Skip to main content

engin

Event image

Senior Design Project Fair 2018

Date: Thursday, 07 June 2018

Department of Industrial Engineering will host a Project Fair to showcase the senior design projects of its graduating class. The projects aim to provide working solutions to complex problems of various industrial firms and organizations both in the manufacturing and service sectors.

Distance-limited Distribution Network Design on the Continuous Space

Distance-limited Distribution Network Design on the Continuous Space

Risk-averse Multi-stage Mixed-integer Stochastic Programming Problems, İrfan Mahmutoğulları

Title: Risk-averse Multi-stage Mixed-integer Stochastic Programming Problems

Abstract: In real life, parameters of many optimization problems are not exactly known when the decisions are made. Stochastic programming is an approach for modeling optimization problems that involve uncertainty. In stochastic programming problems, it is assumed that the parameters are not known exactly, but they are distributed with respect to given probability distribution functions.

Brambles and Multi-stage Modeling on Networks, Dr. Sibel Sonuç

Title of the talk: Brambles and Multi-stage Modeling on Networks

Abstract

Industrial Engineering Senior Project Fair

Department of Industrial Engineering will host a Project Fair to showcase the senior design projects of its graduating class. The projects aim to provide working solutions to complex problems of various industrial firms and organizations both in the manufacturing and service sectors.

We cordially invite everyone to join us at the fair between 14:00-16:00 on June 8, 2017 at Ground Floor Foyer Area of FSA Cultural Center.  

A. N. Kolmogorov’s life

TED University
Faculty of Engineering
Department of Industrial Engineering
Seminar 
A.  N. Kolmogorov’s life 

IE Seminar: The impact of depot location, fleet composition and routing on emissions in city logistics, Dr. Çağrı Koç

The impact of depot location, fleet composition and routing on emissions in city logistics 

Application of Mixed Integer Optimization for Solving Complex Inventory Problems and Problems Stemming from Metabolic Engineering

Abstract: In this talk, I focus on the application of exact and heuristic methods to solve general mixed integer problems, and in particular: inventory problems combined with other decisions such as distribution, supplier selection, vehicle routing, etc (called complex inventory problems), and interesting problems arising from metabolic engineering. In order to solve complex inventory problems, I first consider substructures (relaxations) of such problems which are obtained by the coherent loss of information.

Subscribe to engin