Academic Positions

  • Present Feb 2016

    Assistant Professor Dr.

    Suleyman Demirel University,
    Dept. of Industrial Engineering

  • Feb 2016 Jul 2015

    Visiting Researcher

    Helmut Schmidt University,
    Dept. of Logistics Management

  • Jul 2015 Jul 2013

    Assistant Professor Dr.

    Suleyman Demirel University,
    Dept. of Industrial Engineering

  • Jul 2013 Mar 2013

    Research Assistant Dr.

    Suleyman Demirel University,
    Dept. of Industrial Engineering

  • Mar 2013 Dec 2006

    Research Assistant

    Suleyman Demirel University,
    Dept. of Industrial Engineering

Education & Training

  • PhD. 2013

    Mechanical Engineering

    Suleyman Demirel University
    Graduate Sch. of Natural and Applied Sciences

  • MSc.2009

    Industrial Engineering

    Suleyman Demirel University
    Graduate Sch. of Natural and Applied Sciences

  • BSc.2005

    Industrial Engineering

    Selcuk University
    Engineering and Architecture Faculty

Honors, Awards and Grants

This section will be design later

Research Projects

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    Alternative Solution Approaches to Vehicle Routing Problems

    Researcher, Pamukkale University BAP 2013-BSP-0026, 2013-2016.

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    Android Based Inventory Management System

    Academic Supervisor, TUBITAK 2209/A Bachelor Students Research Projects, 2014-2015.

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    Research and Analysis on a Furniture Production System via Value Stream Mapping and Work Study

    Academic Supervisor, TUBITAK 2209/A Bachelor Students Research Projects, 2013-2014.

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    Development of an EPQ Model with Imperfect Items using Grey System Theory

    Researcher, Suleyman Demirel University BAP 2918-D-11, 2011-2013.

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    Development of Simulation Software for Facility Organizing, Production System Structuring, and Performance Measuring (Faborg-Sim)

    Researcher, TUBITAK MAG 1001 Research Projects 104-M-377, 2006-2009.

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A New Production Scheduling Module Using Priority-Rule Based Genetic Algorithm

Erdal Aydemir, Halil Ibrahim Koruca
Journal Paper SCI-E International Journal of Simulation Modelling, 14 (3), pp. 450-462.

Abstract

Production scheduling is an important function that determines the efficiency and productivity of a production system. Many optimization methods, techniques, tools, and heuristics have been used to solve production scheduling problems, accordingly priority rules are implemented for customers’ orders in real-world applications. Simulations and heuristic methods are quite useful for making decisions, and they are used mostly to design and improve production systems by reducing their complexity. In this study, a Priority Rule-Based Genetic Algorithm Scheduling (PRGA-Sched) module was developed to provide shorter total completion time in production scheduling. The module was integrated with the Faborg-Sim simulation tool. As a case study, a heating boiler manufacturing system was analyzed and simulated with six products and customers’ orders by using production data from the PRGA-Sched module in Faborg-Sim. The results showed that a shorter total completion time is obtained and saved than the initial situation by via PRGA-Sched module.

Degree of greyness approach for an EPQ model with imperfect items in a copper wire industry

Erdal Aydemir, Fevzi Bedir, Gultekin Ozdemir
Journal Paper SCI-E Journal of Grey System, 27 (2), pp. 13-26.

Abstract

Economic production quantity (EPQ) models must have been developed to determine the optimal production quantity which included the different uncertainty of the manufacturing systems even though they were to be deterministic, such as variations of demand and related cost values etc. Also we know that the basic assumption of EPQ model is that 100% of manufactured products are non-defective and no shortages.

In this paper, we aimed to develop an EPQ model which has been extended with grey demand rate, grey cost values and allowed maximum backorder level under imperfect items in a copper wires manufacturing system by using degree of greyness approach. Here, the imperfect items have been defined as three levels: good quality, low quality and scrap items. The degree of greyness value has been placed to whitenization coefficient for each parameter and the whole system separately. The mathematical model has been developed and the results are considered with the behaviors of the system under the uncertainty with a practical case studies of a copper wire production system.

Forecasting of Turkey’s Natural Gas Demand Using Artifical Neural Networks and Support Vector Machines

M Onur Olgun, Gultekin Ozdemir, Erdal Aydemir
Journal Paper SCI-E Energy Education Science and Technology Part A: Energy Science and Research, 30 (1), pp. 15-20.

Abstract

The basis for energy management is to estimate the demand for energy as accurately as possible and without error. There are many studies related to demand forecasting in the literature. In this study, the support vector machines and artificial neural networks models were used to estimate the natural gas demand of Turkey. The correct forecasting of natural gas consumption plays an important role for the amount of natural gas production, and to reveal import and export policies. A natural gas consumption model is developed by using the data from years between 1985 and 2000 where gross national product and population are independent variables in Turkey. This model is used to estimate the natural demand for years 2001 and 2006 and results are compared with real consumptions. Then, statistical analyses are conducted and the results are compared with studies in the literature. In conclusion, it is observed that support vector machines have less statistical error comparing to artificial neural networks for demand estimation of natural gas consumption in Turkey. The models which are obtained by using support vector machines are run for four different scenarios and the natural gas demand forecasts are obtained for Turkey until year of 2030.

The Simulation-Based Performance Measurement in An Evaluation Module for Faborg-Sim Simulation Software

H Ibrahim Koruca, Gultekin Ozdemir, Erdal Aydemir, Muhammed Cayirli
Journal Paper SCI-E Expert System with Applications, 37 (12), pp. 8211-8220.

Abstract

It is possible to evaluate production system performance measurement and organizational alternative structures with dynamic simulation methods for efficiency of cost and productivity. The parameters which are vary for different organizational structures and scope of production systems are examined in a mutual simulation-based performance measurement system. In general, the simulation-based performance measurement criteria are lead time, lead time deviation, utilization rate, and work-in-process as goal achievements of logistics and delivery rate in performance evaluation module.

In this study, an evaluation module is developed and integrated to system simulation results as a part of the research project of ‘‘Development of Simulation Software for Facility Organizing, Production System Structuring, and Performance Measuring (Faborg-Sim)” at Suleyman Demirel University Industrial Engineering Department which is supported by The Scientific and Technological Research Council of Turkey(TUBITAK).

Development of Flexible Work Flow Plan Editor in Faborg-Sim and Operations Scheduling on Gantt Charts

H Ibrahim Koruca, Gultekin Ozdemir, Erdal Aydemir, Muhammed Cayirli
Journal Paper SCI-E J. Fac. Eng. Arch. Gazi Univ., 25 (1), pp. 77-81.

Abstract

System information can be transferred into computer environment with more accuracy than ever before and simulation can be used efficiently with the development of object oriented programming. It is important integration of system data into the software by using work flow plan drawings with scheduling of simulation results on a Gantt diagram when searching alternative structure and flow organizations in simulation of production systems. In this study, a flexible work flow editor is developed to model system data and work processes and to draw real time Gantt diagrams as a part of the research project of “Development of Simulation Software for Facility Organizing, Production System Structuring, and Performance Measuring (Faborg-Sim)” which is supported by TUBITAK-MAG.

Invetory Management and Extensions: A review of EPQ Models.

Erdal Aydemir
Journal Paper Anadolu University Journal of Social Sciences, 15 (3), pp. 97-112.

Abstract

Economic Production Quantity (EPQ) models search two important questions which are how much and when have to produce. The research on EPQ models is still important for many industries under different assumptions on EPQ models. In this paper, the scientific literature of the inventory management and its extensions where is mostly liked for EPQ models are mentioned with historical review by using national and international databases with indexes. The shortages, backordering, imperfect items, quality control and errors, learning curves, financial effects, and uncertainties are mostly seen in this research area for modeling on classical EPQ from the literature since 2000. Thus, we think that the real life problems are well defined by these proposed models. Today, the modelling of the stochastic, fuzzy logic, grey system theory and meta-heuristics methods are used for large scale EPQ models. However, in the conclusion of this paper, for industrial practitioners and researchers the new research areas are discussed and presented which are dynamic, vendor-buyer, outsourcing, cancellation of orders, emergency orders, inventory routing, recycling process and close-loop supply chains for EPQ models.

An EPQ model with imperfect items using interval grey numbers

Erdal Aydemir, Fevzi Bedir, Gultekin Ozdemir, Abdullah Eroglu
Journal Paper An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 5 (1), pp. 21-32.

Abstract

The classic economic production quantity (EPQ) model has been widely used to determine the optimal production quantity. However, the analysis for finding an EPQ model has many weaknesses which lead many researchers and practitioners to make extensions in several aspects on the original EPQ model. The basic assumption of EPQ model is that 100% of manufactured products are non-defective that is not valid for many production processes generally.The purpose of this paper is to develop an EPQ model with grey demand rate and cost values with maximum backorder level allowed with the good quality items in units under an imperfect production process. The imperfect items are considered to be low quality items which are sold to a particular purchaser at a lower price and, the others are reworked and scrapped. A mathematical model is developed and then an industrial example is presented on the wooden chipboard production process for illustration of the proposed model.

Development of New Loan Payment Models with Piecewise Geometric Gradient Series

Erdal Aydemir, Ramazan Eroglu
Journal Paper Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 29 (2), pp. 95-106.

Abstract

Engineering economics plays an important role in decision making. Also, the cash flows, time value of money and interest rates are the most important research fields in mathematical finance. Generalized formulae obtained from a variety of models with the time value of money and cash flows are inadequate to solve some problems. In this study, a new generalized formulae is considered for the first time and derived from a loan payment model which is a certain number of payment amount determined by customer at the beginning of payment period and the other repayments with piecewise linear gradient series. As a result, some numerical examples with solutions are given for the developed models.

A priority rule based production scheduling module on Faborg-Sim simulation tool

H Ibrahim Koruca, Erdal Aydemir
Journal Paper Gazi University Journal of Science, 27 (4), pp. 1143-1155.

Abstract

This paper presents the development of a priority, rule-based, a production scheduling module for the Faborg-Sim simulation tool with ten priority rules. Faborg-Sim consists of three modules, i.e., modelling, simulation, and performance evaluation. In this study, a detailed conceptual framework was defined and a case study was modelled and evaluated for a machine parts manufacturing system by using Faborg-Sim. The simulations were run using only six selected priority rules for the information on customers’ orders in order to integrate the scheduling module in Faborg-Sim. Simulation models were run separately for each priority rule of scheduling to obtain the best performance of the production schedule. After repeating the simulations, performance measurement parameters were obtained and evaluated on a relative basis.

Early Strategic Guidance for Higher Vocational School Students using Support Vector Machines

Sezai Tokat, Kenan Karagul, Erdal Aydemir
Journal Paper International Journal on New Trends in Education and Their Implications (IJONTE),ISSN 1309-6249, 5 (3), pp. 160-169.

Abstract

Academic guidance and orientation is important for vocational schools. In this study, data set of vocational school students are obtained from student affairs central database. The data is filtered and gender, age, geographical region student came from, high-school type, a special high school score of vocational high school student that is used for entering vocational school without exam, and school registration type are taken as six inputs. Academic success and graduation length are the two outputs that are aimed to be predicted. Based on these chosen input and output information, a model is aimed to be developed in order to help advisors in improving academic success and shortening graduation length of their students. Support vector machines based artificial intelligence technique is used. Input sensitivity analyses are also conducted. It is seen from the analyses that academic success and graduation length are both highly affected by gender. Also, academic background has also effect on two outputs in different manners. From the analyses, it can be concluded that the advisors can orient or guide students based on the SVM outputs.

Improving of an Artificial Neural Networks Forecasting Model for Determining of The Number of Calls in 112 Emergency Call Center

Erdal Aydemir, Meltem Karaatlı, Gokhan Yılmaz, Serdar Aksoy
Journal Paper Pamukkale University Journal of Engineering Sciences, 20(5), pp. 145-149.

Abstract

Forecasting studies are extremely important in the technical, social and economic research. Generally, we know it is very difficult to forecast with higher accurate about a system by using recent values. In the scientific literature, the forecasting studies of energy, personnel planning, production planning, climate changes, sales and marketing and economics etc. are frequently found. In this paper, for an emergency calls center in Isparta province of Turkey an artificial neural network (ANN) forecasting model was developed to determine the number of calls for as health, fire and security services on a pilot implementation of the emergency calls center on a single number 112. In the developed model, the gradient descent with adaptive learning and momentum (GDX) algorithm is selected as the training algorithm with feed-forward back-propagation by using 80% of input data and the 20% of input data is used for testing set data from last month. After the testing, the mean absolute percentage error (MAPE) rate is obtained as 4.5% and it is useful to test. In addition, the forecasting results of the next month are shown that the MAPE values are 2.65%, 6.40% and 5.24% with ANN, trend analysis and ARIMA (1 1 1) models respectively and, the number of calls are found separately on the types of calls in daily. Consequently, the developed model by using ANN to forecast the number of calls in an emergency call center is more accurate than the trend analysis and ARIMA models.

Generalized Formulae for the Periodic Fixed and Geometric-Gradient Series Payment Models in a Skip Payment Loan with Rhythmic Skips

Abdullah Eroglu, Erdal Aydemir, Yusuf Sahin, Kenan Karagul, Nigar Karagul
Journal Paper Journal of Alanya Faculty of Business, 5(3), pp. 87-93

Abstract

Nowadays, the periodic level payment model is the most widely used loan payment model by the banks. In addition, the periodic geometric and linear gradient payment models are available in the financial mathematics books. The arbitrary skip periodic level (or equal) loan payment model was firstly developed by Formato (1992). Formato’s model was extended to the geometric gradient loan payment model by Moon (1994) and the linear gradient model by Eroglu and Karaoz (2002). This loan payment models that have periodic level and geometric gradient series payment with rhythmic skips instead of arbitrary skips have been discussed. General formulae have been derived for these models. Numerical examples are solved to show the practical application of the developed payment models on home financing.

Grey System Theory and Applications: A Literature Review

Erdal Aydemir, Fevzi Bedir, Gultekin Ozdemir
Journal Paper Suleyman Demirel University The Journal of Faculty of Economics and Administrative Sciences, 18(3), pp. 187-200

Abstract

The developments in science and technology have led to different systems theories during the last century. In particular, the grey system theory which does not need any statistical distribution has been proposed to analyze and to model increasingly complex systems with missing information and / or with incomplete information and a small sampling. In this study, a detailed literature review has been conducted for the grey system theory and its applications covering the last fifteen years. Consequently, the further research areas and some recommendations are proposed about grey system theory in terms of academic teaching and industrial research.

Cargo Distribution Problems: A Case Study of Isparta City

Kenan Karagul, Erdal Aydemir
Journal Paper Journal of Trends in the Development of Machinery and Associated Technology, 17(1), pp. 149-152

Abstract

The vehicle routing problem (vrp) is related to service a number of customers with a fleet of vehicles. In real life, the applications of transportation, distribution and logistics are mostly studied as a research area for scientists and industrial practitioners. In this study, the cargo distribution problem has been presented by using vrp procedures for a cargo company in Isparta City, Turkiye. The 400 customer points and their requirements are only served from two branch offices of a cargo company. Firstly, the customer points are clustered to Euclidean distance matrices and in the second phase, the distribution plans are computed via vrp approach. As a result, the solutions are obtained and the distribution plans are offered to the cargo company under cost and fleet minimization.

The Grey System Approaches for Demand Forecasting

Erdal Aydemir, Fevzi Bedir, Gultekin Ozdemir
Journal Paper Journal of Trends in the Development of Machinery and Associated Technology, 17(1), pp. 105-108

Abstract

The customer demand is one of the main trigger functions for industrial production and the demand forecasting is also very important with high accuracy. The main objective of the study is the advantages of grey systems forecasting modelsinspite of the trend analysis, moving average, exponential smoothing, Holt-Winters and ARIMA (1,1,1) models are used as known forecasting models.The grey GM(1,1) forecasting (GTM_GM(1,1)), adaptive grey forecasting (AGTM) and trigonometric grey forecasting (TGTM) models are developed for a copper wires production system. The production data of 18 periods as hourly are used for obtaining the forecasting equations and their performances are evaluated between periods 19-24 with mean absolute percentage error (MAPE) value. The next period as 25th period demand value is forecasted by using the best forecasting equation. The best result is shown on the TGTM model that has the best MAPE value as 5.3775 % and the forecast value of 25th period is obtained as 2930.1020 tons.

A Research on Simulation-based Personnel Planning and Organizational Restructure in Electricity Maintenance Unit at City of Isparta

H Ibrahim Koruca, Erdal Aydemir, Arzu Oktay, Neslihan Ugurlu
Journal Paper Suleyman Demirel University Journal of Natural and Applied Sciences, 15 (3), pp. 218-223

Abstract

In order to have minimum waiting times in repair and maintenance units process and staff planning requirement gets important. Breakdown could cause system to be stopped in complex and connected systems. Efficient use of resources is a requirement for minimum repair and maintenance times, minimum costs and quality and permanence of service. Customer-oriented, direct interaction and right personnel planning, service delivery on time and service quality move customer satisfaction to high levels in service systems. Longer waiting times that have negative effect on customer satisfaction lower quality of service make process improvement and organization planning mandatory.In this study, breakdown maintenance process of Electricity Maintenance Unit of Isparta has been modelled with simulation software Arena 10.0. Daily breakdowns by using phone calls are reported to the maintenance staff and repaired. Breakdowns are classified and according to breakdown types maintenance times and reach times to breakdowns are calculated, then determined their statistical distribution. System has been simulated for a month with obtained real data. The aim of study is to minimize queue waiting times and maximize number of repaired breakdowns and staff utilization rate. Alternative system scenarios have been developed for eliminating negative factors. Performance of staff has been compared to simulation results.

Evaluation of Working Life Quality for a Textile Company in Turkey: A Case Study

H Ibrahim Koruca, Sascha Stowasser, Gultekin Ozdemir, Hikmet Orhan, Erdal Aydemir
Journal Paper Gazi University Journal of Science, 24 (1), pp 101-112

Abstract

In order to have minimum waiting times in repair and maintenance units process and staff planning requirement gets important. Breakdown could cause system to be stopped in complex and connected systems. Efficient use of resources is a requirement for minimum repair and maintenance times, minimum costs and quality and permanence of service. Customer-oriented, direct interaction and right personnel planning, service delivery on time and service quality move customer satisfaction to high levels in service systems. Longer waiting times that have negative effect on customer satisfaction lower quality of service make process improvement and organization planning mandatory.In this study, breakdown maintenance process of Electricity Maintenance Unit of Isparta has been modelled with simulation software Arena 10.0. Daily breakdowns by using phone calls are reported to the maintenance staff and repaired. Breakdowns are classified and according to breakdown types maintenance times and reach times to breakdowns are calculated, then determined their statistical distribution. System has been simulated for a month with obtained real data. The aim of study is to minimize queue waiting times and maximize number of repaired breakdowns and staff utilization rate. Alternative system scenarios have been developed for eliminating negative factors. Performance of staff has been compared to simulation results.

Undergraduate

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    END-101 Introduction to Industrial Engineering

    Weeks
    Subjects
    1
    Overview of Industrial Engineering
    2
    Information Management, Competition, Strategy and Productivity
    3
    Fundamentals of Statistics an Forecasting Methods
    4
    Production Systems and Facility Planning
    5
    Work Study
    6
    Quality Engineering and Total Quality Management
    7
    Process Management
    8
    Fundamentals of Operational Research
    9
    Manufacturing Resources Planning
    10
    Production Planning
    11
    Scheduling
    12
    Inventory and Supply Chain Management
    13
    Simulation
    14
    Intelligence Manufacturing Systems

    Materials
    - Lecture Notes
    - Book: (Turkish) Oztemel, E. (Editor), Introduction to Industrial Engineering, Papatya Publishing, 2012.
    - Book: (English) Zandin, K., Maynard's Industrial Engineering Handbook , Mc-Graw Hill, 2001.
    - Industrial Case Studies from Scientific Literature
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    END-105 Applications of Industrial Engineering

    Weeks
    Subjects
    1
    Overview to Applications of Industrial Engineering
    2
    See the Whole and Systematical Approach
    3
    Case Study: Supersized Earth
    4
    Case Study: Home Appliances Production Systems
    5
    Case Study: Truck Production Systems
    6
    Case Study: Automobile Production Systems
    7
    Case Study: Aeroplane Production Systems
    8
    Case Study: Robotics
    9
    Case Study: Factory Cities
    10
    Case Study: Modern Times (Charlie Chaplin)
    11
    Case Study: Fundamentals of Scientific Management (FW Taylor)
    12
    Case Study: The Goal (E. Goldratt)
    13
    Technical Report Writing
    14
    An Industrial Technical Visit

    Materials
    - Lecture Notes
    - Industrial Videos
    - Industrial Case Studies from Scientific Literature
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    END-331 Project Management

    Weeks
    Subjects
    1
    Introduction to Project Management
    2
    Gantt Diagrams and Work Breakdowns Structures
    3
    Critical Path Method (CPM)
    4
    Program Evaluation and Review Technique (PERT)
    5
    Resource Management
    6
    Budget and Cost Management I
    7
    Budget and Cost Management II
    8
    Software Applications I
    9
    Software Applications II
    10
    Software Applications III
    11
    Software Applications IV
    12
    Project Presentations I
    13
    Project Presentations II
    14
    Project Presentations III

    Materials
    - Lecture Notes
    - Book: (Turkish) Dirlik, Y., MS Project 2013, Kodlab Publishing, 2014.
    - Book: (English) PMI, A Guide to the Project Management Body of Knowledge: PMBOK(R) Guide, 2013.
    - Papers from Scientific Literature
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    END-334 Modern Production Systems

    Weeks
    Subjects
    1
    Introduction to Production
    2
    Tradionational Production Systems
    3
    MRP I, MRP II and Production Scheduling
    4
    Job-Shop Production Systems
    5
    Flow-Shop Production Systems
    6
    Quality Engineering and Total Quality Management
    7
    Group Technology
    8
    Flexible Manufacturing Systems
    9
    Expert Systems
    10
    Lean Manufacturing I
    11
    Lean Manufacturing II
    12
    Agile Manufacturing
    13
    Computer Integrated Manufacturing (CIM)
    14
    Enterprise Resources Planning (ERP)

    Materials
    - Lecture Notes
    - Papers from Scientific Literature
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    END-356 Inventory Theory

    Weeks
    Subjects
    1
    Introduction to Inventory Management
    2
    Demand Forecasting I
    3
    Demand Forecasting II
    4
    Demand Forecasting III
    5
    Inventory Control
    6
    Deterministic Inventory Models I
    7
    Deterministic Inventory Models II
    8
    Deterministic Inventory Models III
    9
    Stochastic Inventory Models I
    10
    Stochastic Inventory Models II
    11
    Master Production Scheduling
    12
    Lot Sizing I
    13
    Lot Sizing II
    14
    Lot Sizing III

    Materials
    - Lecture Notes
    - Book: (Turkish) Yenersoy, G., Production Planning, Papatya Publishing, 2012.
    - Book: (English) Nahmias, S., Production and Operations Analysis, Mc-Graw Hill, 2006.
    - Papers from Scientific Literature
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    END-437 Decision Analysis

    Weeks
    Subjects
    1
    Introduction to Decision Theory
    2
    Decision Making Process and Decision Trees
    3
    Decision Making Under Risk I
    4
    Decision Making Under Risk II
    5
    Decision Making under Uncertainty I
    6
    Decision Making under Uncertainty II
    7
    Group Decision Making
    8
    Multi Criteria Decision Making (MCDM)
    9
    MCDM - ANP
    10
    MCDM - AHP
    11
    MCDM - ELECTRE
    12
    MCDM - TOPSIS
    13
    MCDM - PROMETHE
    14
    Fundamentals of Game Theory

    Materials
    - Lecture Notes
    - Book: (Turkish) Yildirim B.F. (Editor), Multi Criteria Decision Making Methods, Dora Publishing, 2014.
    - Papers from Scientific Literature

Graduate

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    01END5121 Inventory Systems Management

    Weeks
    Subjects
    1
    Introduction to Inventory Management
    2
    Demand Forecasting I
    3
    Demand Forecasting II
    4
    Demand Forecasting III
    5
    Inventory Control
    6
    Deterministic Inventory Models I
    7
    Deterministic Inventory Models II
    8
    Deterministic Inventory Models III
    9
    Stochastic Inventory Models I
    10
    Stochastic Inventory Models II
    11
    Master Production Scheduling
    12
    Lot Sizing I
    13
    Lot Sizing II
    14
    Lot Sizing III

    Materials
    - Lecture Notes
    - Book: (Turkish) Yenersoy, G., Production Planning, Papatya Publishing, 2012.
    - Book: (English) Nahmias, S., Production and Operations Analysis, Mc-Graw Hill, 2006.
    - Papers from Scientific Literature
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    01END5131 Grey Systems Theory

    Weeks
    Subjects
    1
    Introduction to Grey Systems Theory
    2
    Grey Number and Operations
    3
    Grey Equations
    4
    Grey Sequences
    5
    Grey Incidence Analysis
    6
    Grey Clustering and Statistical Analysis
    7
    Grey System Modelling
    8
    Grey Combined Models
    9
    Grey Prediction Models
    10
    Grey Decision Making Models
    11
    Grey Linear-Nonlinear Programming
    12
    Grey Game Theory
    13
    Grey Input-Output Analysis
    14
    Grey Control Systems

    Materials
    - Lecture Notes
    sss
    - Book: (English) Liu S., Lin Y., Grey Information: Theory and Practical Applications. SpringerVerlag, 2006.
    - Book: (English) Liu S., Lin Y., Grey Systems with Applications. SpringerVerlag, 2010.
    - Industrial Case Studies from Scientific Literature
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    01END5134 Intelligent Forecasting Models

    Weeks
    Subjects
    1
    Introduction to Forecasting
    2
    Statistical Preliminaires
    3
    Causal Methods I
    4
    Causal Methods II
    5
    Time Series Models I
    6
    Time Series models II
    7
    Error Analysis
    8
    Intelligent Forecasting Models: Artifical Neural Networks
    9
    Intelligent Forecasting Models: Fuzzy Logic
    10
    Intelligent Forecasting Models: Grey System Theory
    11
    Intelligent Forecasting Models: Metaheuristics/Matheuristics
    12
    Project Presentations I
    13
    Project Presentations II
    14
    Project Presentations III

    Materials
    - Lecture Notes
    - Book: (English) Makridakis S., et al. Forecasting: Methods and Applications, Wiley, 1998.
    - Papers from Scientific Literature
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    01END6116 Multi Criteria Decision Making

    Weeks
    Subjects
    1
    Introduction to Decision Theory
    2
    Decision Making Process and Decision Trees
    3
    Decision Making Under Risk
    4
    Decision Making under Uncertainty
    5
    Utility Theory and Group Decision Making
    6
    Introduction to Multi Criteria Decision Making (MCDM)
    7
    MCDM - ANP
    8
    MCDM - AHP
    9
    MCDM - ELECTRE
    10
    MCDM - TOPSIS
    11
    MCDM - PROMETHE
    12
    MCDM - GRA
    13
    Fundamentals of Game Theory
    14
    Markov Process

    Materials
    - Lecture Notes
    - Book: (Turkish) Yildirim B.F. (Editor), Multi Criteria Decision Making Methods, Dora Publishing, 2014.
    - Papers from Scientific Literature

At My Office

You can find me at my office (E1-101)located at Engineering Faculty of Suleyman Demirel University, Isparta, TURKIYE

I am at my office every day from 11:00 until 13:00 am, but you may consider a call to fix an appointment.