Browsing by Author "Ekren, Banu Yetkin"

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Citation - WoS: 55
Citation - Scopus: 65
A multi-objective optimisation study for the design of an AVS/RS warehouse
(TAYLOR & FRANCIS LTD, 2021) Banu Yetkin Ekren; Yetkin Ekren, Banu; Ekren, Banu Yetkin
This paper deals with a hierarchical solution approach for multi-objective optimisation of an autonomous vehicle-based storage and retrieval system (AVS/RS) warehouse design. As a result of recent technological and Industry 4.0 developments industries tend to automise their facilities using systems such as AVS/RS an intra-logistics system mostly utilised by large distribution centres. Compared to a traditional crane-based automated storage and retrieval system (AS/RS) these systems are more advantageous for having a flexible travel pattern of autonomous vehicles enabling the designer vary the number of vehicles in the system based on the changed demand environment. Since it may affect the initial and operational costs as well as the system efficiency significantly it is important to decide on the right warehouse design at first for these systems. In this paper a multi-objective optimisation solution procedure under a hierarchical approach for the design of an AVS/RS by considering minimisation of two conflicting performance measures - average cycle time and average energy consumption per transaction - is presented. By this work it is also aimed to attract the attention of practitioners for the significance of multi-objective performance optimisation. For the multi-objective optimisation Pareto-optimal solutions are presented.
Citation - WoS: 32
Citation - Scopus: 52
Additive manufacturing integration in E-commerce supply chain network to improve resilience and competitiveness
(Elsevier B.V., 2023) Banu Yetkin Yetkin Ekren; Nikolaos D. Stylos; Jeremy Zwiegelaar; Ecem Eroğlu Turhanlar; Vikas Kumar; Stylos, Nikolaos; Turhanlar, Ecem Eroglu; Zwiegelaar, Jeremy; Kumar, Vikas; Ekren, Banu Yetkin
In light of recently increased e-commerce also a result of the COVID-19 pandemic this study examines how additive manufacturing (AM) can contribute to e-commerce supply chain network resilience profitability and competitiveness. With the recent competitive supply chain challenges companies aim to decrease cost performance metrics and increase responsiveness. In this work we aim to establish utilisation policies for AM in a supply chain network so that companies can simultaneously improve their total network cost and response time performance metrics. We propose three different utilisation policies i.e. reactive proactive – both with 3D printing support – and a policy excluding AM usage in the system. A simulation optimisation process for 136 experiments under various input design factors for an (s S) inventory control policy is carried out. We also completed a statistical analysis to identify significant factors (i.e. AM holding cost lead time response time demand amount etc.) affecting the performance of the studied retailer supply chain. Results show that utilising AM in such a network can prove beneficial and where the reactive policy contributes significantly to the network performance metrics. Practically this work has important managerial implications in defining the most appropriate policies to achieve optimisation of supply network operations and resilience with the aid of AM especially in times of turbulence and uncertainty. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 80
Citation - Scopus: 97
Adopting Industry 4.0 by leveraging organisational factors
(ELSEVIER SCIENCE INC, 2022) Deepak Kumar Srivastava; Vikas Kumar; Banu Yetkin Ekren; Arvind Upadhyay; Mrinal Tyagi; Archana Kumari; Upadhyay, Arvind; Srivastava, Deepak Kumar; Kumari, Archana; Tyagi, Mrinal; Kumar, Vikas; Ekren, Banu Yetkin
The manufacturing sector needs to focus on social environmental and technological factors to integrate Industry 4.0 in production planning logistics and supply chains. Technical Education Institutes (TEIs) can play a key role in achieving this ambition as they are responsible for the workforce of the digital future. To this end a learning factory is often referred to as a realistic manufacturing environment. However the existing research regarding the successful adoption of a learning factory based on Industry 4.0 is scant in the literature. We therefore aim to address this research gap by examining key factors that affect the decision to adopt Industry 4.0 in technical education institutes. We have adopted the theoretical lens of the Technology-Organisation-Environment (T-O-E) framework to study industry 4.0 adoption in TEIs. The findings based on 134 valid responses from TEIs in India indicate that the organisational dimension is critical in determining whether or not to adopt Industry 4.0. Our study shows that top management support internal resources and the capabilities of the teaching staff are vital for the adoption of Industry 4.0. Additionally our findings indicate that significant differences exist between public and private TEIs concerning the adoption of Industry 4.0.
Agent Based Simulation Modeling for Design of a Smart SBS
(2021) Küçükyaşar, Melis; Ekren, Banu Yetkin
Bu tezde katlara adanmış otomatik araçlı depolama ve çekme sistemlerinin olumsuzluklarının üstesinden gelebilecek kattan kata otomatik araçlı depolama ve çekme sisteminin (SBS/RS) tasarlanması hedeflenmektedir. Otomatik araçlı depolama sistemleri küçük yük depolarında oldukça yaygın kullanılan bir teknolojidir. Her kata bir aracın adanmış otomatik araçlı depolama sisteminde her katta bir araç olduğundan, her koridorda bir adet bulunan asansör mekanizmasına göre oldukça düşük kullanım oranına sahiptir. Sistemdeki otomatik araç sayısını azaltmak için bir koridordaki araç sayısının kat sayısından daha az olduğu yani araçların katlar arasında dolaşmasına izin verildiği yeni kattan kata otomatik araçlı depolama ve çekme sistemi tasarımı sunulmaktadır. Araç sayısının düşürülmesiyle araçların daha yüksek faydalı kullanım oranlarına sahip olması beklenmektedir. Bununla birlikte, sistemin çıktı oranı kata adanmış otomatik araçlı sisteme göre daha düşük olacaktır. Bu yüzden, sistem performansını iyileştirmek için kattan kata depolama ve çekme sistemi için akıllı operasyon politikalarına odaklanılmıştır. Bunu yapmak için de simülasyon modelleme yaklaşımı kullanılmıştır. Bu tez esas olarak üç araştırma sorusuna odaklanmaktadır: i) mekiklerin kullanımının asansörlerle dengelendiği her aracın bir kata adanmış SBS/RS tasarımına alternatif bir SBS/RS tasarımı var mı? ii) Söz konusu yeni kattan kata SBS/RS'nde, düşük bir toplam yatırım maliyeti ile istenen sistem performans ölçütlerini karşılayan bir sistem tasarımı var mı? iii) sistemdeki çok amaçlı performans ölçütlerini iyileştirmek için kuyruklarda işlem planlaması için en iyi öncelik atama kuralı nedir? Bütün bu soruların yanıtı bu tez ile araştırılmıştır. Son olarak, maliyet, zaman ve enerji bakımından klasik SBS/RS tasarımlarına alternatif olabilecek yeni bir kattan kata SBS/RS tasarımı önerilmiştir. Bu tasarımın performansını etkileyen faktörler istatistiksel olarak analiz edilmiş ve sistem performansını geliştirmek için gerçek zamanlı veri kullanılarak çeşitli öncelik atama kuralları uygulanmıştır.
Aisle-to-aisle design for SBS/RS under smart deadlock control policies
(IEOM Society, 2021) Ecem Eroğlu Turhanlar; Banu Yetkin Yetkin Ekren; Tone Lerher; Lerher, Tone; Turhanlar, Ecem Eroglu; Ekren, Banu Yetkin
Recent increase in e-commerce warehouse operations have become one of the most significant issues. Recent customer profile requests fast delivery time with flexible options in purchasing. Automated warehousing technologies are widely utilized in warehouses to provide fast solutions for those demand profiles. Shuttle-based storage and retrieval system (SBS/RS) is an automated warehousing technology assuring fast transaction process in warehouses. In this work we study a special design for SBS/RS where automated vehicles (i.e. shuttles) are more flexible in their travel pattern so that the system would not require a dedicated shuttle in each tier resulting with decreased number of shuttles compared to a dedicated one (i.e. each zone with a single shuttle) in the system. We compare these two system designs flexible and dedicated ones by using an agent-based simulation modelling approach. The proposed flexible design is developed on deadlock and collision prevention algorithms evaluating real time information. The performance of the system is compared by their average flow time per transaction maximum flow time of a transaction throughput rate and utilization of shuttles etc. The results show that by integrating smart collision and deadlock prevention algorithms the proposed flexible aisle-to-aisle SBS/RS works better than the dedicated system design. © 2021 Elsevier B.V. All rights reserved.
Akıllı Bir Otomatik Araçlı Depolama ve Çekme Sistem Tasarımı/ Banu Ekren
(2021) Arslan, Bartu; Eroğlu, Ecem; Küçükyaşar, Melis; Ekren, Banu Yetkin
Bu proje kapsamında gerçekleştirilen çalışmaların amacı, Otomatik Araçlı Depolama ve Çekme Sistemleri?nde (AVS/RS?lerinde), gerçek zamanlı bilgiyi kullanarak, sistemin kontrolünü, dinamik kararlar vererek yapabilen, bir ?akıllı depolama ve çekme sistem? tasarımı geliştirmektir. Sistemin önemli performans kriterleri olarak, bir depolama/çekme işleminin ortalama enerji tüketim miktarı ve bir depolama/çekme işleminin ortalama akış süresi esas alınmıştır. Akıllı depo sisteminin tasarımı için, ajan (etmen) tabanlı modelleme ve pekiştirmeli öğrenme yöntemlerinden yararlanılmıştır. Yapılan çalışmalar sonucunda geliştirilen dinamik modellerde, statik modellere kıyasla en az %20?lik bir performans iyileşmesinin gerçekleşmesi amaçlanmıştır. Bu doğrultuda, katlar arası dolaşabilen mekik-tabanlı SBS/RS?nde geliştirilen derin öğrenmeye dayalı sistem %40-%68 daha iyi sonuç üretmekte iken aynı zamanda geliştirilen koridorlar arası araç seyahatine izin veren esnek sistemde ise %55?e varan iyileşmeler söz konusu olmuştur.
Citation - Scopus: 2
An (s S) inventory optimization problem: A case study for a hospital
(IGI Global, 2019) Gizem Sağol; Gorkem Sariyer; Banu Yetkin Yetkin Ekren; Mustafa Gökalp Ataman; Ataman, Mustafa Gökalp; Sariyer, Görkem; Sağol, Gizem; Ekren, Banu Yetkin
Inventory management is one essential lever to use the resources efficiently. However managing inventories in hospitals is a challenging task because of the several issues: a high service level of medical supplies is required under the unpredictable demand medical products constitute a significant portion of the overall costs and the management of these supplies requires considerable effort to check the levels to track usage and to distribute them. Therefore it is pertinence to apply operations research tools to cope with the managerial issues of the hospital inventory system. In this chapter the authors implement an (s S) inventory model by using simulation in a case study of a hospital in Izmir Turkey. They aim to analyze the unpredictable nature of demand of medical supplies in this hospital and its implications on the developed inventory policy. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 2
An Agent-Based Simulation Model for Deadlock Prevention in an Aisle-to-Aisle SBS/RS
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Ecem Eroglu; Banu Yetkin Ekren; Eroglu, Ecem; Ekren, Banu Yetkin; F Calisir
Flexibility and high throughput rate in storage and retrieval systems are essential criteria in today's competitive marketing. Recent developments in information technology enable the intelligent design of systems. This study aims to propose a tier-captive aisle-to-aisle shuttle-based storage and retrieval system (SBS/RS) where shuttles can make autonomous decisions to prevent deadlocks and collisions as well as the efficient process of transactions. Deadlock prevention algorithms are one of the primary concerns in today's autonomous vehicle environment. In the considered tier-captive aisle-to-aisle SBS/RS multiple shuttles can travel between aisles in a dedicated tier. The advantage of this design is that there may be the fewer total number of shuttles running in the system compared to a traditional tier-captive SBS/RS. Due to the complexity of the proposed system and autonomous shuttle-based decision-making target we utilized the advantage of an agent-based modeling approach by simulating the system. Agent definitions roles and behaviors are specified to ensure that no collision and blockage take place in the system. Thanks to the intelligent abilities of agents so that the system can run effectively by using real-time information.
Citation - WoS: 1
An Overview of Warehouse Operations for Cold Chain
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Cansu Yurtseven; Banu Yetkin Ekren; Ayhan Ozgur Toy; Toy, Ayhan Ozgur; Yurtseven, Cansu; Ekren, Banu Yetkin; F Calisir
Warehouses play a significant role in cold chains as they do for regular supply chains. Although their goals are the same for both cold chains and regular supply chains the operations of cold warehouses are more sophisticated since the cost of operation is considerably higher due to energy consumption and obsolesce of products in substandard conditions. Recently there has been an enormous interest in the cold food supply chain to reduce food waste occurring along the chain. Hence efficient management of cold warehouses becomes an important issue in this direction. Design and operation requirements in a cold warehouse may be different from a traditional non-cold warehouse. In this paper we aim to provide an overview of cold chain operations mostly by focusing on cold warehouse operations. We provide some statistics from a cold chain design and technology requirements for cold warehouses as well as warehouse operations shaped according to that warehouse features. It is observed that there are quite different design parameters in cold storage.
Citation - WoS: 12
Citation - Scopus: 10
Cost and performance comparison of tier-captive SBS/RS with a novel AVS/RS/ML
(Taylor and Francis Ltd., 2024) Banu Yetkin Yetkin Ekren; Tone Lerher; Melis Küçükyaşar; Boris Jerman; Yetkin Ekren, Banu; Jerman, Boris; Lerher, Tone; Küçükyaşar, Melis; Ekren, Banu Yetkin
This paper introduces a novel autonomous vehicle-based storage and retrieval system that utilizes movable lifts (AVS/RS/ML) proposed as an alternative to the tier-captive shuttle-based storage and retrieval system (SBS/RS). The newly proposed system aims to provide an affordable solution with highly utilised AGVs that can also perform operations out of warehouse. The performance of this novel system is compared with the equivalent tier-captive SBS/RS warehouse design where each shuttle is dedicated in a specific tier in that design. The comparison is based on the initial system investments costs throughput rates and average utilisation of lifts/MLs in the system. Collision prevention rules are also applied to AVS/RS/ML and its performance is tested through simulation. The results show that the tier-captive SBS/SR system becomes cost-efficient under high throughput rate requirements while the AVS/RS/ML technology is preferred for relatively moderate and low process rate requirements. The unit-cost per month performance metric of AVS/RS/ML is less sensitive to an increase in number of tiers in the system compared to the tier-captive SBS/RS case indicating that AVS/RS/ML may be promising for high-tier warehouse system designs. © 2024 Elsevier B.V. All rights reserved.
Deadlock and Collision Prevention Algorithms for Mobile Robots in Automated Warehouses
(IEOM Society, 2021) Ecem Eroğlu Turhanlar; Banu Yetkin Yetkin Ekren; Turhanlar, Ecem Eroglu; Ekren, Banu Yetkin; M. Fargnoli , M. Lombardi , M. Tronci , P. Dallasega , M.M. Savino , F. Costantino , G. Di Gravio , R. Patriarca
Recent supply chain targets have led to decreased response time requests also causing enterprises invest for automation technologies for efficient management for their warehouses. In this paper we focus on an automated warehousing environment where there are robotic order pickers travelling on ground flexibly throughout aisles. We develop deadlock and collision prevention algorithms for safely travel of those robotic order pickers. The developed algorithms can be utilized by any warehouse system having autonomous vehicles (e.g. automated guided vehicles mobile robots or shuttles in a multi-tier automated warehouse) that can travel between aisles freely. While developing those smart algorithms we also aim to improve some performance metrics such as average flow time and maximum flow time of a transaction in the system. To test the performance of the algorithms we model the system as a multi-agent system where autonomous vehicles are able to communicate with each other under an Internet of Things (IoT) environment. We compare that flexible system design with a dedicated design where a dedicated vehicle is assigned for a predefined number of aisles. The experimental results show that under well-designed deadlock and collision prevention control algorithm flexible travel of vehicles can provide advantage compared to dedicated design. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Decision-Making in Additive Manufacturing Supply Chains: A Systematic Literature Review
(Elsevier, 2025) Matopoulos, Aristides; Abu-Abdoun, Dana I.; Ekren, Banu Yetkin
Additive Manufacturing (AM) is reshaping supply chain (SC) structures by enabling decentralised production, digital inventories, and on-demand manufacturing. These transformations demand new decision-making approaches to manage disruptions in SC configuration, inventory management, supplier selection, and manufacturing design. This study systematically reviews 27 peerreviewed studies to assess decision-support tools such as optimisation models, simulation techniques, and multi-criteria decision-making (MCDM) frameworks used to facilitate AM integration. A structured mapping is proposed to map AM-induced SC changes to appropriate decision tools. The findings provide structured insights to enhance SC performance, adaptability, and resilience in AM-enabled environments. Copyright (c) 2025 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
A Deep Reinforcement Learning Modelling Approach for (s, S) Inventory Control Problem
(2020) Kılınç, Güray; Ekren, Banu Yetkin
Bu tezde, tek kademeli tedarik zinciri ağında envanter optimizasyonunu yöneten derin takviyeli öğrenme (DRL) ajanlarının performansı incelenmiştir. DRL'de, akıllı ajan, bu ağın toplam kârını en üst düzeye çıkarmak için her bir zaman adımında ne kadar sipariş verileceğini belirlenir. Ayrıca, yeniden sipariş noktası (s) ve en yüksek envanter düzeyi (S) bir algoritma yardımı ile bulunarak statik bir model geliştirilmiştir. Ardından, bir öğrenme ortamında bu seviyelere karar vermek için bir DRL algoritması olan derin Q-Networks (DQN) kullanan bir ajan eğitilmiştir. İki yaklaşım, farklı senaryolar altında karşılaştırılmış ve sonuçlar DRL yaklaşımının statik (s, S) politikasından daha iyi performans gösterdiği gözlemlenmiştir.
Design of Lateral Inventory Share Policies in an Omni-Channelsupply Chain Network
(2021) İzmirli, Damla; Ekren, Banu Yetkin
Günümüzde internet ve iletişim teknolojilerinin yaygınlaşması ile müşteri ihtiyaç ve beklentileri, yüksek çeşitlilik ile azalan hacimli sipariş profiline doğru değişmiştir. Dolayısıyla bu değişiklik ve gelişmeler, şirketlerin pazarlama şeklini de etkilemiştir. Firmalar arası rekabet büyük ölçüde arttığında ve müşteri beklentileri değiştiğinde e-ticaret kavramı önem kazanmıştır. Şirketler bu amaçla farklı dağıtım kanalları kombinasyonlarını kullanma eğilimindedir. Bütüncül kanal pazarlama ile müşteriler alışveriş kanalları arasında kolaylıkla geçiş yapabilir ve tüm kanallardan interaktif olarak faydalanabilir. Son sipariş profiliyle birlikte, stok belirsizliği ve maliyet artışının üstesinden gelmek için envanter yönetimi kritik bir konu haline gelmiştir. Bütüncül kanal konseptinde kanalların yüksek entegrasyonu ile envanter yönetimi, müşteri memnuniyeti için kritik bir konu haline geliyor. Bu çalışmada, aynı kademeli şirketler arasındaki yanal envanter paylaşım politikaları, çok kanallı bir ağda stokların yetersizliğini ve talep belirsizliğini azaltmak için incelenmiştir. Bütüncül kanallı ağlarda farklı bağlılık senaryoları altında farklı yanal envanter paylaşım poliçelerini karşılaştırmak için simülasyon modelleri geliştirilmiştir. Toplam ağ maliyetleri, (s, S) envanter kontrol politikaları dikkate alınarak optimize edilir. Sonuçlar, sistemdeki herhangi bir önceden tanımlanmış envanter paylaşım politikasının dikkate alınmasının, envanter dışı paylaşım politikasını dikkate almaktan daha iyi sonuçlar verdiğini göstermektedir.
Citation - Scopus: 5
Energy efficient automated warehouse design
(Elsevier, 2020) Melis Küçükyaşar; Banu Yetkin Yetkin Ekren; Tone Lerher; Küçükyaşar, Melis; Lerher, Tone; Ekren, Banu Yetkin
The aim of this work is to study an automated warehousing system design to optimize significant performance metrics: energy and travel time related performance metrics in the system. Different from the literature we study a specific design of a well-known automated warehousing system shuttle-based storage and retrieval system (SBS/RS) in which shuttles can travel between tiers by using a lifting mechanism installed at periphery of racks. In a traditional SBS/RS design shuttles are dedicated in each tier that is tier-captive. They perform horizontal travel for storage and retrieval of loads within a tier of an aisle. There is a single lifting mechanism in each aisle for vertical travel of loads. These systems are mostly utilized in large distribution centers to obtain high transaction rate for storage and retrieval processes. In a traditional design because there is a dedicated shuttle in each tier of an aisle and a single lifting mechanism in each aisle lifts are mostly bottleneck and the utilization of shuttles are very low. Hence a new design with a few numbers of shuttles that can travel between tiers might be promising in decreasing the initial investment cost and increasing the utilization levels of shuttles. In this work we explore an optimal warehouse design for that new SBS/RS concept—tier-to-tier SBS/RS—in terms of number of shuttles number of tiers aisles acceleration/deceleration values of lifts/shuttles etc. to improve some significant performance metrics from the system (e.g. energy consumption and cycle time per transaction). © 2022 Elsevier B.V. All rights reserved.
Enerji Verimli Otomatik Araçlı Depo Sistem Tasarımı
(2018) Ekren, Banu Yetkin
AVS/RS bir otomatik araçlı depolama ve çekme sistemidir ve çoğunlukla birim yük (ağır ve büyük) taşıma sistemlerinde kullanılan nispeten yeni, otomatik araçlı bir depolama teknolojisidir. Avrupa?da çok sayıda firmada kullanılmaktadır (Şekil 1). Bu teknoloji literatürde genellikle, ağır ve büyük yük taşıma amaçlı kullanılmıştır. Son zamanlarda siparişlerde artan ürün çeşitliliği ve az miktarda ve çok çeşitlilikteki sipariş profiline kısa sürede cevap verebilme hedefi, yeni bir otomatik araçlı depolama teknolojisi yaratmıştır. Bu sistem, mekik-tabanlı otomatik depolama ve çekme sistemi (SBS/RS) olarak bilinmektedir (bknz. Şekil 2). Yüksek işlem hızına sahip olması nedeniyle, bu yeni teknoloji, mini-yük AS/RS?nde ihtiyaç duyulan işlem hızına yetişilemediği durumlar için, alternatif olarak tasarlanmıştır. Bu projede, enerji verimli AVS/RS ve SBS/RS tasarımı üzerine çalışılmıştır. Literatüde AVS/RS ve SBS/RS ile ilgili mevcut çalışmalar çoğunlukla bu sistemlerde, otomatik araçların ve asansörlerin seyahat sürelerinin minimizasyonuna odaklanmıştır. Ancak, depolamada verimli bir depo tasarımı, bu sistemlerin enerji tüketimlerini ve çevresel etkilerini de göz önünde bulundurmalıdır. Enerji verimli yaklaşımda, sistemin elektrik enerji tüketiminin minimizasyonuna odaklanılmıştır. Çalışmada ayrıca, enerji rejenerasyonunun olduğu durumlar da varsayılmıştır. Enerji rejenerasyonu veya rejeneratif fren, yavaşlayan (fren yapan) bir aracın, hemen ya da daha sonra kullanılmak üzere, kinetik enerjisinin başka bir forma (elektriğe) dönüştürülerek, bir enerji geri kazanım mekanizmasının gerçekleştirilmesidir. AVS/RS ve SBS/RS?lerinde, yavaşlayan araçlara ve asansörlere enerji rejenerasyonu uygulanmıştır. Analitik ve benzetim modellerden yararlanılarak yapılan çalışma sonucunda, SBS/RS için bir analitik araç geliştirilerek, sistem tasarımına bağlı çok çeşitli performans değerleri elde edilmiştir. Sistem tasarımında, deneysel tasarım tekniğinden de yararlanılarak, depoda bulunan koridor, kat ve depolama yeri sayısı, araç asansör hız ve ivme değerleri, vb. çok çeşitli tasarım kriterleri göz önünde bulundurulmuştur. AVS/RS için ise, benzetim modellemeye bağlı çok amaçlı en iyileme yöntemi ile depo tasarımı yapılmıştır. Elde edilen sonuca göre, az katlı ve çok koridor sayılı bir depo tasarımı, enerji ve seyahat minimizasyonunu eş zamanlı olarak sağlamaktadır.
Future of Engineering Education: Cyber-Physical Systems Engineering
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Banu Yetkin Ekren; Vikas Kumar; Kumar, Vikas; Ekren, Banu Yetkin; F Calisir
Recent Industry 4.0 developments have created disruptive changes in industries. It has also changed the way people work and the required skills of the workforce for the future. This new technological advancement has created a requirement of workforce combining information technology (IT) and production knowledge. Unfortunately many schools and universities have still been training students behind Industry 4.0 developments and requirements. Therefore it is important to understand what characteristics and knowledge as well as skills are required for the future of j obs and engineering profiles to shape the new education requirements. This paper aims to address the future of engineering education specifically by focusing on a promising engineering department that is the cyber-physical systems (CPS) engineering. We also aim to discuss how the curriculum of that novel discipline CPS engineering should be for the future of engineering requirements.
Citation - WoS: 49
Citation - Scopus: 52
Graph-based solution for performance evaluation of shuttle-based storage and retrieval system
(TAYLOR & FRANCIS LTD, 2017) Banu Yetkin Ekren; Yetkin Ekren, Banu; Ekren, Banu Yetkin
The aim of this study is to provide a graph-based solution for performance evaluation of a new autonomous vehicle-based storage and retrieval system shuttle-based storage and retrieval system (SBS/RS) under various design concepts. By the graph-based solution it is aimed the decision-maker (i.e. warehouse manager) evaluates a pre-defined system's performance promptly and decides on the correct design concept based on his/her requirements from thousands of alternative design scenarios of SBS/RS. The design concepts include number of bays (NoB) aisles (NoA) and tiers (NoT) for the rack design and arrival rate of storage/retrieval (S/R) transactions to an aisle of the warehouse (AR). The performance of the system is evaluated in terms of average utilisation of lifts and average cycle time of S/R transactions. Simulation is utilised for the modelling purpose. Seven NoT seven NoB and six AR scenarios are considered in the experiments. Hence 294 experiments are completed to obtain the graphs. By this study to the best of our knowledge it is the first time a graph-based solution including comprehensive design concepts of SBS/RS is presented.
Citation - WoS: 16
Citation - Scopus: 13
Integrating sustainability across the lifecycle of electric vehicle batteries: Circular supply chain challenges- innovations- and global policy impacts
(PERGAMON-ELSEVIER SCIENCE LTD, 2025) V. M. Aishwarya; Banu Yetkin Ekren; Tej Singh; Vedant Singh; Singh, Tej; Aishwarya, V.M.; Ekren, Banu Yetkin; Singh, Vedant
This study investigates the integration of sustainability practices into the circular supply chain (SC) of electric vehicle (EV) batteries to address environmental and economic challenges. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol a systematic review of 147 articles (2009-2024) identifies key challenges solutions innovations and policy measures shaping the EV battery SC. The research uncovers 10 major challenges 31 sub-challenges and 160 detailed challenges highlighting issues related to SC resilience environmental impact and economic sustainability. In response 40 main solutions and 174 complete solutions are mapped leading to the identification of 102 detailed technologies 24 sub-technologies and 8 core technologies supporting circular economy principles. These technologies are analysed for their long-term industry impact with comparisons within categories to highlight their advantages disadvantages and contributions to circular economy goals. Additionally global policy analysis reveals regulatory advancements with China and the UK leading efforts to improve recycling material recovery and sustainability governance. This study also compares EV battery policies across countries using indicators like policy coverage enforcement intensity and effectiveness highlighting their impact on sustainability and resource efficiency. A conceptual framework is developed to integrate these challenges solutions and innovations into a sustainable EV battery SC. The study concludes with theoretical insights industry recommendations and policy implications offering a structured pathway toward sustainable and resilient EV battery SCs.
Integrating sustainability across the lifecycle of electric vehicle batteries: Circular supply chain challenges- innovations- and global policy impacts (vol 216- pg 1- 2025)
(PERGAMON-ELSEVIER SCIENCE LTD, 2025) V. M. Aishwarya; Banu Yetkin Ekren; Tej Singh; Vedant Singh; Singh, Tej; Aishwarya, V.M.; Ekren, Banu Yetkin; Singh, Vedant