Yetkin Ekren, Banu

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Profile URL
https://hdl.handle.net/20.500.14365/7208
Name Variants
Banu Yetkin
Yetkin Ekren
Ekren, Banu
Ekren, B. Y.
Ekren, Banu Yetkin
Ekren, Banu Y.
Job Title
Email Address
banu.ekren@ieu.edu.tr
Main Affiliation
05.09. Industrial Engineering
Status
Former Staff
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ORCID ID
0009-0009-4228-7795
Scopus Author ID
23488489800
Turkish CoHE Profile ID
E120AFF4D7A388C2
Google Scholar ID
b5rzbcQAAAAJ
WoS Researcher ID
DVN-2301-2022

Sustainable Development Goals

10

REDUCED INEQUALITIES
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14

LIFE BELOW WATER
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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17

PARTNERSHIPS FOR THE GOALS
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11

SUSTAINABLE CITIES AND COMMUNITIES
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

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2

ZERO HUNGER
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NO POVERTY
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13

CLIMATE ACTION
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7

AFFORDABLE AND CLEAN ENERGY
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DECENT WORK AND ECONOMIC GROWTH
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GOOD HEALTH AND WELL-BEING
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15

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RESPONSIBLE CONSUMPTION AND PRODUCTION
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Documents

87

Citations

2677

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27

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70

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2171

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Scholarly Output

14

Articles

8

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WoS Citation Count

486

Scopus Citation Count

584

WoS h-index

9

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9

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WoS Citations per Publication

34.71

Scopus Citations per Publication

41.71

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4

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JournalCount
Encyclopedia of Business Analytics and Optimization: Volume I: Volume II: Volume III: Volume IV: Volume V3
Sımulatıon Modellıng Practıce And Theory2
Ieee Transactıons on Automatıon Scıence And Engıneerıng1
Ifac Papersonlıne1
Industrıal Engıneerıng Applıcatıons in Emergıng Countrıes1
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Now showing 1 - 10 of 14
  • Thumbnail Image
    Article
    Citation - WoS: 79
    Citation - Scopus: 97
    Simulation Analysis of Shuttle Based Storage and Retrieval Systems
    (Daaam International Vienna, 2015) Lerher, T.; Yetkin Ekren, Banu; Sari, Z.; Rosi, B.
    In this paper, a simulation-based performance evaluation of shuttle-based storage and retrieval system (SBS/RS) is presented. In comparison with well-known automated storage and retrieval systems, SBS/RSs can substantially increase the throughput capacity of the system. The objective of this study is to exploit the benefits of SBS/RS system design for reducing the mean cycle time of transactions and consequently increasing the throughput capacity of the system. Performance comparison of the studied SBS/RS is contrasted with alternative storage rack configurations, velocity profiles of the shuttle carriers and velocity profiles of the elevators' lifting tables in the system. The results show that SBS/RSs are effective in reducing the mean cycle time and also show large improvement by increasing throughput capacity.
  • Thumbnail Image
    Article
    Citation - WoS: 23
    Citation - Scopus: 33
    A Simulation Based Experimental Design To Analyze Factors Affecting Production Flow Time
    (Elsevier Science Bv, 2008) Yetkin Ekren, Banu; Örnek, Mustafa Arslan
    In this paper we analyze and evaluate the effects of some pre-defined process parameters on the performance of a manufacturing system. These parameters include two different plant layout types, namely functional layout (FL) and cellular manufacturing layout (CL), as well as scheduling rule, machine downtimes, batch sizes, and transporter (interstage transporters) capacities. First we employ simulation to evaluate the effects of these factors on the performance of the system and then conduct designed experiments to set the best levels for these factors. The performance evaluation function is defined in terms of the average flow time of all the part types through the manufacturing system. Arena 10.0 simulation software and SPSS 9.0 statistical package are used to measure the main effects and interactions between these factors. This work demonstrates that various manufacturing parameters should be considered jointly when designing or redesigning a facility because setting different levels for parameters can considerably affect the performance of a facility. (C) 2007 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Book Part
    Simulation Optimization and a Case Study
    (IGI Global, 2014) Ekren, B.Y.; Heragu, S.S.; Evans, G.W.; Biles, W.E.
  • Thumbnail Image
    Article
    Citation - WoS: 81
    Citation - Scopus: 95
    Matrix-Geometric Solution for Semi-Open Queuing Network Model of Autonomous Vehicle Storage and Retrieval System
    (Pergamon-Elsevier Science Ltd, 2014) Ekren, Banu Yetkin; Heragu, Sunderesh S.; Krishnamurthy, Ananth; Malmborg, Charles J.
    In this paper, we model the autonomous vehicle storage and retrieval system (AVS/RS) as a semi-open queuing network (SOQN) and apply a matrix-geometric method (MGM) for analyzing it. An AVS/RS is an automated material handling system for the high-rise pallet storage area of a warehouse and allows pallets to be stored and retrieved quickly and efficiently from their storage locations. It is an alternative to the traditional crane-based AS/RS (automated storage and retrieval system). A combination of lifts and autonomous vehicles store pallets into and retrieve them out of their respective rack storage locations. The crane based AS/RS typically utilizes aisle-captive, mast-mounted cranes that can access any storage location in an aisle via horizontal movement of the mast and vertical movement of the crane on the mast. In an SOQN, it is assumed that an arriving job or customer is paired with another device and the two visit all the stations that must process the job in the appropriate sequence. After all operations are completed on the job, it exits the system, but the device returns back to a device pool and awaits the next customer. Sometimes a job may have to wait for a device to arrive at the pool or a device may have to wait for a job to arrive. Although closed queuing networks (CQNs) and open queuing networks (OQNs) model systems that require pairing of an incoming job with a device, unlike the SOQN, they ignore the time that a device waits for a job or the time that a job waits for a device. In the context of an AVS/RS, the jobs correspond to storage/retrieval (S/R) transaction requests and the autonomous vehicles (AVs) correspond to the devices. Because an AV may sometimes have to wait for an S/R transaction or vice versa, we model the AVS/RS as an SOQN. We build the queuing network by deriving general travel times of pre-defined servers. We model the AVS/RS system as a single-class, multiple-server, SOQN. Then, we solve the network using the MGM and obtain its key performance measures. We apply the MGM technique for solving the SOQN model to a warehouse in France that uses AVS/RS. (C) 2013 Elsevier Ltd. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 9
    Citation - Scopus: 11
    Determining Optimum (s, S) Levels of Floor Stock Items in a Paint Production Environment
    (Elsevier, 2015) Yetkin Ekren, Banu; Örnek, Mustafa Arslan
    In this paper, we develop an (s, S) inventory model to determine inventory levels of floor stock items (FSIs) in a manufacturing company producing paint products. FSIs are raw materials that are transferred from the main warehouse to be stored at the periphery of production area for a temporary period of time to be used in the manufacturing process. These items are commonly and frequently used materials during production; hence the optimum inventory levels of these materials to be carried in the floor stock storage areas (FSSAs) to prevent costly interruptions in the manufacturing processes should be determined. We model the problem as a multi-item, single-echelon (s, S) inventory policy where items can be stored in stocking locations that are supplied by an indoor vendor (i.e., the main warehouse) with infinite capacity. The objective is to minimize the average number of daily replenishments dispatched from the main warehouse subject to the capacity of FSSAs and satisfying a pre-defined fill rate. We consider stochastic demand and lead time, and use simulation for the optimization purpose. Finally, we present and discuss the numerical results of the study along with our conclusions. (C) 2015 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 65
    Citation - Scopus: 70
    Multi-Objective Optimisation Model of Shuttle-Based Storage and Retrieval System
    (Vilnius Gediminas Tech Univ, 2017) Borovinsek, Matej; Yetkin Ekren, Banu; Burinskiene, Aurelija; Lerher, Tone
    This paper presents a multi-objective optimisation solution procedure for the design of the Shuttle-Based Storage and Retrieval System (SBS/RS). An efficient SBS/RS design should take into account multi-objectives for optimization. In this study, we considered three objective functions in the design concept which are the minimization of average cycle time of transactions (average throughput time), amount of energy (electricity) consumption and total investment cost. By also considering the amount of energy consumption as an objective function for minimization, we aimed to contribute to an environmentally friendly design concept. During the optimization procedure, we considered seven design variables as number of aisles, number of tiers, number of columns, velocities of shuttle carriers, acceleration/deceleration of shuttle carriers, velocity of the elevators lifting tables and acceleration/deceleration of the elevators lifting tables. Due to the non-linear property of the objective function, we utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA II) genetic algorithm for facilitating the solution. Lastly, we searched Pareto optimal solutions to find out the optimum results. We believe that this study provides a useful and a flexible tool for warehouse planners and designers, while choosing a particular type of SBS/RS at the early stage of the warehouse design.
  • Thumbnail Image
    Article
    Citation - WoS: 92
    Citation - Scopus: 126
    Travel Time Model for Shuttle-Based Storage and Retrieval Systems
    (Springer London Ltd, 2015) Lerher, Tone; Yetkin Ekren, Banu; Dukic, Goran; Rosi, Bojan
    This paper presents analytical travel time model for the computation of travel (cycle) time for shuttle-based storage and retrieval systems (in continuation SBS/RS). The proposed model considers the operating characteristics of the elevators lifting table and the shuttle carrier, such as acceleration and deceleration and the maximum velocity. Assuming uniform distributed storage rack locations and using the probability theory, the expressions of the cumulative distribution functions with which the mean travel time is calculated, have been determined. The proposed model enables the calculation of the mean travel (cycle) time for the single and dual command cycles, from which the performance of SBS/RS can be evaluated. The approximation model and a simulation model of SBS/RS have been used to compare the performances of the proposed analytical travel time model. The analysis shows that regarding all examined types of SBS/RS, the results of proposed analytical travel time model for SBS/RS correlate with the results of simulation models of SBS/RS.
  • Thumbnail Image
    Book Part
    Simulation Optimization Via Metamodeling Approach
    (IGI Global, 2014) Zakerifar, M.; Biles, W.E.; Ekren, B.Y.; Evans, G.W.; Heragu, S.S.
  • Thumbnail Image
    Book Part
    Simulation Optimization for Finite Parameter Space
    (IGI Global, 2014) Ekren, B.Y.; Evans, G.W.; Biles, W.E.; Heragu, S.S.
  • Thumbnail Image
    Article
    Citation - WoS: 64
    Citation - Scopus: 71
    An Approximate Solution for Semi-Open Queueing Network Model of an Autonomous Vehicle Storage and Retrieval System
    (IEEE-Inst Electrical Electronics Engineers Inc, 2013) Yetkin Ekren, Banu; Heragu, Sunderesh S.; Krishnamurthy, Ananth; Malmborg, Charles J.
    We present an analytical model for an autonomous vehicle storage and retrieval system (AVS/RS). The system is modeled as a semi-open queueing network (SOQN). An SOQN consists of customers, a secondary resource and servers. Each arriving customer is paired with the secondary resource. The two visit the set of servers required by the customer in the specified sequence. In the context of an AVS/RS, storage/retrieval (S/R) transactions are customers and the autonomous vehicles are the secondary resources. If an S/R transaction requires a vertical movement, it uses a lift. The lifts and horizontal travel times to and from a storage space are modeled as servers. First, we define all possible scenarios for storage and retrieval transactions and their occurrence probabilities. Second, we derive general travel times of vehicles and lifts by considering all possible locations of the two devices based on the predefined storage and retrieval scenarios, defined in step 1. Third, each scenario is modeled as a customer type and these customer classes are aggregated into a single class. Thus, we model the system as a single-class, multiple-server, SOQN. Finally, we solve the SOQN using an approximate method and obtain the performance measures. We apply the method to analyze a warehouse in France that utilizes AVS/RS.