Dinçer, Mehmet Cemali
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Mehmet Cemali DİNÇER
Mehmet Cemali Dincer
Mehmet Cemali Dinçer
Mehmet Cemali Dincer
Mehmet Cemali Dinçer
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Prof.Dr.
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01.01.09.03. Endüstri Mühendisliği Bölümü
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Documents
9
Citations
236
Scholarly Output
7
Articles
5
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0/0
Supervised MSc Theses
0
Supervised PhD Theses
1
WoS Citation Count
5
Scopus Citation Count
3
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0
WoS Citations per Publication
0.71
Scopus Citations per Publication
0.43
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3
Supervised Theses
1
| Journal | Count |
|---|---|
| International Journal of Industrial Engineering Computations | 2 |
| 7th International Conference on Intelligent and Fuzzy Systems INFUS 2025 | 1 |
| Academic Platform-Journal of Engineering and Science | 1 |
| Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik | 1 |
| Journal of the Operational Research Society | 1 |
Current Page: 1 / 1
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7 results
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Now showing 1 - 7 of 7
Article Citation - WoS: 5Citation - Scopus: 3Production control problem for multi-product multi-resource make-to-stock systems(GROWING SCIENCE, 2024) Sinem Ozkan; Onder Bulut; Mehmet Cemali Dincer; Özkan, Sinem; Bulut, Önder; Dinçer, Mehmet CemaliMost of today's production systems are working with parallel production resources to increase throughput rate due to the increase in high variability in demand and product mix. Effective control and performance evaluation of such systems is of paramount importance to minimize production and inventory-related costs. We examine a production-inventory system featuring parallel production resources capable of producing various products. In many industries such as automotive white goods electronics and paint multiple/parallel production resources are widely used to produce the ideal amount and satisfy incoming demands for distinct products. In this study shortage cost is not restricted to only one type and both lost sales and backordering cases are analyzed. In order to analyze the optimal production policies' behavior we initially formulate dynamic programming models for both lost sales and backordering systems treating them as Markov Decision Processes. Subsequently we solve these models using the value iteration algorithm. Given the challenges posed by the curse of dimensionality in the value iteration algorithm we suggest alternative heuristic production policies. These policies extend the existing ones described for multi-item single-resource make-to-stock (MTS) systems to accommodate multiple resources. We construct simulation models to assess the efficacy of the heuristic policies conducting comparisons of their performance against both the optimal policy and among one another. To the best of our knowledge there has been no exploration of scenarios involving multiple production resources concurrently manufacturing distinct products in a MTS environment. Hence this study serves as an extension to the examination of multi-item multi-production resource MTS systems. (c) 2024 by the authors, licensee Growing Science CanadaArticle Analysis of M/M/s Make-to-Stock Queues with Production Start-up Costs for Both Lost Sales and Backordering Cases(Taylor & Francis Ltd, 2025) Ozkan, Sinem; Bulut, Onder; Dincer, Mehmet CemaliThis study considers a production-inventory system with production start-up costs and parallel production lines. Production times are independent and identically distributed exponential random variables and demands are generated according to a stationary Poisson process. Production and inventory are controlled by the extended-two-critical-number policy. The system is modelled as an M/M/s make-to-stock queue and analysed for both lost sales and backordering cases. A renewal approach is developed to calculate the expected average system cost. Furthermore, an approximation is proposed to calculate the control parameters of the extended-two-critical-number policy. An extensive numerical study is conducted to illustrate the effects of changes in system parameters and the effectiveness of the proposed approximation. The analysis shows that the proposed approximation performs well across various system conditions.Article Production control problem for multi-product multi-resource make-to-stock systems(Growing Science, 2024) Sinem Özkan; Önder Bulut; Mehmet Cemali DinçerMost of today's production systems are working with parallel production resources to increase throughput rate due to the increase in high variability in demand and product mix. Effective control and performance evaluation of such systems is of paramount importance to minimize production and inventory-related costs. We examine a production-inventory system featuring parallel production resources capable of producing various products. In many industries such as automotive white goods electronics and paint multiple/parallel production resources are widely used to produce the ideal amount and satisfy incoming demands for distinct products. In this study shortage cost is not restricted to only one type and both lost sales and backordering cases are analyzed. In order to analyze the optimal production policies' behavior we initially formulate dynamic programming models for both lost sales and backordering systems treating them as Markov Decision Processes. Subsequently we solve these models using the value iteration algorithm. Given the challenges posed by the curse of dimensionality in the value iteration algorithm we suggest alternative heuristic production policies. These policies extend the existing ones described for multi-item single-resource make-to-stock (MTS) systems to accommodate multiple resources. We construct simulation models to assess the efficacy of the heuristic policies conducting comparisons of their performance against both the optimal policy and among one another. To the best of our knowledge there has been no exploration of scenarios involving multiple production resources concurrently manufacturing distinct products in a MTS environment. Hence this study serves as an extension to the examination of multi-item multi-production resource MTS systems. © 2024 Elsevier B.V. All rights reserved.Doctoral Thesis M G 1 ve M M s stoğa-üretim sistemlerinin analizi(2022) Özkan, Sinem; Bulut, Önder; Dinçer, Mehmet CemaliÇoğu gerçek hayattaki üretim-envanter sistemleri, rassal üretim ve talepler arası varış sürelerine sahiptir. Üretim ve envanter maliyetlerini en aza indirmek için bu tür sistemlerin performans değerlendirmesi ve etkin kontrolü hayati önem taşımaktadır. Bu çalışmada, çeşitli stoğa-üretim sistemlerinin üretim-envanter kontrol problemleri ele alınmıştır. İlk olarak, tek bir üretim birimine, üretime başlama ve kayıp satış maliyetlerine sahip tek tip ürün üreten stoğa-üretim sistemleri incelenmiştir. Üretim sürelerinin bağımsız, özdeş ve genel bir dağılıma sahip olduğu, taleplerin ise durağan bir Poisson sürecine göre geldiği varsayılmıştır. Üretim ve dolayısıyla envanter, ardısmarlamalı sistemler için eniyi olduğu bilinen iki kritik sayı politikası tarafından kontrol edilmektedir. Ele alınan sistem tek tip ürünün üretildiği M/G/1 stoğa-üretim kuyruğu olarak modellenmiştir. Üretime başlama maliyeti ihmal edilebilir olduğu durumda, durum vektörünün kararlı durum dağılımı kuyruk teorisine dayalı bir yaklaşımla bulunmuştur. Üretim başlangıç maliyeti olan sistemler için, biri durağan durum dağılımını bulan, diğeri ise doğrudan uzun dönem beklenen ortalama maliyeti hesaplayan iki farklı yöntem geliştirilmiştir. Geliştirilen yöntemler yarı-Markov ve yenileme teorilerine dayanmaktadır. Ayrıca, iki kritik sayı politikasının kontrol parametrelerini hesaplamak için bir yaklaşım önerilmiştir. Sayısal sonuçlar, önerilen yaklaşımın birçok durumda eniyiye yakın performans gösterdiğini ortaya koymaktadır. Bildiğimiz kadarıyla, bu çalışma, kayıp satışlı M/G/1 stoğa-üretim sistemlerini analiz eden ilk çalışmadır. İkinci olarak, üretim sürelerinin Markov yapıda olduğu birden çok sunuculu stoğa-üretim sistemleri ele alınmıştır. Genişletilmiş iki kritik sayı politikası tarafından kontrol edilen M/M/s tek ürünlü stoğa-üretim sistemleri için, sırasıyla gömülü Markov zincirleri ve yenileme analizleri ile durağan durum dağılımı ve beklenen ortalama sistem maliyeti hesaplanmıştır. Analizler hem kayıp satışlı hem de ardısmarlamalı sistemler için ayrı ayrı yapılmıştır. Son çalışmada hem kayıp satışlı hem de ardısmarlamalı durumlar için çok ürünlü M/M/s stoğa-üretim sistemleri ele alınmıştır. İlk önce eniyi üretim politikalarının davranışını araştırmak için dinamik programlama formulasyonlarını geliştirilmiştir. Dinamik programlama formulasyonunun sonuçlarının alınmasının uzun sürmesi nedeniyle, alternatif sezgisel üretim politikaları önerilmiştir. Bu politikalar, çok ürünlü tek sunuculu stoğa-üretim sistemleri için önerilen mevcut politikaların çok sunuculu uzantılarıdır. Kapsamlı bir sayısal çalışma ile sezgisel politikaların performansları değerlendirilmiş ve karşılaştırılmıştır.Article INTEGRATED MODELING OF DISASTER EMERGENCY RESPONSE ACTIVITIES USING SIMULATION: BORNOVA CASE STUDY(2016) ASLI KILIÇ; MEHMET CEMALİ DİNÇER; MAHMUT ALI GOKCE; Kılıç, Aslı; Gokce, Mahmut Alı; Dinçer, Mehmet CemaliWe present a detailed integrated simulation model for two processes: casualty transportation and emergency room management after a major disaster. The two important processes have generally been discussed separately in literature. However to be able to correctly evaluate preparedness of disaster and emergency and minimize potential loss of lives it is important that these two interconnected processes are analysed together. The purpose of this study is to present an integrated simulation model of victim transportation and treatment processes after a major disaster and use the proposed model in a case study for Bornova a district of the city of İzmir in Turkey. Simulation model is run with a detailed experimental design and results are statistically analysed. We find out and report the importance of correct distribution of ambulances to regions and rules for better management of capacities of constrained medical resources in order to minimize total loss of lives.Article Throughput Analysis of Transfer Lines in Transient State: Using Exact Analytical Methods(2018) Mehmet Cemali DİNÇER; görkem sariyer; Sariyer, Görkem; Dinçer, Mehmet CemaliTransfer line is a serial arrangement of machines where buffers are used to separate two consecutive machines. This special type of production systems have high production volumes. In the design and operation of transfer lines throughput analysis is essential. Considering the transient state of the systems this paper presents theoretical analysis for throughput rate of transfer lines. For the short transfer lines having a unique machine and two machines we derive throughput rate expected value and variance functions. We use these functions in performance evaluation of production systems. Besides these formulations can be used while analyzing longer transfer lines which can easily be decomposed into smaller sub-systemsConference Object Reinforcement Learning in Condition-Based Maintenance: A Survey(Springer Science and Business Media Deutschland GmbH, 2025) Gamze Erdem; Mehmet Cemali Dinçer; Mehmet Murat Fadiloglu; Dincer, M. Cemali; Fadiloglu, M. Murat; Erdem, Gamze; C. Kahraman , S. Cebi , B. Oztaysi , S. Cevik Onar , C. Tolga , I. Ucal Sari , I. OtayThis literature review examines the convergence of Reinforcement Learning (RL) and Condition-Based Maintenance (CBM) emphasizing the trans- formative impact of RL methodologies on maintenance decision-making in com- plex industrial settings. By integrating insights from a diverse array of studies the review critically assesses the use of various RL techniques such as Q-learning deep reinforcement learning and policy gradient approaches in forecasting equipment failures optimizing maintenance schedules and reducing operational downtime. It outlines the shift from conventional rule-based maintenance practices to adaptive data-driven strategies that exploit real-time sensor data and probabilistic modeling. Key challenges highlighted include computational complexity the extensive training data requirements and the integration of RL models into existing industrial frameworks. Furthermore the review explores literature on CBM within multi-component systems where prevalent approaches include numerical analyses Markov Decision Processes (MDPs) and case studies all of which demonstrate notable cost reductions and decreased downtime. Relevant studies were identified through searches on databases such as Google Scholar Scopus and Web of Science. Overall this review provides a comprehensive analysis of the current state and prospects of employing reinforcement learning in condition-based maintenance offering valuable insights for both academic researchers and industry practitioners. © 2025 Elsevier B.V. All rights reserved.
