechatronic systems including sensors, actuators, motors (AC, DC, servo, step), electronic circuit components, and control systems. System modeling, simulation techniques, fundamentals of digital logic, measurement and positioning techniques, and automatic control applications. 

Integration of MES software with ERP systems, automation infrastructures (SCADA/PLC), and IoT devices. General structure of MES software, components, data flow, system architecture, and integration with manufacturing processes. 

Production area equipment, use of GIT, SVN, Dropbox, and standards managing MES functionalities such as ISA-95, OPC UA, and MQTT. 

Introduction to robotics, programming basics, robotic and electronic hardware, advanced programming, sensors, actuators, robot software communication, working principles of sensors, label recognition using SIFT and SURF, basic image processing techniques, and QR code reading. 

Recognition of different maintenance types, Computerized Maintenance Management Systems (CMMS), Total Productive Maintenance (TPM), maintenance economics, and reliability analysis. 

Classification of materials and inventory, inventory control and management, costs associated with inventory, stock planning, production and distribution (P&D) management, and logistics management. 

Learning PLC and SCADA programming. Controlling hydraulic, pneumatic, and electromechanical systems using PLCs. Process control and Cartesian robot control. Programming and controlling industrial robots

Interface design principles, design process, data visualization, sample applications, and project development. 

Value Stream Mapping and Process Analysis; Cellular Manufacturing/Management and Cell Design; SMED, Production Smoothing and Push/Pull Systems; Lean Logistics; Lean Management System; Lean Cost Accounting; Lean Product Development; and examples of real-world Lean Manufacturing/Management applications.

Covers the evaluation of internship notebooks, reports, and workplace documents following internships in private or public sector institutions, where students apply theoretical knowledge acquired over two years in real work settings. 

Students carry out a project possessing all the qualifications of a scientific study on a selected topic, combining theoretical knowledge with research and practical applications. 

Introduction to MES systems, production management systems, quality management, process management, ANSI-ISA 95 standard, IT standards, and performance analysis. 

Characteristics of MES projects, project management steps, management processes, project phases, and strategic planning. 

Usage in smart factories, components, features, benefits, and applications of smart factories. Differences between smart and traditional factories. Examples of smart factories in Turkey. 

Overview of system integration, basic steps in system integration, XML and other markup languages and standards, Web 2.0 technologies: Web APIs, REST, Mashups. Data/information integration and EII, presentation integration and portals, process-based integration, and identity integration (Single Sign-On). 

Definition of systems, types of information systems, their roles within companies, the role of information systems in digital transformation, planning and development processes of information systems, enterprise software applications (ERP, SCM, CRM, etc.), network management, management information systems, decision support systems, business intelligence systems, and reporting systems.