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Browsing Endüstri Mühendisliği Bölümü / Department of Industrial Engineering by Title

Browsing Endüstri Mühendisliği Bölümü / Department of Industrial Engineering by Title

Now showing items 1-20 of 47

An adaptive tabu search algorithm for market clearing problem in Turkish day-ahead market

Kurt, N.E.; Sahin, H.B.; Derinkuyu, K. (IEEE Computer Society, 2018-06-27)

In this study, we focus on the market clearing problem of Turkish day-ahead electricity market. We propose a mathematical model by extending the variety of bid types for different price regions. The commercial solvers may ...
Asymptotic approach for a renewal-reward process with a general interference of chance

Aliyev, Rovshan; Ardic, Ozlem; Khaniyev, Tahir (Taylor & Francis Inc, 2016)

In this study, a renewal-reward process with a discrete interference of chance is constructed and considered. Under weak conditions, the ergodicity of the process X(t) is proved and exact formulas for the ergodic distribution ...
Asymptotic Expansions For The Moments Of The Renewal-Reward Process With A Normal Distributed Interference Of Chance

Hanalioglu, Z.; Unver, N. Fescioglu; Khaniyev, Tahir (Ministry Communications & High Technologies Republic Azerbaijan, 2018)

In this study, a renewal-reward process with a normal distributed interference of chance is mathematically constructed. The ergodicity of this process is discussed. The exact formulas for the nth order moments of the ergodic ...
Asymptotic Properties of the Straight Line Estimator for a Renewal Function

Gokpinar, Esra; Khaniyev, Tahir; Gamgam, Hamza (Univ Kebangsaan Malaysia, 2015-07)

In estimation problems in renewal function, when the distribution is not known, nonparametric estimators of renewal function are used. Frees (1986a, Warranty analysis and renewal function estimation, Naval Res. Logist. ...
Asymptotic Rate for Weak Convergence of the Distribution of Renewal-Reward Process with a Generalized Reflecting Barrier

Khaniyev, Tahir; Gever, Basak; Hanalioglu, Zulfiye (Springer-Verlag Berlin, 2016)

In this study, a renewal-reward process (X(t)) with a generalized reflecting barrier is constructed mathematically and under some weak conditions, the ergodicity of the process is proved. The explicit form of the ergodic ...
Asymptotic Results for an Inventory Model of Type (s, S) with Asymmetric Triangular Distributed Interference of Chance and Delay

Hanalioglu, Zulfiye; Khaniyev, Tahir (Gazi Univ, 2018)

In this study, a semi - Markovian inventory model of type (s, S) is considered and the model is expressed by a modification of a renewal - reward process (X(t)) with an asymmetric triangular distributed interference of ...
Automated robotic assembly line design with unavailability periods and tool changes

Gültekin, Hakan; Tula, Adnan; Akturk, M. Selim (Inderscience Enterprises Ltd, 2016)

We focus on an assembly line design problem of a fully automated robotic spot-welding line. Different from existing studies, we take the prescheduled unavailability periods, such as lunch and tea breaks, into account in ...
Bid price optimization for truckload carriers in simultaneous transportation procurement auctions

Kuyzu, Gültekin; Akyol, Cagla Gul; Ergun, Ozlem; Savelsbergh, Martin (Pergamon-Elsevier Science Ltd, 2015-03)

We study simultaneous transportation procurement auctions from a truckload carrier's perspective. We formulate a stochastic bid price optimization model aimed at maximizing the carrier's expected profit. The model accounts ...
The Class of L boolean AND D and Its Application to Renewal Reward Process

Kamislik, Ash Bektas; Kesemen, Tulay; Khaniyev, Tahir (Amer Inst Physics, 2018)

The class of L boolean AND D is generated by intersection of two important subclasses of heavy tailed distributions: The long tailed distributions and dominated varying distributions. This class itself is also an important ...
Comparative Analysis of Load-Shaping-Based Privacy Preservation Strategies in a Smart Grid

Kement, Cihan Emre; Gültekin, Hakan; Tavlı, Bülent; Girici, Tolga; Uludag, Suleyman (IEEE-Inst Electrical Electronics Engineers Inc, 2017-12)

A key enabler for the smart grid is the fine-grained monitoring of power utilization. Although such a mechanism is helpful in the optimization of the whole electricity generation, distribution, and consumption cycle, it ...
Comparison of stochastic and random models for bacterial resistance

Merdan, Mehmet; Bekiryazici, Zafer; Kesemen, Tulay; Khaniyev, Tahir (Springer International Publishing Ag, 2017-05)

In this study, a mathematical model of bacterial resistance considering the immune system response and antibiotic therapy is examined under random conditions. A random model consisting of random differential equations is ...
A copy-at-neighbouring-node retransmission strategy for improved wireless sensor network lifetime and reliability

Yücel, Tuğçe; Kayhan, Ayşegül Altın (Taylor and Francis Ltd., 2018-11-18)

A Wireless Sensor Network (WSN) is composed of tiny autonomous sensors with limited battery power. WSNs are employed to observe specific fields of interest. In this paper, we study the energy efficient and reliable network ...
Cyclic Delivery Schedules for an Inventory Routing Problem

Ekici, Ali; Ozener, Okan Orsan; Kuyzu, Gültekin (Informs, 2015-11)

We consider an inventory routing problem where a common vendor is responsible for replenishing the inventories of several customers over a perpetual time horizon. The objective of the vendor is to minimize the total cost ...
Cyclic scheduling of parts and robot moves in m-machine robotic cells

Gültekin, Hakan; Coban, B.; Akhlaghi, V.E. (Elsevier Ltd, 2018-02-27)

We consider a flow shop type manufacturing cell consisting of m machines and a material handling robot producing multiple parts. The robot transfers the parts between the machines and loads/unloads the machines. We consider ...
A data-driven optimization framework for routing mobile medical facilities

Yücel, Eda; Salman, F. Sibel; Bozkaya, Burçin; Gökalp, Cemre (Springer US, 2018-09-20)

We study the delivery of mobile medical services and in particular, the optimization of the joint stop location selection and routing of the mobile vehicles over a repetitive schedule consisting of multiple days. Considering ...
Empirical comparison of three models for determining market clearing prices in Turkish day-ahead electricity market

Ceyhan, Gokhan; Kurt, Nermin Elif; Sahin, H. Bahadir; Derinkuyu, Kürşad (IEEE, 2017)

Bidders in day-ahead electricity markets want to sell/buy electricity when their bids generate positive surplus and not to take an action when the reverse holds. However, non-convexities in these markets cause conflicts ...
Estimators of the Moments for the Inventory Model of Type (s, S)

Gokpinar, Esra; Khaniyev, Tahir; Gamgam, Hamza; Gokpinar, Fikri (Springer International Publishing Ag, 2018-03)

The inventory model of type (s, S) is one of the most common used inventory models used in many problems of stock control. It is very important to know statistical characteristics such as the moments of the inventory model ...
Heuristic policies for mobile asset sharing within hospitals

Ersol, Duygu; Fescioğlu Ünver, Nilgün (Pergamon-Elsevier Science Ltd, 2017)

Hospitals that share their mobile assets among departments can use real time locating systems (RTLS) to track the assets. Caregivers use RTLS to locate the closest assets and request these assets from those departments. ...
A holistic and structured CPFR roadmap with an application between automotive supplier and its aftermarket customer

Demiray, Alptekin; Akay, Diyar; Tekin, Salih; Boran, Fatih Emre (Springer London Ltd, 2017-07)

It is now widely recognized that collaboration across the supply chain is a must to be improved to achieve competitive advantage in global markets. Despite the fact that there is a unique well-known concept for supply chain ...
Improving post-disaster road network accessibility by strengthening links against failures

Yücel, Eda; Salman, F.S.; Arsik, I. (Elsevier B.V., 2018-09-01)

We study a network improvement problem to increase the resilience of a transportation network against disasters. This involves optimizing pre-disaster investment decisions to strengthen the links of the network structurally. ...