Erdal Aydemir

T.C. Süleyman Demirel Üniversitesi | SDU · Department of Industrial Engineering

The aim of this study is to examine the use of blockchain technology in supply chain applications and to design a blockchain system for supply chain management in the dairy production industry. In the study, firstly, a review of scientific literature on the use of blockchain technology in the fields of supply chain, internet of things, health and f...

This study's primary contribution lies in exploring the capability of a deep multi-layered Group Method of Data Handling (GMDH)-type artificial neural network model for sales forecasting in the pharmaceutical dataset. Nevertheless, it's worth noting that the reliance on a single dataset can be considered a limitation of this research. Additionally,...

The scope of this study is to highlight simple machine learning approaches that perform better with feature selection and hyperparameter optimization since medical decision support systems should be affordable, efficient, and effective to be accessible. Even though there are many applications on the heart disease data set, there is a deficiency in...

The total milk production worldwide increased by approximately 1.3% in 2019 compared to the previous year, reaching around 51 million tons. Due to the increase in milk production, global milk imports decreased by 1.3% to 1.4 million tons in 2019, while milk exports increased by 10.5% to 1.9 million tons by TEPGE 2020 dataset. This project aims to e...

Image processing, one of the most exciting developments in deep learning, has made significant progress in various fields today. Suspicious behavior detection, social media user sentiment analysis, customer feedback, marketing and sales strategies, and many other areas can now analyze human reactions. Studies on the analysis of facial expressions d...

In this study, the cost difference and/or surplus between the target cost levels achieved by assessing customer expectations based on 12 different criteria with the current cost levels of the manufacturers to the smartphone components were analyzed using quality function deployment and Grey System Theory. At first, the expectations of the consumers...

Üretim sistemlerinin temel amaçlarından biri olduğu gibi otomotiv parçaları üretim sektöründe üretilen ürünler, kusursuz bir şekilde üretilmeli ve olası kusurlu ürünlerin üretimin bir sonraki üretim hattına geçmemesi gerekmektedir. Üretim kalite kontrol süreci genellikle insan faktörü tarafından gerçekleştirilmektedir. Gelişen teknolojiler ile maki...

Freight transportation is the carrying of products from one point to another using any transportation mode. Roads, air, and waterways can be used at different stages of transportation while the freight is moving from the point of origin to the destination. With the increase of competition in global trade, many companies have begun to look for ways...

Kişi başına düşen gayri safi yurtiçi hasıla (GSYİH) ülkelerin gelişmişlik düzeylerini göstermesi açısından bir ölçüt olarak kabul edilse de ekonomik durumun iyi olması refah düzeyinin de iyi olacağı anlamına gelmemektedir. Bunun en önemli nedeni ise insanların refah ve mutluluk algısında maddi olanakların yanı sıra, eğitim, sağlık, kişisel refah ve...

The COVID-19 pandemic, which has significant differences from the major crises that occurred on a global basis, has caused many countries to face financial crises as well as health crises. Not only underdeveloped or developing countries but also developed countries with large economies have suffered from these problems. The closure measure was put...

Support vector machines are used for classification with the input vectors using a decision surface into a high dimensional feature space. In this paper, the mostly known Cobb-Douglas production function is examined the input-output relations in a textile industry. A support vector regression (SVR) model is established to estimate the 17 different...

Traveling salesman problem in which all the vertices are assumed to be on a spherical surface is a special case of the conventional travelling salesman problem. There are exact and approximate algorithms for the travelling salesman problem. As the solution time is a performance parameter in most real-time applications, approximate algorithms always...

In addition to being a medical event, infectious epidemics are an important phenomenon for researchers that negatively affect individuals and societies in many ways. It is possible to encounter many global epidemics in history. However, no epidemic disease experienced before in the history of humanity has caused restrictions on a global basis as mu...

Covid19 has adversely affected many fields of activity from health to education, from economy to social life in the world. Many countries have had to implement strict measures to protect themselves from this virus. Especially after the closure of national/international borders, the domestic and foreign trade activities of countries are among those...

When the indicators in recent years are examined in the developing and renewed economic environment in Turkey, it is seen that the momentum of the natural stone industry and its share in total mining exports have increased steadily. However, the Covid-19 pandemic in 2020, which affected the whole world, also affected the Turkish natural industry. W...

The deadly and contagious disease called Covid19 has spread all over the world and has become a global problem, negatively affecting countries and world economies. Many countries had to take strict measures against the epidemic. Among these measures, strict measures such as closure of country borders, curfew, closure of public living spaces affecte...

A proper CNC machine selection problem is an important issue for manufacturing companies under competitive market conditions. The selection of an improper machine tool can cause many problems such as production capabilities and productivity indicators considering time and money industrially and practically. In this paper, a comprehensive solution a...

Purpose Enterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows t...

Araç rotalama problemi, müşterilere siparişlerini ulaştırmak için minimum maliyetli rota kümesinin belirlendiği optimizasyon problemidir. Son yıllarda çevresel duyarlılıktaki artışla beraber, uygulayıcılar ve araştırmacılar fosil yakıtların çevreye olan etkilerini azaltmak için taşıma faaliyetlerinin çevre ile ilgili özelliklerine odaklanmaya başla...

The financial ratio analysis is an important issue for the stock exchange markets which have many sub-sectoral indexes. During Industry 4.0 revolution and transition, the sector of information and technology is shown as one of the sectors that have great strategic importance in the global change and development process. So, the performance of the i...

Failure mode and effect analysis (FMEA) is a method used to detect causes of failures that may occur in a product or process, and FMEA is more important to prevent a failure before existing by computerized controllers in many industries. The control mechanism must have the ability to calculate and interpret the risk priority number (RPN) value for...

Maturity models help organizations identify the processes of transformation and needs by analyzing the current situation of production systems. Within the scope of Industry 4.0, in this study, several maturity models are used. Five maturity models that are mostly applied are reviewed to determine the maturity model that a manufacturing company woul...

Performance measurements are important motivators in evaluating a company’s strategy. The performance improvement process starts with the measurement of the current situation. Therefore, companies use various metric quantities for the efficiency and productivity of warehouse management. Recently, many studies have been conducted on key performance...

Deep learning is one of the artificial intelligence approaches that has recently become popular for minimizing human error. Deep learning techniques have the ability to successfully detect and interpret with the use of large amounts of data in many areas. Especially, the rapid increase in labeled data accumulated in the field of image processing ha...

Bu çalışmada, geri dönüşüm sürecinde toplanan ürünlerin yeniden üretim yoluyla geri kazanımı esnasında yeniden üretim sürecine dahil olan ürünlerin bir kısmının kusurlu olabileceği durum için yeni bir envanter modeli geliştirilmiştir. Önerilen model, bilimsel yazında yer alan Dobos ve Richter (2004) geri dönüşüm envanter modelinin kusurlu üretim du...

This paper addresses cooperative game theory based bi-objective inventory routing problem, where replenishment plans are assumed as a coalition structure. Particularly, a distribution system is a set of customers that may order a single product from unique wholesalers to satisfy their own demands. When the products are carried from one depot to cus...

Bu çalışmada, geri dönüşüm süreci, kusursuz hale getirilmek için toplanan ürünlerin tamamının ya geri dönüşerek ya da kısmı geri dönüşerek işlendiği ve kalan kısmın ise tamir edildikten sonra geri dönüşüme verilmesi durumunu gösteren bir envanter modeli geliştirilmiştir. Önerilen model geri dönüşüm envanter modelinin tamir durumunu ele alan bir mod...

Uncertain information has complexity for various reasons in real-life decision-making problems in order to be useful information. Therefore, studying the characterization and size measurement of uncertain information is of significant interest. Therefore, the purpose of this paper is to investigate the n-th order level of the degree of greyness for...

Technological developments and changes in customer demands cause businesses to handle business models repeatedly. At this point, canvas business model is used as an analysis method in order to successfully revise the old business models and build new business models on a more solid basis. In the study, a renewal and improvement models are designed...

Bu çalışmada detayları ilerleyen bölümlerde verilen KKO algoritması ile GSP test problem yatağı ele alınmış ve çözülmüştür. Elde edilen çözümler süre ve çözüm kalitesi açısından literatürdeki KKO çözümleri ve başkaca sezgisel algoritmaların çözümleri ile kıyaslanmıştır. Çalışmanın birinci bölümde KKO algoritmasının detayları, ikinci bölümde hesapla...

Purpose The purpose of this paper is to manage the demand uncertainty considered as lower and upper levels for a medium-scale industrial distribution planning problem in a biobjective inventory routing problem (IRP). In order to achieve this, the grey system theory is applied since no statistical distribution from the past data and incomplete infor...

The parameters of decision models are not clearly known and they are not exact for most real-life problems. Therefore, this article presents a model of linear programming with grey interval numbers for right-hand-side parameters under an uncertainty case. The purpose of this article is to compare the results of a fuzzy linear programming model and...

Goal: This paper aims to implement a periodic capacitated vehicle routing problem with simulated annealing algorithm using a real-life industrial distribution problem and to recommend it to industry practitioners. The authors aimed to achieve high-performance solutions by coding a manually solved industrial problem and thus solving a real-life vehi...

Purpose The purpose of this paper is to investigate the relative influences of technical and functional quality levels of service quality and patient satisfaction. In this context, the healthcare service quality and the factors affecting customer satisfaction were evaluated using the grey relational analysis (GRA) method. Design/methodology/approa...

Grey Relational Analysis is a research tool used as part of the gray system theory to show the relationship between factors and variables. In many production processes, to ensure customer satisfaction, product specifications are prioritized, then customer requirements are taken into account and improvements are made. In this study, AHP-weighted gra...

Grey Relational Analysis is a research tool used as part of the gray system theory to show the relation-ship between factors and variables. In many produc-tion processes, to ensure customer satisfaction, product specifications are prioritized, then customer requirements are taken into account and improve-ments are made. In this study, AHP - weighte...

Inventory routing problem combines inventory management and vehicle routing problem. As a real-life distribution system, the furniture roving parts manufacturing company has the 1-depot and 30-customers at 12 periods. The model information involves the demand level, the initial inventory level and maximum inventory level for each customer with the...

The vehicle routing problem (VRP) is a widely studied combinatorial optimization problem in which the aim is to design optimal tours for a set of vehicles with their capacities serving a set of geographically distributed customers. In a capacitated vehicle routing problem (CVRP), each customer has a demand which can be a physical quantity, such as...

This chapter presents a new G-VRP model that aims to reduce the fuel consumption of the vehicle’s gas tank. The fuel consumption of a vehicle is related to total vehicle weight through route and thus, this changes the CO2 levels as a result of the changes of total weight and distance for any arc {i, j} in the route. To minimize CO2 levels, a simula...

Bu çalışmada, Isparta ilinde bulunan Süleyman Demirel Üniversitesi’nin acil durum toplanma yerlerinin belirlenmesi ve üniversite birimlerinin bu toplanma merkezlerine dağıtılması problemi ele alınmaktadır. Isparta ilinde meydana gelebilecek afet durumunda üniversitede profesyonel ekiplerin olay yerine intikal edene kadar geçen sürede, üniversite iç...

A breeder hybrid algorithm consisting of the constitution of nonlinear regression-based breeder genetic algorithm and simulated annealing is proposed for the objective of forecasting the natural gas demand with a smaller error rate. The main aim of this study is to show general natural gas demand forecasting model of the breeder hybrid algorithm ba...

Envanter rotalama problemi, envanter yönetimi ve araç rotalama probleminin bir arada çözümü ile tanımlanır. Araç rotalama problemi ile dağıtım planlaması öncesinde kısıtlar altında envanter yönetimi süreci ile dağıtım miktarları belirlenir. Araç rotalama probleminde genellikle toplam alınan yol minimizasyonu ele alınırken, envanter rotalama problem...

Capacitated vehicle routing problem (CVRP) is NP-Hard and computing exact solutions in real life situations is mostly infeasible. Therefore, heuristic methods are used as an alternative. In heuristic methods the quality of the final solution is directly related with the initial solution space. In this study, artificial physics based optimization al...

Harmony search algorithm that matches the (µ+1) evolution strategy, is a heuristic method simulated by the process of music improvisation. In this paper, a harmony search algorithm is directly used for the travelling salesman problem. Instead of conventional selection operators such as roulette wheel, the transformation of real number values of har...

The basis of the energy management constitutes the forecasting of the need for energy as much as accurate. In this study, a hybrid genetic algorithm-simulated annealing (GA-SA) algorithm based on linear regression has been developed and coded as software to forecast natural gas demand of Turkey. The linear models, which are constructed by using the...

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 model...

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 heuri...

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 heuri...

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 model...

Economic production quantity (EPQ) models are developed to determine the optimal production quantity, which include 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% o f manufactu...

The production companies have to take into account for objectives of the profit maximization and cost minimization for production planning model. At the same time, they must formulate into model as constraints customer orders for their products with the capacity, workforce etc. In the literature, many linear programming model used for solving the p...

Today use of smartphones is rapidly increased and the communication styles are changed with them. Customers who have different priorities in the process of purchasing these smartphones, in this process, the big volume of spending is performed to the smartphone market. Therefore the smartphone needs study on for determining to the best choices in th...

Most of the classical inventory models assumptions are lost their importance and they have been developed as the requirements of the actual industrial variations and applications by via the different models. Recently, the green production is more important for industrial usage as well as the resources and environmental protection policy with higher...

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 ma...

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...

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 evaluate...

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...

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...

Tamir bakım birimlerinde beklemelerin en aza düşürülmesi için süreç ve personel planlamanın gerekliliği ön plana çıkmaktadır. Karmaşık ve birbiriyle bağlantılı sistemlerde arıza tüm sistemin durmasına neden olabilir. Arızaların kısa sürede giderilmesi, maliyetlerin düşürülmesi ve hizmet kalitesinin ve sürekliliğinin sağlanması için tamir bakım süre...

Capacitated vehicle routing problem (CVRP) is NP-Hard and computing exact solutions in real life situations is mostly infeasible. Therefore, heuristic methods are used as an alternative. In heuristic methods the quality of the final solution is directly related with the initial solution space. In this study, artificial physics based optimization al...

Capacitated vehicle routing problem (CVRP) is NP-Hard and computing exact solutions in real life situations is mostly infeasible. Therefore, heuristic methods are used as an alternative. In heuristic methods the quality of the final solution is directly related with the initial solution space. In this study, artificial physics based optimization al...

In this study, considering all production factors, the analysis of the production system and the researches of improvement opportunities, supported by work-study and value stream mapping, are intended at a facility operating in furniture sector in Organized Industrial Zone of Isparta, Turkiye. This study is an improvement model which can be applied...

Günümüzdeki işletmeler bazı fonksiyonları gerçekleştirmek yerine onları dışarıya yaptırmaktadır. Özellikle dış operasyonlar başta olmak üzere yurt-içi, yurtdışı tedarik ve teslimat süreçleri, bazı özel uzmanlık gerektiren imalat veya servis operasyonları bu duruma örnek olarak gösterilebilir. Bu çalışmada, bir üretim işletmesinin müşteri sevkiyatla...

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 practioners. In this study, the cargo distribution problem has been presented by using vrp procedures...

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 models inspite of the trend analysis, moving average, exponential smoothing, Holt-Winters and ARIMA (1,1,1) models are...

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 exte...

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....

Bankalar tarafından en çok kullanılan borç ödeme modeli, sabit taksitli modeldir. Bunun yanı sıra finans matematiği kitaplarında yer alan geometrik ve aritmetik değişimli taksitlerle borç ödeme modelleri mevcuttur. Rastgele atlamalı sabit taksitli borç ödeme modeli Formato (1992) tarafından geliştirildi. Formato’nun modeli; Moon (1994) tarafından g...

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...

The main objective of this study is to analyze the quality of working life (QWL) and current working conditions in cutting and sewing branches of a large Turkish textile factory. A survey is conducted on 87 workers to determine the degrees of QWL in the cutting and sewing workshops. The results show that the factors of levels of education of worker...

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...

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 measuremen...

Due to result of increasing competition in production enterprises, the prices have been determined by customers. So, the product costs must be improved at lack of quality costs except basic costs. Therefore, the enterprises will increase their profits and will sustain manufacturing and organizational processes. An input quality control is a prevent...

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 se...

Due to result of increasing competition in production enterprises, the prices have been determined by customers. So, the product costs must be improved at lack of quality costs except basic costs. Therefore, the enterprises will increase their profits and will sustain manufacturing and organizational processes. An input quality control is a prevent...

In this paper, we reviewed simulation tools in organization and production systems. Simulation is an analysis tool for many applications and processes in these systems. Then, we explained some examples of simulation applications in organization and production systems in a literature review with recommendations. Finally, the most commercial simulati...