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WOS Kategorileri : SCI SCI Eaxp SSCI AH ... ✕İlgili Araştırmacılar : Oğuzhan Ahmet ARIK ✕
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Doç. Dr. Oğuzhan Ahmet ARIKEndüstri Mühendisliği
Erişime Açık

Project staff scheduling with theory of coalition

Oğuzhan Ahmet ARIK | Erkan KÖSE

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 with the possibility of a coalition among the staf available to accomplish tasks of the project. The tasks can be fulflled by more than one staf members. Staf’s coalition shortens the completion time of the tasks. A natural problem that arises in this ...Daha fazlası

Makale/Derleme 2019 GROUP DECISION AND NEGOTIATION 12 Görüntülenme
Erişime Açık

Mixed integer programming approach for seasonal anomalies in stock markets: A case study for BIST

Oğuzhan Ahmet ARIK

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 and buying stocks. Therefore, buying and selling times of stocks are so important. This paper investigates a well-known effect called as ‘Sell in May and Go Away’ by proposing a MIP approach that searches best times for buying and selling of stocks ...Daha fazlası

Makale/Derleme 2018 New Trends and Issues Proceedings on Humanities and Social Sciences 3 Görüntülenme
Erişime Açık

Multi-objective fuzzy parallel machine scheduling problems under fuzzy job deterioration and learning effects

Oğuzhan Ahmet ARIK

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 and to minimise cost of setting due dates. Due date assignment problems are significant for Just-in-Time (JIT) thought. A JIT company may want to have optimum schedule by minimising cost combination of earliness, tardiness and setting due dates. In th ...Daha fazlası

Makale/Derleme 2018 International Journal of Production Research 5 Görüntülenme
Erişime Açık

Goal programming approach for carrying people with physical disadvantages

Oğuzhan Ahmet ARIK | Erkan KÖSE | Gülçin CANBULUT

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/Turkey) personnel transport problems were discussed. The NNY University provides a shuttle service to bring employees to school at the start of the work and to leave them at home after work. In order to shorten the collection / distribution time and th ...Daha fazlası

Makale/Derleme 2020 Promet - Trafic&Transportation 7 Görüntülenme
Erişime Açık

Single machine earliness/tardiness scheduling problem with grey processing times and the grey common due date

Oğuzhan Ahmet ARIK

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 are used for illustrating the uncertainty of parameters in processing times and common due date, where the objective is to minimize the total earliness/ tardiness duration. The paper proposes a 0–1 mathematical model for the problem and an effect ...Daha fazlası

Makale/Derleme 2020 Grey Systems: Theory and Applications 11 Görüntülenme
Erişime Açık

Simple Assembly Line Balancing Problem of Type 1 with Grey Demand and Grey Task Durations

Oğuzhan Ahmet ARIK | Erkan KÖSE

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 in an SALBP, where the objective is to minimize the total number of workstations. The paper proposes a 0-1 mathematical model for SALBP of Type 1 with grey demand and grey task durations. Findings – The uncertainty of the demand and task durations ar ...Daha fazlası

Makale/Derleme 2019 Grey Systems: Theory and Application 8 Görüntülenme
Erişime Açık

Crop pattern determination with mixed integer mathematical programming technique in specific agriculture land: a case study of Turkey

Oğuzhan Ahmet ARIK

Makale/Derleme

Makale/Derleme 2020 FRESENIUS ENVIRONMENTAL BULLETIN 3 Görüntülenme
Erişime Açık

Comparisons of metaheuristic algorithms for unrelated parallel machine weighted earliness/tardiness scheduling problems

Oğuzhan Ahmet ARIK

This paper investigates unrelated parallel machine scheduling problems where the objectives are to minimize total weighted sum of earliness/tardiness costs. Three diferent metaheuristic algorithms are compared with others to determine what kind (swarm intelligence based, evolutionary or single solution) of metaheuristics is efective to solve these problems. In this study, artifcial bee colony (ABC), genetic algorithm and simulated annealing algorithm are chosen as swarm intelligence based algorithm, evolutionary algorithm and single solution algorithm. All proposed algorithms are created witho ...Daha fazlası

Makale/Derleme 2019 EVOLUTIONARY INTELLIGENCE 6 Görüntülenme
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.
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