Orhan Torkul

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• Doctor of Philosophy
• Professor (Full) at Sakarya University

Chicken meat plays an important role in the healthy diets of many people and has a large global trade volume. In the chicken meat sector, in some production processes, traditional methods are used. Traditional chicken part sorting methods are often manual and time-consuming, especially during the packaging process. This study aimed to identify and...

Early prediction of student performance is a critical and challenging task in the field of Educational Data Mining (EDM), encompassing all levels of education. Although there is extensive literature on student performance within EDM, studies specifically focused on early prediction are limited and mostly rely on traditional machine learning methods...

This study aims to design an innovative method to evaluate the effects of line-seru conversion in terms of various environmental and economic performance criteria. For this purpose, an integrated approach using simulation and data envelopment analysis (DEA) assisted with various performance criteria is proposed for the first time. The simulation st...

Uzun imalat süreleri, süreç içi stokların yüksek olması ve tezgahlardan yararlanma oranlarının düşük olması üretim sistemlerinde karşılaşılan önemli planlama problemlerindendir. Bunların içerisinde, imalat sürelerinin uzun olması dolayısıyla sipariş gecikmelerinin meydana gelmesi önemli problem alanlarından birisidir. Bu çalışmada, çelik sektöründe...

The Seru production system is an innovative assembly system that combines the flexibility of shop floor production and the high efficiency of assembly lines. In addition to its advantages, seru-type production has the disadvantage that all the tasks required for the assembly of a product are completed in a yatai by a cross-trained worker. This resu...

This data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent family setup and intercellular transportation times, and recirculation requiring minimization of makes...

In this study, instance selection was made using the fuzzy rough set based instance selection method, which is the main indicator of heart disease risk, with the finding of a certain narrowed main cardiovascular number and some other medical findings. Then, with the help of machine learning algorithms, a heart disease risk estimation model was deve...

With the development of computer technology, data and database structure and information systems have become widespread. For a distributed and dynamic environment, it is essential to realize the requirements of daily life in a short time. This study proposes the response model of the municipal system based on big data. It enables how significant so...

While the development of technology and internet infrastructure facilitates many aspects of daily life, it does so based on the processes and data running in the background. With the development of information and communication technology, changes and improvements in people's lives have also had a great impact on Intelligent Transportation Systems....

Seru production system is an innovative assembly system and combines the flexibility of job shop production and high efficiency of assembly lines. This production system easily adapts to product replacements, reduces product wastages by eliminating work-in-process inventories and delay time, and provides enterprises with a competitive advantage thr...

Engine tests are both costly and time consuming in developing a new internal combustion engine. Therefore, it is of great importance to predict engine characteristics with high accuracy using artificial intelligence. Thus, it is possible to reduce engine testing costs and speed up the engine development process. Deep Learning is an effective artifi...

Enterprises can use different methods/principles to obtain competitive advantages. Information sharing (IS) among supply chain (SC) partners is also one of these methods used in enterprises and it has positive effects on overall system performance like reduced inventory level, decreased cost, bullwhip effects and increased profit. In this paper, ou...

The multi-objective flexible job shop scheduling in a cellular manufacturing environment is a challenging real-world problem. This recently introduced scheduling problem variant considers exceptional parts, intercellular moves, intercellular transportation times, sequence-dependent family setup times, and recirculation requiring minimization of mak...

Digital transformation has provided the decision-making infrastructure needed to produce custom solutions for each person. Traditional decision support systems have begun to evolve into intelligent systems and mass customization has begun to be applied in many areas of life, such as education, transportation, health, and production. In order to ach...

In this paper, we proposed novel mathematical models involving both single and bi-objective functions that deal with a flexible job shop scheduling problem in cellular manufacturing environment by taking into consideration exceptional parts, intercellular moves, intercellular transportation times, sequence-dependent family setup times, and recircul...

Databases use the data and evaluate managerial decisions in the process of data mining, and it has become imperative that we give the name of the emergence of the field. The rough set is a concept derived from the fuzzy logic approach to carry out the analysis of structures with uncertain data mining techniques. The decision will be developed in co...

Today, suppliers of companies are no longer local. Companies have to offer their products to the market just in time and as fast as possible in order to compete. This situation is possible by establishing an effective supply chain for the goods and services they need in the manufacturing system. Finding the right suppliers who are able to provide t...

Human, machine, material, money, information, and environmental factors have important effects in the creation and persistence of investments. These elements are the basic sources that businesses need. Without regarding to the resources needed, the sustainability of the investments to be made solely by considering the size of the sector or the mark...

The increasing use of computers and information are getting necessity with increased expertise and digital data storage, that becomes compulsory and importance for usage. Rapidly increasing data traffic has revealed a major case for efficient manner with the use of the big data. Developed algorithm and suggested model can help using of the data in...

Variance of demand is one of the inevitable problems in the manufacturing environment. Market conditions and competition force companies reducing costs. Different approaches and methods have been developed to remedy these problems. Common points of these approaches are utilizing resources and responding in the shortest time possible. To achieve bet...

Today, suppliers of companies are no longer local. Companies have to offer their products to the market just in time and as fast as possible in order to compete. This situation is possible by establishing an effective supply chain for the goods and services they need in the manufacturing system. Finding the right suppliers who are able to provide t...

Cell formation is one of the most important problems faced in designing cellular manufacturing systems. Fuzzy c-means (FCM) has been successfully used to solve a variety of the cell formation problems because it allows the representation of uncertain information. Many products or parts to be manufactured in the real world have alternative routes. T...

This study proposes a multi-choice goal programming for the single machine scheduling problem of minimizing the weighted number of tardy jobs, the total weighted completion time and makespan with sequence-dependent setup times. In this problem, there are n candidate jobs for processing in a single machine, each job has a weight, a due date, a proce...

Cell formation is one of the most important problems faced in designing cellular manufacturing systems. Fuzzy c-means (FCM) has been successfully used to solve a variety of the cell formation problems because it allows the representation of uncertain information. Many products or parts to be manufactured in the real world have alternative routes. T...

Competition forces manufacturing systems to be flexible and to increase product variety and process complexity. These tasks depend on the flexible design of a bill of materials (BOM), one of the most important inputs in manufacturing planning and control systems. Product variety forces systems to generate BOMs with regard to product properties thro...

This study considers agent based emergency response cognition model. To operate distributed and dynamic environments are inevitable in real life to realize process in a short time. Decision-making processes among autonomous agents can support to solve dynamic and large system problems. This paper presents an agent based emergency response coordinat...

This study proposes a multi-choice goal programming for the single machine scheduling problem of minimizing the weighted number of tardy jobs, total weighted completion time and makespan with sequence-dependent setup times. In this problem, there are n candidate jobs for processing in a single machine, each job has a weight, a due date, a processin...

This paper presents a nonlinear multi-objective mathematical model to obtain quality solutions for design problems of cellular manufacturing systems. The objectives of the multi-objective model are, simultaneously, (1) to minimize the number of exceptional elements among manufacturing cells, (2) to minimize the number of voids in a cell, and (3) to...

This study presents operational decision support software to efficiently solve cell formation problems with multiple routes. The software includes two revised algorithms that assist decision makers in choosing the best cellular layout. These revised algorithms are the multiobjective genetic algorithm that uses two different scalarization methods su...

Information sharing is one of the effective ways for increasing supply chain performance. Sharing of information between customer and supplier, which is needed for planning, provides a global optimization for supply chain. To improve the context of optimization, all manufacturing related processes in an enterprise should be involved. Bullwhip effec...

To assess factors that affect facility layout, fuzzy multi-criteria decision-making technique can be exploited. In particular facility design performance is very important in variable, competitive market conditions, for companies that are able to make manufacturing environments more quickly and agile. In the study, gray relational analysis techniqu...

Bayesian Belief Network (BBN) is a kind of graphical model which provides a compact and main representation of probabilistic data. It represents the relationships among several variables and includes conditional probability distributions that make probabilistic statements about the variables. The probabilistic form of database's learning and classi...

Bayesian Belief Network (BBN) is a kind of graphical model which provides a compact and main representation of probabilistic data. It represents the relationships among several variables and includes conditional probability distributions that make probabilistic statements about the variables. The probabilistic form of database’s learning and classi...

Selection of proper materials for a diverse mechanism is one of the hardest tasks in the design and product improvements in various industrial applications. Materials play a vital and important function during the entire design and manufacturing process. The wrong selection of materials often leads to huge prices and ultimately results in product b...

To assess factors that affect facility layout, fuzzy multi-criteria decision-making technique can be exploited. In particular facility design performance is very important in variable, competitive market conditions, for companies that are able to make manufacturing environments more quickly and agile. In the study, gray relational analysis techniqu...

Object-oriented programming is widely used today because of the facilities provided by the real-life modelling on programming. Due to the different characteristics of complex and dynamic manufacturing systems, accurate modelling of manufacturing systems software is required. With correct modelled manufacturing system software, it is expected to ach...

In this paper application, success or failure of a novel model of distance education, Co-Education model in Sakarya University Department of Industrial Engineering is discussed. A brief literature about distance education models which assumes insignificant difference between formal education and distance education were abstracted. Than a couple of...

The international literature provides little in-depth analysis of distance education and e-learning activities, achievements, and challenges in Turkish higher education other than the country’s mega-university, Anadolu. This paper examines the development of, and lessons to be learned from, such undertakings by three pioneers, two regular state uni...

The importance of supply chain management (SCM) is extremely rising up in the competitive world. The difficulties of managing supply chain (SC) members show that SCM should be examined in an integrated way. Therefore, integrated network structure can be designed at a desired level. Collaboration, corporation and communication between SC networks mu...

There are several methods and techniques for manufacturing cell design. Many clustering techniques have focused on operations that have been made on part-machine matrix. Some methods have used array-based techniques while others have used similarity coefficient or distance criteria in order to determine clusters. It has been seen from the recent re...

The approach taken in this paper is twofold. First manufacturing environment is simplified for the purposes of planning and control without losing any of the essential characteristics. Second, a simple GT model is applied to the shop floor area and real time MRP is applied to the assembly area. The aim of this study is to develop and compare with a...

This paper presents an industrial visual inspection system that uses inductive learning. The system employs RULES-3 inductive learning algorithm to extract the necessary set of rules and template matching technique to process an image. Twenty 3×3 masks are used to represent an image. Each example consists of 20 frequencies of each mask. The system...

During the 1980s various approaches to batch-type manufacturing environments were implemented. The most popular of these were Material Requirements Planning (MRP), Group Technology (GT) and Just-In-Time (JIT). However few successful implementations of any of these approaches were achieved [1] [2] [3]. This paper compares the various approaches of G...

Thesis (Ph. D.)--Cranfield Institute of Technology, 1993.