Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.
 

Kazanç, Hande Cansın

Profile Picture
Profile URL
https://hdl.handle.net/20.500.12416/8789
Name Variants
Kazanc, Hande Cansin
Kazanç, H.C.
Job Title
Arş. Gör.
Email Address
ckazanc@cankaya.edu.tr
Main Affiliation
İşletme
Status
Current Staff
Website
ORCID ID
0000-0002-5550-2847
Scopus Author ID
57224503232
Turkish CoHE Profile ID
275157
Google Scholar ID
44AjN2IAAAAJ
WoS Researcher ID
MFH-8557-2025
Files
01666.jpg (182.86 KB)

Sustainable Development Goals

13

CLIMATE ACTION
CLIMATE ACTION Logo

0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

0

Research Products

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

0

Research Products

15

LIFE ON LAND
LIFE ON LAND Logo

0

Research Products

17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

1

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

0

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

0

Research Products

6

CLEAN WATER AND SANITATION
CLEAN WATER AND SANITATION Logo

0

Research Products

10

REDUCED INEQUALITIES
REDUCED INEQUALITIES Logo

1

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

1

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

0

Research Products

2

ZERO HUNGER
ZERO HUNGER Logo

0

Research Products

1

NO POVERTY
NO POVERTY Logo

0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

0

Research Products

5

GENDER EQUALITY
GENDER EQUALITY Logo

0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
PEACE, JUSTICE AND STRONG INSTITUTIONS Logo

0

Research Products
Documents

4

Citations

16

h-index

2

Go to Scopus profile
Documents

3

Citations

12

Go to WoS profile
Scholarly Output

5

Articles

5

Views / Downloads

10/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

12

Scopus Citation Count

16

WoS h-index

1

Scopus h-index

2

Patents

0

Projects

0

WoS Citations per Publication

2.40

Scopus Citations per Publication

3.20

Open Access Source

4

Supervised Theses

0

Google Analytics Visitor Traffic

JournalCount
International Transactions in Operational Research2
Open Transportation Journal2
Üçüncü Sektör Sosyal Ekonomi1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

2021 - 20255
Reset filters

Settings

Scholarly Output Search Results

Now showing 1 - 5 of 5
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Dynamic Open Time-Dependent Traveling Salesman Problem With Speed Optimization
    (Wiley, 2024) Cimen, Mustafa; Soysal, Mehmet; Belbag, Sedat; Kazanc, Hande Cansin
    Increased awareness of people of the problems caused by CO2 emissions brings companies to consider environmental issues in their distribution systems. The rapid advance in technology allows logistics companies to tackle with dynamic nature of distribution networks (e.g., a change in the vehicle speed due to unexpected events). The planned routes at the beginning of the time horizon could be subject to modification at any point in time to account for the recent traffic information. This study addresses a dynamic open time-dependent traveling salesman problem. The problem also involves speed optimization that aims to find optimal vehicle speed in a dynamic setting by respecting real-time traffic conditions. We develop a mixed integer linear programming (MILP) formulation for the addressed problem to determine routing and vehicle speed decisions. Furthermore, a MILP-based myopic-clustering decomposition heuristic algorithm has been introduced to solve large-sized instances within reasonable solution times. The use of the heuristic algorithm provides decision-makers with a responsiveness capacity by enabling fast incorporation of dynamically observed data during operations. The numerical analyses demonstrate the potential benefits of employing the proposed tools.
  • Thumbnail Image
    Article
    Citation - WoS: 11
    Citation - Scopus: 10
    A Probabilistic Bi-Objective Model for a Humanitarian Location-Routing Problem Under Uncertain Demand and Road Closure
    (Wiley, 2025) Temiz, Sedanur; Kazanc, Hande Cansin; Soysal, Mehmet; Cimen, Mustafa
    Effective planning and execution of humanitarian aid logistics activities ensure that disaster-related losses are minimized. This study addresses a tactical-level pre-disaster humanitarian logistics problem where a decision-maker decides on cross-dock locations by taking potential vehicle routes into account. A decision support model is proposed for the location selection and distribution operations in humanitarian logistics with explicit fuel consumption estimation. In the addressed problem, the demand amount of each node depends on probabilistic disaster scenarios. Probabilities of whether each arc/road is open or closed and heterogeneous vehicle fleet in terms of vehicle sizes are also respected. The model is formulated as probabilistic bi-objective mixed integer linear programming, whose objectives are minimization of the total cost (i.e., fuel cost, vehicle fixed cost, and fixed opening cost) and total travel time. To the best of our knowledge, the proposed decision support model is unique in terms of the features considered simultaneously. The applicability of the model is demonstrated by the case study and subsequent numerical analyses of a possible earthquake in the Kartal district of Istanbul. The proposed model is shown to have the potential to support decision-makers in preparation for a disaster. A solution approach based on a clustering algorithm has been also proposed to solve larger instances of the problem. The effectiveness of this heuristic has been demonstrated through its application to larger-scale problems.
  • Thumbnail Image
    Article
    Citation - Scopus: 1
    Enhanced Warehousing Operations Through Platform-Driven Horizontal Collaboration Between Service Providers and Customers
    (Bentham Science Publishers, 2025) Cerçi, M.; Kazanç, H.C.; Soysal, M.; Belbag, S.
    Introduction: This study is a research article. The study investigates the problem of customer assignments to existing warehouses within the scope of supply chain management, aiming to achieve cost savings and operational efficiency in warehouse operations. Specifically, the customer assignment problem is modeled under the assumptions of horizontal collaboration, utilization of a shared digital infrastructure, fair distribution, and cold chain logistics. These assumptions are applied within a framework consisting of clusters of service receivers and service providers. Objective: This research aims to assess the impact of horizontal collaboration, common digital infrastructure, cold chain logistics, and fair income distribution assumptions on assignment problems under the title of warehouse management. Methods: A decision support model is proposed for the assignment problem under the title of warehouse management. This model incorporates the key assumptions and operational parameters to optimize customer assignments under varying scenarios. Results: The findings obtained from the study reveal that in the presence of horizontal collaboration among service providers, the costs of service providers are minimized, the demands of service receivers are met more, the profit obtained from service receivers increases, and the number of warehouses used increases. Under the assumption of fair distribution, it has been observed that cold warehouses contribute more to the total profit, in other words, the income obtained per volume of warehouses, since they generate more income compared to standard warehouses. Conclusion: This study highlights the benefits of fostering horizontal collaboration and fair income distribution among supply chain actors through a shared online platform. The results underscore the potential for improving profit levels, meeting customer demands more effectively and optimizing warehouse utilization. These insights provide valuable guidance for decision-makers aiming to enhance supply chain efficiency and equity. © 2025 The Author(s). Published by Bentham Open.
  • Thumbnail Image
    Article
    Heterojen Müşteri Segmentleri ve Talep Belirsizliği Varsayımlarıyla Ağ Tasarımı Problemi İçin Bir Model Önerisi
    (2023) Kazanç, Hande Cansın; Yavrucu, Erencan; Soysal, Mehmet
    Bu çalışmada, talep belirsizliği varsayımı altında aralarında yatay iş birliği bulunan üst düzey müşteriler, orta düzey müşteriler ve temel düzey müşteriler şeklinde heterojen müşteri segmentlerine sahip, dağıtım kanalı seçimi, dağıtım planlaması, envanter, aktarma ve atama kararlarını içeren ağ tasarımı problemine yönelik bir doğrusal tam sayılı programlama modeli geliştirilmiştir. Geliştirilen matematiksel modelin sunulmasının ardından, ele alınan ağ tasarımı problemi genel amaçlı bir çözücü kullanılarak bir örnek olay ve bu örnek olaydan türetilen farklı senaryolar için çözülmüştür. Ardından, örnek olay çözümü ve senaryo çözümlerine yönelik nümerik analizler yapılmış, modelin işlevselliği gösterilmiş ve belirlenen temel performans kriterleri üzerinden değerlendirmeler yapılmıştır. Nümerik analizler sonucunda, benzer karar süreçlerini içeren durumlarla karşılaşan karar vericiler için müşteri segmentasyonu ve yatay iş birliğinin önemi ortaya koyulmuştur. Üst düzey müşteriler arasında ve üst düzey müşterilerden orta düzey müşterilere ürün aktarımı seçeneğinin bulunmamasının toplam maliyeti yükselttiği görülmüştür. Bu sebeple, tedarik zinciri elemanları arasında kurulan yatay iş birliklerinin toplam ağ maliyetinde iyileşme sağladığı söylenebilmektedir.
  • Thumbnail Image
    Article
    Citation - Scopus: 4
    Modeling Heterogeneous Fleet Vehicle Allocation Problem With Emissions Considerations
    (Bentham Science Publishers, 2021) Kazanç, H.C.; Soysal, M.; Çimen, M.
    Aims: This study proposes a bi-objective linear integer programming model for heterogeneous fleet VAP with emissions considerations. Profit maximization and emissions minimization objectives are employed to handle economic and environmental sustainability purposes. Background: Our literature survey shows that there is no model for the heterogeneous fleet VAP with emissions considerations that simultaneously consider vehicle heterogeneity, penalty costs for unmet demands, and emissions from transportation operations. Objective: The model is employed to also make several scenario analyses on sustainable freight logistics management to understand the trade-offs among economic and environmental objectives. In freight transportation problems, decision-makers need to be able to maintain profitability and to reduce emissions. Methods: In this study, a bi-objective linear integer programming model is proposed for a heterogeneous fleet Vehicle Allocation Problem (VAP) with emissions considerations encountered in the field of sustainable freight transportation. Results: In the numerical analyses, various practical assumptions that can be confronted by decision-makers in real life are discussed. In each analysis, total profit and emissions amounts are revealed along with several other KPIs. The results of the analyses provided in this study could also be useful in terms of understanding the relations among pillars of sustainability in VAPs. Conclusion: It is thought that the proposed model has the potential to aid decision-making processes in sustainable logistics management. In the base case analyses, the total profit obtained under profit maximization is about nine times higher than that obtained under emissions minimization. When the aim is to minimize emissions, the total emissions are found to be nearly one-tenth of that of profit maximization. Supported by also additional scenario analyses, it can be concluded that it might not economically viable to be environmentally-friendly for companies. Therefore, companies have to be encouraged or forced to take environmentally and socially responsible actions through legislation. The analyses demonstrated that various legislative policies on emissions may affect the transportation plans differently in such vehicle allocation systems. © 2021 Kazanç et al.