Oğuzhan Ahmet Arık

Oğuzhan Ahmet Arık
Nuh Naci Yazgan Üniversitesi · Department of Industrial Engineering

PhD

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39
Publications
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137
Citations

Publications

Publications (39)
Article
Purpose This paper aims to provide a promising memetic algorithm (MA) for an unrelated parallel machine scheduling problem with grey processing times by using a simple dispatching rule in the local search phase of the proposed MA. Design/methodology/approach This paper proposes a MA for an unrelated parallel machine scheduling problem where the ob...
Article
Full-text available
Bu çalışma öğrenme ve bozulma etkileri altındaki ortak teslim tarihli tek makine erken/geç tamamlanma çizelgeleme problemini incelemektedir. Öğrenme ve bozulma etkilerinin aynı tek makine erken/geç tamamlanma çizelgeleme problemindeki farklı kombinasyonları incelenmiştir. Bozulma etkisi için doğrusal ve doğrusal olmayan bozulma etkileri dikkate alı...
Article
This paper investigates an unrelated parallel machine scheduling problem with a restrictive common due date. The objective is to minimize the total sum of earliness/tardiness costs. Using some properties of the problem such as V-Shaped property, optimizing start times of machines, and no idle time between successive jobs, we propose effective const...
Article
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Metaheuristic algorithms are solution approaches to solve optimization problems by repeating some algorithmic steps while searching the solution space. The strategy of the metaheuristic includes two basic tactics; exploration for escaping the local optimum and exploitation for the global optimum. The number of solutions while exploring the solution...
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The existing literature documents that computer simulations can reveal how characteristics of micro-level individuals give rise to macro-level phenomena of systemic wholes. This paper seeks to establish such an important simulation-based observation as a theoretical result on a sound foundation. Going beyond addressing when holistic phenomena can n...
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This paper investigates parallel machine scheduling problems where the objectives are to minimize total completion times under effects of learning and deterioration. The investigated problem is in NP-hard class and solution time for finding optimal solution is extremely high. The authors suggested a genetic algorithm, a well-known and strong metahe...
Article
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The success of businesses today is largely dependent on their ability to find solutions to complex problems they encounter. Vehicle selection, which requires considering many objective and subjective criteria, is at the top of these problems. The tramway selection problem of a company operating in the public transport sector in Turkey is discussed...
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This paper integrates forest harvesting and plantation operations considering the industry’s long-term demand. Forest harvesting problem has been still one of the open problems in operational research, and the problem is interesting because forests are nonrenewable natural resources in short term. Each harvested tree must be replanted within a plan...
Article
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Additive manufacturing (AM) is a candidate to be one of the future general-purpose technologies. AM is called with 3D printing, Rapid Prototyping, Direct Digital Manufacturing, layered manufacturing, and/or additive manufacturing. Today, AM is a tool for producing customized small products with small lot sizes. Tomorrow, it will be possible for AM...
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The permutation flow shop scheduling problem has been investigated by researchers for more than 40 years due to its complexity and lots of real-life examples of the problem. Many exact or approximate solution approaches have been presented for the problem. Among solution approaches in the literature, iterated greedy algorithm and its variants are t...
Article
In this paper, permutation flow shop scheduling problems (PFSS) are investigated with a genetic algorithm. PFSS problem is a special type of flow shop scheduling problem. In a PFSS problem, there are n jobs to be processed on m machines in series. Each job has to follow the same machine order and each machine must process jobs in the same job order...
Article
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One of the most important problems faced in supply chain management is the coordination between supply chain members. Supply chain contracts, such as buyback contract, quantity-flexibility contract, revenue sharing contract, etc., can be used for solving this problem. In revenue sharing contracts, the manufacturer applies a low wholesale price to t...
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This paper investigates permutation flow shop scheduling (PFSS) problems under the effects of position-dependent learning and linear deterioration. In a PFSS problem, there are n jobs and m machines in series. Jobs are separated into operations on \( m \) different machines in series, and jobs have to follow the same machine order with the same seq...
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In recent researches, it is emphasized that the problem of hunger has come up with the rapidly increasing population all over the world and therefore the importance of agricultural production is increasing. However, the spatial loss and structural deterioration of agricultural production in agricultural lands is an important problem. The most impor...
Article
Full-text available
This paper investigates unrelated parallel machine scheduling problems where the objectives are to minimize total weighted sum of earliness/tardiness costs. Three different metaheuristic algorithms are compared with others to determine what kind (swarm intelligence based, evolutionary or single solution) of metaheuristics is effective to solve thes...
Article
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Most of today's optimization efforts aim to reduce costs, time or the number of resources used. However, optimization efforts should consider other factors as important as these, such as facilitating the lives of the disabled, elderly and pregnant and helping them in their daily lives. In this study, the Nuh Naci Yazgan (NNY) University (Kayseri/Tu...
Article
Purpose This paper presents a mixed-integer programming model for a single machine earliness/tardiness scheduling problem where the objective is to minimize total earliness/tardiness duration when the uncertainty of parameters such as processing times and due date is coded with grey numbers. Design/methodology/approach Grey theory and grey numbers...
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Full-text available
This paper proposes a single machine/processor scheduling problem considering uncertain processing times under job deterioration and learning effect. In order to express uncertainty of parameters such as processing times, effects of deterioration and learning, fuzzy numbers are used. The objective function in this study is to minimize the makespan...
Conference Paper
We investigate holistically a business system, consisting of market invitations, a firm’s supply chain ecosystem, innovative recognition of market signals, and consequent challenges the ecosystem faces. We show that a firm’s upstream component and downstream complement challenges place respectively a cap on the ‘value’ the firm can create and captu...
Conference Paper
This paper studies holistically the supply-chain ecosystem of a focal firm, when the firm innovatively deciphers a market invitation. It employs the thinking logic and methodology of systems science to establish a series of generally true conclusions regarding the challenges facing either the suppliers or the complementors. In particular, this pape...
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Full-text available
Natural gas is one of the most important energy sources in the world because it is cheaper and cleaner than most of its alternatives. Therefore, natural gas is used for residential and industrial purposes such as heating, electricity generation and manufacturing. Although Turkey has its own resources to meet the demand for natural gas, most of the...
Article
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This paper proposes a mixed integer non-linear programming (MINLP) for project scheduling and staff allocation problem with time-dependent learning effect considering task similarities for learning. Resources of a project, especially staffs, can learn from previous tasks if those tasks and the current task are similar. Considering similarities amon...
Article
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Purpose: The purpose of this paper is to present a mixed integer programming model for simple assembly line balancing problems (SALBP) with Type 1 when the annual demand and task durations are uncertain and encoded with grey numbers. Design/methodology/approach: Grey theory and grey numbers are used for illustrating the uncertainty of parameters i...
Article
Full-text available
This paper investigates single machine earliness/tardiness problem considering the decision maker’s tolerances for earliness and tardiness durations in case of a restrictive common due date. In many classical or basic earliness/tardiness problems, due dates are accepted as deterministic or rigid numbers. In this paper, common due date in a single m...
Article
Full-text available
Project scheduling has been still one of the hottest topics in the management area. The goal of traditional project management is to complete the project at the earliest possible time in accordance with the available resources without violating priority relations of the activities involved. Unlike traditional project management, this study deals wi...
Conference Paper
Bu ¸çalışma, Türkiye’nin doğal gaz talep projeksiyonunu tahmin etmek için bir Genetik Algoritma (GA) önermektedir. Türkiye, ısınma, elektrik üretimi ve üretim sektörü için kendi kaynaklarına sahip olsa da; ihtiyaç duyulan doğal gaz miktarının büyük kısmı diğer ülkelerden ihraç edilmektedir. 1980 yıllarda başlayan üretim odaklı büyüme modeli ile Tür...
Conference Paper
This paper presents a Memetic Algorithm (MA) algorithm to forecast natural gas consumption of Turkey. Although Turkey has its own resources to produce natural gas for heating, producing electricity and production; the most of the needed natural gas amount is exported from other countries. Therefore approximate forecasting of vital energy sources su...
Article
This paper proposes a credibility based chance constrained programming approach for project scheduling problems with fuzzy activity durations where the objective is to minimize the fuzzy project completion time. This paper expresses the fuzzy events such as a project activity's duration or project completion time with fuzzy chance constraints and t...
Article
Full-text available
This paper proposes a credibility based chance constrained programming approach for project scheduling problems with fuzzy activity durations where the objective is to minimize the fuzzy project completion time. This paper expresses the fuzzy events such as a project activity’s duration or project completion time with fuzzy chance constraints and t...
Chapter
This chapter presents a mixed integer non-linear programming (MINLP) model for a fuzzy parallel machine scheduling problem under fuzzy job deterioration and learning effects with fuzzy processing times in order to minimize fuzzy makespan. The uncertainty of parameters such as learning/deterioration effects and processing times in a scheduling probl...
Conference Paper
In this paper, historical data of stocks in the XU030 index of BIST are examined by considering their trends and seasonal behaviors in order to forecast next five year’s stock prices by using ARIMA or seasonal ARIMA technique. Then, a mixed integer programming model is executed for generating a portfolio management for next five years. The proposed...
Article
Full-text available
Bu çalışmada tek makine ortamında bulanık bozulma ve öğrenme etkileri altında ağırlıklı erken/geç tamamlanma maliyetlerinin en aza indirilmesi amaçlanmaktadır. Probleme konu olan teslim tarihleri, işlem süreleri, öğrenme etkisi katsayıları ve bozulma etkisi katsayıları belirsizlik altındadır ve belirsizliği modelleyebilmek için üçgen bulanık sayıla...
Conference Paper
This paper proposes a mixed integer programming approach for seasonal anomalies in stock markets and presents a case study for the XU030 index in the stock market of Istanbul Stock Exchange (BIST). Stock markets are significant for economies of countries all over the world. Investors get economical wealth or lose some of their investment by selling...
Article
This research is to develop an approximate solution for a flow shop scheduling problem under the effects of fuzzy learning and deterioration with a common fuzzy due date by applying genetic algorithm technique. Real life is complex and filled with ambiguity and uncertainty. Due dates may not be always determined by a decision maker because of their...
Article
This paper investigates a multi-objective parallel machine scheduling problem under fully fuzzy environment with fuzzy job deterioration effect, fuzzy learning effect and fuzzy processing times. Due dates are decision variables for the problem and objective functions are to minimise total tardiness penalty cost, to minimise earliness penalty cost a...
Article
In this paper, we consider single machine scheduling problems under position-dependent fuzzy learning effect with fuzzy processing times. We study three objectives which are to minimize makespan, total completion time and total weighted completion time. Furthermore, we show that these three problems are polynomially solvable under position-dependen...
Conference Paper
Bu çalışma içerisinde permütasyon akış tipi çizelgeleme problemlerinin sıra bağımlı öğrenme ve doğrusal bozulma etkileri altında maksimum tamamlanma sürelerine bağlı performans kriterinin en iyilenmesinde genetik algoritma (GA) ve ısıl işlem algoritması (IİA) kullanımının performanslarının ölçülmesi amaçlanmıştır. Çalışma içerisinde Taillard’ın akı...
Conference Paper
This research is to develop an approximate solution for a flow shop scheduling problem under the effects of fuzzy learning and deterioration with a common fuzzy due date by applying genetic algorithm technique. Real life is complex and filled with ambiguity and uncertainty. Due dates may not be always determined by a decision maker because of their...
Conference Paper
Bu çalışmada tek makine ortamında bulanık bozulma ve öğrenme etkisi altında erken tamamlanma ve geç kalma sürelerinin toplamlarını en aza indirecek şekilde teslim tarihi ataması yapılacaktır. Probleme konu olan parametrelerin çoğu üçgen bulanık sayıları ile ifade edilmiştir. Belirsizlik parametrelere ait değerlerin rassal olarak ifade edilmesi deği...

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