Yurtseven, Cansu

Profile Picture
Profile URL
https://gcris.yasar.edu.tr/handle/123456789/11810
Name Variants
Job Title
Araş.Gör.Dr.
Email Address
Main Affiliation
01. Yaşar Üniversitesi
Status
Current Staff
Website
ORCID ID
0000-0003-2435-3575
Scopus Author ID
57212214787
Turkish CoHE Profile ID
Google Scholar ID
IGGPwiEAAAAJ
WoS Researcher ID
EIR-4884-2022

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

5

Citations

9

h-index

1

Go to Scopus profile
Documents

2

Citations

7

Go to WoS profile
Scholarly Output

7

Articles

0

Views / Downloads

0/0

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

7

Scopus Citation Count

9

Patents

0

Projects

0

WoS Citations per Publication

1.00

Scopus Citations per Publication

1.29

Open Access Source

1

Supervised Theses

1

JournalCount
19th International Symposium for Production Research ISPR 20192
International Symposium for Production Research ISPR 20202
9th IFAC Conference on Manufacturing Modelling Management and Control MIM 20191
Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE)1
Current Page: 1 / 1

Scopus Quartile Distribution

Quartile distribution chart data is not available

Competency Cloud

GCRIS Competency Cloud

Filters

2019 - 201922020 - 20225
Reset filters

Settings

Scholarly Output Search Results

Now showing 1 - 7 of 7
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 1
    Multi Model Multiple Line Balancing Problem Modeling and Real-Life Application
    (Springer Science and Business Media Deutschland GmbH, 2021) Onur Orhan; Doğukan Başgöl; Muharrem Eren Tekin; Ahmet Gülseven; Mahmut Ali Gökçe; Evren Demir; Cansu Yurtseven; Orhan, Onur; Tekin, Muharrem Eren; Gökçe, Mahmut Ali; Demir, Evren; Yurtseven, Cansu; Gülseven, Ahmet; Başgöl, Doğukan; N.M. Durakbasa , M.G. Gençyılmaz
    This study deals with multi-line balancing for multiple products. This problem originates from a real-life problem at a global heat boiler manufacturing company. The objective is to develop a solution method that enables create efficient line balances in a dynamic environment which maximizes the weighted average line efficiency and reduces waste of time for frequent line balancing procedures. Since weighted average efficiency is a key performance indicator for the company this paper focuses on the optimization of this measure. The proposed method is demonstrated with an implementation at three assembly lines where great majority of the company’s production takes place. For this problem an algorithm has been developed that creates a set of feasible scenarios (a scenario pool) in which total demand of each model is divided between available lines under capacity restrictions. For every scenario in the pool a custom multi model assembly line balancing MIP is created automatically and run. From the results best (most efficient) assignment of models’ demand to lines and corresponding line balances are obtained. Furthermore a user-friendly dynamic decision support system (DSS) is developed and proposed solution approaches are embedded in this DSS for the daily operations of the company. The developed DSS enables users to do an efficient line balancing in short computational time and provides the results with detailed line balancing reports. As this problem can be faced in various areas the proposed solution approaches can also be applied to different sectors and factories with little modification. © 2020 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Conference Object
    Citation - WoS: 6
    Citation - Scopus: 7
    A novel arc-routing problem of electric powered street sweepers with time windows and intermediate stops
    (Elsevier B.V., 2019) Cansu Yurtseven; Mahmut Ali Gökçe; Gokce, Mahmut Ali; Yurtseven, Cansu; D. Ivanov , A. Dolgui , F. Yalaoui
    Waste collection is an important public service performed by municipalities. Powered street sweeping is an important part of waste collection. Recently electric powered street sweepers are used at an increasing rate for due to their energy efficiency. It is important to provide this public service at a minimum cost. We propose a novel mathematical model for determining routing of electric powered street sweepers considering a heterogeneous fleet with different capacities and battery levels to perform a predetermined service with realistic operational constraints. The objective is to minimize energy consumption used to provide the service travelling and disposal operations. © 2021 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Conference Object
    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.
  • Thumbnail Image
    Master Thesis
    Elektrikle çalışan sokak süpürücüleri için zaman pencereli ve ara duraklı ayrıt rotalama problemi
    (2019) Yurtseven, Cansu; Gökçe, Mahmut Ali
    Atık toplama belediye hizmetleri içinde yer alır. Atık toplama problemleri gerçek hayatın içinden ve etkileri yüksek olduğundan, son zamanlarda bu problemler daha fazla çalışılmaya başlanmıştır. Atık toplama hizmetlerinin, karşılığında gelir olmadığından, kamu fonları ile minimum maliyetle gerçekleştirilmesi önemlidir. Sokak süpürme işlemi, belediye hizmetleri arasında atık yönetimi açısından önemli bir yer tutar. Son zamanlarda, elektrikli sokak süpürücüler, enerji verimlilikleri ve çevre koruma nedenleriyle artan bir oranda tercih edilmeye başlanmıştır. Bu çalışmada, atık boşaltım operasyonu, araç şarj planlaması, öğle yemeği ve dinlenme molaları gibi gerçekçi operasyonel kısıtları göz önünde bulundurarak, şehirdeki önceden belirlenmiş bir dizi sokağa hizmet vermek için elektrikle çalışan sokak süpürücülerinin rotalarını belirleme sorunu ele alınmaktadır. Sokak süpürme hizmetini gerçekleştirmek için farklı kapasitelere ve batarya seviyelerine sahip elektrikle çalışan heterojen bir araç filosunu ele alarak, verilen zaman pencereleri içerisinde süpürülme ihtiyacı olan caddelerden atıkları toplamak için, süpürücülerinin optimal rotalarını belirlemek amacıyla, yeni bir matematiksel model önerilmektedir. Kullanılan araçların zaman periyodunun başlangıcında bir depodan çıkması ve gün sonunda tekrar depoya geri dönmesi planlanmaktadır. Enazlanan amaç fonksiyonu, hizmeti kısıtlara göre sağlarken, seyahat ve atık boşaltım işlemlerinde kullanılan enerji tüketimini en aza indirmektir. Matematiksel modelin performansını ölçmek için, gerçek hayat örnekleri ile bir vaka çalışması ve deney tasarımı yapılmış, deney sonuçları incelenmiştir.
  • Thumbnail Image
    Conference Object
    Integrated Transportation and Packaging Problem Modeling and Application
    (Springer Science and Business Media Deutschland GmbH, 2021) Tuğçe Köksal; Ege Akkuş; Gökçe Demirel; Esin Tosun; Mahmut Ali Gökçe; Cansu Yurtseven; Gökçe, Mahmut Ali; Demirel, Gökçe; Köksal, Tuğçe; Yurtseven, Cansu; Tosun, Esin; Akkuş, Ege; N.M. Durakbasa , M.G. Gençyılmaz
    The Hybrid Flow Shop scheduling (HFSS) is a complex problem observed in many real-life problems and usually involves a work environment with multiple parallel machines at each stage. This study deals with a scheduling problem that integrates transportation and packaging operations. The problem originates from a real-life problem at a leading global rim manufacturing company headquartered in Turkey. We propose a novel solution method which is able to create a schedule for all stages while minimizing the total weighted earliness of orders. The studied problem differs from classical HFSS problem in a number of ways therefore an improved mathematical model to accommodate current problem and system constraints is developed. The new two-stage as Mixed-Integer Programming model (MIP) is constructed verified and validated. As the problem is NP-hard a novel rule-based heuristic algorithm for two stages is developed. The performances of the heuristic algorithm and the mathematical model are compared using real-life data from the company. Based on the results from the experimentation proposed heuristic algorithm performs very well in a significantly shorter computational time. Moreover a user-friendly decision support system (DSS) is created and both solution methods are embedded in this DSS for the implementation at the company. © 2020 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Conference Object
    An Open Vehicle Routing Problem for Daily Shipment Plan of a Local Bedding Company in Turkey
    (Springer Science and Business Media Deutschland GmbH, 2020) Bartu Arslan; Özlem Erdin; Deniz Gülce Dağıstanlıoğlu; Ozan Bolel; Çağlar Su; Banu Yetkin Yetkin Ekren; Cansu Yurtseven; Yurtseven, Cansu; Su, Çağlar; Ekren, Banu Y.; Arslan, Bartu; Erdin, Özlem; Dağıstanlıoğlu, Deniz Gülce; Bolel, Ozan; M.N. Osman Zahid , R. Abd. Aziz , A.R. Yusoff , N. Mat Yahya , F. Abdul Aziz , M. Yazid Abu , N.M. Durakbasa , M.G. Gençyilmaz
    This study deals with a daily shipment plan for a bedding company in Turkey. We develop a decision support system optimizing total travel distance of vehicles completing daily shipment plans. In detail the developed models both assign the shipment goods to capacitated vehicles as well as minimize the total travel distance of these vehicles by considering an open vehicle routing algorithm. The decision support system is coded by using the MS excel-macro and a user friendly tool is developed for users’ convenience. In the developed tool there are two different solution approaches: a mixed integer mathematical programming and a heuristic solution approaches. For the small size plans (i.e. less than 25 demand points) mathematical modelling guaranteeing the optimal solution can be utilized. For the large size cases the heuristic algorithm providing a near-optimal result promptly can be utilized. The macro-based tool is designed such a flexible way that the user can make any revisions on the provided plan whenever necessary. © 2022 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 1
    Periodic Route Optimization for FMCG Distributors
    (Springer Science and Business Media Deutschland GmbH, 2020) Onur Çopur; Mert Yildiz; Simru Göven; Ali Övünç Güneri; Alper Berke Yavuz; Mahmut Ali Gökçe; Cansu Yurtseven; Gökçe, Mahmut Ali; Yurtseven, Cansu; Çopur, Onur; Yavuz, Alper Berke; Güneri, Ali Övünç; Yıldız, Mert; Göven, Simru; M.N. Osman Zahid , R. Abd. Aziz , A.R. Yusoff , N. Mat Yahya , F. Abdul Aziz , M. Yazid Abu , N.M. Durakbasa , M.G. Gençyilmaz
    Izmir based Information Technology (IT) solution provider develops supply chain management software tools for many customers from fast moving consumer goods sector (FMCG). Customers of the FMCG sector needs to be visited a certain number of times in a given period by sales representatives. The company must decide which customers must be visited in which sequence by each sales representative while obeying visit frequency and time windows requirements. These decisions have significant impact on total cost. For this reason finding an optimal route for every sales representative for each day of the planning horizon is important. This practically challenging and technically important problem can be described as periodic multiple depot traveling salesman problem with time windows (PMDTSPTW). We propose a novel mathematical model for the optimal solution of this problem. The proposed model minimizes the total distance traveled by sales representatives by deciding which sales representative will visit which customer on which day while following the time windows to collect demand data. The proposed model is applicable to any company from FMCG sector. The solution approach in this study is implemented and tested with real life including coordinates and location data of customers and sales representatives from Turkey’s largest beer distributor. The proposed model is solved using IBM ILOG CPLEX Optimization Studio version 12.8. The results show significant improvement over the current situation. To ensure efficient usage of the proposed approach a user-friendly decision support system (DSS) is constructed and implemented. © 2022 Elsevier B.V. All rights reserved.